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{ + "cell_type": "code", + "source": [ + "# Mount Google Drive to access stored files\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')\n", + "\n", + "# Install necessary libraries\n", + "!pip install torch torchvision sentence-transformers flask scikit-learn pillow\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rXaoQuxPa5lk", + "outputId": "d61c42c7-ea77-4426-90ec-613767591a05" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n", + "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.5.0+cu121)\n", + "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (0.20.0+cu121)\n", + "Requirement already satisfied: sentence-transformers in /usr/local/lib/python3.10/dist-packages (3.2.1)\n", + "Requirement already satisfied: flask in /usr/local/lib/python3.10/dist-packages (3.0.3)\n", + "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (1.5.2)\n", + "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (11.0.0)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.16.1)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch) (4.12.2)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (3.4.2)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.4)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2024.10.0)\n", + "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch) (1.13.1)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch) (1.3.0)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision) (1.26.4)\n", + "Requirement already satisfied: transformers<5.0.0,>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (4.46.2)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (4.66.6)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (1.13.1)\n", + "Requirement already satisfied: huggingface-hub>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from sentence-transformers) (0.26.2)\n", + "Requirement already satisfied: Werkzeug>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from flask) (3.1.3)\n", + "Requirement already satisfied: itsdangerous>=2.1.2 in /usr/local/lib/python3.10/dist-packages (from flask) (2.2.0)\n", + "Requirement already satisfied: click>=8.1.3 in 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jinja2->torch) (3.0.2)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.41.0->sentence-transformers) (2024.9.11)\n", + "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.41.0->sentence-transformers) (0.4.5)\n", + "Requirement already satisfied: tokenizers<0.21,>=0.20 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.41.0->sentence-transformers) (0.20.3)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (2024.8.30)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "import numpy as np\n", + "import pickle\n", + "from sentence_transformers import SentenceTransformer\n", + "\n", + "# Define the Google Drive path where files are stored\n", + "drive_path = '/content/drive/My Drive/image_project'\n", + "\n", + "# Load image embeddings\n", + "image_embeddings = np.load(os.path.join(drive_path, 'image_embeddings.npy'))\n", + "\n", + "# Load description embeddings\n", + "description_embeddings = np.load(os.path.join(drive_path, 'description_embeddings.npy'))\n", + "\n", + "# Load image paths\n", + "with open(os.path.join(drive_path, 'image_paths.pkl'), 'rb') as f:\n", + " image_paths = pickle.load(f)\n", + "\n", + "# Load the text embedding model\n", + "text_model = SentenceTransformer('all-MiniLM-L6-v2')\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 424, + "referenced_widgets": [ + "a36869aa406b4ae998f5df988c943810", + "7f2829bbb6964f0a9ba10a0720bd31f2", + "e6ca8118a62e439892705cd2a0fcf74e", + "634a128c72314cf6b7ccf8f9faa7ec64", + "f43bfb27ebca49728f1dc3023d4d351e", + "55f3bcde29014ef8a5644dd35a353edd", + "8927abacdab442e894a8f65840bb7906", + "61b3c056030b486aa0c4c50f16127f3f", + "3b2f7820a55c484389bdb247d903e30c", + "0d2bab13907c4b68baba57b23dc8e5c1", + "709ff02a33774effbd7e20929e13c23f", + "843cbb07da4b4d9e967fd197186e39c7", + "2eb870fe09ee4af7b2142e07b48c9a86", + "f5079374803f4b43a5500e0bd8e7bbcb", + "ad92ac2ac46347fca7461421c0fac48a", + "db2e45ac833445b7b28d589726684f20", + "a671d499e406431da6ec7cfd10e400b5", + "c0704fec5722414f9b5ccb6b3d0fda1a", + "3d022cdc080b4bd4b74ace810c047161", + "6a7709467e5c44548d2c1d2f2304e082", + "7ce6386291db4784bafff25c8638888f", + 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"name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/sentence_transformers/cross_encoder/CrossEncoder.py:13: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. 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/root/.cache/pip/wheels/af/a9/3e/3e5d59ee41664eb31a4e6de67d1846f86d16d93c45f277c4e7\n", + "Successfully built hnswlib\n", + "Installing collected packages: xxhash, scipy, neo4j, nano-vectordb, jmespath, jedi, hnswlib, graspologic-native, beartype, anytree, aioitertools, aiofiles, tiktoken, POT, matplotlib, botocore, s3transfer, pyvis, pynndescent, oracledb, ollama, hyppo, umap-learn, boto3, aiobotocore, graspologic, aioboto3, lightrag-hku\n", + " Attempting uninstall: scipy\n", + " Found existing installation: scipy 1.13.1\n", + " Uninstalling scipy-1.13.1:\n", + " Successfully uninstalled scipy-1.13.1\n", + " Attempting uninstall: matplotlib\n", + " Found existing installation: matplotlib 3.8.0\n", + " Uninstalling matplotlib-3.8.0:\n", + " Successfully uninstalled matplotlib-3.8.0\n", + " Running setup.py develop for lightrag-hku\n", + "Successfully installed POT-0.9.5 aioboto3-13.2.0 aiobotocore-2.15.2 aiofiles-24.1.0 aioitertools-0.12.0 anytree-2.12.1 beartype-0.18.5 boto3-1.35.36 botocore-1.35.36 graspologic-3.4.1 graspologic-native-1.2.1 hnswlib-0.8.0 hyppo-0.4.0 jedi-0.19.2 jmespath-1.0.1 lightrag-hku-1.0.0 matplotlib-3.9.2 nano-vectordb-0.0.4.3 neo4j-5.26.0 ollama-0.3.3 oracledb-2.5.0 pynndescent-0.5.13 pyvis-0.3.2 s3transfer-0.10.3 scipy-1.12.0 tiktoken-0.8.0 umap-learn-0.5.7 xxhash-3.5.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "pwd" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 36 + }, + "id": "9dDcHG4JKR4h", + "outputId": "de783530-e1b5-4654-b448-df18c1ffad61" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'/content/REASON'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# !cd examples" + ], + "metadata": { + "id": "oABp_F5oyfSO" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "from lightrag import LightRAG, QueryParam\n", + "from lightrag.llm import hf_model_complete, hf_embedding\n", + "from lightrag.utils import EmbeddingFunc\n", + "from transformers import AutoModel, AutoTokenizer\n", + "\n", + "import nest_asyncio\n", + "nest_asyncio.apply()\n", + "\n", + "WORKING_DIR = \"./local_neo4jWorkDir\"\n", + "\n", + "if not os.path.exists(WORKING_DIR):\n", + " os.mkdir(WORKING_DIR)\n", + "\n", + "rag = LightRAG(\n", + " working_dir=WORKING_DIR,\n", + " llm_model_func=hf_model_complete,\n", + " llm_model_name=\"meta-llama/Llama-3.1-8B-Instruct\",\n", + " embedding_func=EmbeddingFunc(\n", + " embedding_dim=384,\n", + " max_token_size=5000,\n", + " func=lambda texts: hf_embedding(texts,tokenizer=AutoTokenizer.from_pretrained(\"sentence-transformers/all-MiniLM-L6-v2\"),embed_model=AutoModel.from_pretrained(\"sentence-transformers/all-MiniLM-L6-v2\"),),), #\n", + " log_level=\"INFO\",\n", + ")\n" + ], + "metadata": { + "id": "oym_UyI2x3z_", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d2f9323a-0984-4f55-8335-94c7623c56a1" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:lightrag:Logger initialized for working directory: ./local_neo4jWorkDir\n", + "INFO:lightrag:Load KV llm_response_cache with 258 data\n", + "INFO:lightrag:Load KV full_docs with 1 data\n", + "INFO:lightrag:Load KV text_chunks with 123 data\n", + "INFO:lightrag:Loaded graph from ./local_neo4jWorkDir/graph_chunk_entity_relation.graphml with 1282 nodes, 246 edges\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# # Load the extracted PMBOK text\n", + "# with open(\"./pmbok_extracted_text.txt\", \"r\", encoding=\"utf-8\") as f:\n", + "# rag.insert(f.read())" + ], + "metadata": { + "id": "zhVTmqoIMO0l" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# !cd REASON" + ], + "metadata": { + "id": "ndkpP6ikctMR" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "pwd" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 36 + }, + "id": "RKrI6l5xLzfZ", + "outputId": "0ae30a98-013c-496f-e3d7-c367737a413d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'/content/REASON'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# import networkx as nx\n", + "# from pyvis.network import Network\n", + "# import random\n", + "# from google.colab import files\n", + "\n", + "# # Load the GraphML file\n", + "# G = nx.read_graphml('./local_neo4jWorkDir/graph_chunk_entity_relation.graphml')\n", + "\n", + "# # Create a Pyvis network\n", + "# net = Network(notebook=True, cdn_resources='in_line') # Use in-line resources for compatibility in Colab\n", + "\n", + "# # Convert NetworkX graph to Pyvis network\n", + "# net.from_nx(G)\n", + "\n", + "# # Add colors to nodes\n", + "# for node in net.nodes:\n", + "# node['color'] = \"#{:06x}\".format(random.randint(0, 0xFFFFFF))\n", + "\n", + "# # Save the network to an HTML file\n", + "# output_path = 'knowledge_graph.html'\n", + "# net.save_graph(output_path)\n", + "\n", + "# # Provide a link to download the file and view it in a new tab\n", + "# files.download(output_path)\n" + ], + "metadata": { + "id": "PXJtQzovMC8L" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "PvSJZ1StQVjP" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import gc\n", + "import torch\n", + "# Invoke garbage collector\n", + "gc.collect()\n", + "\n", + "# Clear GPU cache\n", + "torch.cuda.empty_cache()" + ], + "metadata": { + "id": "sKp8i62nN-9U" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# import copy\n", + "# rag_export = copy.deepcopy(rag)\n" + ], + "metadata": { + "id": "jspMC4_nQUVn" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# # Example queries related to PMBOK content\n", + "# print(\n", + "# rag_export.query(\"What are the performance domains?\", param=QueryParam(mode=\"local\"))\n", + "# )" + ], + "metadata": { + "id": "4oJ4RuLHR3vd" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install pyngrok\n", + "!pip install flask-cors\n", + "!ngrok authtoken 2ohr0AWtKYSQJnyEDDx7j4QsA66_3sx5aaEgKCWdwxgyYJnMu\n", + "!ngrok http -subdomain=closely-fitting-rattler 5000" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WJoSDJeyfE98", + "outputId": "3d40e8c0-8c82-48b2-dfe9-6d28a0d972c9" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting pyngrok\n", + " Downloading pyngrok-7.2.1-py3-none-any.whl.metadata (8.3 kB)\n", + "Requirement already satisfied: PyYAML>=5.1 in /usr/local/lib/python3.10/dist-packages (from pyngrok) (6.0.2)\n", + "Downloading pyngrok-7.2.1-py3-none-any.whl (22 kB)\n", + "Installing collected packages: pyngrok\n", + "Successfully installed pyngrok-7.2.1\n", + "Collecting flask-cors\n", + " Downloading Flask_Cors-5.0.0-py2.py3-none-any.whl.metadata (5.5 kB)\n", + "Requirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.10/dist-packages (from flask-cors) (3.0.3)\n", + "Requirement already satisfied: Werkzeug>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask-cors) (3.1.3)\n", + "Requirement already satisfied: Jinja2>=3.1.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask-cors) (3.1.4)\n", + "Requirement already satisfied: itsdangerous>=2.1.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask-cors) (2.2.0)\n", + "Requirement already satisfied: click>=8.1.3 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask-cors) (8.1.7)\n", + "Requirement already satisfied: blinker>=1.6.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask-cors) (1.9.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.1.2->Flask>=0.9->flask-cors) (3.0.2)\n", + "Downloading Flask_Cors-5.0.0-py2.py3-none-any.whl (14 kB)\n", + "Installing collected packages: flask-cors\n", + "Successfully installed flask-cors-5.0.0\n", + "Authtoken saved to configuration file: /root/.config/ngrok/ngrok.yml\n", + "http - start an HTTP tunnel\n", + "\n", + "USAGE:\n", + " ngrok http [address:port | port] [flags]\n", + "\n", + "AUTHOR:\n", + " ngrok - \n", + "\n", + "COMMANDS: \n", + " config update or migrate ngrok's configuration file\n", + " http start an HTTP tunnel\n", + " tcp start a TCP tunnel\n", + " tunnel start a tunnel for use with a tunnel-group backend\n", + "\n", + "EXAMPLES: \n", + " ngrok http 80 # secure public URL for port 80 web server\n", + " ngrok http --url baz.ngrok.dev 8080 # port 8080 available at baz.ngrok.dev\n", + " ngrok tcp 22 # tunnel arbitrary TCP traffic to port 22\n", + " ngrok http 80 --oauth=google --oauth-allow-email=foo@foo.com # secure your app with oauth\n", + "\n", + "Paid Features: \n", + " ngrok http 80 --url mydomain.com # run ngrok with your own custom domain\n", + " ngrok http 80 --cidr-allow 2600:8c00::a03c:91ee:fe69:9695/32 # run ngrok with IP policy restrictions\n", + " Upgrade your account at https://dashboard.ngrok.com/billing/subscription to access paid features\n", + "\n", + "Upgrade your account at https://dashboard.ngrok.com/billing/subscription to access paid features\n", + "\n", + "Flags:\n", + " -h, --help help for ngrok\n", + "\n", + "Use \"ngrok [command] --help\" for more information about a command.\n", + "\n", + "ERROR: unknown shorthand flag: 's' in -subdomain=closely-fitting-rattler\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# from flask import Flask, request, jsonify\n", + "# from pyngrok import ngrok\n", + "# from flask_cors import CORS # Import CORS to handle cross-origin requests\n", + "\n", + "# # Initialize the Flask app\n", + "# app = Flask(__name__)\n", + "\n", + "# # Enable CORS for all origins\n", + "# CORS(app)\n", + "\n", + "# @app.route('/predict', methods=['POST'])\n", + "# def predict():\n", + "# try:\n", + "# query = request.json['messages']\n", + "# text = rag_export.query(query, param=QueryParam(mode=\"local\"))\n", + "# response = {\n", + "# \"message\": text\n", + "# }\n", + "# return jsonify(response)\n", + "\n", + "# except Exception as e:\n", + "# print(f\"Error: {e}\")\n", + "# return jsonify({\"error\": str(e)}), 500\n", + "\n", + "# # Start the ngrok tunnel\n", + "# public_url = ngrok.connect(5000)\n", + "# print(\"Public URL:\", public_url)\n", + "\n", + "# # Run the app\n", + "# app.run(port=5000)\n" + ], + "metadata": { + "id": "aSTgh_KXb4-p" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "2iBsRaW3CYO_" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# from flask import Flask, request, jsonify\n", + "# from pyngrok import ngrok\n", + "# from flask_cors import CORS # Import CORS to handle cross-origin requests\n", + "\n", + "# # Initialize the Flask app\n", + "# app = Flask(__name__)\n", + "\n", + "# # Enable CORS for all origins\n", + "# CORS(app)\n", + "\n", + "# @app.route('/predict', methods=['POST'])\n", + "# def predict():\n", + "# try:\n", + "# # Get the query from the JSON request\n", + "# query = request.json['query']\n", + "\n", + "# # Use the image retrieval function (ensure this function is implemented elsewhere)\n", + "# closest_image_path, similarity_score = get_closest_image(query)\n", + "\n", + "# # Prepare the response based on the similarity score\n", + "# if similarity_score is not None:\n", + "# response = {\n", + "# \"closest_image\": closest_image_path,\n", + "# \"similarity_score\": f\"{similarity_score:.2f}\" # Format score if it's not None\n", + "# }\n", + "# else:\n", + "# response = {\n", + "# \"closest_image\": closest_image_path,\n", + "# \"similarity_score\": \"N/A\" # Indicate no score available if None\n", + "# }\n", + "\n", + "# # Respond with the image path and similarity score\n", + "# return jsonify(response)\n", + "\n", + "# except Exception as e:\n", + "# print(f\"Error: {e}\")\n", + "# return jsonify({\"error\": str(e)}), 500\n", + "\n", + "# # Start the ngrok tunnel\n", + "# public_url = ngrok.connect(5000)\n", + "# print(\"Public URL:\", public_url)\n", + "\n", + "# # Run the app\n", + "# app.run(port=5000)\n" + ], + "metadata": { + "id": "Q6UIf7BKKMkm" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from flask import Flask, request, jsonify\n", + "from pyngrok import ngrok\n", + "from flask_cors import CORS # Import CORS to handle cross-origin requests\n", + "\n", + "# Initialize the Flask app\n", + "app = Flask(__name__)\n", + "\n", + "# Enable CORS for all origins\n", + "CORS(app)\n", + "\n", + "# Example placeholders for the functions\n", + "def query_text_model(messages):\n", + " \"\"\"Simulate querying a text model with messages.\"\"\"\n", + "\n", + " # This is a placeholder. Replace it with actual processing code.\n", + " return \"the performance domains response from the model\"\n", + "\n", + "# def get_closest_image(query):\n", + "# \"\"\"Simulate retrieving the closest image based on the query.\"\"\"\n", + "# # Placeholder values; replace with actual image retrieval logic.\n", + "# closest_image_path = \"https://example.com/image.png\"\n", + "# similarity_score = 0.85 # Placeholder similarity score\n", + "# return closest_image_path, similarity_score\n", + "\n", + "@app.route('/predict', methods=['POST'])\n", + "def predict():\n", + " try:\n", + " # Get the messages from the JSON request\n", + " messages = request.json.get('query')\n", + " test_image =\"https://imgv3.fotor.com/images/homepage-feature-card/Car-PNG.jpg\"\n", + " # Generate text response\n", + " text_response = rag.query(messages, param=QueryParam(mode=\"naive\"))\n", + "\n", + " # Retrieve image related to the query\n", + " closest_image_path, similarity_score = get_closest_image(messages)\n", + "\n", + " # Prepare the response to match CustomLLMResponse format\n", + " response = {\n", + " \"text\": text_response,\n", + " \"image_url\": closest_image_path if similarity_score is not None else None\n", + " }\n", + "\n", + " return jsonify(response)\n", + "\n", + " except Exception as e:\n", + " print(f\"Error: {e}\")\n", + " return jsonify({\"error\": str(e)}), 500\n", + "\n", + "# Start the ngrok tunnel\n", + "public_url = ngrok.connect(5000)\n", + "print(\"Public URL:\", public_url)\n", + "\n", + "# Run the app\n", + "app.run(port=5000)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "0402318147404017ba179a960401ada0", + "c5ecfb9c469a496595532bdec912ba6f", + "86e225d59bae4cff99747a36408405f9", + "f17de62cf4e34e2481d7fa29200d6485", + "11298bdae548433d932e2e692090d337", + "3928c2adf5734bb6b360b392f5dade49", + "160c0625b42049869ecb9d68b040483c", + 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"output_type": "stream", + "text": [ + "Public URL: NgrokTunnel: \"https://8e0c-34-57-230-120.ngrok-free.app\" -> \"http://localhost:5000\"\n", + " * Serving Flask app '__main__'\n", + " * Debug mode: off\n" + ] + }, + { + "metadata": { + "tags": null + }, + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:werkzeug:\u001b[31m\u001b[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.\u001b[0m\n", + " * Running on http://127.0.0.1:5000\n", + "INFO:werkzeug:\u001b[33mPress CTRL+C to quit\u001b[0m\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:30:09] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 60 to 3 chunks\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0402318147404017ba179a960401ada0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "tokenizer_config.json: 0%| | 0.00/55.4k [00:001` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:37:20] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:38:27] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 60 to 3 chunks\n", + "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:638: UserWarning: `num_beams` is set to 1. However, `early_stopping` is set to `True` -- this flag is only used in beam-based generation modes. You should set `num_beams>1` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:38:55] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:40:26] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 60 to 3 chunks\n", + "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:638: UserWarning: `num_beams` is set to 1. However, `early_stopping` is set to `True` -- this flag is only used in beam-based generation modes. You should set `num_beams>1` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:40:56] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:47:54] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 60 to 3 chunks\n", + "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:638: UserWarning: `num_beams` is set to 1. However, `early_stopping` is set to `True` -- this flag is only used in beam-based generation modes. You should set `num_beams>1` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:48:03] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:50:16] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 10:50:16] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:14:54] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 21 to 3 chunks\n", + "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:638: UserWarning: `num_beams` is set to 1. However, `early_stopping` is set to `True` -- this flag is only used in beam-based generation modes. You should set `num_beams>1` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:15:24] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:16:00] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:16:00] \"POST /predict HTTP/1.1\" 200 -\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:16:13] \"OPTIONS /predict HTTP/1.1\" 200 -\n", + "INFO:lightrag:Truncate 51 to 3 chunks\n", + "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:638: UserWarning: `num_beams` is set to 1. However, `early_stopping` is set to `True` -- this flag is only used in beam-based generation modes. You should set `num_beams>1` or unset `early_stopping`.\n", + " warnings.warn(\n", + "Setting `pad_token_id` to `eos_token_id`:None for open-end generation.\n", + "INFO:werkzeug:127.0.0.1 - - [13/Nov/2024 11:16:43] \"POST /predict HTTP/1.1\" 200 -\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "vcjzHsO6VB3P" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/README.md b/README.md index 74c40f15..b52d54be 100644 --- a/README.md +++ b/README.md @@ -1,873 +1,24 @@ -

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

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🚀 REASONRAG: Simple and Fast Retrieval-Augmented Generation

-![LightRAG Image](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) - -
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- -This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). -![LightRAG Diagram](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) -
- -## 🎉 News -- [x] [2024.11.12]🎯📢You can [use Oracle Database 23ai for all storage types (kv/vector/graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. -- [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). -- [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. -- [x] [2024.11.04]🎯📢You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage). -- [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. -- [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. -- [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 -- [x] [2024.10.16]🎯📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! -- [x] [2024.10.15]🎯📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - -## Algorithm Flowchart - -![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) - ## Install * Install from source (Recommend) ```bash -cd LightRAG +cd REASONRAG pip install -e . ``` * Install from PyPI ```bash -pip install lightrag-hku +pip install REASONrag-hku ``` ## Quick Start -* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running LightRAG locally. +* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running REASONRAG locally. * All the code can be found in the `examples`. * Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` -* Download the demo text "A Christmas Carol by Charles Dickens": -```bash -curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt -``` -Use the below Python snippet (in a script) to initialize LightRAG and perform queries: - -```python -import os -from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete - -######### -# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() -######### - -WORKING_DIR = "./dickens" - - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model - # llm_model_func=gpt_4o_complete # Optionally, use a stronger model -) - -with open("./book.txt") as f: - rag.insert(f.read()) - -# Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) - -# Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) - -# Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) - -# Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) -``` - -
- Using Open AI-like APIs - -* LightRAG also supports Open AI-like chat/embeddings APIs: -```python -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "solar-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - **kwargs - ) - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model="solar-embedding-1-large-query", - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar" - ) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - max_token_size=8192, - func=embedding_func - ) -) -``` -
- -
- Using Hugging Face Models - -* If you want to use Hugging Face models, you only need to set LightRAG as follows: -```python -from lightrag.llm import hf_model_complete, hf_embedding -from transformers import AutoModel, AutoTokenizer -from lightrag.utils import EmbeddingFunc - -# Initialize LightRAG with Hugging Face model -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=hf_model_complete, # Use Hugging Face model for text generation - llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face - # Use Hugging Face embedding function - embedding_func=EmbeddingFunc( - embedding_dim=384, - max_token_size=5000, - func=lambda texts: hf_embedding( - texts, - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") - ) - ), -) -``` -
- -
- Using Ollama Models - -### Overview -If you want to use Ollama models, you need to pull model you plan to use and embedding model, for example `nomic-embed-text`. - -Then you only need to set LightRAG as follows: - -```python -from lightrag.llm import ollama_model_complete, ollama_embedding -from lightrag.utils import EmbeddingFunc - -# Initialize LightRAG with Ollama model -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, # Use Ollama model for text generation - llm_model_name='your_model_name', # Your model name - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) - ), -) -``` - -### Using Neo4J for Storage - -* For production level scenarios you will most likely want to leverage an enterprise solution -* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. -* See: https://hub.docker.com/_/neo4j - - -```python -export NEO4J_URI="neo4j://localhost:7687" -export NEO4J_USERNAME="neo4j" -export NEO4J_PASSWORD="password" - -When you launch the project be sure to override the default KG: NetworkS -by specifying kg="Neo4JStorage". - -# Note: Default settings use NetworkX -#Initialize LightRAG with Neo4J implementation. -WORKING_DIR = "./local_neo4jWorkDir" - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage", #<-----------override KG default - log_level="DEBUG" #<-----------override log_level default -) -``` -see test_neo4j.py for a working example. - -### Increasing context size -In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: - -#### Increasing the `num_ctx` parameter in Modelfile. - -1. Pull the model: -```bash -ollama pull qwen2 -``` - -2. Display the model file: -```bash -ollama show --modelfile qwen2 > Modelfile -``` - -3. Edit the Modelfile by adding the following line: -```bash -PARAMETER num_ctx 32768 -``` - -4. Create the modified model: -```bash -ollama create -f Modelfile qwen2m -``` - -#### Setup `num_ctx` via Ollama API. -Tiy can use `llm_model_kwargs` param to configure ollama: - -```python -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, # Use Ollama model for text generation - llm_model_name='your_model_name', # Your model name - llm_model_kwargs={"options": {"num_ctx": 32768}}, - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) - ), -) -``` -#### Fully functional example - -There fully functional example `examples/lightrag_ollama_demo.py` that utilizes `gemma2:2b` model, runs only 4 requests in parallel and set context size to 32k. - -#### Low RAM GPUs - -In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. - -
- -### Query Param - -```python -class QueryParam: - mode: Literal["local", "global", "hybrid", "naive"] = "global" - only_need_context: bool = False - response_type: str = "Multiple Paragraphs" - # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. - top_k: int = 60 - # Number of tokens for the original chunks. - max_token_for_text_unit: int = 4000 - # Number of tokens for the relationship descriptions - max_token_for_global_context: int = 4000 - # Number of tokens for the entity descriptions - max_token_for_local_context: int = 4000 -``` - -### Batch Insert - -```python -# Batch Insert: Insert multiple texts at once -rag.insert(["TEXT1", "TEXT2",...]) -``` - -### Incremental Insert - -```python -# Incremental Insert: Insert new documents into an existing LightRAG instance -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=8192, - func=embedding_func, - ), -) - -with open("./newText.txt") as f: - rag.insert(f.read()) -``` - -### Delete Entity - -```python -# Delete Entity: Deleting entities by their names -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=8192, - func=embedding_func, - ), -) - -rag.delete_by_entity("Project Gutenberg") -``` - -### Multi-file Type Support - -The `textract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. - -```python -import textract - -file_path = 'TEXT.pdf' -text_content = textract.process(file_path) - -rag.insert(text_content.decode('utf-8')) -``` - -### Graph Visualization - -
- Graph visualization with html - -* The following code can be found in `examples/graph_visual_with_html.py` - -```python -import networkx as nx -from pyvis.network import Network - -# Load the GraphML file -G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') - -# Create a Pyvis network -net = Network(notebook=True) - -# Convert NetworkX graph to Pyvis network -net.from_nx(G) - -# Save and display the network -net.show('knowledge_graph.html') -``` - -
- -
- Graph visualization with Neo4j - -* The following code can be found in `examples/graph_visual_with_neo4j.py` - -```python -import os -import json -from lightrag.utils import xml_to_json -from neo4j import GraphDatabase - -# Constants -WORKING_DIR = "./dickens" -BATCH_SIZE_NODES = 500 -BATCH_SIZE_EDGES = 100 - -# Neo4j connection credentials -NEO4J_URI = "bolt://localhost:7687" -NEO4J_USERNAME = "neo4j" -NEO4J_PASSWORD = "your_password" - -def convert_xml_to_json(xml_path, output_path): - """Converts XML file to JSON and saves the output.""" - if not os.path.exists(xml_path): - print(f"Error: File not found - {xml_path}") - return None - - json_data = xml_to_json(xml_path) - if json_data: - with open(output_path, 'w', encoding='utf-8') as f: - json.dump(json_data, f, ensure_ascii=False, indent=2) - print(f"JSON file created: {output_path}") - return json_data - else: - print("Failed to create JSON data") - return None - -def process_in_batches(tx, query, data, batch_size): - """Process data in batches and execute the given query.""" - for i in range(0, len(data), batch_size): - batch = data[i:i + batch_size] - tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) - -def main(): - # Paths - xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') - json_file = os.path.join(WORKING_DIR, 'graph_data.json') - - # Convert XML to JSON - json_data = convert_xml_to_json(xml_file, json_file) - if json_data is None: - return - - # Load nodes and edges - nodes = json_data.get('nodes', []) - edges = json_data.get('edges', []) - - # Neo4j queries - create_nodes_query = """ - UNWIND $nodes AS node - MERGE (e:Entity {id: node.id}) - SET e.entity_type = node.entity_type, - e.description = node.description, - e.source_id = node.source_id, - e.displayName = node.id - REMOVE e:Entity - WITH e, node - CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode - RETURN count(*) - """ - - create_edges_query = """ - UNWIND $edges AS edge - MATCH (source {id: edge.source}) - MATCH (target {id: edge.target}) - WITH source, target, edge, - CASE - WHEN edge.keywords CONTAINS 'lead' THEN 'lead' - WHEN edge.keywords CONTAINS 'participate' THEN 'participate' - WHEN edge.keywords CONTAINS 'uses' THEN 'uses' - WHEN edge.keywords CONTAINS 'located' THEN 'located' - WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' - ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') - END AS relType - CALL apoc.create.relationship(source, relType, { - weight: edge.weight, - description: edge.description, - keywords: edge.keywords, - source_id: edge.source_id - }, target) YIELD rel - RETURN count(*) - """ - - set_displayname_and_labels_query = """ - MATCH (n) - SET n.displayName = n.id - WITH n - CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node - RETURN count(*) - """ - - # Create a Neo4j driver - driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) - - try: - # Execute queries in batches - with driver.session() as session: - # Insert nodes in batches - session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) - - # Insert edges in batches - session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) - - # Set displayName and labels - session.run(set_displayname_and_labels_query) - - except Exception as e: - print(f"Error occurred: {e}") - - finally: - driver.close() - -if __name__ == "__main__": - main() -``` - -
- -## API Server Implementation - -LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. - -### Setting up the API Server -
-Click to expand setup instructions - -1. First, ensure you have the required dependencies: -```bash -pip install fastapi uvicorn pydantic -``` - -2. Set up your environment variables: -```bash -export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" -export OPENAI_BASE_URL="Your OpenAI API base URL" # Optional: Defaults to "https://api.openai.com/v1" -export OPENAI_API_KEY="Your OpenAI API key" # Required -export LLM_MODEL="Your LLM model" # Optional: Defaults to "gpt-4o-mini" -export EMBEDDING_MODEL="Your embedding model" # Optional: Defaults to "text-embedding-3-large" -``` - -3. Run the API server: -```bash -python examples/lightrag_api_openai_compatible_demo.py -``` - -The server will start on `http://0.0.0.0:8020`. -
- -### API Endpoints - -The API server provides the following endpoints: - -#### 1. Query Endpoint -
-Click to view Query endpoint details - -- **URL:** `/query` -- **Method:** POST -- **Body:** -```json -{ - "query": "Your question here", - "mode": "hybrid", // Can be "naive", "local", "global", or "hybrid" - "only_need_context": true // Optional: Defaults to false, if true, only the referenced context will be returned, otherwise the llm answer will be returned -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/query" \ - -H "Content-Type: application/json" \ - -d '{"query": "What are the main themes?", "mode": "hybrid"}' -``` -
- -#### 2. Insert Text Endpoint -
-Click to view Insert Text endpoint details - -- **URL:** `/insert` -- **Method:** POST -- **Body:** -```json -{ - "text": "Your text content here" -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/insert" \ - -H "Content-Type: application/json" \ - -d '{"text": "Content to be inserted into RAG"}' -``` -
- -#### 3. Insert File Endpoint -
-Click to view Insert File endpoint details - -- **URL:** `/insert_file` -- **Method:** POST -- **Body:** -```json -{ - "file_path": "path/to/your/file.txt" -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/insert_file" \ - -H "Content-Type: application/json" \ - -d '{"file_path": "./book.txt"}' -``` -
- -#### 4. Health Check Endpoint -
-Click to view Health Check endpoint details - -- **URL:** `/health` -- **Method:** GET -- **Example:** -```bash -curl -X GET "http://127.0.0.1:8020/health" -``` -
- -### Configuration - -The API server can be configured using environment variables: -- `RAG_DIR`: Directory for storing the RAG index (default: "index_default") -- API keys and base URLs should be configured in the code for your specific LLM and embedding model providers - -### Error Handling -
-Click to view error handling details - -The API includes comprehensive error handling: -- File not found errors (404) -- Processing errors (500) -- Supports multiple file encodings (UTF-8 and GBK) -
- -## Evaluation -### Dataset -The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). - -### Generate Query -LightRAG uses the following prompt to generate high-level queries, with the corresponding code in `example/generate_query.py`. - -
- Prompt - -```python -Given the following description of a dataset: - -{description} - -Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. - -Output the results in the following structure: -- User 1: [user description] - - Task 1: [task description] - - Question 1: - - Question 2: - - Question 3: - - Question 4: - - Question 5: - - Task 2: [task description] - ... - - Task 5: [task description] -- User 2: [user description] - ... -- User 5: [user description] - ... -``` -
- - ### Batch Eval -To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. - -
- Prompt - -```python ----Role--- -You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. ----Goal--- -You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - -- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? -- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? -- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? - -For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. - -Here is the question: -{query} - -Here are the two answers: - -**Answer 1:** -{answer1} - -**Answer 2:** -{answer2} - -Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. - -Output your evaluation in the following JSON format: - -{{ - "Comprehensiveness": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Empowerment": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Overall Winner": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" - }} -}} -``` -
- -### Overall Performance Table -| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | -|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| -| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | -| **Comprehensiveness** | 32.4% | **67.6%** | 38.4% | **61.6%** | 16.4% | **83.6%** | 38.8% | **61.2%** | -| **Diversity** | 23.6% | **76.4%** | 38.0% | **62.0%** | 13.6% | **86.4%** | 32.4% | **67.6%** | -| **Empowerment** | 32.4% | **67.6%** | 38.8% | **61.2%** | 16.4% | **83.6%** | 42.8% | **57.2%** | -| **Overall** | 32.4% | **67.6%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 40.0% | **60.0%** | -| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | -| **Comprehensiveness** | 31.6% | **68.4%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 39.2% | **60.8%** | -| **Diversity** | 29.2% | **70.8%** | 39.2% | **60.8%** | 11.6% | **88.4%** | 30.8% | **69.2%** | -| **Empowerment** | 31.6% | **68.4%** | 36.4% | **63.6%** | 15.2% | **84.8%** | 42.4% | **57.6%** | -| **Overall** | 32.4% | **67.6%** | 38.0% | **62.0%** | 14.4% | **85.6%** | 40.0% | **60.0%** | -| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | -| **Comprehensiveness** | 26.0% | **74.0%** | 41.6% | **58.4%** | 26.8% | **73.2%** | 40.4% | **59.6%** | -| **Diversity** | 24.0% | **76.0%** | 38.8% | **61.2%** | 20.0% | **80.0%** | 32.4% | **67.6%** | -| **Empowerment** | 25.2% | **74.8%** | 40.8% | **59.2%** | 26.0% | **74.0%** | 46.0% | **54.0%** | -| **Overall** | 24.8% | **75.2%** | 41.6% | **58.4%** | 26.4% | **73.6%** | 42.4% | **57.6%** | -| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | -| **Comprehensiveness** | 45.6% | **54.4%** | 48.4% | **51.6%** | 48.4% | **51.6%** | **50.4%** | 49.6% | -| **Diversity** | 22.8% | **77.2%** | 40.8% | **59.2%** | 26.4% | **73.6%** | 36.0% | **64.0%** | -| **Empowerment** | 41.2% | **58.8%** | 45.2% | **54.8%** | 43.6% | **56.4%** | **50.8%** | 49.2% | -| **Overall** | 45.2% | **54.8%** | 48.0% | **52.0%** | 47.2% | **52.8%** | **50.4%** | 49.6% | - -## Reproduce -All the code can be found in the `./reproduce` directory. - -### Step-0 Extract Unique Contexts -First, we need to extract unique contexts in the datasets. - -
- Code - -```python -def extract_unique_contexts(input_directory, output_directory): - - os.makedirs(output_directory, exist_ok=True) - - jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) - print(f"Found {len(jsonl_files)} JSONL files.") - - for file_path in jsonl_files: - filename = os.path.basename(file_path) - name, ext = os.path.splitext(filename) - output_filename = f"{name}_unique_contexts.json" - output_path = os.path.join(output_directory, output_filename) - - unique_contexts_dict = {} - - print(f"Processing file: {filename}") - - try: - with open(file_path, 'r', encoding='utf-8') as infile: - for line_number, line in enumerate(infile, start=1): - line = line.strip() - if not line: - continue - try: - json_obj = json.loads(line) - context = json_obj.get('context') - if context and context not in unique_contexts_dict: - unique_contexts_dict[context] = None - except json.JSONDecodeError as e: - print(f"JSON decoding error in file {filename} at line {line_number}: {e}") - except FileNotFoundError: - print(f"File not found: {filename}") - continue - except Exception as e: - print(f"An error occurred while processing file {filename}: {e}") - continue - - unique_contexts_list = list(unique_contexts_dict.keys()) - print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") - - try: - with open(output_path, 'w', encoding='utf-8') as outfile: - json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) - print(f"Unique `context` entries have been saved to: {output_filename}") - except Exception as e: - print(f"An error occurred while saving to the file {output_filename}: {e}") - - print("All files have been processed.") - -``` -
- -### Step-1 Insert Contexts -For the extracted contexts, we insert them into the LightRAG system. - -
- Code - -```python -def insert_text(rag, file_path): - with open(file_path, mode='r') as f: - unique_contexts = json.load(f) - - retries = 0 - max_retries = 3 - while retries < max_retries: - try: - rag.insert(unique_contexts) - break - except Exception as e: - retries += 1 - print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") - time.sleep(10) - if retries == max_retries: - print("Insertion failed after exceeding the maximum number of retries") -``` -
- -### Step-2 Generate Queries - -We extract tokens from the first and the second half of each context in the dataset, then combine them as dataset descriptions to generate queries. - -
- Code - -```python -tokenizer = GPT2Tokenizer.from_pretrained('gpt2') - -def get_summary(context, tot_tokens=2000): - tokens = tokenizer.tokenize(context) - half_tokens = tot_tokens // 2 - - start_tokens = tokens[1000:1000 + half_tokens] - end_tokens = tokens[-(1000 + half_tokens):1000] - - summary_tokens = start_tokens + end_tokens - summary = tokenizer.convert_tokens_to_string(summary_tokens) - - return summary -``` -
- -### Step-3 Query -For the queries generated in Step-2, we will extract them and query LightRAG. - -
- Code - -```python -def extract_queries(file_path): - with open(file_path, 'r') as f: - data = f.read() - - data = data.replace('**', '') - - queries = re.findall(r'- Question \d+: (.+)', data) - - return queries -``` -
- ## Code Structure ```python @@ -877,23 +28,23 @@ def extract_queries(file_path): │ ├── generate_query.py │ ├── graph_visual_with_html.py │ ├── graph_visual_with_neo4j.py -│ ├── lightrag_api_openai_compatible_demo.py -│ ├── lightrag_azure_openai_demo.py -│ ├── lightrag_bedrock_demo.py -│ ├── lightrag_hf_demo.py -│ ├── lightrag_lmdeploy_demo.py -│ ├── lightrag_ollama_demo.py -│ ├── lightrag_openai_compatible_demo.py -│ ├── lightrag_openai_demo.py -│ ├── lightrag_siliconcloud_demo.py +│ ├── REASONrag_api_openai_compatible_demo.py +│ ├── REASONrag_azure_openai_demo.py +│ ├── REASONrag_bedrock_demo.py +│ ├── REASONrag_hf_demo.py +│ ├── REASONrag_lmdeploy_demo.py +│ ├── REASONrag_ollama_demo.py +│ ├── REASONrag_openai_compatible_demo.py +│ ├── REASONrag_openai_demo.py +│ ├── REASONrag_siliconcloud_demo.py │ └── vram_management_demo.py -├── lightrag +├── REASONrag │ ├── kg │ │ ├── __init__.py │ │ └── neo4j_impl.py │ ├── __init__.py │ ├── base.py -│ ├── lightrag.py +│ ├── REASONrag.py │ ├── llm.py │ ├── operate.py │ ├── prompt.py @@ -920,11 +71,11 @@ def extract_queries(file_path): ## Star History - + - - - Star History Chart + + + Star History Chart @@ -932,15 +83,15 @@ def extract_queries(file_path): Thank you to all our contributors! - - + + ## 🌟Citation ```python -@article{guo2024lightrag, -title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +@article{guo2024REASONrag, +title={REASONRAG: Simple and Fast Retrieval-Augmented Generation}, author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, year={2024}, eprint={2410.05779}, diff --git a/constraints.txt b/constraints.txt new file mode 100644 index 00000000..2c755f1e --- /dev/null +++ b/constraints.txt @@ -0,0 +1,192 @@ +Constraints, balancing competing, 72Contingency plans, 119, 123Contingency reserve, 62, 63, 127. See also +Reserve analysis +PMI Seventh Edition July 2021258 +PMBOK® GuideContinuous delivery +description of, 34 +supporting strategies for, 222 +Continuous development, 218Continuous digital approach, 34Continuous improvement, 139, 213, 214Contracting processes, 75–76Contractor conferences. See Bidder conferencesContracts, 191. See also Agreements +Control chart, 106Controlling, monitoring and, 171Conversation, 14, 156, 192COQ. See Cost of quality +Corrective action, 190Correlation versus causation, 112Cost(s) +actual, 100appraisal, 88change and, 90–91external failure, 89failure, 88, 89internal failure, 89prevention, 88 +Cost baseline, 62, 63, 188Cost-benefit analysis, 175Cost-benefit ratio, 102Cost estimates, 62, 63, 105Cost management plan, 186Cost of change, 90–91Cost of quality (COQ), 88–89 +appraisal, 88data gathering and analysis, 175definition, 81Delivery Performance Domain, 88–89external failure, 89internal failure, 89prevention, 88 +Cost performance index (CPI), 100, 104Cost plus award fee (CPAF), 191Cost plus fixed fee (CPFF), 191Cost plus incentive fee (CPIF), 191Cost-reimbursable contracts, 191Cost reserve, 122Cost variance (CV), 80Courage, 21CPAF. See Cost plus award feeCPFF. See Cost plus fixed feeCPI. See Cost performance indexCPIF. See Cost plus incentive feeCrashing, 52Criteria +acceptance, 42, 82, 85completion, 85entry, 46exit, 42, 46, 50requirements elicitation and, 83 +Critical path, 100Critical success factor, 207Critical thinking, 24Cross-cultural communication model, 157Culture +organization and, 41, 143tailoring for project, 143team, 20 +Cumulative flow diagram (CFD), 188Customer centricity, 131, 219, 225Customer-centric organizations, 225Customer focus, 208Customer requests, 66Customer satisfaction, 95, 112CV.See Cost variance +Cycle time chart, 189Cynefin framework, 164–165 +D +Daily scrum, 179Daily standup, 127, 179Dashboards, 106–107 +definition, 93,visual data and, 189 +Data analysis, outputs of, 174Data gathering and analysis, 174–177Decision making, 27–28 +group-based, 28sponsors and, 208 +Decision tree analysis, 175Decomposition. See also Work breakdown +structure (WBS) +scope, 84 +PMI Seventh Edition July 2021259 +IndexDecoupling, 121 +Defect(s) +external failure costs and, 89integrity and, 20internal failure costs and, 89metrics and, 97, 98prevention of, 68reputation and, 69 +Definition of done (DoD), 81, 85Deliverable(s) +completion of, 85definition, 33, 82degree of innovation and, 39 +Delivery Performance Domain, 82–87 +development approach for, 50hybrid approach and, 36lagging indicators and, 96project, 54requirements, 82–83tailoring for project, 142 +Delivery cadence, 32–34, 46–50 +Development Approach and Life Cycle Performance Domain, 46–48 +Delivery/deliveries +continuous, 34measurements of, 99models, 221multiple, 34ongoing delivery model and, 221options for, 40periodic, 34Planning Performance Domain, 54project management office (PMO) and, 213single delivery, 34 +Delivery Performance Domain, 80–92 +definitions relevant to, 81deliverables, 82–87interactions with other performance +domains, 91outcomes, checking, 92outcomes, desired, 80outcomes, suboptimal, 91overview, 80–81quality, 87–91tailoring considerations, 149value, delivery of, 81–82Demoralization, 112Dependencies, types of, 60Deploy phase, 47Design, set-based, 119Design reviews, 127Desired outcomes +Measurement Performance Domain, 93Uncertainty Performance Domain, 116 +Development and delivery approach, tailoring +and, 137 +Development Approach and Life Cycle +Performance Domain, 32–50 +aligning delivery cadence, development approach, and life cycle, 46–49definitions relevant to, 33delivery cadence, 33–34development, cadence, and life cycle relationship, 33development approaches, 35–41interactions with other performance domains, 49–50life cycle and phase definitions, 42–45outcomes and, 32, 50overview, 32tailoring and, 148, 150 +Development approaches, 35–39 +adaptive approach, 38community center and, 36, 38, 39considerations for selection of, 39–41hybrid approach, 36incremental development, 37iterative development, 37planning variables and, 53predictive approach, 35–36spectrum view of, 35tailoring process and, 138 +Development life cycle, 89Development phase, 47DevOps approach, 34Diagnostics, tailoring and, 151Discourse, positive, 21Discretionary dependency, 60Diversion shield, 18Diversity, reframing and, 121 +PMI Seventh Edition July 2021260 +PMBOK® GuideDocument(s) +bid, 70, 75, 192 +business, 82business case document, 82project, 62project-authorizing, 82 +Documentation +requirements, 83, 192written communication, 73 +Domains. See Performance domains; Project +performance domains +Drexler/Sibbet Team Performance Model, 167Duration, 52, 62, 224 +effort and, 100 +Duration estimates, 105 +E +EAC. See Estimate at completionEarned value (EV), 100, 101Earned value analysis (EVA) +definition, 176schedule and cost variance, 101 +Earned value management (EVM), 100, 104, 105Effort, 100 +8-Step Process for Leading Change, 162, 173 +Emotional intelligence (EI), 25–27 +components of, 27key areas, 26 +Empowerment +culture and, 143high-performing project teams and, 22tailoring engagement and, 136 +EMV. See Expected monetary value (EMV)Encouragement, development opportunities +and, 18 +Engage, 121Engagement. +See also Stakeholder engagement +communication and, 73lack of, sponsor and, 208Project Work Performance Domain, 73tailoring, 136Enterprise-level PMO (EPMO), 212Environment +product, 222tailoring and, 154 +Environmental considerations, 53, 129Escalation +threats and, 123 +Estimate(s). See also Basis of estimates +analogous, 178definition, 52parametric, 178 +Estimate at completion (EAC), 104, 105Estimate to complete (ETC), 104, 105Estimating, 55–58 +absolute, 57adjusting estimates for uncertainty, 58deterministic, 57flow-based, 58life cycle phase and, 55low accuracy, high precision, 56Planning Performance Domain, 55–58probabilistic, 57range decreasing over time, 56relative, 57, 58 +Estimating methods, 178EVA. See Earned value analysisEVM. See Earned value managementException plan +definition, 114triggering of, 113 +Executing Process Group, 171Expected monetary value (EMV), 116, 126, 176Expert judgment, 104. See also Subject matter +experts (SMEs) +Explicit knowledge, 70, 77–78External dependency, 60External failure costs, 89Extrinsic motivation, 159 +PMI Seventh Edition July 2021261 +IndexF +Fail safe, 121 +Failure analysis, 89Failure costs +internal and external, 89noncompliance and, 88 +Fast tracking, 52, 59, 60Feasibility, 42, 43Feature completion rates, 100Feedback loops, 13, 161Fees, contracts and, 91FFP. See Firm fixed priceFinance, 221Finish date, 100Finish-to-finish relationship, 59Finish-to-start relationship, 59Firm fixed price (FFP), 191Fist of five voting, 28Fixed-price contracts, 191Fixed price incentive fee (FPIF), 191Fixed price with economic price adjustment +(FPEPA), 191 +Flow-based estimating, 58Flow-based projects, 109Flow-based scheduling, 45Flowchart, 189Focus groups, 83, 174Forecasting, 104–105 +data gathering and analysis, 176methods, 32, 160–161 +Forming, storming, norming, performing, +adjourning, 166 +FPIF. +See Fixed price incentive fee +FFP. See Firm fixed priceFunction point, 178Funding, 224 +availability of, 41incremental, 222, 223limitations, 62project processes and, 71requirements, 46G +Gantt chart, 189Globalization/global environment +cross-cultural communication, 157distributed project teams, 30 +Global market shifts, 219–221Good practices, 165, 180, 212Governance. See also Organizational governance +development approach and, 148project, 87tailoring, and, 131, 139 +Group(s). +external, 140Process Groups, 170–171 +Growth, 19Guidance, 19Gulf of evaluation, 158Gulf of execution, 158 +H +Hawthorne effect, 112Hierarchical charts, 187High-level requirements, 39High-performing project teams, 22Histogram, 175, 189Historical information, 149Holistic thinking approach, 51, 68, 89Holistic view, 98, 190Hybrid development approach, 33, 36Hygiene factors, 158 +I +ID. See Activity identifierIdea, transforming, 163Identified risks, 127Identify step, stakeholder engagement, 11IDIQ. See Indefinite delivery indefinite quantity +Impact mapping, 181Improvement, continuous, 139, 213, 214Incremental development approach, 37, 44Incremental guidance and funding, 223 +PMI Seventh Edition July 2021262 +PMBOK® GuideIndefinite delivery indefinite quantity (IDIQ), 191 +Indicators. See Key performance indicators (KPIs)Individual project risk, 177, 190Industry/industries +market and, 142traditional product, 224 +Influence +development approach and, 39, 40, 41leadership and, 29sponsors and, 209 +Influence diagram, 176Information +gathering, 119historical, 149Measurement Performance Domain, 106–111presenting, 106–111 +Information radiator, 108, 109Initiating Process Group, 171Initiatives, critical, 214Innovation +degree of, 39 +Input(s) +flow of deliveries and, 45Process Groups and, 171 +Inputs, tools/techniques, and outputs (ITTOs), 6Inspection, 42, 47, 88, 89Integration +practice and, 163tailoring engagement and, 136 +Integrity, 20Intellectual property, 75Interactions, performance domains +Delivery Performance Domain, 91Development Approach and Life Cycle Performance Domain, 49–50Measurement Performance Domain, 114–115Planning Performance Domain, 67Project Work Performance Domain, 78Stakeholder Performance Domain, 14Team Performance Domain, 31Uncertainty Performance Domain, 128 +Internal dependency, 60Internal failure costs, 89Internal rate of return (IRR), 175Interpersonal skills, 25–29 +soft skills, 12stakeholder engagement and, 12types of, 23–29 +Intrinsic motivation, 159IRR. See Internal rate of returnIssue log, 185Iterate, 121Iteration, 44–45, 53Iteration plan, 61, 186Iteration planning meeting, 179Iteration review, 179Iterative development, 37Iterative process, 120ITTOs. See Inputs, tools/techniques, and outputs +J +Job shadowing, 78Judgment. See Expert judgment +Just-in-time scheduling approach, 45 +K +Kanban boards, 109, 110Kanban scheduling system, 45Key performance indicators (KPIs), 95–96Key stakeholders, 11, 23, 44, 167, 179Kickoff meeting, 179, 183Knowledge +explicit, 70, 77–78tacit, 77–78 +Knowledge management, 77Knowledge management repository, 149Knowledge transfer, 213KPIs. See Key performance indicators +L +Lagging indicators, 96Lags, leads and, 59Late start and finish dates, 100 +PMI Seventh Edition July 2021263 +IndexLeadership +centralized management and, 17 +distributed management and, 17–18styles and, 30team, 17–19 +Leadership skills, 23–29 +critical thinking, 24interpersonal skills, 25–29motivation, 24–25team, 23–29vision, establishing and maintaining, 23 +Leadership styles, tailoring, 30Leading indicators, 96Leads, lags and, 59Lead time chart, 189Lean production methods, 71Lean scheduling approach, 45Learning throughout project +explicit and tacit knowledge, 77–78knowledge management, 77 +Legal requirements, 118, 149Legal restrictions, 54Lessons learned. See also Retrospectives +meetings, 127, 180retrospectives or, 71tailoring and, 151 +Lessons learned register, 185Life cycle. See also Predictive life cycle; Product +life cycle; Project life cycle +adaptive development approach, 45community center, 48development, 89Development Approach and Life Cycle Performance Domain, 42–45incremental development approach, 44phase definitions and, 42–45phases in, 42, 46–48predictive, 43, 49tailoring and, 150 +Life cycle and development approach, tailoring +and, 134 +Life cycle assessment, 176Logs and registers, 185M +Make-or-buy analysis, 65, 176Management +change, 213conflict, 29project team, leadership and, 17–19requirements and, 83self-management, 26, 27 +Management reserve, 127Mandatory dependency, 60Market conditions, 54Market shifts, global, 219–221Master project schedule, 74Mastery, 159Materials, environment and, 53Measurement(s). See also Metrics +baseline performance, 100–101business value, 102delivery, 99effective, establishment of, 95–105forecasts, 104–105key performance indicators (KPIs), 95–96pitfalls, 111–112resources, 101stakeholders, 103–104what to measure, 98–105 +Measurement Performance Domain, 93–115 +checking results, 115definitions relevant to, 93effective measures, establishment of, 95–105establishing effective measures, 95–105growing and improving, 114interactions with other performance +domains, 114–115measurement pitfalls, 111–112outcomes, checking, 115outcomes, desired, 93overview, 93–95presenting information, 106–111tailoring considerations, 150troubleshooting performance, 113–114what to measure, 98–105 +Media richness, 157 +PMI Seventh Edition July 2021264 +PMBOK® GuideMeetings +bidder conference, 70, 179 +change control, 179events and, 179–180retrospectives/lessons learned, 71, 127, 179risk review and, 127standup, 127, 179types of, 179–180 +Memorandum of agreement (MOA), 191Memorandum of understanding (MOU), 191Methods, 174–181 +applied across performance domains, 181–183data gathering and analysis, 174–177definition, 153estimating, 178impact mapping, 181meetings and events, 179–180modeling, 181Net Promoter Score +® (NPS®), 181 +overview, 153–155prioritization schema, 181tailoring, 136timebox, 181 +Metrics. See also Measurement Performance +Domain; Measurement(s) +definition, 93, 192deliverable, 98effective, 97misuse of, 112Planning Performance Domain, 66SMART criteria, 97vanity metric, 112work performance, 66 +Milestones, roadmap and, 184Milestone schedule, 188. See also Master +project schedule +Modeling, 181Models. See also + Change models; Communication +models; Complexity models; Motivation models; Negotiation models +applied across performance domains, 112–113commonly used, 95–98conflict, 168–169definition, 153mapping of, performance domains and, 173OSCAR model, 156overview, 153–155planning, 170Process Groups, 170–171project team development, 166–167Salience Model, 171situational leadership, 155–156win-win perspective and, 169, 170 +Monitoring +controlling and, 171new work and changes, 76–77 +Monitoring and Controlling Process Group, 171Monte Carlo simulation, 177Mood chart, 103Morale, 104, 112MoSCoW, 181Motivation +emotional intelligence and, 27leadership skills and, 24–25sponsors and, 210 +Motivation models, 158–160 +hygiene and motivational factors, 158intrinsic versus extrinsic motivation, 159theory of needs, 159Theory X, Theory Y, and Theory Z, 160 +MOA. See Memorandum of agreement +MOU. See Memorandum of understandingMulticriteria weighted analysis, 181Multipoint estimating, 178 +N \ No newline at end of file diff --git a/examples/batch_eval.py b/examples/batch_eval.py deleted file mode 100644 index a85e1ede..00000000 --- a/examples/batch_eval.py +++ /dev/null @@ -1,108 +0,0 @@ -import re -import json -import jsonlines - -from openai import OpenAI - - -def batch_eval(query_file, result1_file, result2_file, output_file_path): - client = OpenAI() - - with open(query_file, "r") as f: - data = f.read() - - queries = re.findall(r"- Question \d+: (.+)", data) - - with open(result1_file, "r") as f: - answers1 = json.load(f) - answers1 = [i["result"] for i in answers1] - - with open(result2_file, "r") as f: - answers2 = json.load(f) - answers2 = [i["result"] for i in answers2] - - requests = [] - for i, (query, answer1, answer2) in enumerate(zip(queries, answers1, answers2)): - sys_prompt = """ - ---Role--- - You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - """ - - prompt = f""" - You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - - - **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? - - **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? - - **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? - - For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. - - Here is the question: - {query} - - Here are the two answers: - - **Answer 1:** - {answer1} - - **Answer 2:** - {answer2} - - Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. - - Output your evaluation in the following JSON format: - - {{ - "Comprehensiveness": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Empowerment": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Overall Winner": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" - }} - }} - """ - - request_data = { - "custom_id": f"request-{i+1}", - "method": "POST", - "url": "/v1/chat/completions", - "body": { - "model": "gpt-4o-mini", - "messages": [ - {"role": "system", "content": sys_prompt}, - {"role": "user", "content": prompt}, - ], - }, - } - - requests.append(request_data) - - with jsonlines.open(output_file_path, mode="w") as writer: - for request in requests: - writer.write(request) - - print(f"Batch API requests written to {output_file_path}") - - batch_input_file = client.files.create( - file=open(output_file_path, "rb"), purpose="batch" - ) - batch_input_file_id = batch_input_file.id - - batch = client.batches.create( - input_file_id=batch_input_file_id, - endpoint="/v1/chat/completions", - completion_window="24h", - metadata={"description": "nightly eval job"}, - ) - - print(f"Batch {batch.id} has been created.") - - -if __name__ == "__main__": - batch_eval() diff --git a/examples/generate_query.py b/examples/generate_query.py deleted file mode 100644 index 705b23d3..00000000 --- a/examples/generate_query.py +++ /dev/null @@ -1,55 +0,0 @@ -from openai import OpenAI - -# os.environ["OPENAI_API_KEY"] = "" - - -def openai_complete_if_cache( - model="gpt-4o-mini", prompt=None, system_prompt=None, history_messages=[], **kwargs -) -> str: - openai_client = OpenAI() - - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - - response = openai_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - return response.choices[0].message.content - - -if __name__ == "__main__": - description = "" - prompt = f""" - Given the following description of a dataset: - - {description} - - Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. - - Output the results in the following structure: - - User 1: [user description] - - Task 1: [task description] - - Question 1: - - Question 2: - - Question 3: - - Question 4: - - Question 5: - - Task 2: [task description] - ... - - Task 5: [task description] - - User 2: [user description] - ... - - User 5: [user description] - ... - """ - - result = openai_complete_if_cache(model="gpt-4o-mini", prompt=prompt) - - file_path = "./queries.txt" - with open(file_path, "w") as file: - file.write(result) - - print(f"Queries written to {file_path}") diff --git a/examples/graph_visual_with_html.py b/examples/graph_visual_with_html.py deleted file mode 100644 index 11279b3a..00000000 --- a/examples/graph_visual_with_html.py +++ /dev/null @@ -1,19 +0,0 @@ -import networkx as nx -from pyvis.network import Network -import random - -# Load the GraphML file -G = nx.read_graphml("./dickens/graph_chunk_entity_relation.graphml") - -# Create a Pyvis network -net = Network(height="100vh", notebook=True) - -# Convert NetworkX graph to Pyvis network -net.from_nx(G) - -# Add colors to nodes -for node in net.nodes: - node["color"] = "#{:06x}".format(random.randint(0, 0xFFFFFF)) - -# Save and display the network -net.show("knowledge_graph.html") diff --git a/examples/graph_visual_with_neo4j.py b/examples/graph_visual_with_neo4j.py deleted file mode 100644 index 7377f21c..00000000 --- a/examples/graph_visual_with_neo4j.py +++ /dev/null @@ -1,126 +0,0 @@ -import os -import json -from lightrag.utils import xml_to_json -from neo4j import GraphDatabase - -# Constants -WORKING_DIR = "./dickens" -BATCH_SIZE_NODES = 500 -BATCH_SIZE_EDGES = 100 - -# Neo4j connection credentials -NEO4J_URI = "bolt://localhost:7687" -NEO4J_USERNAME = "neo4j" -NEO4J_PASSWORD = "your_password" - - -def convert_xml_to_json(xml_path, output_path): - """Converts XML file to JSON and saves the output.""" - if not os.path.exists(xml_path): - print(f"Error: File not found - {xml_path}") - return None - - json_data = xml_to_json(xml_path) - if json_data: - with open(output_path, "w", encoding="utf-8") as f: - json.dump(json_data, f, ensure_ascii=False, indent=2) - print(f"JSON file created: {output_path}") - return json_data - else: - print("Failed to create JSON data") - return None - - -def process_in_batches(tx, query, data, batch_size): - """Process data in batches and execute the given query.""" - for i in range(0, len(data), batch_size): - batch = data[i : i + batch_size] - tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) - - -def main(): - # Paths - xml_file = os.path.join(WORKING_DIR, "graph_chunk_entity_relation.graphml") - json_file = os.path.join(WORKING_DIR, "graph_data.json") - - # Convert XML to JSON - json_data = convert_xml_to_json(xml_file, json_file) - if json_data is None: - return - - # Load nodes and edges - nodes = json_data.get("nodes", []) - edges = json_data.get("edges", []) - - # Neo4j queries - create_nodes_query = """ - UNWIND $nodes AS node - MERGE (e:Entity {id: node.id}) - SET e.entity_type = node.entity_type, - e.description = node.description, - e.source_id = node.source_id, - e.displayName = node.id - REMOVE e:Entity - WITH e, node - CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode - RETURN count(*) - """ - - create_edges_query = """ - UNWIND $edges AS edge - MATCH (source {id: edge.source}) - MATCH (target {id: edge.target}) - WITH source, target, edge, - CASE - WHEN edge.keywords CONTAINS 'lead' THEN 'lead' - WHEN edge.keywords CONTAINS 'participate' THEN 'participate' - WHEN edge.keywords CONTAINS 'uses' THEN 'uses' - WHEN edge.keywords CONTAINS 'located' THEN 'located' - WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' - ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') - END AS relType - CALL apoc.create.relationship(source, relType, { - weight: edge.weight, - description: edge.description, - keywords: edge.keywords, - source_id: edge.source_id - }, target) YIELD rel - RETURN count(*) - """ - - set_displayname_and_labels_query = """ - MATCH (n) - SET n.displayName = n.id - WITH n - CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node - RETURN count(*) - """ - - # Create a Neo4j driver - driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) - - try: - # Execute queries in batches - with driver.session() as session: - # Insert nodes in batches - session.execute_write( - process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES - ) - - # Insert edges in batches - session.execute_write( - process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES - ) - - # Set displayName and labels - session.run(set_displayname_and_labels_query) - - except Exception as e: - print(f"Error occurred: {e}") - - finally: - driver.close() - - -if __name__ == "__main__": - main() diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py deleted file mode 100644 index 39001b10..00000000 --- a/examples/lightrag_api_openai_compatible_demo.py +++ /dev/null @@ -1,174 +0,0 @@ -from fastapi import FastAPI, HTTPException, File, UploadFile -from pydantic import BaseModel -import os -from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, openai_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np -from typing import Optional -import asyncio -import nest_asyncio - -# Apply nest_asyncio to solve event loop issues -nest_asyncio.apply() - -DEFAULT_RAG_DIR = "index_default" -app = FastAPI(title="LightRAG API", description="API for RAG operations") - -# Configure working directory -WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") -print(f"WORKING_DIR: {WORKING_DIR}") -LLM_MODEL = os.environ.get("LLM_MODEL", "gpt-4o-mini") -print(f"LLM_MODEL: {LLM_MODEL}") -EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "text-embedding-3-large") -print(f"EMBEDDING_MODEL: {EMBEDDING_MODEL}") -EMBEDDING_MAX_TOKEN_SIZE = int(os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 8192)) -print(f"EMBEDDING_MAX_TOKEN_SIZE: {EMBEDDING_MAX_TOKEN_SIZE}") - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -# LLM model function - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - LLM_MODEL, - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -# Embedding function - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model=EMBEDDING_MODEL, - ) - - -async def get_embedding_dim(): - test_text = ["This is a test sentence."] - embedding = await embedding_func(test_text) - embedding_dim = embedding.shape[1] - print(f"{embedding_dim=}") - return embedding_dim - - -# Initialize RAG instance -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=asyncio.run(get_embedding_dim()), - max_token_size=EMBEDDING_MAX_TOKEN_SIZE, - func=embedding_func, - ), -) - - -# Data models - - -class QueryRequest(BaseModel): - query: str - mode: str = "hybrid" - only_need_context: bool = False - - -class InsertRequest(BaseModel): - text: str - - -class Response(BaseModel): - status: str - data: Optional[str] = None - message: Optional[str] = None - - -# API routes - - -@app.post("/query", response_model=Response) -async def query_endpoint(request: QueryRequest): - try: - loop = asyncio.get_event_loop() - result = await loop.run_in_executor( - None, - lambda: rag.query( - request.query, - param=QueryParam( - mode=request.mode, only_need_context=request.only_need_context - ), - ), - ) - return Response(status="success", data=result) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.post("/insert", response_model=Response) -async def insert_endpoint(request: InsertRequest): - try: - loop = asyncio.get_event_loop() - await loop.run_in_executor(None, lambda: rag.insert(request.text)) - return Response(status="success", message="Text inserted successfully") - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.post("/insert_file", response_model=Response) -async def insert_file(file: UploadFile = File(...)): - try: - file_content = await file.read() - # Read file content - try: - content = file_content.decode("utf-8") - except UnicodeDecodeError: - # If UTF-8 decoding fails, try other encodings - content = file_content.decode("gbk") - # Insert file content - loop = asyncio.get_event_loop() - await loop.run_in_executor(None, lambda: rag.insert(content)) - - return Response( - status="success", - message=f"File content from {file.filename} inserted successfully", - ) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.get("/health") -async def health_check(): - return {"status": "healthy"} - - -if __name__ == "__main__": - import uvicorn - - uvicorn.run(app, host="0.0.0.0", port=8020) - -# Usage example -# To run the server, use the following command in your terminal: -# python lightrag_api_openai_compatible_demo.py - -# Example requests: -# 1. Query: -# curl -X POST "http://127.0.0.1:8020/query" -H "Content-Type: application/json" -d '{"query": "your query here", "mode": "hybrid"}' - -# 2. Insert text: -# curl -X POST "http://127.0.0.1:8020/insert" -H "Content-Type: application/json" -d '{"text": "your text here"}' - -# 3. Insert file: -# curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' - -# 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py deleted file mode 100644 index 9b4e2741..00000000 --- a/examples/lightrag_api_oracle_demo..py +++ /dev/null @@ -1,240 +0,0 @@ -from fastapi import FastAPI, HTTPException, File, UploadFile -from contextlib import asynccontextmanager -from pydantic import BaseModel -from typing import Optional - -import sys -import os -from pathlib import Path - -import asyncio -import nest_asyncio -from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, openai_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np - -from lightrag.kg.oracle_impl import OracleDB - - -print(os.getcwd()) - -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) - - -# Apply nest_asyncio to solve event loop issues -nest_asyncio.apply() - -DEFAULT_RAG_DIR = "index_default" - - -# We use OpenAI compatible API to call LLM on Oracle Cloud -# More docs here https://github.com/jin38324/OCI_GenAI_access_gateway -BASE_URL = "http://xxx.xxx.xxx.xxx:8088/v1/" -APIKEY = "ocigenerativeai" - -# Configure working directory -WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") -print(f"WORKING_DIR: {WORKING_DIR}") -LLM_MODEL = os.environ.get("LLM_MODEL", "cohere.command-r-plus") -print(f"LLM_MODEL: {LLM_MODEL}") -EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "cohere.embed-multilingual-v3.0") -print(f"EMBEDDING_MODEL: {EMBEDDING_MODEL}") -EMBEDDING_MAX_TOKEN_SIZE = int(os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 512)) -print(f"EMBEDDING_MAX_TOKEN_SIZE: {EMBEDDING_MAX_TOKEN_SIZE}") - - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - LLM_MODEL, - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=APIKEY, - base_url=BASE_URL, - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model=EMBEDDING_MODEL, - api_key=APIKEY, - base_url=BASE_URL, - ) - - -async def get_embedding_dim(): - test_text = ["This is a test sentence."] - embedding = await embedding_func(test_text) - embedding_dim = embedding.shape[1] - return embedding_dim - - -async def init(): - # Detect embedding dimension - embedding_dimension = await get_embedding_dim() - print(f"Detected embedding dimension: {embedding_dimension}") - # Create Oracle DB connection - # The `config` parameter is the connection configuration of Oracle DB - # More docs here https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html - # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query - # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud - - oracle_db = OracleDB( - config={ - "user": "", - "password": "", - "dsn": "", - "config_dir": "", - "wallet_location": "", - "wallet_password": "", - "workspace": "", - } # specify which docs you want to store and query - ) - - # Check if Oracle DB tables exist, if not, tables will be created - await oracle_db.check_tables() - # Initialize LightRAG - # We use Oracle DB as the KV/vector/graph storage - rag = LightRAG( - enable_llm_cache=False, - working_dir=WORKING_DIR, - chunk_token_size=512, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=512, - func=embedding_func, - ), - graph_storage="OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage", - ) - - # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool - rag.graph_storage_cls.db = oracle_db - rag.key_string_value_json_storage_cls.db = oracle_db - rag.vector_db_storage_cls.db = oracle_db - - return rag - - -# Data models - - -class QueryRequest(BaseModel): - query: str - mode: str = "hybrid" - only_need_context: bool = False - - -class InsertRequest(BaseModel): - text: str - - -class Response(BaseModel): - status: str - data: Optional[str] = None - message: Optional[str] = None - - -# API routes - -rag = None - - -@asynccontextmanager -async def lifespan(app: FastAPI): - global rag - rag = await init() - print("done!") - yield - - -app = FastAPI( - title="LightRAG API", description="API for RAG operations", lifespan=lifespan -) - - -@app.post("/query", response_model=Response) -async def query_endpoint(request: QueryRequest): - try: - # loop = asyncio.get_event_loop() - result = await rag.aquery( - request.query, - param=QueryParam( - mode=request.mode, only_need_context=request.only_need_context - ), - ) - return Response(status="success", data=result) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.post("/insert", response_model=Response) -async def insert_endpoint(request: InsertRequest): - try: - loop = asyncio.get_event_loop() - await loop.run_in_executor(None, lambda: rag.insert(request.text)) - return Response(status="success", message="Text inserted successfully") - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.post("/insert_file", response_model=Response) -async def insert_file(file: UploadFile = File(...)): - try: - file_content = await file.read() - # Read file content - try: - content = file_content.decode("utf-8") - except UnicodeDecodeError: - # If UTF-8 decoding fails, try other encodings - content = file_content.decode("gbk") - # Insert file content - loop = asyncio.get_event_loop() - await loop.run_in_executor(None, lambda: rag.insert(content)) - - return Response( - status="success", - message=f"File content from {file.filename} inserted successfully", - ) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - -@app.get("/health") -async def health_check(): - return {"status": "healthy"} - - -if __name__ == "__main__": - import uvicorn - - uvicorn.run(app, host="0.0.0.0", port=8020) - -# Usage example -# To run the server, use the following command in your terminal: -# python lightrag_api_openai_compatible_demo.py - -# Example requests: -# 1. Query: -# curl -X POST "http://127.0.0.1:8020/query" -H "Content-Type: application/json" -d '{"query": "your query here", "mode": "hybrid"}' - -# 2. Insert text: -# curl -X POST "http://127.0.0.1:8020/insert" -H "Content-Type: application/json" -d '{"text": "your text here"}' - -# 3. Insert file: -# curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' - -# 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py deleted file mode 100644 index e29a6a9d..00000000 --- a/examples/lightrag_azure_openai_demo.py +++ /dev/null @@ -1,125 +0,0 @@ -import os -import asyncio -from lightrag import LightRAG, QueryParam -from lightrag.utils import EmbeddingFunc -import numpy as np -from dotenv import load_dotenv -import aiohttp -import logging - -logging.basicConfig(level=logging.INFO) - -load_dotenv() - -AZURE_OPENAI_API_VERSION = os.getenv("AZURE_OPENAI_API_VERSION") -AZURE_OPENAI_DEPLOYMENT = os.getenv("AZURE_OPENAI_DEPLOYMENT") -AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY") -AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_ENDPOINT") - -AZURE_EMBEDDING_DEPLOYMENT = os.getenv("AZURE_EMBEDDING_DEPLOYMENT") -AZURE_EMBEDDING_API_VERSION = os.getenv("AZURE_EMBEDDING_API_VERSION") - -WORKING_DIR = "./dickens" - -if os.path.exists(WORKING_DIR): - import shutil - - shutil.rmtree(WORKING_DIR) - -os.mkdir(WORKING_DIR) - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - headers = { - "Content-Type": "application/json", - "api-key": AZURE_OPENAI_API_KEY, - } - endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_OPENAI_DEPLOYMENT}/chat/completions?api-version={AZURE_OPENAI_API_VERSION}" - - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - if history_messages: - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - - payload = { - "messages": messages, - "temperature": kwargs.get("temperature", 0), - "top_p": kwargs.get("top_p", 1), - "n": kwargs.get("n", 1), - } - - async with aiohttp.ClientSession() as session: - async with session.post(endpoint, headers=headers, json=payload) as response: - if response.status != 200: - raise ValueError( - f"Request failed with status {response.status}: {await response.text()}" - ) - result = await response.json() - return result["choices"][0]["message"]["content"] - - -async def embedding_func(texts: list[str]) -> np.ndarray: - headers = { - "Content-Type": "application/json", - "api-key": AZURE_OPENAI_API_KEY, - } - endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_EMBEDDING_DEPLOYMENT}/embeddings?api-version={AZURE_EMBEDDING_API_VERSION}" - - payload = {"input": texts} - - async with aiohttp.ClientSession() as session: - async with session.post(endpoint, headers=headers, json=payload) as response: - if response.status != 200: - raise ValueError( - f"Request failed with status {response.status}: {await response.text()}" - ) - result = await response.json() - embeddings = [item["embedding"] for item in result["data"]] - return np.array(embeddings) - - -async def test_funcs(): - result = await llm_model_func("How are you?") - print("Resposta do llm_model_func: ", result) - - result = await embedding_func(["How are you?"]) - print("Resultado do embedding_func: ", result.shape) - print("Dimensão da embedding: ", result.shape[1]) - - -asyncio.run(test_funcs()) - -embedding_dimension = 3072 - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=8192, - func=embedding_func, - ), -) - -book1 = open("./book_1.txt", encoding="utf-8") -book2 = open("./book_2.txt", encoding="utf-8") - -rag.insert([book1.read(), book2.read()]) - -query_text = "What are the main themes?" - -print("Result (Naive):") -print(rag.query(query_text, param=QueryParam(mode="naive"))) - -print("\nResult (Local):") -print(rag.query(query_text, param=QueryParam(mode="local"))) - -print("\nResult (Global):") -print(rag.query(query_text, param=QueryParam(mode="global"))) - -print("\nResult (Hybrid):") -print(rag.query(query_text, param=QueryParam(mode="hybrid"))) diff --git a/examples/lightrag_bedrock_demo.py b/examples/lightrag_bedrock_demo.py deleted file mode 100644 index 7e18ea57..00000000 --- a/examples/lightrag_bedrock_demo.py +++ /dev/null @@ -1,36 +0,0 @@ -""" -LightRAG meets Amazon Bedrock ⛰️ -""" - -import os -import logging - -from lightrag import LightRAG, QueryParam -from lightrag.llm import bedrock_complete, bedrock_embedding -from lightrag.utils import EmbeddingFunc - -logging.getLogger("aiobotocore").setLevel(logging.WARNING) - -WORKING_DIR = "./dickens" -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=bedrock_complete, - llm_model_name="Anthropic Claude 3 Haiku // Amazon Bedrock", - embedding_func=EmbeddingFunc( - embedding_dim=1024, max_token_size=8192, func=bedrock_embedding - ), -) - -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -for mode in ["naive", "local", "global", "hybrid"]: - print("\n+-" + "-" * len(mode) + "-+") - print(f"| {mode.capitalize()} |") - print("+-" + "-" * len(mode) + "-+\n") - print( - rag.query("What are the top themes in this story?", param=QueryParam(mode=mode)) - ) diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py deleted file mode 100644 index 91033e50..00000000 --- a/examples/lightrag_hf_demo.py +++ /dev/null @@ -1,54 +0,0 @@ -import os - -from lightrag import LightRAG, QueryParam -from lightrag.llm import hf_model_complete, hf_embedding -from lightrag.utils import EmbeddingFunc -from transformers import AutoModel, AutoTokenizer - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=hf_model_complete, - llm_model_name="meta-llama/Llama-3.1-8B-Instruct", - embedding_func=EmbeddingFunc( - embedding_dim=384, - max_token_size=5000, - func=lambda texts: hf_embedding( - texts, - tokenizer=AutoTokenizer.from_pretrained( - "sentence-transformers/all-MiniLM-L6-v2" - ), - embed_model=AutoModel.from_pretrained( - "sentence-transformers/all-MiniLM-L6-v2" - ), - ), - ), -) - - -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/examples/lightrag_lmdeploy_demo.py b/examples/lightrag_lmdeploy_demo.py deleted file mode 100644 index aeb96f71..00000000 --- a/examples/lightrag_lmdeploy_demo.py +++ /dev/null @@ -1,75 +0,0 @@ -import os - -from lightrag import LightRAG, QueryParam -from lightrag.llm import lmdeploy_model_if_cache, hf_embedding -from lightrag.utils import EmbeddingFunc -from transformers import AutoModel, AutoTokenizer - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -async def lmdeploy_model_complete( - prompt=None, system_prompt=None, history_messages=[], **kwargs -) -> str: - model_name = kwargs["hashing_kv"].global_config["llm_model_name"] - return await lmdeploy_model_if_cache( - model_name, - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - ## please specify chat_template if your local path does not follow original HF file name, - ## or model_name is a pytorch model on huggingface.co, - ## you can refer to https://github.com/InternLM/lmdeploy/blob/main/lmdeploy/model.py - ## for a list of chat_template available in lmdeploy. - chat_template="llama3", - # model_format ='awq', # if you are using awq quantization model. - # quant_policy=8, # if you want to use online kv cache, 4=kv int4, 8=kv int8. - **kwargs, - ) - - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=lmdeploy_model_complete, - llm_model_name="meta-llama/Llama-3.1-8B-Instruct", # please use definite path for local model - embedding_func=EmbeddingFunc( - embedding_dim=384, - max_token_size=5000, - func=lambda texts: hf_embedding( - texts, - tokenizer=AutoTokenizer.from_pretrained( - "sentence-transformers/all-MiniLM-L6-v2" - ), - embed_model=AutoModel.from_pretrained( - "sentence-transformers/all-MiniLM-L6-v2" - ), - ), - ), -) - - -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py deleted file mode 100644 index 1a320d13..00000000 --- a/examples/lightrag_ollama_demo.py +++ /dev/null @@ -1,51 +0,0 @@ -import os -import logging -from lightrag import LightRAG, QueryParam -from lightrag.llm import ollama_model_complete, ollama_embedding -from lightrag.utils import EmbeddingFunc - -WORKING_DIR = "./dickens" - -logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO) - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, - llm_model_name="gemma2:2b", - llm_model_max_async=4, - llm_model_max_token_size=32768, - llm_model_kwargs={"host": "http://localhost:11434", "options": {"num_ctx": 32768}}, - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, embed_model="nomic-embed-text", host="http://localhost:11434" - ), - ), -) - -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py deleted file mode 100644 index 1422e2c2..00000000 --- a/examples/lightrag_openai_compatible_demo.py +++ /dev/null @@ -1,108 +0,0 @@ -import os -import asyncio -from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, openai_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "solar-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model="solar-embedding-1-large-query", - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - ) - - -async def get_embedding_dim(): - test_text = ["This is a test sentence."] - embedding = await embedding_func(test_text) - embedding_dim = embedding.shape[1] - return embedding_dim - - -# function test -async def test_funcs(): - result = await llm_model_func("How are you?") - print("llm_model_func: ", result) - - result = await embedding_func(["How are you?"]) - print("embedding_func: ", result) - - -# asyncio.run(test_funcs()) - - -async def main(): - try: - embedding_dimension = await get_embedding_dim() - print(f"Detected embedding dimension: {embedding_dimension}") - - rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=8192, - func=embedding_func, - ), - ) - - with open("./book.txt", "r", encoding="utf-8") as f: - await rag.ainsert(f.read()) - - # Perform naive search - print( - await rag.aquery( - "What are the top themes in this story?", param=QueryParam(mode="naive") - ) - ) - - # Perform local search - print( - await rag.aquery( - "What are the top themes in this story?", param=QueryParam(mode="local") - ) - ) - - # Perform global search - print( - await rag.aquery( - "What are the top themes in this story?", - param=QueryParam(mode="global"), - ) - ) - - # Perform hybrid search - print( - await rag.aquery( - "What are the top themes in this story?", - param=QueryParam(mode="hybrid"), - ) - ) - except Exception as e: - print(f"An error occurred: {e}") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py deleted file mode 100644 index 29bc75ca..00000000 --- a/examples/lightrag_openai_demo.py +++ /dev/null @@ -1,39 +0,0 @@ -import os - -from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, - # llm_model_func=gpt_4o_complete -) - - -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py deleted file mode 100644 index 365b6225..00000000 --- a/examples/lightrag_oracle_demo.py +++ /dev/null @@ -1,128 +0,0 @@ -import sys -import os -from pathlib import Path -import asyncio -from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, openai_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np -from lightrag.kg.oracle_impl import OracleDB - -print(os.getcwd()) -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) - -WORKING_DIR = "./dickens" - -# We use OpenAI compatible API to call LLM on Oracle Cloud -# More docs here https://github.com/jin38324/OCI_GenAI_access_gateway -BASE_URL = "http://xxx.xxx.xxx.xxx:8088/v1/" -APIKEY = "ocigenerativeai" -CHATMODEL = "cohere.command-r-plus" -EMBEDMODEL = "cohere.embed-multilingual-v3.0" - - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - CHATMODEL, - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=APIKEY, - base_url=BASE_URL, - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model=EMBEDMODEL, - api_key=APIKEY, - base_url=BASE_URL, - ) - - -async def get_embedding_dim(): - test_text = ["This is a test sentence."] - embedding = await embedding_func(test_text) - embedding_dim = embedding.shape[1] - return embedding_dim - - -async def main(): - try: - # Detect embedding dimension - embedding_dimension = await get_embedding_dim() - print(f"Detected embedding dimension: {embedding_dimension}") - - # Create Oracle DB connection - # The `config` parameter is the connection configuration of Oracle DB - # More docs here https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html - # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query - # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud - oracle_db = OracleDB( - config={ - "user": "username", - "password": "xxxxxxxxx", - "dsn": "xxxxxxx_medium", - "config_dir": "dir/path/to/oracle/config", - "wallet_location": "dir/path/to/oracle/wallet", - "wallet_password": "xxxxxxxxx", - "workspace": "company", # specify which docs you want to store and query - } - ) - - # Check if Oracle DB tables exist, if not, tables will be created - await oracle_db.check_tables() - - # Initialize LightRAG - # We use Oracle DB as the KV/vector/graph storage - rag = LightRAG( - enable_llm_cache=False, - working_dir=WORKING_DIR, - chunk_token_size=512, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=512, - func=embedding_func, - ), - graph_storage="OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage", - ) - - # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool - rag.graph_storage_cls.db = oracle_db - rag.key_string_value_json_storage_cls.db = oracle_db - rag.vector_db_storage_cls.db = oracle_db - - # Extract and Insert into LightRAG storage - with open("./dickens/demo.txt", "r", encoding="utf-8") as f: - await rag.ainsert(f.read()) - - # Perform search in different modes - modes = ["naive", "local", "global", "hybrid"] - for mode in modes: - print("=" * 20, mode, "=" * 20) - print( - await rag.aquery( - "What are the top themes in this story?", - param=QueryParam(mode=mode), - ) - ) - print("-" * 100, "\n") - - except Exception as e: - print(f"An error occurred: {e}") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py deleted file mode 100644 index a73f16c5..00000000 --- a/examples/lightrag_siliconcloud_demo.py +++ /dev/null @@ -1,79 +0,0 @@ -import os -import asyncio -from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, siliconcloud_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - - -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "Qwen/Qwen2.5-7B-Instruct", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("SILICONFLOW_API_KEY"), - base_url="https://api.siliconflow.cn/v1/", - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await siliconcloud_embedding( - texts, - model="netease-youdao/bce-embedding-base_v1", - api_key=os.getenv("SILICONFLOW_API_KEY"), - max_token_size=512, - ) - - -# function test -async def test_funcs(): - result = await llm_model_func("How are you?") - print("llm_model_func: ", result) - - result = await embedding_func(["How are you?"]) - print("embedding_func: ", result) - - -asyncio.run(test_funcs()) - - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=768, max_token_size=512, func=embedding_func - ), -) - - -with open("./book.txt") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/examples/vram_management_demo.py b/examples/vram_management_demo.py deleted file mode 100644 index c173b913..00000000 --- a/examples/vram_management_demo.py +++ /dev/null @@ -1,104 +0,0 @@ -import os -import time -from lightrag import LightRAG, QueryParam -from lightrag.llm import ollama_model_complete, ollama_embedding -from lightrag.utils import EmbeddingFunc - -# Working directory and the directory path for text files -WORKING_DIR = "./dickens" -TEXT_FILES_DIR = "/llm/mt" - -# Create the working directory if it doesn't exist -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -# Initialize LightRAG -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, - llm_model_name="qwen2.5:3b-instruct-max-context", - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding(texts, embed_model="nomic-embed-text"), - ), -) - -# Read all .txt files from the TEXT_FILES_DIR directory -texts = [] -for filename in os.listdir(TEXT_FILES_DIR): - if filename.endswith(".txt"): - file_path = os.path.join(TEXT_FILES_DIR, filename) - with open(file_path, "r", encoding="utf-8") as file: - texts.append(file.read()) - - -# Batch insert texts into LightRAG with a retry mechanism -def insert_texts_with_retry(rag, texts, retries=3, delay=5): - for _ in range(retries): - try: - rag.insert(texts) - return - except Exception as e: - print( - f"Error occurred during insertion: {e}. Retrying in {delay} seconds..." - ) - time.sleep(delay) - raise RuntimeError("Failed to insert texts after multiple retries.") - - -insert_texts_with_retry(rag, texts) - -# Perform different types of queries and handle potential errors -try: - print( - rag.query( - "What are the top themes in this story?", param=QueryParam(mode="naive") - ) - ) -except Exception as e: - print(f"Error performing naive search: {e}") - -try: - print( - rag.query( - "What are the top themes in this story?", param=QueryParam(mode="local") - ) - ) -except Exception as e: - print(f"Error performing local search: {e}") - -try: - print( - rag.query( - "What are the top themes in this story?", param=QueryParam(mode="global") - ) - ) -except Exception as e: - print(f"Error performing global search: {e}") - -try: - print( - rag.query( - "What are the top themes in this story?", param=QueryParam(mode="hybrid") - ) - ) -except Exception as e: - print(f"Error performing hybrid search: {e}") - - -# Function to clear VRAM resources -def clear_vram(): - os.system("sudo nvidia-smi --gpu-reset") - - -# Regularly clear VRAM to prevent overflow -clear_vram_interval = 3600 # Clear once every hour -start_time = time.time() - -while True: - current_time = time.time() - if current_time - start_time > clear_vram_interval: - clear_vram() - start_time = current_time - time.sleep(60) # Check the time every minute diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 50e33405..c4965efa 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -6,8 +6,8 @@ from typing import Type, cast from .llm import ( - gpt_4o_mini_complete, - openai_embedding, + hf_embedding, + hf_model_complete ) from .operate import ( chunking_by_token_size, @@ -99,17 +99,17 @@ class LightRAG: ) # embedding_func: EmbeddingFunc = field(default_factory=lambda:hf_embedding) - embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) + embedding_func: EmbeddingFunc = field(default_factory=lambda: hf_embedding) embedding_batch_num: int = 32 embedding_func_max_async: int = 16 # LLM - llm_model_func: callable = gpt_4o_mini_complete # hf_model_complete# + llm_model_func: callable = hf_model_complete # hf_model_complete# llm_model_name: str = "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 llm_model_kwargs: dict = field(default_factory=dict) - + # storage vector_db_storage_cls_kwargs: dict = field(default_factory=dict) @@ -154,7 +154,7 @@ def __post_init__(self): if self.enable_llm_cache else None ) - + self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( self.embedding_func ) diff --git a/lightrag/llm.py b/lightrag/llm.py index f4045e80..e139bc53 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,219 +1,21 @@ import os import copy from functools import lru_cache -import json -import aioboto3 -import aiohttp import numpy as np -import ollama - -from openai import ( - AsyncOpenAI, - APIConnectionError, - RateLimitError, - Timeout, - AsyncAzureOpenAI, -) - -import base64 -import struct - -from tenacity import ( - retry, - stop_after_attempt, - wait_exponential, - retry_if_exception_type, -) from transformers import AutoTokenizer, AutoModelForCausalLM import torch from pydantic import BaseModel, Field from typing import List, Dict, Callable, Any from .base import BaseKVStorage from .utils import compute_args_hash, wrap_embedding_func_with_attrs - -os.environ["TOKENIZERS_PARALLELISM"] = "false" - - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def openai_complete_if_cache( - model, - prompt, - system_prompt=None, - history_messages=[], - base_url=None, - api_key=None, - **kwargs, -) -> str: - if api_key: - os.environ["OPENAI_API_KEY"] = api_key - - openai_async_client = ( - AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) - ) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] - - response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - - if hashing_kv is not None: - await hashing_kv.upsert( - {args_hash: {"return": response.choices[0].message.content, "model": model}} - ) - return response.choices[0].message.content - - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def azure_openai_complete_if_cache( - model, - prompt, - system_prompt=None, - history_messages=[], - base_url=None, - api_key=None, - **kwargs, -): - if api_key: - os.environ["AZURE_OPENAI_API_KEY"] = api_key - if base_url: - os.environ["AZURE_OPENAI_ENDPOINT"] = base_url - - openai_async_client = AsyncAzureOpenAI( - azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), - api_key=os.getenv("AZURE_OPENAI_API_KEY"), - api_version=os.getenv("AZURE_OPENAI_API_VERSION"), - ) - - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - messages.extend(history_messages) - if prompt is not None: - messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] - - response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - - if hashing_kv is not None: - await hashing_kv.upsert( - {args_hash: {"return": response.choices[0].message.content, "model": model}} - ) - return response.choices[0].message.content - - -class BedrockError(Exception): - """Generic error for issues related to Amazon Bedrock""" - - -@retry( - stop=stop_after_attempt(5), - wait=wait_exponential(multiplier=1, max=60), - retry=retry_if_exception_type((BedrockError)), +from tenacity import ( + retry, + stop_after_attempt, + wait_exponential, + retry_if_exception_type, ) -async def bedrock_complete_if_cache( - model, - prompt, - system_prompt=None, - history_messages=[], - aws_access_key_id=None, - aws_secret_access_key=None, - aws_session_token=None, - **kwargs, -) -> str: - os.environ["AWS_ACCESS_KEY_ID"] = os.environ.get( - "AWS_ACCESS_KEY_ID", aws_access_key_id - ) - os.environ["AWS_SECRET_ACCESS_KEY"] = os.environ.get( - "AWS_SECRET_ACCESS_KEY", aws_secret_access_key - ) - os.environ["AWS_SESSION_TOKEN"] = os.environ.get( - "AWS_SESSION_TOKEN", aws_session_token - ) - - # Fix message history format - messages = [] - for history_message in history_messages: - message = copy.copy(history_message) - message["content"] = [{"text": message["content"]}] - messages.append(message) - - # Add user prompt - messages.append({"role": "user", "content": [{"text": prompt}]}) - - # Initialize Converse API arguments - args = {"modelId": model, "messages": messages} - - # Define system prompt - if system_prompt: - args["system"] = [{"text": system_prompt}] - - # Map and set up inference parameters - inference_params_map = { - "max_tokens": "maxTokens", - "top_p": "topP", - "stop_sequences": "stopSequences", - } - if inference_params := list( - set(kwargs) & set(["max_tokens", "temperature", "top_p", "stop_sequences"]) - ): - args["inferenceConfig"] = {} - for param in inference_params: - args["inferenceConfig"][inference_params_map.get(param, param)] = ( - kwargs.pop(param) - ) - - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] - - # Call model via Converse API - session = aioboto3.Session() - async with session.client("bedrock-runtime") as bedrock_async_client: - try: - response = await bedrock_async_client.converse(**args, **kwargs) - except Exception as e: - raise BedrockError(e) - - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": response["output"]["message"]["content"][0]["text"], - "model": model, - } - } - ) - - return response["output"]["message"]["content"][0]["text"] +os.environ["TOKENIZERS_PARALLELISM"] = "false" @lru_cache(maxsize=1) def initialize_hf_model(model_name): @@ -293,39 +95,6 @@ async def hf_model_if_cache( await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) return response_text - -async def ollama_model_if_cache( - model, prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - kwargs.pop("max_tokens", None) - kwargs.pop("response_format", None) - host = kwargs.pop("host", None) - timeout = kwargs.pop("timeout", None) - - ollama_client = ollama.AsyncClient(host=host, timeout=timeout) - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] - - response = await ollama_client.chat(model=model, messages=messages, **kwargs) - - result = response["message"]["content"] - - if hashing_kv is not None: - await hashing_kv.upsert({args_hash: {"return": result, "model": model}}) - - return result - - @lru_cache(maxsize=1) def initialize_lmdeploy_pipeline( model, @@ -455,53 +224,6 @@ async def lmdeploy_model_if_cache( return response -async def gpt_4o_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "gpt-4o", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -async def gpt_4o_mini_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "gpt-4o-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -async def azure_openai_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await azure_openai_complete_if_cache( - "conversation-4o-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -async def bedrock_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await bedrock_complete_if_cache( - "anthropic.claude-3-haiku-20240307-v1:0", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs @@ -516,180 +238,6 @@ async def hf_model_complete( ) -async def ollama_model_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - model_name = kwargs["hashing_kv"].global_config["llm_model_name"] - return await ollama_model_if_cache( - model_name, - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=60), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def openai_embedding( - texts: list[str], - model: str = "text-embedding-3-small", - base_url: str = None, - api_key: str = None, -) -> np.ndarray: - if api_key: - os.environ["OPENAI_API_KEY"] = api_key - - openai_async_client = ( - AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) - ) - response = await openai_async_client.embeddings.create( - model=model, input=texts, encoding_format="float" - ) - return np.array([dp.embedding for dp in response.data]) - - -@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def azure_openai_embedding( - texts: list[str], - model: str = "text-embedding-3-small", - base_url: str = None, - api_key: str = None, -) -> np.ndarray: - if api_key: - os.environ["AZURE_OPENAI_API_KEY"] = api_key - if base_url: - os.environ["AZURE_OPENAI_ENDPOINT"] = base_url - - openai_async_client = AsyncAzureOpenAI( - azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), - api_key=os.getenv("AZURE_OPENAI_API_KEY"), - api_version=os.getenv("AZURE_OPENAI_API_VERSION"), - ) - - response = await openai_async_client.embeddings.create( - model=model, input=texts, encoding_format="float" - ) - return np.array([dp.embedding for dp in response.data]) - - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=60), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def siliconcloud_embedding( - texts: list[str], - model: str = "netease-youdao/bce-embedding-base_v1", - base_url: str = "https://api.siliconflow.cn/v1/embeddings", - max_token_size: int = 512, - api_key: str = None, -) -> np.ndarray: - if api_key and not api_key.startswith("Bearer "): - api_key = "Bearer " + api_key - - headers = {"Authorization": api_key, "Content-Type": "application/json"} - - truncate_texts = [text[0:max_token_size] for text in texts] - - payload = {"model": model, "input": truncate_texts, "encoding_format": "base64"} - - base64_strings = [] - async with aiohttp.ClientSession() as session: - async with session.post(base_url, headers=headers, json=payload) as response: - content = await response.json() - if "code" in content: - raise ValueError(content) - base64_strings = [item["embedding"] for item in content["data"]] - - embeddings = [] - for string in base64_strings: - decode_bytes = base64.b64decode(string) - n = len(decode_bytes) // 4 - float_array = struct.unpack("<" + "f" * n, decode_bytes) - embeddings.append(float_array) - return np.array(embeddings) - - -# @wrap_embedding_func_with_attrs(embedding_dim=1024, max_token_size=8192) -# @retry( -# stop=stop_after_attempt(3), -# wait=wait_exponential(multiplier=1, min=4, max=10), -# retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), # TODO: fix exceptions -# ) -async def bedrock_embedding( - texts: list[str], - model: str = "amazon.titan-embed-text-v2:0", - aws_access_key_id=None, - aws_secret_access_key=None, - aws_session_token=None, -) -> np.ndarray: - os.environ["AWS_ACCESS_KEY_ID"] = os.environ.get( - "AWS_ACCESS_KEY_ID", aws_access_key_id - ) - os.environ["AWS_SECRET_ACCESS_KEY"] = os.environ.get( - "AWS_SECRET_ACCESS_KEY", aws_secret_access_key - ) - os.environ["AWS_SESSION_TOKEN"] = os.environ.get( - "AWS_SESSION_TOKEN", aws_session_token - ) - - session = aioboto3.Session() - async with session.client("bedrock-runtime") as bedrock_async_client: - if (model_provider := model.split(".")[0]) == "amazon": - embed_texts = [] - for text in texts: - if "v2" in model: - body = json.dumps( - { - "inputText": text, - # 'dimensions': embedding_dim, - "embeddingTypes": ["float"], - } - ) - elif "v1" in model: - body = json.dumps({"inputText": text}) - else: - raise ValueError(f"Model {model} is not supported!") - - response = await bedrock_async_client.invoke_model( - modelId=model, - body=body, - accept="application/json", - contentType="application/json", - ) - - response_body = await response.get("body").json() - - embed_texts.append(response_body["embedding"]) - elif model_provider == "cohere": - body = json.dumps( - {"texts": texts, "input_type": "search_document", "truncate": "NONE"} - ) - - response = await bedrock_async_client.invoke_model( - model=model, - body=body, - accept="application/json", - contentType="application/json", - ) - - response_body = json.loads(response.get("body").read()) - - embed_texts = response_body["embeddings"] - else: - raise ValueError(f"Model provider '{model_provider}' is not supported!") - - return np.array(embed_texts) async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: @@ -702,14 +250,6 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: return embeddings.detach().numpy() -async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray: - embed_text = [] - ollama_client = ollama.Client(**kwargs) - for text in texts: - data = ollama_client.embeddings(model=embed_model, prompt=text) - embed_text.append(data["embedding"]) - - return embed_text class Model(BaseModel): @@ -791,11 +331,4 @@ async def llm_model_func( return await next_model.gen_func(**args) -if __name__ == "__main__": - import asyncio - - async def main(): - result = await gpt_4o_mini_complete("How are you?") - print(result) - asyncio.run(main()) diff --git a/lightrag_hku.egg-info/PKG-INFO b/lightrag_hku.egg-info/PKG-INFO new file mode 100644 index 00000000..38879ed0 --- /dev/null +++ b/lightrag_hku.egg-info/PKG-INFO @@ -0,0 +1,987 @@ +Metadata-Version: 2.1 +Name: lightrag-hku +Version: 1.0.0 +Summary: LightRAG: Simple and Fast Retrieval-Augmented Generation +Home-page: https://github.com/HKUDS/LightRAG +Author: ZiruiGuo +Project-URL: Documentation, https://github.com/HKUDS/LightRAG +Project-URL: Source, https://github.com/HKUDS/LightRAG +Project-URL: Tracker, https://github.com/HKUDS/LightRAG/issues +Classifier: Development Status :: 4 - Beta +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: OS Independent +Classifier: Intended Audience :: Developers +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Requires-Python: >=3.9 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: accelerate +Requires-Dist: aioboto3 +Requires-Dist: aiohttp +Requires-Dist: graspologic +Requires-Dist: hnswlib +Requires-Dist: nano-vectordb +Requires-Dist: neo4j +Requires-Dist: networkx +Requires-Dist: ollama +Requires-Dist: openai +Requires-Dist: oracledb +Requires-Dist: pyvis +Requires-Dist: tenacity +Requires-Dist: tiktoken +Requires-Dist: torch +Requires-Dist: transformers +Requires-Dist: xxhash + +

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

+ + +![LightRAG Image](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) + +
+

+ + + + +

+

+ + + + +

+ +This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). +![LightRAG Diagram](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +
+ +## 🎉 News +- [x] [2024.11.12]🎯📢You can [use Oracle Database 23ai for all storage types (kv/vector/graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. +- [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). +- [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. +- [x] [2024.11.04]🎯📢You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage). +- [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. +- [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. +- [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! +- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.16]🎯📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! + +## Algorithm Flowchart + +![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) + + +## Install + +* Install from source (Recommend) + +```bash +cd LightRAG +pip install -e . +``` +* Install from PyPI +```bash +pip install lightrag-hku +``` + +## Quick Start +* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running LightRAG locally. +* All the code can be found in the `examples`. +* Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` +* Download the demo text "A Christmas Carol by Charles Dickens": +```bash +curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt +``` +Use the below Python snippet (in a script) to initialize LightRAG and perform queries: + +```python +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete + +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./dickens" + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +``` + +
+ Using Open AI-like APIs + +* LightRAG also supports Open AI-like chat/embeddings APIs: +```python +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) +) +``` +
+ +
+ Using Hugging Face Models + +* If you want to use Hugging Face models, you only need to set LightRAG as follows: +```python +from lightrag.llm import hf_model_complete, hf_embedding +from transformers import AutoModel, AutoTokenizer +from lightrag.utils import EmbeddingFunc + +# Initialize LightRAG with Hugging Face model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=hf_model_complete, # Use Hugging Face model for text generation + llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face + # Use Hugging Face embedding function + embedding_func=EmbeddingFunc( + embedding_dim=384, + max_token_size=5000, + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + ) + ), +) +``` +
+ +
+ Using Ollama Models + +### Overview +If you want to use Ollama models, you need to pull model you plan to use and embedding model, for example `nomic-embed-text`. + +Then you only need to set LightRAG as follows: + +```python +from lightrag.llm import ollama_model_complete, ollama_embedding +from lightrag.utils import EmbeddingFunc + +# Initialize LightRAG with Ollama model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` + +### Using Neo4J for Storage + +* For production level scenarios you will most likely want to leverage an enterprise solution +* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. +* See: https://hub.docker.com/_/neo4j + + +```python +export NEO4J_URI="neo4j://localhost:7687" +export NEO4J_USERNAME="neo4j" +export NEO4J_PASSWORD="password" + +When you launch the project be sure to override the default KG: NetworkS +by specifying kg="Neo4JStorage". + +# Note: Default settings use NetworkX +#Initialize LightRAG with Neo4J implementation. +WORKING_DIR = "./local_neo4jWorkDir" + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + kg="Neo4JStorage", #<-----------override KG default + log_level="DEBUG" #<-----------override log_level default +) +``` +see test_neo4j.py for a working example. + +### Increasing context size +In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: + +#### Increasing the `num_ctx` parameter in Modelfile. + +1. Pull the model: +```bash +ollama pull qwen2 +``` + +2. Display the model file: +```bash +ollama show --modelfile qwen2 > Modelfile +``` + +3. Edit the Modelfile by adding the following line: +```bash +PARAMETER num_ctx 32768 +``` + +4. Create the modified model: +```bash +ollama create -f Modelfile qwen2m +``` + +#### Setup `num_ctx` via Ollama API. +Tiy can use `llm_model_kwargs` param to configure ollama: + +```python +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + llm_model_kwargs={"options": {"num_ctx": 32768}}, + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` +#### Fully functional example + +There fully functional example `examples/lightrag_ollama_demo.py` that utilizes `gemma2:2b` model, runs only 4 requests in parallel and set context size to 32k. + +#### Low RAM GPUs + +In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. + +
+ +### Query Param + +```python +class QueryParam: + mode: Literal["local", "global", "hybrid", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. + top_k: int = 60 + # Number of tokens for the original chunks. + max_token_for_text_unit: int = 4000 + # Number of tokens for the relationship descriptions + max_token_for_global_context: int = 4000 + # Number of tokens for the entity descriptions + max_token_for_local_context: int = 4000 +``` + +### Batch Insert + +```python +# Batch Insert: Insert multiple texts at once +rag.insert(["TEXT1", "TEXT2",...]) +``` + +### Incremental Insert + +```python +# Incremental Insert: Insert new documents into an existing LightRAG instance +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +with open("./newText.txt") as f: + rag.insert(f.read()) +``` + +### Delete Entity + +```python +# Delete Entity: Deleting entities by their names +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +rag.delete_by_entity("Project Gutenberg") +``` + +### Multi-file Type Support + +The `textract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. + +```python +import textract + +file_path = 'TEXT.pdf' +text_content = textract.process(file_path) + +rag.insert(text_content.decode('utf-8')) +``` + +### Graph Visualization + +
+ Graph visualization with html + +* The following code can be found in `examples/graph_visual_with_html.py` + +```python +import networkx as nx +from pyvis.network import Network + +# Load the GraphML file +G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') + +# Create a Pyvis network +net = Network(notebook=True) + +# Convert NetworkX graph to Pyvis network +net.from_nx(G) + +# Save and display the network +net.show('knowledge_graph.html') +``` + +
+ +
+ Graph visualization with Neo4j + +* The following code can be found in `examples/graph_visual_with_neo4j.py` + +```python +import os +import json +from lightrag.utils import xml_to_json +from neo4j import GraphDatabase + +# Constants +WORKING_DIR = "./dickens" +BATCH_SIZE_NODES = 500 +BATCH_SIZE_EDGES = 100 + +# Neo4j connection credentials +NEO4J_URI = "bolt://localhost:7687" +NEO4J_USERNAME = "neo4j" +NEO4J_PASSWORD = "your_password" + +def convert_xml_to_json(xml_path, output_path): + """Converts XML file to JSON and saves the output.""" + if not os.path.exists(xml_path): + print(f"Error: File not found - {xml_path}") + return None + + json_data = xml_to_json(xml_path) + if json_data: + with open(output_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"JSON file created: {output_path}") + return json_data + else: + print("Failed to create JSON data") + return None + +def process_in_batches(tx, query, data, batch_size): + """Process data in batches and execute the given query.""" + for i in range(0, len(data), batch_size): + batch = data[i:i + batch_size] + tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) + +def main(): + # Paths + xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') + json_file = os.path.join(WORKING_DIR, 'graph_data.json') + + # Convert XML to JSON + json_data = convert_xml_to_json(xml_file, json_file) + if json_data is None: + return + + # Load nodes and edges + nodes = json_data.get('nodes', []) + edges = json_data.get('edges', []) + + # Neo4j queries + create_nodes_query = """ + UNWIND $nodes AS node + MERGE (e:Entity {id: node.id}) + SET e.entity_type = node.entity_type, + e.description = node.description, + e.source_id = node.source_id, + e.displayName = node.id + REMOVE e:Entity + WITH e, node + CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode + RETURN count(*) + """ + + create_edges_query = """ + UNWIND $edges AS edge + MATCH (source {id: edge.source}) + MATCH (target {id: edge.target}) + WITH source, target, edge, + CASE + WHEN edge.keywords CONTAINS 'lead' THEN 'lead' + WHEN edge.keywords CONTAINS 'participate' THEN 'participate' + WHEN edge.keywords CONTAINS 'uses' THEN 'uses' + WHEN edge.keywords CONTAINS 'located' THEN 'located' + WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' + ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') + END AS relType + CALL apoc.create.relationship(source, relType, { + weight: edge.weight, + description: edge.description, + keywords: edge.keywords, + source_id: edge.source_id + }, target) YIELD rel + RETURN count(*) + """ + + set_displayname_and_labels_query = """ + MATCH (n) + SET n.displayName = n.id + WITH n + CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node + RETURN count(*) + """ + + # Create a Neo4j driver + driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) + + try: + # Execute queries in batches + with driver.session() as session: + # Insert nodes in batches + session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) + + # Insert edges in batches + session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) + + # Set displayName and labels + session.run(set_displayname_and_labels_query) + + except Exception as e: + print(f"Error occurred: {e}") + + finally: + driver.close() + +if __name__ == "__main__": + main() +``` + +
+ +## API Server Implementation + +LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. + +### Setting up the API Server +
+Click to expand setup instructions + +1. First, ensure you have the required dependencies: +```bash +pip install fastapi uvicorn pydantic +``` + +2. Set up your environment variables: +```bash +export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" +export OPENAI_BASE_URL="Your OpenAI API base URL" # Optional: Defaults to "https://api.openai.com/v1" +export OPENAI_API_KEY="Your OpenAI API key" # Required +export LLM_MODEL="Your LLM model" # Optional: Defaults to "gpt-4o-mini" +export EMBEDDING_MODEL="Your embedding model" # Optional: Defaults to "text-embedding-3-large" +``` + +3. Run the API server: +```bash +python examples/lightrag_api_openai_compatible_demo.py +``` + +The server will start on `http://0.0.0.0:8020`. +
+ +### API Endpoints + +The API server provides the following endpoints: + +#### 1. Query Endpoint +
+Click to view Query endpoint details + +- **URL:** `/query` +- **Method:** POST +- **Body:** +```json +{ + "query": "Your question here", + "mode": "hybrid", // Can be "naive", "local", "global", or "hybrid" + "only_need_context": true // Optional: Defaults to false, if true, only the referenced context will be returned, otherwise the llm answer will be returned +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/query" \ + -H "Content-Type: application/json" \ + -d '{"query": "What are the main themes?", "mode": "hybrid"}' +``` +
+ +#### 2. Insert Text Endpoint +
+Click to view Insert Text endpoint details + +- **URL:** `/insert` +- **Method:** POST +- **Body:** +```json +{ + "text": "Your text content here" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert" \ + -H "Content-Type: application/json" \ + -d '{"text": "Content to be inserted into RAG"}' +``` +
+ +#### 3. Insert File Endpoint +
+Click to view Insert File endpoint details + +- **URL:** `/insert_file` +- **Method:** POST +- **Body:** +```json +{ + "file_path": "path/to/your/file.txt" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert_file" \ + -H "Content-Type: application/json" \ + -d '{"file_path": "./book.txt"}' +``` +
+ +#### 4. Health Check Endpoint +
+Click to view Health Check endpoint details + +- **URL:** `/health` +- **Method:** GET +- **Example:** +```bash +curl -X GET "http://127.0.0.1:8020/health" +``` +
+ +### Configuration + +The API server can be configured using environment variables: +- `RAG_DIR`: Directory for storing the RAG index (default: "index_default") +- API keys and base URLs should be configured in the code for your specific LLM and embedding model providers + +### Error Handling +
+Click to view error handling details + +The API includes comprehensive error handling: +- File not found errors (404) +- Processing errors (500) +- Supports multiple file encodings (UTF-8 and GBK) +
+ +## Evaluation +### Dataset +The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). + +### Generate Query +LightRAG uses the following prompt to generate high-level queries, with the corresponding code in `example/generate_query.py`. + +
+ Prompt + +```python +Given the following description of a dataset: + +{description} + +Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. + +Output the results in the following structure: +- User 1: [user description] + - Task 1: [task description] + - Question 1: + - Question 2: + - Question 3: + - Question 4: + - Question 5: + - Task 2: [task description] + ... + - Task 5: [task description] +- User 2: [user description] + ... +- User 5: [user description] + ... +``` +
+ + ### Batch Eval +To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. + +
+ Prompt + +```python +---Role--- +You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. +---Goal--- +You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. + +- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? +- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? +- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? + +For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. + +Here is the question: +{query} + +Here are the two answers: + +**Answer 1:** +{answer1} + +**Answer 2:** +{answer2} + +Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. + +Output your evaluation in the following JSON format: + +{{ + "Comprehensiveness": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Empowerment": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Overall Winner": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" + }} +}} +``` +
+ +### Overall Performance Table +| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | +|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| +| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | +| **Comprehensiveness** | 32.4% | **67.6%** | 38.4% | **61.6%** | 16.4% | **83.6%** | 38.8% | **61.2%** | +| **Diversity** | 23.6% | **76.4%** | 38.0% | **62.0%** | 13.6% | **86.4%** | 32.4% | **67.6%** | +| **Empowerment** | 32.4% | **67.6%** | 38.8% | **61.2%** | 16.4% | **83.6%** | 42.8% | **57.2%** | +| **Overall** | 32.4% | **67.6%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 40.0% | **60.0%** | +| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | +| **Comprehensiveness** | 31.6% | **68.4%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 39.2% | **60.8%** | +| **Diversity** | 29.2% | **70.8%** | 39.2% | **60.8%** | 11.6% | **88.4%** | 30.8% | **69.2%** | +| **Empowerment** | 31.6% | **68.4%** | 36.4% | **63.6%** | 15.2% | **84.8%** | 42.4% | **57.6%** | +| **Overall** | 32.4% | **67.6%** | 38.0% | **62.0%** | 14.4% | **85.6%** | 40.0% | **60.0%** | +| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | +| **Comprehensiveness** | 26.0% | **74.0%** | 41.6% | **58.4%** | 26.8% | **73.2%** | 40.4% | **59.6%** | +| **Diversity** | 24.0% | **76.0%** | 38.8% | **61.2%** | 20.0% | **80.0%** | 32.4% | **67.6%** | +| **Empowerment** | 25.2% | **74.8%** | 40.8% | **59.2%** | 26.0% | **74.0%** | 46.0% | **54.0%** | +| **Overall** | 24.8% | **75.2%** | 41.6% | **58.4%** | 26.4% | **73.6%** | 42.4% | **57.6%** | +| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | +| **Comprehensiveness** | 45.6% | **54.4%** | 48.4% | **51.6%** | 48.4% | **51.6%** | **50.4%** | 49.6% | +| **Diversity** | 22.8% | **77.2%** | 40.8% | **59.2%** | 26.4% | **73.6%** | 36.0% | **64.0%** | +| **Empowerment** | 41.2% | **58.8%** | 45.2% | **54.8%** | 43.6% | **56.4%** | **50.8%** | 49.2% | +| **Overall** | 45.2% | **54.8%** | 48.0% | **52.0%** | 47.2% | **52.8%** | **50.4%** | 49.6% | + +## Reproduce +All the code can be found in the `./reproduce` directory. + +### Step-0 Extract Unique Contexts +First, we need to extract unique contexts in the datasets. + +
+ Code + +```python +def extract_unique_contexts(input_directory, output_directory): + + os.makedirs(output_directory, exist_ok=True) + + jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) + print(f"Found {len(jsonl_files)} JSONL files.") + + for file_path in jsonl_files: + filename = os.path.basename(file_path) + name, ext = os.path.splitext(filename) + output_filename = f"{name}_unique_contexts.json" + output_path = os.path.join(output_directory, output_filename) + + unique_contexts_dict = {} + + print(f"Processing file: {filename}") + + try: + with open(file_path, 'r', encoding='utf-8') as infile: + for line_number, line in enumerate(infile, start=1): + line = line.strip() + if not line: + continue + try: + json_obj = json.loads(line) + context = json_obj.get('context') + if context and context not in unique_contexts_dict: + unique_contexts_dict[context] = None + except json.JSONDecodeError as e: + print(f"JSON decoding error in file {filename} at line {line_number}: {e}") + except FileNotFoundError: + print(f"File not found: {filename}") + continue + except Exception as e: + print(f"An error occurred while processing file {filename}: {e}") + continue + + unique_contexts_list = list(unique_contexts_dict.keys()) + print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") + + try: + with open(output_path, 'w', encoding='utf-8') as outfile: + json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) + print(f"Unique `context` entries have been saved to: {output_filename}") + except Exception as e: + print(f"An error occurred while saving to the file {output_filename}: {e}") + + print("All files have been processed.") + +``` +
+ +### Step-1 Insert Contexts +For the extracted contexts, we insert them into the LightRAG system. + +
+ Code + +```python +def insert_text(rag, file_path): + with open(file_path, mode='r') as f: + unique_contexts = json.load(f) + + retries = 0 + max_retries = 3 + while retries < max_retries: + try: + rag.insert(unique_contexts) + break + except Exception as e: + retries += 1 + print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") + time.sleep(10) + if retries == max_retries: + print("Insertion failed after exceeding the maximum number of retries") +``` +
+ +### Step-2 Generate Queries + +We extract tokens from the first and the second half of each context in the dataset, then combine them as dataset descriptions to generate queries. + +
+ Code + +```python +tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +def get_summary(context, tot_tokens=2000): + tokens = tokenizer.tokenize(context) + half_tokens = tot_tokens // 2 + + start_tokens = tokens[1000:1000 + half_tokens] + end_tokens = tokens[-(1000 + half_tokens):1000] + + summary_tokens = start_tokens + end_tokens + summary = tokenizer.convert_tokens_to_string(summary_tokens) + + return summary +``` +
+ +### Step-3 Query +For the queries generated in Step-2, we will extract them and query LightRAG. + +
+ Code + +```python +def extract_queries(file_path): + with open(file_path, 'r') as f: + data = f.read() + + data = data.replace('**', '') + + queries = re.findall(r'- Question \d+: (.+)', data) + + return queries +``` +
+ +## Code Structure + +```python +. +├── examples +│ ├── batch_eval.py +│ ├── generate_query.py +│ ├── graph_visual_with_html.py +│ ├── graph_visual_with_neo4j.py +│ ├── lightrag_api_openai_compatible_demo.py +│ ├── lightrag_azure_openai_demo.py +│ ├── lightrag_bedrock_demo.py +│ ├── lightrag_hf_demo.py +│ ├── lightrag_lmdeploy_demo.py +│ ├── lightrag_ollama_demo.py +│ ├── lightrag_openai_compatible_demo.py +│ ├── lightrag_openai_demo.py +│ ├── lightrag_siliconcloud_demo.py +│ └── vram_management_demo.py +├── lightrag +│ ├── kg +│ │ ├── __init__.py +│ │ └── neo4j_impl.py +│ ├── __init__.py +│ ├── base.py +│ ├── lightrag.py +│ ├── llm.py +│ ├── operate.py +│ ├── prompt.py +│ ├── storage.py +│ └── utils.py +├── reproduce +│ ├── Step_0.py +│ ├── Step_1_openai_compatible.py +│ ├── Step_1.py +│ ├── Step_2.py +│ ├── Step_3_openai_compatible.py +│ └── Step_3.py +├── .gitignore +├── .pre-commit-config.yaml +├── Dockerfile +├── get_all_edges_nx.py +├── LICENSE +├── README.md +├── requirements.txt +├── setup.py +├── test_neo4j.py +└── test.py +``` + +## Star History + + + + + + Star History Chart + + + +## Contribution + +Thank you to all our contributors! + + + + + +## 🌟Citation + +```python +@article{guo2024lightrag, +title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, +year={2024}, +eprint={2410.05779}, +archivePrefix={arXiv}, +primaryClass={cs.IR} +} +``` +**Thank you for your interest in our work!** diff --git a/lightrag_hku.egg-info/SOURCES.txt b/lightrag_hku.egg-info/SOURCES.txt new file mode 100644 index 00000000..2d7e13a5 --- /dev/null +++ b/lightrag_hku.egg-info/SOURCES.txt @@ -0,0 +1,19 @@ +LICENSE +README.md +setup.py +lightrag/__init__.py +lightrag/base.py +lightrag/lightrag.py +lightrag/llm.py +lightrag/operate.py +lightrag/prompt.py +lightrag/storage.py +lightrag/utils.py +lightrag/kg/__init__.py +lightrag/kg/neo4j_impl.py +lightrag/kg/oracle_impl.py +lightrag_hku.egg-info/PKG-INFO +lightrag_hku.egg-info/SOURCES.txt +lightrag_hku.egg-info/dependency_links.txt +lightrag_hku.egg-info/requires.txt +lightrag_hku.egg-info/top_level.txt \ No newline at end of file diff --git a/lightrag_hku.egg-info/dependency_links.txt b/lightrag_hku.egg-info/dependency_links.txt new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/lightrag_hku.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/lightrag_hku.egg-info/requires.txt b/lightrag_hku.egg-info/requires.txt new file mode 100644 index 00000000..38a5e59f --- /dev/null +++ b/lightrag_hku.egg-info/requires.txt @@ -0,0 +1,17 @@ +accelerate +aioboto3 +aiohttp +graspologic +hnswlib +nano-vectordb +neo4j +networkx +ollama +openai +oracledb +pyvis +tenacity +tiktoken +torch +transformers +xxhash diff --git a/lightrag_hku.egg-info/top_level.txt b/lightrag_hku.egg-info/top_level.txt new file mode 100644 index 00000000..ecb4947f --- /dev/null +++ b/lightrag_hku.egg-info/top_level.txt @@ -0,0 +1 @@ +lightrag diff --git a/local_neo4jWorkDir/graph_chunk_entity_relation.graphml b/local_neo4jWorkDir/graph_chunk_entity_relation.graphml new file mode 100644 index 00000000..96c1663f --- /dev/null +++ b/local_neo4jWorkDir/graph_chunk_entity_relation.graphml @@ -0,0 +1,7915 @@ + + + + + + + + + + "ORGANIZATION" + "Project Management Institute is a professional organization that provides standards for project management."<SEP>"Project Management Institute is a professional organization that publishes project management standards and guides."<SEP>"Project Management Institute is a professional organization that publishes the PMBOK Guide."<SEP>"Project Management Institute is an organization that provides resources and guidance for project management professionals."<SEP>"Project Management Institute is an organization that provides resources and guides for project management practices."<SEP>"Project Management Institute is an organization that publishes a standard for project 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+ + + "TECHNOLOGY" + "PMBOK Guide is a guide to project management knowledge and best practices."<SEP>"The PMBOK Guide is a technology that provides a framework for project management." + chunk-bde83da7016beb9786927f8848e159ed<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Project Management is a discipline that creates something new, making it an agent of change."<SEP>"Project Management is a discipline that deals with planning, organizing, and controlling resources to achieve specific goals."<SEP>"Project Management is a discipline that involves planning, organizing, and controlling resources to achieve specific goals."<SEP>"Project Management is a profession that has evolved to adapt to changing industry, organization, and project needs."<SEP>"Project Management is the application of knowledge, skills, and principles to a project to achieve the project objectives and obtain benefits and control not available by managing project components individually."<SEP>"Project 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+ + + "CONCEPT" + The PROJECT is a temporary endeavor undertaken to create a unique product, service, or result. It is a unique set of coordinated activities aimed at achieving a specific objective, with a defined scope, goals, and deliverables. A project is a multifaceted entity that exists in dynamic circumstances, exhibiting the characteristics of a system, and involves multiple organizations, departments, functions, or vendors that do not interact on a regular basis. It is associated with varying degrees of uncertainty and risk, and requires tailoring the approach to fit the project context and environment. + +A project has a specific purpose and outcome, and is undertaken to meet business objectives. It involves establishing the processes and performing the work to enable the project team to deliver the expected deliverables and outcomes. The project is a temporary endeavor with a defined start and end date, aimed at achieving specific goals and objectives, and involves quality management. + +The project team works towards achieving a specific goal, scope, and timeline, and is a series of tasks and activities aimed at achieving specific objectives. It is an endeavor or undertaking with a specific goal or objective, and is associated with a defined budget. The overall effort of the project is to achieve specific goals and objectives, and it refers to a collection of tasks and activities. + +In summary, the PROJECT is a temporary endeavor with a specific goal, scope, and deliverables, undertaken to meet business objectives, and is a unique set of coordinated activities aimed at achieving a specific objective. + 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+ + + "TECHNOLOGY" + "The Standard for Project Management is a document published by PMI that outlines project management principles and practices."<SEP>"The Standard for Project Management is a document published by PMI, providing guidance on project management principles and practices."<SEP>"The Standard for Project Management is a document that outlines the framework for project management."<SEP>"The Standard for Project Management is a document that outlines the principles of project management."<SEP>"The Standard for Project Management is a document that outlines the principles, processes, and practices for project management."<SEP>"The Standard for Project Management is a document that provides information about the role of the PMO and project management capabilities."<SEP>"The Standard for Project Management is a guiding principle for project management, outlining key principles and practices."<SEP>"The Standard for Project Management is a principle-based standard developed by PMI."<SEP>"The Standard for Project Management is a publication that discusses project management principles and standards."<SEP>"The Standard for Project Management is a publication that provides a standard for project management."<SEP>"The Standard for Project Management is a technology that has been developed and updated by the Project Management Institute."<SEP>"The Standard for Project Management is a technology that provides a framework for project management."<SEP>"The Standard for Project Management provides guidance for project management principles and behavior." + 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location where communications are being received, indicating its importance in the decision-making process."<SEP>"Washington is a location where the PMI is based."<SEP>"Washington is a location where the Project Management Institute is based."<SEP>"Washington is a location where the global project management community has been involved."<SEP>"Washington is a location, but it is not clear what specific entity this refers to in this context."<SEP>"Washington is mentioned as a location where communications are being received."<SEP>"Washington is not found in the text, the correct entity name is not mentioned, instead it is a generic term that could refer to the Washington D.C. location. However, the text does not specify which Washington it is referring to." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-1825beeb96ba1ad111e267487c767fae<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-8b22d70fb5bd3854865a95c3f4a5fa5a<SEP>chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "PERSON" + "Alex is a character who experiences frustration and is observant of the dynamics among other characters."<SEP>"Alex is a person mentioned in the context of the PMBOK Guide."<SEP>"Alex is a person mentioned in the context of the PMI Seventh Edition."<SEP>"Alex is a person mentioned in the text."<SEP>"Alex is a person who is mentioned in the context of the Project Management Institute."<SEP>"Alex is a person who is not explicitly mentioned as a character, but is a common name in the text." + chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-1825beeb96ba1ad111e267487c767fae<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8<SEP>chunk-86bf58aeb66cf74473057a61493dd834 + + + "PERSON" + "Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."<SEP>"Sam Rivera is a member of a team working on communicating with an unknown intelligence."<SEP>"Sam Rivera is a person mentioned in the text."<SEP>"Sam Rivera is a person who is a member of a team working on communicating with an unknown intelligence."<SEP>"Sam Rivera is not mentioned in the text." + chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-1825beeb96ba1ad111e267487c767fae<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "ORGANIZATION" + "Team is a group of individuals working together on a project."<SEP>"Team is a group of individuals working together to achieve project objectives."<SEP>"Team refers to a group of individuals working together on a project."<SEP>"Team refers to a group of individuals working together to achieve a common goal."<SEP>"Team refers to a group of people working together on a project."<SEP>"Team refers to a group of people working together to achieve a common goal." + chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Development Approaches are various methods used in project management, including predictive, adaptive, and hybrid."<SEP>"Development Approaches include predictive, traditional, adaptive, agile, hybrid, etc."<SEP>"Development Approaches refer to the various methods and techniques used in project management." + chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Predictive refers to a development approach that involves planning and forecasting." + chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Traditional refers to a development approach that involves a structured and sequential process." + chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Adaptive refers to a development approach that involves flexibility and responsiveness to change." + chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Agile refers to a development approach that involves iterative and incremental development."<SEP>"Agile refers to a mindset of values and principles set forth in the Agile Manifesto." + chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Hybrid refers to a development approach that combines elements of different approaches." + chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Models, Methods, and Artifacts are tools and techniques used in project management."<SEP>"Models, Methods, and Artifacts refer to the tools and techniques used in project management."<SEP>"Models, Methods, and Artifacts refer to tools and techniques used in project management." + chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "Project Outcomes are the results of project management, which are critical for effectively delivering project results."<SEP>"Project Outcomes refer to the results and benefits achieved through a project."<SEP>"Project outcomes refer to the results of the project, which benefit the business." + chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1 + + + "CONCEPT" + "Deliverables are the outcomes of a project, such as products, services, or results."<SEP>"Deliverables are the products or results of a project."<SEP>"Deliverables are the products or services produced by the project."<SEP>"Deliverables are the products or services resulting from the project."<SEP>"Deliverables are the products, services, or results produced by a project."<SEP>"Deliverables are the products, services, or results to be provided as a project."<SEP>"Deliverables are the tangible or intangible products of a project."<SEP>"Deliverables refer to interim or final products, services, or results from a project."<SEP>"Deliverables refer to the tangible or intangible outcomes of a project."<SEP>"Deliverables refer to the tangible products or services produced by a project." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-f8d11681f09ed132eeaf58726b5b85f1<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-22711c24dd56ac426b9723c9653def64<SEP>chunk-e3806018cbc410a756031760e6e43275 + + + "ORGANIZATION" + The Project Management Institute (PMI) is a professional organization that plays a significant role in project management. It is responsible for developing and publishing various standards and guides, including the Project Management Body of Knowledge (PMBOK) Guide and the Standard for Project Management. The PMBOK Guide is a widely recognized reference for project management best practices, outlining various project management principles, performance domains, and models and methods used in project management. It provides guidance on project management practices, including stakeholder engagement, project performance domains, and project management principles and standards. + +PMI is also known for its role in certifying professionals in project management through various certifications. The organization provides a framework for project delivery and governance, including guidelines for tailoring project approaches. Additionally, PMI publishes project management standards and guides, including the PMBOK Guide, which is a widely used reference for project management. The organization has a significant influence on project management practices, and its publications, such as the PMBOK Guide, are widely recognized and used by project managers. + +PMI's publications, including the PMBOK Guide, provide guidance on various project management topics, such as quality, cost of quality, emotional intelligence, and project performance domains. The organization also provides a guide to project management, which includes information on complexity, risk, and adaptability. PMI's publications are a valuable resource for project managers, providing them with the knowledge and skills necessary to navigate project uncertainty and deliver projects successfully. + +In summary, the Project Management Institute (PMI) is a professional organization that plays a crucial role in project management. Its publications, including the PMBOK Guide, are widely recognized and used by project managers, and its certifications are highly valued in the industry. PMI's publications provide guidance on various project management topics, including project management principles, performance domains, and models and methods used in project management. + 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It is a publication by PMI that offers guidance on project management, including quality and cost of quality, and is a technology that provides a framework for project management. It is also a resource for navigating project uncertainty and managing risk, making it an essential tool for project managers. + +The PMBOK Guide is a guidebook for project management, containing best practices and methodologies, and is used by project teams to manage their projects. It is a publication that has been updated multiple times, incorporating new knowledge and practices in project management, and is a reference guide for project management best practices. It is also a publication that provides a guide to project management, including models, methods, and artifacts, and is a technology used in project management, outlining practices and artifacts for managing projects. + +Overall, the PMBOK Guide is a comprehensive guide for project management, providing a framework for project management, guidance on best practices, and a reference for project management best practices. + 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Standard for Project Management."<SEP>"Project Management Institute (PMI) is a professional organization that provides resources and guidance on project management, including the role of the sponsor."<SEP>"Project Management Institute (PMI) is the governing body behind the PMBOK Guide, which provides guidelines for project management."<SEP>"Project Management Institute (PMI) is the organization behind the PMBOK Guide – Seventh Edition." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-8b22d70fb5bd3854865a95c3f4a5fa5a<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "ORGANIZATION" + "The Standard for Program Management is another publication of PMI." + chunk-33129517ec75c9226be70bcc19911a39 + + + "ORGANIZATION" + "The Standard for Portfolio Management – Fourth Edition is a publication of PMI." + chunk-33129517ec75c9226be70bcc19911a39 + + + "ORGANIZATION" + "The Standard for Risk Management in Portfolios, Programs, and Projects is a publication of PMI." + chunk-33129517ec75c9226be70bcc19911a39 + + + "ORGANIZATION" + "Benefits Realization Management: A Practice Guide is a publication of PMI." + chunk-33129517ec75c9226be70bcc19911a39 + + + "CONCEPT" + "Process refers to a series of activities that are consistently followed to achieve a specific outcome."<SEP>"Process refers to a series of activities that are performed to achieve a specific goal or objective."<SEP>"Process refers to the series of activities or steps involved in delivering a project." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-dc8059d6f260b421b479101a38a30657<SEP>chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "CONCEPT" + "Performance refers to the achievement of project objectives and quality standards."<SEP>"Performance refers to the outcome of a process or a set of processes."<SEP>"Performance refers to the results and outcomes achieved by the project."<SEP>"performance evaluation is necessary to help individuals and project teams learn, adapt, and improve." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9<SEP>chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Value Delivery is a system for delivering value that is aligned with an organization's strategy, comprising various components such as portfolios, programs, projects, and operations."<SEP>"Value Delivery refers to the creation of value for stakeholders through the project."<SEP>"Value Delivery refers to the process of creating value for stakeholders through project management."<SEP>"Value Delivery refers to the process of delivering value to stakeholders."<SEP>"Value delivery is a key aspect of project management capabilities."<SEP>"Value delivery refers to the process of creating value for an organization and its stakeholders."<SEP>"value delivery is the process of delivering project outcomes that meet the needs of stakeholders." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467<SEP>chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "A principles-based standard is a standard that focuses on outcomes rather than processes." + chunk-33129517ec75c9226be70bcc19911a39 + + + "TECHNOLOGY" + "PMIstandards+ is an interactive digital platform that incorporates current, emerging, and future practices in project management." + chunk-33129517ec75c9226be70bcc19911a39 + + + "CONCEPT" + "Project Management Body of Knowledge is a framework for project management that is presented in the PMBOK Guide."<SEP>"Project Management Body of Knowledge is a guide for project management practices."<SEP>"Project Management Body of Knowledge refers to the collection of knowledge, skills, and practices used in project management."<SEP>"Project Management Body of Knowledge refers to the knowledge and practices used in project management."<SEP>"The Project Management Body of Knowledge is a collection of knowledge and best practices in project management."<SEP>"The Project Management Body of Knowledge is a guide to project management principles and practices." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a<SEP>chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "ORGANIZATION" + "The Sixth Edition of the PMBOK Guide emphasized the importance of tailoring the project management approach to the unique characteristics of each project." + chunk-33129517ec75c9226be70bcc19911a39 + + + "ORGANIZATION" + "Knowledge Areas are groups of related activities that are critical for the effective delivery of project outcomes."<SEP>"Knowledge Areas refer to the different areas of project management, such as integration, scope, schedule, and cost." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a + + + "CONCEPT" + "Performance Domains are areas of project management that need to be considered when tailoring project management processes."<SEP>"Performance Domains refer to specific areas of project management, such as delivery performance and measurement performance."<SEP>"Performance domains are groups of related activities that are critical for the effective delivery of project outcomes." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "A project management system is a collection of interrelated and interdependent management capabilities that work together to achieve desired project outcomes." + chunk-33129517ec75c9226be70bcc19911a39 + + + "CONCEPT" + "The value chain refers to the process of creating value for an organization and its stakeholders." + chunk-33129517ec75c9226be70bcc19911a39 + + + "CONCEPT" + "Business objectives are the goals and outcomes that an organization aims to achieve."<SEP>"business objectives are the goals and expectations of the project." + chunk-33129517ec75c9226be70bcc19911a39<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "ORGANIZATION" + STAKEHOLDERS are individuals or groups that have a vested interest in a project's outcome, including its deliverables and impacts. They can be affected by the project, or have the ability to affect it, and may be internal or external parties. Stakeholders play a significant role in establishing and prioritizing work, particularly in adaptive methods, and need to understand the performance of projects to make informed decisions. They include entities such as service providers, regulators, financiers, and government authorities, and may perceive themselves to be affected by a decision, activity, or outcome of a project. + 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+ + + "CONCEPT" + "Organizational strategy refers to the overall plan and direction of an organization." + chunk-33129517ec75c9226be70bcc19911a39 + + + "TECHNOLOGY" + "PMIstandards+ is a digital platform that incorporates current, emerging, and future practices, methods, artifacts, and other useful information for project management." + chunk-08fbaf6da6637ad7f96bc2aebdb3b76a + + + "PERSON" + "A Project Manager is a person who leads a project team and is responsible for project delivery."<SEP>"A Project Manager is responsible for managing a project, including creating project plans, managing resources, and ensuring the project is completed on time, within budget, and to the required quality."<SEP>"A Project Manager is the person assigned by the performing organization to lead the project team that is responsible for achieving the project objectives."<SEP>"A Project Manager is the person assigned by the performing organization to lead the team that is responsible for achieving the project objectives."<SEP>"A project manager is a person responsible for overseeing a project."<SEP>"Project Manager is a person responsible for establishing and reviewing project processes and conducting the work."<SEP>"Project Manager is a person responsible for leading the project team and making key decisions."<SEP>"Project Manager is a professional responsible for planning, organizing, and controlling project activities."<SEP>"Project Manager is a role mentioned in the context of the PMI Seventh Edition."<SEP>"Project Manager is a role responsible for working with stakeholders to maintain alignment and foster positive relationships."<SEP>"Project Manager is a role that can demonstrate effective leadership skills and influence project outcomes."<SEP>"Project Manager is a role that oversees and coordinates project activities to achieve project objectives."<SEP>"Project Manager is responsible for overseeing project activities, including procurement, and working with contracting professionals."<SEP>"Project Manager is the individual responsible for leading and directing a project."<SEP>"Project Manager is the person responsible for leading the project team."<SEP>"Project Manager is the person responsible for planning, organizing, and controlling project activities."<SEP>"Project manager is responsible for managing risks and uncertainty in projects."<SEP>"The Project Manager is a key figure in establishing and maintaining a safe, respectful, non-judgmental environment that allows the project team to communicate openly."<SEP>"The Project Manager is responsible for leading the project team and making decisions."<SEP>"The Project Manager is the person assigned by the performing organization to lead the project team, responsible for achieving project objectives."<SEP>"The Project Manager is the person assigned by the performing organization to lead the project team."<SEP>"The project manager is responsible for implementing risk responses and managing the project within the organization's risk appetite." + chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-f459e762482aee7e7573a73fe673e666<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a<SEP>chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-13edbc411f025b75a6768a4f52e9502a<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e<SEP>chunk-09171466a88a728490c48ac838785d6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Introduction is a section in the PMBOK Guide that provides an overview of the guide."<SEP>"Introduction is the beginning of the Standard for Project Management."<SEP>"The Introduction section of the PMBOK Guide provides an overview of the publication." + chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "CONCEPT" + "Project Environment refers to the external factors that affect a project, as discussed in the text."<SEP>"Project Environment refers to the internal and external factors that affect project success."<SEP>"Project Environment refers to the internal and external factors that affect the project's success."<SEP>"project environment refers to the external factors that affect the project, such as organizational policies and procedures." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-40190ed38fc930b560dfcd36d953bdf4 + + + "CONCEPT" + "Role of the Project Manager refers to the responsibilities and duties of a project manager." + chunk-08fbaf6da6637ad7f96bc2aebdb3b76a + + + "CONCEPT" + "Integration refers to the process of coordinating and managing project activities to achieve project objectives." + chunk-08fbaf6da6637ad7f96bc2aebdb3b76a + + + "CONCEPT" + "Scope refers to the boundaries and limitations of a project or product."<SEP>"Scope refers to the boundaries and limits of a project, including the work to be done and the resources required."<SEP>"Scope refers to the definition of project deliverables and boundaries."<SEP>"Scope refers to the definition of what is included in the project."<SEP>"Scope refers to the extent of the work to be done in a project, including its objectives, deliverables, and boundaries."<SEP>"Scope refers to the sum of products, services, and results to be provided as a project."<SEP>"Scope refers to the sum of the products, services, and results to be provided as a project."<SEP>"Scope refers to the work performed to deliver a product or project with specified features and functions." + chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-08fbaf6da6637ad7f96bc2aebdb3b76a<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "EVENT" + "Seventh Edition is a version of the PMBOK Guide."<SEP>"Seventh Edition is the current version of the PMBOK Guide."<SEP>"The Seventh Edition of the PMBOK Guide is a significant update to the publication." + chunk-b27e2d8e58767f91bdf969368902884b<SEP>chunk-345bd574252e2b6a3927314f8a7b7ebd<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "CONCEPT" + "The Structure of the PMBOK Guide outlines the organization of the publication." + chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "CONCEPT" + "The Relationship of the PMBOK Guide and The Standard for Project Management discusses the connection between the two documents." + chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "EVENT" + "The Changes to the PMBOK Guide section highlights the updates made to the publication." + chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "CONCEPT" + "The Relationship to PMIstandards+ discusses the connection between the PMBOK Guide and PMIstandards+ " + chunk-8fd6153c87efa1b35a7231b74a69c369 + + + "CONCEPT" + "Project Performance Domains are areas of focus for project management, including Leadership Skills, Critical Thinking, Motivation, and Interpersonal Skills."<SEP>"Project Performance Domains are areas of focus for project performance measurement, including scope, schedule, and cost."<SEP>"Project Performance Domains are areas of project management that interact with each other to achieve project objectives."<SEP>"Project Performance Domains are categories of activities and functions used to manage project performance."<SEP>"Project Performance Domains are critical for effectively delivering project outcomes."<SEP>"Project Performance Domains are eight areas that form an integrated system to enable successful project delivery."<SEP>"Project Performance Domains are groups of related activities critical for effective project delivery."<SEP>"Project Performance Domains are the areas of focus for a project team."<SEP>"Project Performance Domains are the areas of focus for a project, including Stakeholder Performance Domain and Team Performance Domain."<SEP>"Project Performance Domains are the areas of focus for a project, including working with stakeholders."<SEP>"Project Performance Domains are the areas of focus for project teams, including deliverables, approach, and life cycle."<SEP>"Project Performance Domains is a concept discussed in the PMBOK Guide, related to the development approach."<SEP>"Project Performance Domains is a concept that addresses activities and functions associated with project performance."<SEP>"Project Performance Domains is a concept that outlines the different aspects of project performance."<SEP>"Project Performance Domains is a concept that refers to the various aspects of project performance, including delivery, baseline performance, and resources."<SEP>"Project Performance Domains is a framework for organizing project management activities."<SEP>"Project Performance Domains refer to the areas of focus for a project, such as project scope, schedule, and budget."<SEP>"Project Performance Domains refer to the areas of project management that focus on achieving project objectives."<SEP>"Project Performance Domains refer to the different aspects of project management, such as Team Performance and Development Approach, as discussed in the text."<SEP>"Project Performance Domains refer to the different aspects of project management, such as development, delivery, and team performance."<SEP>"Project Performance Domains refers to a section in the PMBOK Guide that discusses measuring project performance."<SEP>"Project Performance Domains refers to the areas of project management that focus on project delivery and performance."<SEP>"Project performance domains are concepts that describe different aspects of project management."<SEP>"The Project Performance Domains section outlines the different areas of project performance." + 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+ + + "CONCEPT" + "Stakeholder Performance Domain is a concept that refers to the process of understanding and analyzing stakeholders."<SEP>"Stakeholder Performance Domain is an organization that deals with stakeholder performance."<SEP>"Stakeholder Performance Domain refers to the performance of stakeholders."<SEP>"The Stakeholder Performance Domain addresses the engagement and communication with stakeholders."<SEP>"The Stakeholder Performance Domain focuses on the interactions between stakeholders and the project." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-8fd6153c87efa1b35a7231b74a69c369<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-69d45216cadc0c2225d65e1293522ca4 + + + "CONCEPT" + "Team Performance Domain is a project management domain that involves team performance and stakeholder interactions."<SEP>"Team Performance Domain is an organization that deals with team performance."<SEP>"Team Performance Domain refers to the performance of team members."<SEP>"Team Performance Domain refers to the project team's capabilities and leadership skills."<SEP>"The Team Performance Domain addresses the activities and functions associated with the project team."<SEP>"The Team Performance Domain focuses on the performance of the project team."<SEP>"The Team Performance Domain refers to the performance of the project team in achieving project objectives." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-b27e2d8e58767f91bdf969368902884b<SEP>chunk-8fd6153c87efa1b35a7231b74a69c369<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-1fe78929e30869d4ce7365694133fb9b + + + "ORGANIZATION" + "Project Management Body is an entity that is guided by the PMI standard." + chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "Standard for Project Management is a document published by PMI that provides a context for value delivery and governance."<SEP>"Standard for Project Management is a guide published by PMI to ensure effective project management practices."<SEP>"Standard for Project Management is the document developed by PMI that outlines project management principles."<SEP>"The Standard for Project Management is a document published by PMI that outlines principles and guidelines for project management." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "EVENT" + "PMI Seventh Edition is a publication of the Project Management Institute, providing information on project management practices."<SEP>"PMI Seventh Edition is a reference for project management best practices."<SEP>"PMI Seventh Edition is a version of the PMBOK Guide that addresses project uncertainty."<SEP>"PMI Seventh Edition is a version of the PMBOK Guide, indicating an update or revision."<SEP>"PMI Seventh Edition is a version of the standard for project management."<SEP>"PMI Seventh Edition is the edition of the PMBOK Guide being referenced."<SEP>"PMI Seventh Edition is the latest edition of the PMBOK Guide."<SEP>"PMI Seventh Edition refers to a specific version of the standard for project management." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-dc8059d6f260b421b479101a38a30657<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "EVENT" + "July 2021 is a specific date mentioned in the text."<SEP>"July 2021 is the date associated with the PMI Seventh Edition."<SEP>"July 2021 is the date of the publication of the standard for project management."<SEP>"July 2021 is the date when the PMI Seventh Edition was published."<SEP>"July 2021 is the publication date of the PMBOK Guide." + chunk-b27e2d8e58767f91bdf969368902884b<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-dc8059d6f260b421b479101a38a30657 + + + "CONCEPT" + "Edition refers to a specific version of a publication, in this case, the PMI Seventh Edition." + chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "Domain refers to a broad area of knowledge or interest."<SEP>"Domain refers to a specific area or category, such as performance domains in project management." + chunk-a7ca9a9f6e2f50b821296aa0990e0144<SEP>chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "Delivery Performance Domain is a category of activities and functions related to delivering project outcomes."<SEP>"Delivery Performance Domain is a project management domain that involves delivering and comparing planned and actual results."<SEP>"Delivery Performance Domain is one of the performance domains in project management."<SEP>"Delivery Performance Domain refers to the performance of delivery."<SEP>"Delivery Performance Domain refers to the process of delivering value in alignment with the business case and benefits realization plans." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-b27e2d8e58767f91bdf969368902884b<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Measurement Performance Domain is a category of activities and functions related to measuring and evaluating project performance."<SEP>"Measurement Performance Domain is a project management domain that deals with measuring and displaying data to learn and improve."<SEP>"Measurement Performance Domain is one of the performance domains in project management."<SEP>"Measurement Performance Domain refers to the process of establishing and using metrics to evaluate project performance." + chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Uncertainty Performance Domain is a framework for managing uncertainty in projects."<SEP>"Uncertainty Performance Domain is a process of managing uncertainty."<SEP>"Uncertainty Performance Domain is an organization that deals with uncertainty."<SEP>"Uncertainty Performance Domain is one of the performance domains in project management."<SEP>"Uncertainty Performance Domain refers to the aspects of uncertainty in project management, including risk and ambiguity."<SEP>"Uncertainty Performance Domain refers to the management of risks and opportunities in project environments."<SEP>"Uncertainty Performance Domain refers to the management of uncertainty in project management."<SEP>"Uncertainty Performance Domain refers to the management of uncertainty in projects." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-8600675e79622a16e8b3a8f5e75972bf<SEP>chunk-c4f387784faaf5cb2f8232016e703fda<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c + + + "CONCEPT" + "Tailoring is a concept that involves adapting project management practices to specific project needs."<SEP>"Tailoring is the adaptation of project management approach, governance, and processes to suit the project environment and work at hand."<SEP>"Tailoring is the process of adapting project management processes to suit the needs of a specific project or organization."<SEP>"Tailoring refers to the process of adapting a project management methodology to suit the needs of an organization or project."<SEP>"Tailoring refers to the process of adapting project management approaches to suit the specific needs of a project."<SEP>"Tailoring refers to the process of adapting project management practices to fit the specific needs of a project."<SEP>"Tailoring refers to the process of adapting project management practices to meet specific project needs."<SEP>"Tailoring refers to the process of adjusting project factors to suit the organization, operating environment, and project needs."<SEP>"tailoring refers to the process of adjusting the project approach to suit the project environment and culture." + chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-40190ed38fc930b560dfcd36d953bdf4<SEP>chunk-5efb02b1632a5eec4174cfd09d5fc535<SEP>chunk-45faeb8b21a647d45c26f91db747c532<SEP>chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-3de41f370f20e19d789d5d250526c78a<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "Overview refers to a general introduction or summary of a topic, such as an overview of models, methods, and artifacts." + chunk-45faeb8b21a647d45c26f91db747c532 + + + "CONCEPT" + "Commonly Used Models refer to widely applied models in project management." + chunk-45faeb8b21a647d45c26f91db747c532 + + + "ORGANIZATION" + "Situational Leadership Models is a subset of leadership models that describe ways to tailor one’s leadership style to meet the needs of the individual and the project team."<SEP>"Situational Leadership Models refer to models that describe how leaders should adapt their leadership style to different situations." + chunk-b35b0201c9783a967d199079a33694e3<SEP>chunk-45faeb8b21a647d45c26f91db747c532 + + + "DOCUMENT" + "Appendix X1 lists the contributors and reviewers of the Project Management Body of Knowledge." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "DOCUMENT" + "Appendix X2 discusses the role of the sponsor in project management." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "DOCUMENT" + "Appendix X3 describes the Project Management Office and its value proposition." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "DOCUMENT" + "Appendix X4 discusses global market shifts and their impact on project delivery practices."<SEP>"Appendix X4 is a part of The Standard for Project Management that discusses the benefits of taking an integrated view of project and product management."<SEP>"Appendix X4 is a part of the PMI Seventh Edition, discussing product development and product management." + chunk-5b470bffecabfc0b8d557efa60e80fb8<SEP>chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "DOCUMENT" + "Appendix X5 describes the research and development process for the Project Management Body of Knowledge."<SEP>"Appendix X5 is a part of The Standard for Project Management that discusses the research and development of The Standard for Project Management." + chunk-5b470bffecabfc0b8d557efa60e80fb8<SEP>chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "ORGANIZATION" + "Contributors and Reviewers are individuals who contributed to the Project Management Body of Knowledge." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "ORGANIZATION" + "PMI Staff are the employees of PMI who work on the Project Management Body of Knowledge." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "ROLE" + "A Sponsor is an individual or organization that provides support and resources for a project."<SEP>"Sponsor is a person or group who provides resources and support for the project, program, or portfolio and is accountable for enabling success."<SEP>"Sponsor is a role mentioned in the context of the PMI Seventh Edition." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "ORGANIZATION" + "A Project Management Office is a unit that supports programs and projects within a portfolio, providing guidance and oversight."<SEP>"Project Management Office is another term for the PMO, which supports project management capabilities and value delivery."<SEP>"The Project Management Office is a department that supports and oversees project management activities." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0<SEP>chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "CONCEPT" + "The Global Market refers to the worldwide market trends and shifts that impact project delivery practices." + chunk-cf0dabf0b7f26615ee081e34d3b6c293 + + + "TECHNOLOGY" + "Table 2-1 is a table discussing types of communication."<SEP>"Table 2-1 is a table that shows examples of communication methods." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Table 2-2 is a reference table that identifies outcomes and ways of checking them for the Stakeholder Performance Domain."<SEP>"Table 2-2 is a table discussing stakeholder performance domain." + chunk-2bfefa299c515a079032bda84841b201<SEP>chunk-44560986014a57dff0ad84aa387bfc50 + + + "TECHNOLOGY" + "Table 2-3 is a table discussing team performance domain."<SEP>"Table 2-3 is a table in the PMBOK Guide that identifies outcomes from effective application of the Team Performance Domain." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-4 is a figure discussing the Team Performance Domain." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-5 is a figure discussing Components of Emotional Intelligence." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-6 is a figure discussing Development Approach and Life Cycle." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-7 is a figure discussing Development Approaches." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-8 is a figure discussing Iterative and Incremental Development." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-9 is a figure discussing Sample Predictive Life Cycle." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-10 is a figure discussing Life Cycle with an Incremental Development Approach." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-11 is a figure discussing Life Cycle with Adaptive Development Approach." + chunk-2bfefa299c515a079032bda84841b201 + + + "TECHNOLOGY" + "Figure 2-12 is a figure discussing Community Center Life Cycle."<SEP>"Figure 2-12 is an illustration that shows a possible life cycle for the community center project." + chunk-2bfefa299c515a079032bda84841b201<SEP>chunk-b27e2d8e58767f91bdf969368902884b + + + "TECHNOLOGY" + "Figure 2-13 is a figure discussing Planning Performance Domain." + chunk-2bfefa299c515a079032bda84841b201 + + + "ORGANIZATION" + The Project Team is a group of individuals working together to achieve a shared objective, consisting of diverse stakeholders and requiring effective stakeholder engagement. They are responsible for delivering project outcomes, executing project activities, including procurement and scope management, and identifying, managing, and responding to risks. This group of individuals, with their own performance and metrics, work together to achieve a common goal, providing knowledge, skills, and experience to produce project outcomes. They are involved in various development approaches, including predictive, hybrid, and adaptive, and are responsible for producing project deliverables that realize business outcomes. The Project Team is a set of individuals performing the work of the project to achieve its objectives, working together on a project, with specific roles and responsibilities, to deliver a project, with diverse viewpoints and cultural perspectives, and to tailor the project approach and deliverables. + 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+ + + "CONCEPT" + "Value is something of worth, importance, or usefulness, created by benefits and outcomes."<SEP>"Value is the worth, importance, or usefulness of something."<SEP>"Value refers to the benefits and outcomes of a project or product."<SEP>"Value refers to the perceived worth or benefit derived from a project or its outcomes."<SEP>"Value refers to the ultimate indicator of project success, which can be realized throughout the project, at the end of the project, or after the project is complete."<SEP>"Value refers to the worth, importance, or usefulness of something, which can be perceived differently by various stakeholders."<SEP>"Value refers to the worth, importance, or usefulness of something."<SEP>"value refers to the benefits or outcomes that a project delivers to stakeholders." + 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chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-d925527be3a672df92169e8f22e8adf3<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-29d5919417e1b3e84bdf25acd6b81886<SEP>chunk-b35b0201c9783a967d199079a33694e3<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "A Portfolio is a collection of projects and programs that are managed together to achieve strategic objectives."<SEP>"A Portfolio is a collection of projects, programs, subsidiary portfolios, and operations managed as a group to achieve strategic objectives."<SEP>"Portfolio is a collection of projects and programs that are managed together to achieve strategic objectives."<SEP>"Portfolio is a collection of projects that are managed together to achieve strategic objectives."<SEP>"Portfolio refers to a collection of projects, programs, and other work that are grouped together to achieve strategic objectives." + chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "A Program is a group of related projects managed together to achieve strategic objectives."<SEP>"A Program is a set of related projects, subsidiary programs, and program activities that are managed in a coordinated manner to obtain benefits not available from managing them individually."<SEP>"Program is a group of related projects managed in a coordinated way to achieve strategic objectives."<SEP>"Program is a group of related projects managed together to achieve a common objective."<SEP>"Program is a group of related projects that work together to achieve a common goal."<SEP>"Program refers to a group of related projects managed in a coordinated way to achieve strategic objectives." + chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "DOCUMENT" + "Glossary is a collection of terms and definitions related to project management."<SEP>"Glossary is a document that defines terms and concepts used in a particular field."<SEP>"The Glossary is a collection of definitions of terms and acronyms related to project management."<SEP>"The Glossary is a collection of terms and definitions related to project management."<SEP>"The Glossary is a collection of terms used in the Standard for Project Management, including the PMI Lexicon of Project Management Terms." + chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a<SEP>chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "TECHNOLOGY" + "Table 4-2 is a mapping of methods likely to be used in each performance domain." + chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Table 4-3 is a mapping of artifacts likely to be used in each performance domain." + chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Table X4-1 is a comparison of project and product management views, highlighting differences in focus and metrics."<SEP>"Table X4-1 is a view of project and product management." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Table X4-2 is a reference table that compares the characteristics of projects, programs, and products."<SEP>"Table X4-2 is a unique characteristic of projects, programs, and products." + chunk-557cadd77425c32d7bd9600fb9dedf19<SEP>chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Section 1 – Introduction is the first section of the Standard for Project Management." + chunk-ea51244bb104729050a518362f1e54d1 + + + "CONCEPT" + "Section 2 – A System for Value Delivery is a part of the PMI Seventh Edition that discusses a system for delivering value."<SEP>"Section 2 – A System for Value Delivery is a part of the Standard for Project Management that describes how projects operate within a system to produce value for organizations and their stakeholders."<SEP>"Section 2 – A System for Value Delivery is a section of the Standard for Project Management." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "TECHNOLOGY" + "Section 2.1 Creating Value describes how projects operate within a system to produce value for organizations and their stakeholders." + chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Section 2.2 Organizational Governance Systems describes how governance systems create value." + chunk-ea51244bb104729050a518362f1e54d1 + + + "TECHNOLOGY" + "Section 3 Project Management Principles is a section of the Standard for Project Management." + chunk-ea51244bb104729050a518362f1e54d1 + + + "CONCEPT" + "Project Management Principles are the fundamental guidelines that guide project management practices."<SEP>"Project Management Principles guide the approach, governance, and processes used in project management."<SEP>"Project Management Principles guide the behaviors and actions of project professionals and other stakeholders who work on or are engaged with projects."<SEP>"Project Management Principles is a guide for project teams to establish their own team cultures and tailor their structure to best accomplish project objectives."<SEP>"Project Management Principles refer to the guidelines and standards that govern project management practices."<SEP>"Project Management Principles refer to the guidelines for effective project management."<SEP>"Project Management Principles refer to the guiding principles for project management developed by PMI." + chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a<SEP>chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "PERSON" + "Project Professionals are individuals who work on or are engaged with projects."<SEP>"Project Professionals are individuals who work on projects and apply project management knowledge and skills." + chunk-ea51244bb104729050a518362f1e54d1<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "System for Value Delivery is a system for delivering value that is aligned with an organization's strategy, comprising various components such as portfolios, programs, projects, and operations."<SEP>"System for Value Delivery is a system that creates deliverables used to produce outcomes, which create benefits and ultimately value." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "CONCEPT" + "Benefit is a gain realized by an organization, which is created by outcomes and contributes to value." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ROLE" + "Senior Leadership shares strategic information with portfolios and receives evaluations on portfolio performance." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "CONCEPT" + "Portfolios are components of a value delivery system that share desired outcomes, benefits, and value with programs and projects." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "CONCEPT" + "Programs are components of a value delivery system that receive desired outcomes, benefits, and value from portfolios and deliverables from programs and projects." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "CONCEPT" + "Projects are components of a value delivery system that receive desired outcomes, benefits, and value from portfolios and programs and deliver deliverables to operations."<SEP>"Projects are temporary endeavors that are part of the product management context." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "CONCEPT" + "Operations are components of a value delivery system that receive deliverables from programs and projects and provide information on how well the organization's strategy is advancing." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ORGANIZATION" + "Governmental Agency is an example of an organization that uses the System for Value Delivery." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ORGANIZATION" + "Enterprise is an example of an organization that uses the System for Value Delivery." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ORGANIZATION" + "Contractual Arrangement is an example of an organization that uses the System for Value Delivery." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ORGANIZATION" + "Joint Venture is an example of an organization that uses the System for Value Delivery." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "ORGANIZATION" + "An Organization refers to a group of individuals working together to achieve a common goal."<SEP>"Organization refers to a company or entity that employs project teams and has quality policies and procedures."<SEP>"Organization refers to a group of individuals working together to achieve common goals."<SEP>"Organization refers to any entity that uses the System for Value Delivery, including governmental agencies, enterprises, contractual arrangements, and joint ventures."<SEP>"organization refers to the entity that sponsors a project and may have a project methodology, general management approach, or general development approach." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-40190ed38fc930b560dfcd36d953bdf4<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "ORGANIZATION" + "Customers are a key factor in the changing needs of organizations."<SEP>"Customers are individuals or organizations that receive goods or services from a project."<SEP>"Customers are stakeholders who receive value from projects that create new products, services, or results." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ROLE" + "End Users are individuals who will use the final product or service of a project."<SEP>"End Users are stakeholders who receive value from projects that create new products, services, or results." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + "CONCEPT" + "Project Governance refers to the framework that defines the authority to approve changes and make decisions related to a project."<SEP>"Project Governance refers to the framework, functions, and processes that guide project management activities in order to create a unique product, service, or result to meet organizational, strategic, and operational goals." + chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "PERSON" + "Executives are leaders who provide guidance and oversight to project teams." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "PERSON" + "Business Unit Leaders are responsible for advancing project objectives and improving project performance." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "PERSON" + "A Customer is a role that defines and prioritizes project requirements."<SEP>"A customer is an individual or organization that receives a product or service from a project."<SEP>"Customer is a stakeholder who wants a specific software solution to resolve a business need."<SEP>"Customer refers to an individual or organization that receives the output of a project."<SEP>"Customer refers to an individual who is the end-user of the project's deliverables."<SEP>"Customer refers to the individual or organization that receives the deliverables from a project."<SEP>"The Customer is the individual or group who has requested or is funding the project."<SEP>"The Customer is the individual or organization that commissioned the project." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01<SEP>chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-184028d5fdd16be37a48b42950487090<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "PERSON" + "The End User is the individual or group who will experience the direct use of the project deliverable." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "A Value Delivery System is a framework that enables smooth workflows, manages issues, and supports decision-making." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "A Governance System is a framework that provides oversight, control, value assessment, integration, and decision-making capabilities." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "A Framework is a structure that guides activities and provides a foundation for project management." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Objectives are specific goals or targets that a project aims to achieve."<SEP>"Objectives are specific goals that projects aim to achieve."<SEP>"Objectives are specific, measurable, achievable, relevant, and time-bound targets that a project aims to achieve."<SEP>"objectives are specific, measurable, achievable, relevant, and time-bound targets that a project aims to achieve." + chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9<SEP>chunk-184028d5fdd16be37a48b42950487090<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Functions are the activities and tasks that people perform to achieve project objectives." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Leadership is the ability to guide and direct a project team towards achieving project objectives."<SEP>"Leadership promotes project success and contributes to positive project outcomes."<SEP>"Leadership refers to the ability to guide and direct a team or organization."<SEP>"Leadership refers to the ability to guide and direct project teams, as seen in the text."<SEP>"Leadership refers to the attitude, talent, character, and behaviors to influence individuals within and outside the project team toward the desired outcomes." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Coordination is the process of managing and directing the work of a project team." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Oversight is the process of monitoring and controlling a project to ensure it is delivered on time, within budget, and to the required quality."<SEP>"Oversight refers to the act of supervising or monitoring a project or activity." + chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "Monitoring is the process of tracking and reporting on project progress." + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + "CONCEPT" + "facilitation is required to coordinate meetings and contribute in an unbiased way to the advancement of project objectives." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "Change refers to a situational event that may or may not be accompanied by transition."<SEP>"Change refers to any modification to the project scope, schedule, or budget."<SEP>"Change refers to the process of adapting to a new situation or circumstances."<SEP>"Change refers to the process of adapting to new circumstances or requirements in a project or organization."<SEP>"Change refers to the process of modifying or adapting to new information or circumstances."<SEP>"Change refers to the process of transformation or alteration of something, often involving stakeholders and requiring adaptability."<SEP>"Change refers to the process of transitioning from a current state to a future state."<SEP>"supporting people through change is required to help address obstacles that can prevent success." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-666440a3fd9e5eb6c8f659f784faab5a<SEP>chunk-d30a0e904a281ddfbee628e40ef516c1<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "ORGANIZATION" + "cross-functional project team members can provide a mix of internal perspectives, establish alliances with key business units, and encourage project team members to act as change agents." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "Project Deliverables are the outputs of the project that are expected to meet the project objectives."<SEP>"Project Deliverables are the products or services produced by a project."<SEP>"Project Deliverables are the specific goals or products of a project."<SEP>"Project Deliverables refer to the products, services, or results produced by a project."<SEP>"Project Deliverables refer to the tangible or intangible outcomes of a project, as discussed in the text."<SEP>"Project deliverables are the tangible or intangible outcomes of a project, including products, services, or results."<SEP>"Project deliverables refer to the outputs or results of a project."<SEP>"project deliverables are the products and outcomes of the project." + chunk-34b346c878ea1d57fb2ff4f6c484eb69<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "ORGANIZATION" + "Senior management within organizations need to understand the performance of projects."<SEP>"senior management provides direction and oversight to the project team." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "EVENT" + "project closure is the process of finalizing the project and ensuring that the intended business benefits are realized." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "ORGANIZATION" + "the stakeholder community includes individuals or groups who have an interest in the project." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "Goals refer to the objectives that the organization sets for continued improvement after the change."<SEP>"goals are the objectives or targets that a project aims to achieve." + chunk-666440a3fd9e5eb6c8f659f784faab5a<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "Outcomes are the results of the project."<SEP>"Outcomes refer to the intangible benefits of a project or product."<SEP>"Outcomes refer to the results and impacts of a project."<SEP>"outcomes are the results or consequences of a project's activities." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "ORGANIZATION" + "business units are departments or teams within an organization that have specific responsibilities or functions." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "change agents are individuals who promote or facilitate change within an organization." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "ORGANIZATION" + "functional areas are departments or teams within an organization that have specific responsibilities or functions." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "Lessons Learned are insights gained from the project experience that can be applied to future projects."<SEP>"Lessons Learned refers to the knowledge and insights gained from a project that can be applied to future projects."<SEP>"lessons learned are the knowledge or insights gained from previous projects or experiences." + chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9<SEP>chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "artifacts are tangible or intangible products or results of a project." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "process assets are tools, methodologies, approaches, templates, frameworks, patterns, or PMO resources that support project management." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "governance documentation includes policies and processes that guide project management." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "data assets are databases, document libraries, metrics, data, and artifacts from previous projects." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "CONCEPT" + "knowledge assets are the tacit knowledge among project team members, subject matter experts, and other employees." + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + "TECHNOLOGY" + "Program Management is a framework for managing long-running initiatives."<SEP>"Program Management is a technology that has been developed and updated by the Project Management Institute."<SEP>"Program Management refers to the integration of related projects, subsidiary programs, and program activities."<SEP>"Program Management refers to the management of a group of related projects."<SEP>"Program management involves managing multiple related projects and programs to achieve strategic objectives." + chunk-557cadd77425c32d7bd9600fb9dedf19<SEP>chunk-5b470bffecabfc0b8d557efa60e80fb8<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Product Management is the integration of people, data, processes, and business systems to create, maintain, and develop a product or service."<SEP>"Product management is the integration of people, data, processes, and business systems to create, maintain, and evolve a product or service throughout its life cycle." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "A product life cycle includes the stages of product development, launch, growth, maturity, and decline."<SEP>"Product Life Cycle refers to the series of phases that represents the evolution of a product, from introduction through growth, maturity, and to retirement."<SEP>"Product life cycle is a series of phases that represents the evolution of a product, from concept through delivery, growth, maturity, and to retirement." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Standards refer to the guidelines and principles that govern project management practices."<SEP>"Standards refer to the rules or guidelines that govern a particular activity or industry." + chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "Professional Standards are the established rules and guidelines that professionals follow to maintain their expertise." + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "Methodologies are the systematic approaches used to execute projects and achieve specific goals." + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "Principles are the fundamental truths or rules that guide behavior and decision-making." + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "People refer to the individuals involved in project management, including team members, stakeholders, and sponsors." + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "Data refers to the information used to support project management, including project plans, schedules, and budgets." + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + "CONCEPT" + "Stewardship involves responsible planning, use, and management of resources."<SEP>"Stewardship refers to the responsible management and care of organizational resources and stakeholders." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-79ccc8459426463eeed13bd3c87147a4 + + + "CONCEPT" + "Principles of Project Management are guidelines for effective project management." + chunk-79ccc8459426463eeed13bd3c87147a4 + + + "CONCEPT" + "Code of Ethics and Professional Conduct is a document that outlines the ethical principles and standards for project professionals."<SEP>"Code of Ethics and Professional Conduct is a set of principles for moral conduct." + chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Responsibility refers to the condition of being obligated to do or fulfill something."<SEP>"Responsibility refers to the obligation and accountability of individuals or teams to deliver project outcomes."<SEP>"Responsibility refers to the obligation to account for one's actions and decisions."<SEP>"Responsibility refers to the obligation to act in a particular way." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Respect involves treating others with dignity and consideration."<SEP>"Respect is a key value in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e<SEP>chunk-79ccc8459426463eeed13bd3c87147a4 + + + "CONCEPT" + "Fairness refers to the principle of treating others justly and impartially." + chunk-79ccc8459426463eeed13bd3c87147a4 + + + "CONCEPT" + "Honesty involves truthfulness and transparency."<SEP>"Honesty is the quality of being truthful and transparent in one's words and actions." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-79ccc8459426463eeed13bd3c87147a4 + + + "EVENT" + "Section 3 – Project Management Principles is a part of The Standard for Project Management, providing guidance on project management principles."<SEP>"Section 3 – Project Management Principles is a part of a publication that discusses project management principles."<SEP>"Section 3 – Project Management Principles is a part of the Standard for Project Management."<SEP>"Section 3 – Project Management Principles is a part of the standard for project management." + chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-438eda18c89bd9de51dc0f44c99435ac + + + "DOCUMENT" + "Figure 3-1 is an illustration that demonstrates the overlap of project management and general management principles." + chunk-79ccc8459426463eeed13bd3c87147a4 + + + "CONCEPT" + "Trustworthiness refers to the ability of individuals to represent themselves and their organization accurately." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "CONCEPT" + "Compliance refers to the adherence to laws, rules, regulations, and requirements." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "CONCEPT" + "Team Agreements are a set of behavioral parameters and working norms established by the project team and upheld through individual and project team commitment."<SEP>"Team agreements refer to the understandings and expectations among team members."<SEP>"Team agreements represent a set of behavioral parameters and working norms established by the project team." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Organizational Structures are any arrangement of or relation between the elements of project work and organizational processes."<SEP>"Organizational structures refer to the systems and processes used to coordinate project teams." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "A Collaborative Project Team Environment fosters the free exchange of information and individual knowledge, increasing shared learning and individual development."<SEP>"A collaborative project team environment facilitates alignment, individual and team learning, and optimal contributions to deliver desired outcomes."<SEP>"Collaborative Project Team Environment refers to a team that works together effectively and collaboratively to achieve project goals." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "ORGANIZATION" + "Project practitioners are individuals who apply the principles and guidelines of project management." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "ORGANIZATION" + "Stewards are individuals who represent themselves, their roles, their project team, and their authority accurately." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "CONCEPT" + "Laws refer to the rules and regulations that organizations must comply with." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + "CONCEPT" + "Regulations refer to laws, rules, or guidelines that govern a project or activity."<SEP>"Regulations refer to rules or laws that govern a particular activity or industry."<SEP>"Regulations refer to the rules and guidelines that organizations must follow." + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Requirements are conditions or capabilities necessary to satisfy a need."<SEP>"Requirements are the needs or conditions that a project must meet."<SEP>"Requirements are the needs or conditions that must be met by the project, including its goals, objectives, and constraints."<SEP>"Requirements are the needs or conditions that must be met by the project."<SEP>"Requirements are the needs or specifications that must be met by the project."<SEP>"Requirements refer to conditions or capabilities necessary to satisfy business needs."<SEP>"Requirements refer to the needs and expectations of stakeholders that the project must meet."<SEP>"Requirements refer to the needs and expectations of stakeholders."<SEP>"Requirements refer to the needs and expectations of the project."<SEP>"Requirements refer to the needs or conditions that must be met by a project."<SEP>"Requirements refer to the needs or conditions that must be met for a project to be considered complete."<SEP>"Requirements refer to the needs or specifications of a project." + chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-07de9a54bc3ab6b1f8a981b92b3d0ece<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-b1eb1b308668b487160501574c3302cf<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-22711c24dd56ac426b9723c9653def64<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "ORGANIZATION" + "Project Teams are groups of individuals who work together to achieve a common project objective."<SEP>"Project Teams are groups of individuals working together to achieve a project goal."<SEP>"Project Teams are groups of individuals working together to achieve project objectives."<SEP>"Project teams are part of organizations that deliver projects." + chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0<SEP>chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Authority is different than leadership."<SEP>"Authority refers to the condition of having the right to make relevant decisions, establish or improve procedures, apply project resources, expend funds, or give approvals."<SEP>"Authority refers to the position of control given to individuals within an organization to foster overall effective and efficient function."<SEP>"Authority refers to the power or right to make decisions and take actions." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a + + + "CONCEPT" + "Accountability refers to the condition of being answerable for an outcome." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Scope/Requirements refer to the boundaries and objectives of a project." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "A schedule is a plan for executing a project's activities, including durations, dependencies, and other planning information."<SEP>"Schedule is a concept used to describe the project timeline."<SEP>"Schedule refers to the plan for completing a project."<SEP>"Schedule refers to the plan for completing tasks and activities in a project."<SEP>"Schedule refers to the plan for completing tasks and deliverables within a project."<SEP>"Schedule refers to the timeline and deadlines of a project or product." + chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-1e4e7240611a4206b9dbb79d7ffa7c81<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-86bf58aeb66cf74473057a61493dd834<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Cost refers to the resources and expenses associated with a project." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Skills refer to the abilities and expertise of project team members." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Knowledge refers to the information and understanding possessed by project team members." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Experience refers to the background and history of project team members." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "A Learning Culture refers to an environment that encourages the exchange of knowledge and skills." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Culture refers to the values, beliefs, and practices within an organization."<SEP>"Culture refers to the values, norms, and practices of an organization or project team."<SEP>"culture refers to the values, norms, and practices that influence the way a project is carried out." + chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-40190ed38fc930b560dfcd36d953bdf4 + + + "CONCEPT" + "Guidelines are rules or principles that guide project team behavior."<SEP>"Guidelines refer to the recommendations or standards provided by the PMBOK Guide for project management." + chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "ORGANIZATION" + "PMI Seventh Edition July 2021 is a publication that outlines the standard for project management."<SEP>"PMI Seventh Edition July 2021 is a publication that provides guidance on project management principles."<SEP>"PMI Seventh Edition July 2021 is a publication that provides guidance on project management."<SEP>"PMI Seventh Edition July 2021 is an edition of the Project Management Institute's guide that discusses various leadership models."<SEP>"PMI Seventh Edition July 2021 is an event related to the certification and training for project managers."<SEP>"PMI Seventh Edition July 2021 is an organization that publishes a guide for project management."<SEP>"PMI Seventh Edition July 2021 is the edition of the Project Management Institute's guide, a resource for project management knowledge and best practices." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-9947bbde59db8d816dbcf11d36aa2f14<SEP>chunk-3ab161f95a3fd62de5afd0684c3eb02a<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-570166d803a04a71c2d5909dd5cd7800<SEP>chunk-b35b0201c9783a967d199079a33694e3<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "EVENT" + "Figure 3-4. Effectively Engage with Stakeholders is an illustration that demonstrates stakeholder engagement." + chunk-9947bbde59db8d816dbcf11d36aa2f14 + + + "CONCEPT" + "Business refers to the organization that benefits from the project outcomes."<SEP>"Business refers to the rationale for the project, explaining why the project is undertaken." + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "Success is the ultimate goal of a project, which can be measured in terms of value, outcomes, or benefits." + chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "A Project Charter is a document that provides approval for the project manager to form a project team to achieve project outcomes."<SEP>"A project charter is a document that authorizes a project and provides details about the business goals and objectives."<SEP>"A project charter is a document that formally authorizes the existence of a project and provides the Project Manager with the authority to apply organizational resources to project activities."<SEP>"A project charter is a document that outlines the purpose and scope of a project."<SEP>"Project Charter is a document issued by the project initiator or sponsor that formally authorizes the existence of a project and provides the project manager with the authority to apply organizational resources to project activities."<SEP>"Project Charter is a document that formally authorizes a project and defines its objectives and scope."<SEP>"Project Charter is a document that formally authorizes a project."<SEP>"Project charter is a document that formally authorizes a project, outlining its scope, goals, and objectives." + chunk-d925527be3a672df92169e8f22e8adf3<SEP>chunk-f459e762482aee7e7573a73fe673e666<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-13edbc411f025b75a6768a4f52e9502a<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "CONCEPT" + "An authorizing document is a document that gives authority to a project." + chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "Preliminary business requirements are the initial needs and goals of a project." + chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "Project Justification explains why a business need is worth the investment and why it should be addressed at this time."<SEP>"Project justification is the reason why a project is undertaken." + chunk-d925527be3a672df92169e8f22e8adf3<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Business Need refers to a requirement or a problem that a project aims to address."<SEP>"Business need refers to the rationale for a project." + chunk-d925527be3a672df92169e8f22e8adf3<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "A performing organization is an organization that undertakes a project."<SEP>"The performing organization is the entity that assigns the project manager to lead the project team." + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "A client organization is an organization that commissions a project." + chunk-d925527be3a672df92169e8f22e8adf3 + + + "CONCEPT" + "System is a set of interacting and interdependent components that function as a unified whole." + chunk-184028d5fdd16be37a48b42950487090 + + + "TECHNOLOGY" + "Software is the output of a project that can enable a productivity outcome."<SEP>"Software refers to computer programs and systems used in project execution." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "TECHNOLOGY" + "Training and Coaching is a deliverable that can enable a better productivity outcome." + chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Business Goals are the objectives that a project aims to achieve." + chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Cost-Benefit Analysis is a financial analysis method used to determine the benefits of a project against its costs."<SEP>"Cost-Benefit Analysis is a method used to evaluate the potential costs and benefits of a project."<SEP>"Cost-benefit analysis is a financial analysis tool used to determine the benefits provided by a project against its costs." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Assumptions are factors considered to be true or certain without proof."<SEP>"Assumptions are statements that are taken as true or certain for the purpose of a project."<SEP>"Assumptions are statements that are taken for granted or assumed to be true." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-11a654df40b9e34ab6b0e53be6ce4862<SEP>chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Business Strategy is the reason for a project and all needs are related to the strategy to achieve the value." + chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Operational Activities are ongoing activities that are necessary to maintain business operations." + chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "Subsystems are smaller systems that are part of a larger system." + chunk-184028d5fdd16be37a48b42950487090 + + + "CONCEPT" + "A deliverable is a project outcome that is released incrementally, expanding the cumulative outcomes or capabilities of previous versions."<SEP>"Deliverable is a tangible or intangible product that is produced by a project."<SEP>"Deliverable refers to a tangible or intangible output of a project."<SEP>"Deliverable refers to any unique and verifiable product, result, or capability to perform a service that is required to be produced to complete a process, phase, or project." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-184028d5fdd16be37a48b42950487090<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c + + + "ORGANIZATION" + "A System of Systems refers to interconnected structures that are known as a system of systems." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "System thinking entails taking a holistic view of how project parts interact with each other and with external systems." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "A synthesized team culture can be established in a project system that combines the cultures of different organizations." + chunk-253213c9288bb2be909f76a7308794dc + + + "TECHNOLOGY" + "A change control protocol is used to obtain approvals from entities in external systems." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "Risk is a concept in project management, referring to uncertain events or conditions that can have a positive or negative effect on project objectives."<SEP>"Risk is an uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives."<SEP>"Risk refers to a potential threat or opportunity that may impact a project."<SEP>"Risk refers to an uncertain event or condition that can impact project objectives."<SEP>"Risk refers to an uncertain event or condition that could affect a project's objectives."<SEP>"Risk refers to an uncertain event or condition that could impact a project."<SEP>"Risk refers to an uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives."<SEP>"Risk refers to any uncertain event or condition that could impact a project."<SEP>"Risk refers to the effect of uncertainty on a project, encompassing threats and opportunities."<SEP>"Risk refers to the possibility of an unfavorable event occurring that could impact a project's objectives."<SEP>"Risk refers to the potential for an event or circumstance to have a negative impact on the project."<SEP>"Uncertainty and risk within the project can be considered and adjusted throughout the project life cycle." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "A project life cycle includes phases such as initiation, planning, execution, and closure, each with its own set of activities and deliverables."<SEP>"Project Life Cycle is the series of phases that a project passes through from its start to its completion."<SEP>"Project Life Cycle refers to the phases of a project, from initiation to completion."<SEP>"Project Life Cycle refers to the series of phases that a project goes through from initiation to completion, as discussed in the text."<SEP>"Project Life Cycle refers to the series of phases that a project passes through from its start to its completion."<SEP>"Project life cycle refers to the stages a project goes through from initiation to completion."<SEP>"Project life cycle refers to the stages a project goes through, including initiation, planning, execution, monitoring and control, and closure."<SEP>"Project life cycle refers to the stages and phases of a project from initiation to completion."<SEP>"Project life cycle refers to the stages or phases through which a project passes from initiation to completion."<SEP>"The Project Life Cycle refers to the stages a project goes through from initiation to completion."<SEP>"The project life cycle includes the phases of initiation, planning, execution, monitoring and control, and closure." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4<SEP>chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "The initiation phase is the first phase of the project life cycle, where the project is defined and authorized." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "Planning is a process group in project management that involves establishing the scope of the project, refining objectives, and defining the course of action."<SEP>"Planning refers to the process of creating a project plan."<SEP>"The planning phase is the second phase of the project life cycle, where the project scope, schedule, and budget are defined." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-dfd5336b58d31fea2e0afcb60387f69c<SEP>chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "The execution phase is the third phase of the project life cycle, where the project work is performed." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "The monitoring and control phase is the fourth phase of the project life cycle, where the project progress is tracked and controlled." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "The closure phase is the final phase of the project life cycle, where the project is formally closed." + chunk-253213c9288bb2be909f76a7308794dc + + + "ORGANIZATION" + "Team members are individuals who work together to achieve a common objective." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "Mental models refer to the ways in which team members think and perceive the project and its stakeholders." + chunk-253213c9288bb2be909f76a7308794dc + + + "CONCEPT" + "Uncertainty is a key concept in project management, contributing to complexity and risk."<SEP>"Uncertainty is a lack of understanding and awareness of issues, events, path to follow, or solutions to pursue."<SEP>"Uncertainty is a lack of understanding and awareness of issues, events, paths to follow, or solutions to pursue."<SEP>"Uncertainty is the lack of understanding and awareness of issues, events, paths to follow, or solutions to pursue."<SEP>"Uncertainty refers to the degree of risk or unpredictability associated with a project or its outcomes."<SEP>"Uncertainty refers to the degree of unpredictability or risk in a project environment."<SEP>"Uncertainty refers to the lack of knowledge or predictability in the project."<SEP>"Uncertainty refers to the lack of predictability in a project, which gives rise to risks."<SEP>"Uncertainty refers to the state of being unsure or unpredictable."<SEP>"Uncertainty refers to the unknowns and risks in a project."<SEP>"Uncertainty refers to the unknowns and unpredictabilities in project management." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-4d7db1dc19851d5981cef4514b90f027<SEP>chunk-deae6fb3ccf5fe1684cdeb36bb26c517<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-c4f387784faaf5cb2f8232016e703fda<SEP>chunk-22711c24dd56ac426b9723c9653def64<SEP>chunk-4ad34b4364c38715068dd353f3620bcb + + + "TECHNOLOGY" + "A protocol is a set of rules or procedures for managing a process or activity."<SEP>"Protocol refers to a set of rules or procedures for conducting a project or activity." + chunk-253213c9288bb2be909f76a7308794dc<SEP>chunk-554ad5a189000609af98f86d63cf41ff + + + "ROLE" + "A Project Team Member is an individual working on the project team."<SEP>"Project Team Member is a role that can demonstrate effective leadership skills and contribute to project success." + chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-77e9d4fbd5863baaf2d201ff6000388a + + + "EVENT" + "Seventh Edition July 2021 is the edition and publication date of a project management publication." + chunk-77e9d4fbd5863baaf2d201ff6000388a + + + "ORGANIZATION" + "Individuals within and outside the project team refer to stakeholders who have an interest in the project and its outcomes." + chunk-77e9d4fbd5863baaf2d201ff6000388a + + + "PERSON" + "A Stakeholder is an individual or group with an interest in the project."<SEP>"Stakeholder analysis involves gathering and analyzing information about individuals with an interest in a project."<SEP>"Stakeholder is a person or group that has an interest in the project or its outcomes."<SEP>"Stakeholder is a person or group that has an interest in the project outcome."<SEP>"Stakeholder is an individual, group, or organization that may affect, be affected by, or perceive itself to("entity"<SEP>"Stakeholder refers to an individual or group with a vested interest in a project or change."<SEP>"Stakeholder refers to an individual or group with a vested interest in a project."<SEP>"Stakeholder refers to an individual or group with an interest in a project."<SEP>"Stakeholder refers to an individual or group with an interest in the project or product."<SEP>"Stakeholder refers to an individual or group with an interest in the project."<SEP>"Stakeholder refers to any individual or group affected by or interested in a project."<SEP>"Stakeholder refers to any individual or group affected by or interested in the project."<SEP>"Stakeholder refers to any individual or group that may be affected by the project."<SEP>"Stakeholder refers to individuals or groups affected by the project, with varying levels of interest and influence."<SEP>"Stakeholders are individuals or groups that have an interest in the project and its outcomes." + chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-29d5919417e1b3e84bdf25acd6b81886<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Self-Awareness is the ability to conduct a realistic self-assessment, understanding one's own emotions, goals, motivations, strengths, and weaknesses."<SEP>"Self-awareness is the ability to recognize and understand one's own biases and behaviors." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Bias is a factor to be recognized and addressed in critical thinking."<SEP>"Bias refers to the tendency to favor one perspective or viewpoint over others." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Behavior refers to the actions and conduct of an individual or group." + chunk-49b6f55a63205e85f4c5b85cbaaef25b + + + "CONCEPT" + "Perception is the way in which individuals interpret and understand information." + chunk-49b6f55a63205e85f4c5b85cbaaef25b + + + "CONCEPT" + "Leadership Skills are useful for all project team members, including establishing and maintaining vision, critical thinking, motivation, and interpersonal skills."<SEP>"Leadership skills refer to the abilities and qualities that enable individuals to lead and influence others." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Integrity is a key value in high-performing project teams."<SEP>"Integrity is the quality of being honest, ethical, and morally upright." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "CONCEPT" + "Ethics refer to the moral principles and values that guide an individual's or organization's behavior." + chunk-49b6f55a63205e85f4c5b85cbaaef25b + + + "CONCEPT" + "Transparency is a key value in high-performing project teams."<SEP>"Transparency refers to the openness and clarity of information and decision-making processes." + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "CONCEPT" + "Unselfishness is the quality of prioritizing the needs of others over one's own needs." + chunk-49b6f55a63205e85f4c5b85cbaaef25b + + + "CONCEPT" + "Methodology refers to a system of practices, techniques, and procedures used to achieve a specific goal." + chunk-49b6f55a63205e85f4c5b85cbaaef25b + + + "CONCEPT" + "Governance refers to the rules and regulations that govern the project."<SEP>"Governance refers to the system of rules, policies, and procedures that guide an organization or project."<SEP>"Governance refers to the system of rules, policies, and procedures that guide the management of a project or organization."<SEP>"Governance refers to the system of rules, practices, and processes by which an organization is directed and controlled." + chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-4d7db1dc19851d5981cef4514b90f027 + + + "CONCEPT" + "Quality is the degree to which a set of inherent characteristics fulfills requirements."<SEP>"Quality is the degree to which a set of inherent characteristics of a product, service, or result fulfills the requirements."<SEP>"Quality refers to the degree to which a product or service meets the requirements and expectations of stakeholders."<SEP>"Quality refers to the performance levels required to be met, which is a key aspect of project management." + chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-6914c6ceb214ebf9b69000b8386f6402<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "CONCEPT" + "Acceptance Criteria are the conditions that must be met before deliverables are accepted."<SEP>"Acceptance Criteria refer to the standards or conditions that a deliverable must meet."<SEP>"Acceptance criteria are the standards that must be met for the project deliverables." + chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-22711c24dd56ac426b9723c9653def64<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "ORGANIZATION" + "Regulatory Bodies are groups that enforce laws and regulations that affect a project."<SEP>"Regulatory Bodies are organizations that establish and enforce rules or regulations." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-a01eef185e59dbc3ba86197a6acb12a9 + + + "CONCEPT" + "Complexity is a characteristic of a program, project, or environment that is difficult to manage."<SEP>"Complexity is a characteristic of a project or its environment that is difficult to manage due to human behavior, system behavior, and ambiguity."<SEP>"Complexity is a key concept in project management, contributing to the project's potential for disruption." + chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Human Behavior is the interplay of conduct, demeanors, attitudes, and experience of people." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "System Behavior is the result of dynamic interdependencies within and among project elements." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Ambiguity is a challenging issue that requires critical thinking to address."<SEP>"Ambiguity is a state of being unclear, having difficulty in identifying the cause of events, or having multiple options from which to choose."<SEP>"Ambiguity is a state of being unclear, of not knowing what to expect or how to comprehend a situation."<SEP>"Ambiguity refers to uncertainty or unclear situations." + chunk-8600675e79622a16e8b3a8f5e75972bf<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-8c7dbc3db07f5753b258b37dea325667<SEP>chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Technological Innovation can cause disruption to products, services, ways of working, processes, tools, techniques, procedures, and more." + chunk-22711c24dd56ac426b9723c9653def64 + + + "ORGANIZATION" + "Regulatory agencies are organizations that have a significant impact on the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "ORGANIZATION" + "International financial institutions are organizations that can impact the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "ORGANIZATION" + "Vendors are organizations that provide goods or services to the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "ORGANIZATION" + "Specialty subcontractors are organizations that provide specialized services to the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "ORGANIZATION" + "Local communities are groups of people who may be impacted by the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Rework is the process of revising or re-doing work that does not meet the requirements." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Scrap is the process of discarding or removing work that does not meet the requirements." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Cost control is the process of managing and controlling project costs." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Product delivery is the process of delivering the project products or services." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Supply chain integration is the process of managing and coordinating the flow of goods and services." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Productivity is the measure of the efficiency and effectiveness of the project." + chunk-22711c24dd56ac426b9723c9653def64 + + + "CONCEPT" + "Adaptability is a key concept in project management, referring to the ability to respond to changing conditions."<SEP>"Adaptability is a key factor in high-performing project teams."<SEP>"Adaptability refers to the ability to respond to changing conditions." + chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "CONCEPT" + "Resiliency is a key concept in project management, referring to the ability to absorb impacts and recover quickly from setbacks."<SEP>"Resiliency refers to the ability to absorb impacts and recover quickly from setbacks." + chunk-438eda18c89bd9de51dc0f44c99435ac<SEP>chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7 + + + "PERSON" + "Project Sponsor refers to an individual who supports a project."<SEP>"Project sponsor refers to the person or organization that provides financial or other resources to the project."<SEP>"The Project Sponsor is the individual or organization that provides funding and support for the project." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "PERSON" + "A Product Owner is a role responsible for defining and prioritizing project requirements."<SEP>"Product Owner is a person responsible for defining and prioritizing product backlog."<SEP>"Product Owner prioritizes the project backlog and manages expectations around adding scope and budget."<SEP>"Product Owner refers to an individual responsible for the product being developed."<SEP>"The Product Owner is a person who is responsible for the product."<SEP>"The Product Owner is a stakeholder who plays a substantial role in establishing and prioritizing work."<SEP>"The Product Owner is responsible for defining and prioritizing the project scope." + chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-557cadd77425c32d7bd9600fb9dedf19<SEP>chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Change Management is a comprehensive, cyclic, and structured approach for transitioning individuals, groups, and organizations from a current state to a future state."<SEP>"Change Management refers to the process of managing and facilitating change within an organization."<SEP>"Change Management refers to the process of planning, implementing, and managing changes to the project or organization." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782 + + + "EVENT" + "Setbacks refer to situations where a project fails or falls short of expectations." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7 + + + "CONCEPT" + "State refers to a condition or situation." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7 + + + "CONCEPT" + "Current State refers to the existing condition or situation." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7 + + + "CONCEPT" + "Future State refers to the desired condition or situation." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7 + + + "CONCEPT" + "Transition is a psychological process that individuals undergo when an organizational change takes place."<SEP>"Transition is a psychological process where people gradually accept the details of the new situation and the changes that come with it."<SEP>"Transition refers to the process of moving from one state to another." + chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7<SEP>chunk-666440a3fd9e5eb6c8f659f784faab5a<SEP>chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "A Business Case is a document that outlines the justification for a project, including its costs, benefits, and risks."<SEP>"A business case is a document that outlines the benefits and justification for a project."<SEP>"A business case is a document that outlines the justification for a project, including its benefits and costs."<SEP>"A business case is a value proposition for a proposed project that may include financial and nonfinancial benefits."<SEP>"Business Case is a document that justifies the project."<SEP>"Business Case is a value proposition for a proposed project that may include financial and nonfinancial benefits."<SEP>"Business Case refers to the justification for a project, including its benefits and costs."<SEP>"Business Case refers to the justification or rationale for a project or change."<SEP>"Business case is a document that outlines the justification for a project."<SEP>"Business case refers to the justification or rationale for undertaking a project." + 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behavior of professionals in a particular field." + chunk-20479a7b52eb41d9c6e3afece7b26782 + + + "CONCEPT" + "Stakeholder Engagement includes implementing strategies and actions to promote productive involvement of stakeholders."<SEP>"Stakeholder Engagement is a concept that refers to the process of engaging with stakeholders."<SEP>"Stakeholder Engagement refers to the process of identifying, analyzing, and responding to the needs and expectations of stakeholders."<SEP>"Stakeholder engagement is a concept that involves communicating and interacting with stakeholders." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Organizational Culture refers to the shared values, norms, and beliefs that shape the behavior and attitudes of an organization's members."<SEP>"Organizational culture refers to the set of values, norms, and practices that shape an organization's behavior and decision-making." + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "Risk Management involves identifying, assessing, and mitigating potential risks that could impact a project."<SEP>"Risk Management refers to the process of identifying, assessing, and mitigating potential risks that could impact the project." + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Communication refers to the exchange of information among stakeholders, team members, and other interested parties."<SEP>"Communication refers to the exchange of information between project team members and stakeholders, as emphasized in the text."<SEP>"Communication refers to the exchange of information." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Feedback refers to the process of gathering and acting on input from stakeholders to improve project outcomes."<SEP>"Feedback refers to the process of sharing information or opinions about the project." + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Engagement is a concept that refers to the level of involvement and commitment from stakeholders."<SEP>"Engagement refers to the level of interest, participation, and commitment of stakeholders to the project."<SEP>"Engagement refers to the level of involvement or participation of stakeholders in the project." + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b<SEP>chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-dc8059d6f260b421b479101a38a30657 + + + "PERSON" + "A project manager is a professional responsible for leading project teams, making decisions, and ensuring project success."<SEP>"Project manager (PM) is a professional responsible for leading project teams, making decisions, and ensuring project success." + chunk-34b346c878ea1d57fb2ff4f6c484eb69<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "ORGANIZATION" + "A collaborative project team environment is essential for project success, requiring adaptability, resilience, and effective communication." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Project requirements are the needs and expectations of stakeholders that must be met to ensure project success." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Project risk refers to any uncertainty that could impact the project."<SEP>"Project risk refers to the potential threats or opportunities that can impact project success, and must be identified, assessed, and mitigated." + chunk-77d4591f212f2f117892d62813852861<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "ORGANIZATION" + "A program is a collection of related projects and activities that are managed together to achieve strategic objectives." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Project assets refer to the resources, skills, and knowledge that are required to deliver a project." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "ORGANIZATION" + "Quality management processes involve planning, implementing, and controlling activities to ensure quality in project deliverables." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "The regulatory environment refers to the laws, regulations, and standards that govern a project or organization." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Relevance refers to the importance and applicability of a project or activity to the needs and goals of stakeholders." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Reliability refers to the consistency and dependability of project deliverables and processes." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Research involves the systematic investigation and analysis of information to identify solutions to problems or opportunities." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Resilience is a key factor in high-performing project teams."<SEP>"Resilience refers to the ability of a project or organization to withstand and recover from adversity and change." + chunk-807003f374e7d2c2f05e374bb8fae00e<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Risk appetite refers to the level of risk that an organization is willing to accept."<SEP>"Risk appetite refers to the level of risk that an organization or project is willing to accept." + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Risk attitude refers to the way in which an individual or organization perceives and responds to risk." + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "CONCEPT" + "Risk responses are the actions taken to mitigate or exploit risks."<SEP>"Risk responses involve the actions taken to mitigate or manage project risk." + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + "ORGANIZATION" + "The PMBOK Guide is a document that outlines project management principles and standards, and is published by PMI."<SEP>"The PMBOK Guide is a guidebook developed by PMI that provides a framework for project management." + chunk-5efb02b1632a5eec4174cfd09d5fc535<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "DOCUMENT" + "Section 2 of the PMBOK Guide describes the eight project performance domains." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "DOCUMENT" + "Section 3 of the PMBOK Guide describes tailoring and how to apply it to individual projects." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "DOCUMENT" + "Section 4 of the PMBOK Guide describes commonly used models, methods, and artifacts in project management." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "DOCUMENT" + "A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE (PMBOK Guide) is a document that outlines project management principles and standards." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "ORGANIZATION" + "A Project Team is a group of individuals working together to achieve project objectives."<SEP>"Project team refers to the group of individuals responsible for managing and executing project activities." + chunk-77d4591f212f2f117892d62813852861<SEP>chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "A collaborative team environment is one where team members work together effectively and efficiently." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Direct and indirect benefits refer to the positive outcomes of a project." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Context refers to the environment in which a project is executed." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Definition refers to a clear and concise statement of what a concept or term means."<SEP>"definition refers to a clear explanation of a concept." + chunk-8600675e79622a16e8b3a8f5e75972bf<SEP>chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Facilitation refers to the process of helping a team or group to work effectively." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Functions associated with projects refer to the activities and tasks that are performed to achieve project objectives." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Information flow refers to the exchange of information among stakeholders." + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + "CONCEPT" + "Delivery refers to the process of delivering a project."<SEP>"Delivery refers to the process of providing the project's outputs or outcomes to the stakeholders." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-4d7db1dc19851d5981cef4514b90f027 + + + "CONCEPT" + "Stakeholder Analysis is a method of systematically gathering and analyzing information to determine whose interests should be taken into account throughout the project."<SEP>"Stakeholder Analysis is the process of identifying and analyzing stakeholders."<SEP>"Stakeholder analysis involves systematically gathering and analyzing quantitative and qualitative information about stakeholders." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "ORGANIZATION" + "Governing Bodies are groups that have the power to make decisions and influence a project." + chunk-03111e475d5b0638f4ea2f7775880a7a + + + "ORGANIZATION" + "PMOs are groups responsible for overseeing and guiding project management."<SEP>"PMOs are part of organizations that support project management capabilities and value delivery." + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Steering Committees are groups that provide direction and guidance to a project." + chunk-03111e475d5b0638f4ea2f7775880a7a + + + "ORGANIZATION" + "Suppliers are organizations that provide goods or services to a project." + chunk-03111e475d5b0638f4ea2f7775880a7a + + + "EVENT" + "Section 2 – Project Performance Domains is a concept that addresses activities and functions associated with project performance."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide that addresses project uncertainty."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide that covers leadership skills, critical thinking, motivation, and interpersonal skills."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses project performance domains."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses project performance."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses the planning performance domain."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide, discussing development approaches."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide, discussing different aspects of project management."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide, focusing on project performance."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide, outlining project performance domains."<SEP>"Section 2 – Project Performance Domains is a part of the PMBOK Guide." + chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-8c7dbc3db07f5753b258b37dea325667<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-a0cd80fe6cfdb0202a7214e71a96fc25<SEP>chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-09171466a88a728490c48ac838785d6c<SEP>chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "TECHNOLOGY" + "Figure 2-2 is a diagram that illustrates examples of project stakeholders." + chunk-03111e475d5b0638f4ea2f7775880a7a + + + "ORGANIZATION" + "Project management team is a group of professionals responsible for managing a project, including the project manager, team members, and stakeholders."<SEP>"The Project Management Team consists of members directly involved in project management activities." + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "CONCEPT" + "Project Objectives are the goals and scope of the project that are to be achieved."<SEP>"Project Objectives are the goals or outcomes that the project aims to achieve."<SEP>"Project Objectives refer to the specific goals and outcomes that a project aims to achieve."<SEP>"Project objectives are the goals and outcomes that a project aims to achieve."<SEP>"Project objectives refer to the specific goals that the project team aims to achieve." + chunk-b1eb1b308668b487160501574c3302cf<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Project Benefits are the outcomes that are expected to be realized by the project." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "PERSON" + "Project Management Office Leads are stakeholders who focus on measures of performance for the project and its deliverables." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "PERSON" + "Program Managers are stakeholders who focus on measures of performance for the project and its deliverables." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "Project Management Activities are the tasks and responsibilities of the project manager and team." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "Project Objectives are the goals and scope of the project that are to be achieved." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "Project Deliverables are the outputs of the project that are expected to meet the project objectives." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "Project Benefits are the outcomes that are expected to be realized by the project." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "The Project Issue Register is a document that tracks and manages issues associated with individual stakeholders." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "CONCEPT" + "The Risk Register is a document that tracks and manages risks associated with the project." + chunk-44560986014a57dff0ad84aa387bfc50 + + + "ORGANIZATION" + "A Servant Leader is a style of leadership that focuses on understanding and addressing the needs and development of project team members." + chunk-1fe78929e30869d4ce7365694133fb9b + + + "EVENT" + "A Project Team Charter is a document that outlines the project team's operating guidelines or norms."<SEP>"A project team charter is a technology used in project management, recording team values, agreements, and operating guidelines."<SEP>"Project team charter is a document that outlines the project team's roles and responsibilities." + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-0b9b64e1de90c504763ea89d2acc71f6 + + + "CONCEPT" + "A contract is a concept in project management, referring to a mutually binding agreement between a buyer and a seller."<SEP>"A contract is an agreement between organizations that defines the terms of a business relationship."<SEP>"A contract is an agreement between two or more parties that outlines the terms and conditions of a project."<SEP>"A contract specifies the terms and conditions of a project, including the scope, timeline, and budget." + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e<SEP>chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "A strategic partnership is a collaborative agreement between organizations to achieve common goals." + chunk-1fe78929e30869d4ce7365694133fb9b + + + "CONCEPT" + "A business relationship refers to the connection between organizations that benefits from project outcomes." + chunk-1fe78929e30869d4ce7365694133fb9b + + + "EVENT" + "Section 4 is a part of the PMBOK Guide that discusses project team growth." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Project Culture refers to the values, norms, and behaviors that are shared by a project team." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Section 2 is a part of the PMBOK Guide that discusses project performance domains." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "ORGANIZATION" + "High-Performing Project Teams are teams that achieve exceptional results."<SEP>"High-performing project teams are teams that achieve high levels of success." + chunk-a7ca9a9f6e2f50b821296aa0990e0144<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Open Communication is a key factor in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Shared Understanding is a key factor in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Shared Ownership is a key factor in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Trust is a key factor in high-performing project teams."<SEP>"Trust refers to the level of confidence and reliance that parties have in each other during a negotiation." + chunk-dfd5336b58d31fea2e0afcb60387f69c<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "CONCEPT" + "Collaboration is a key factor in high-performing project teams."<SEP>"Collaboration refers to the act of working together." + chunk-a7ca9a9f6e2f50b821296aa0990e0144<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Empowerment is a key factor in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Positive Discourse is a key value in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Support is a key value in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "EVENT" + "Courage is a key value in high-performing project teams." + chunk-807003f374e7d2c2f05e374bb8fae00e + + + "CONCEPT" + "Critical Thinking is a disciplined, rational, logical, evidence-based thinking that helps to recognize bias, identify root causes of problems, and consider challenging issues." + chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Motivation is the driving force behind project team members' actions, including intrinsic and extrinsic motivation factors." + chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Interpersonal Skills are essential for project management, including emotional intelligence, decision making, and conflict resolution." + chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Emotional Intelligence is the ability to identify, assess, and manage the personal emotions of oneself and other people, as well as the collective emotions of groups of people."<SEP>"Emotional Intelligence is the ability to recognize one's own emotions and those of others, guiding thinking and behavior."<SEP>"Emotional Intelligence is the ability to recognize our own emotions and those of others, guiding thinking and behavior." + chunk-719ffd3ff27915b62620bd5e561f9b92<SEP>chunk-8c7dbc3db07f5753b258b37dea325667<SEP>chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Decision Making is a skill used in project management, including recognizing and resolving problems."<SEP>"Decision Making is the process of making choices, which can be done unilaterally or through group-based decision making."<SEP>"Decision Making refers to the process of choosing a course of action based on available information." + chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-8c7dbc3db07f5753b258b37dea325667<SEP>chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Conflict Resolution is a skill used in project management, including recognizing and resolving problems."<SEP>"Conflict resolution is the process of addressing and resolving conflicts." + chunk-13edbc411f025b75a6768a4f52e9502a<SEP>chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Root Cause is the underlying reason for a problem." + chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Challenging Issues are complex problems that require critical thinking to address." + chunk-8c7dbc3db07f5753b258b37dea325667 + + + "CONCEPT" + "Self-Management is the ability to control and redirect disruptive feelings and impulses, thinking before acting." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Social Awareness is about empathy and understanding other people's feelings, including reading nonverbal cues and body language." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Social Skill is the culmination of the other dimensions of Emotional Intelligence, concerned with managing groups of people and building rapport." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Conflict Management is the approach to addressing conflicts, which can be positive or negative, and is crucial in project environments." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Roman Voting is a method of decision making that aims to engage individual input while voting at the same moment." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Wideband Delphi Estimating is a method of decision making that uses a structured process to gather input from a group." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Fist of Five Voting is a method of decision making that uses a simple and fast way to gather input from a group." + chunk-0d50fedd13a679c702148b69690a374b + + + "CONCEPT" + "Conflict is a common issue that can arise in a project."<SEP>"Conflict refers to disagreements or disputes that can arise in project settings, as discussed in the text." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-13edbc411f025b75a6768a4f52e9502a + + + "PERSON" + "Project Managers are responsible for leading project teams and making decisions, as described in the text." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2 + + + "CONCEPT" + "Check is a process or activity used to verify or validate an outcome."<SEP>"Check refers to the process of verifying or evaluating the outcome of a particular action or decision, as mentioned in the text." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "A development approach refers to the methods and techniques used to create a project's deliverables."<SEP>"Development Approach refers to the means used to create and evolve the product, service, or result during the project life cycle."<SEP>"Development Approach refers to the method used to create project deliverables."<SEP>"Development Approach refers to the methodology used to develop project deliverables."<SEP>"Development Approach refers to the strategy or plan for delivering project deliverables, as mentioned in the text."<SEP>"Development approach refers to the method used to create the project."<SEP>"development approach refers to the way in which a project is carried out, which may be predictive, hybrid, or adaptive." + chunk-40190ed38fc930b560dfcd36d953bdf4<SEP>chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79<SEP>chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "CONCEPT" + "Business Value is the net quantifiable benefit derived from a business endeavor."<SEP>"Business Value refers to the benefits or advantages that a project provides to the organization, as mentioned in the text."<SEP>"Business Value refers to the benefits or outcomes that the project provides to the organization." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-b1eb1b308668b487160501574c3302cf<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Stakeholder Value refers to the benefits or advantages that a project provides to stakeholders, as discussed in the text." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2 + + + "CONCEPT" + "Project Context refers to the internal and external factors that affect a project, as mentioned in the text."<SEP>"Project context refers to the internal and external factors that influence a project, including organizational culture, stakeholder expectations, and market conditions." + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "CONCEPT" + "Project Phase is a collection of logically related project activities that culminates in the completion of one or more deliverables."<SEP>"Project phase refers to a stage or segment of the project life cycle." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Cadence is a rhythm of activities conducted throughout a project."<SEP>"Cadence refers to the rhythm of activities conducted throughout the project."<SEP>"Cadence refers to the rhythm or pace of project deliveries and development." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-570166d803a04a71c2d5909dd5cd7800<SEP>chunk-b27e2d8e58767f91bdf969368902884b + + + "CONCEPT" + "Product refers to an artifact that is produced, is quantifiable, and can be either an end item in itself or a component item."<SEP>"Product refers to an artifact that is produced, quantifiable, and can be either an end item or a component item."<SEP>"Product refers to the deliverables or outcomes of a project."<SEP>"Product refers to the outcome of a project."<SEP>"Product refers to the outcome or result of a project."<SEP>"Product refers to the result of a project, which can be a tangible or intangible item."<SEP>"Product refers to the result or outcome of a project or process." + chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-130bfc37278bafc90298343494ac8632<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Service refers to an intangible product or benefit that is provided to customers."<SEP>"Service refers to the outcome or result of a project that provides value to customers." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-130bfc37278bafc90298343494ac8632 + + + "CONCEPT" + "Result refers to the outcome or effect of a project or process." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "CONCEPT" + "Capability refers to the ability to perform a service or function." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "CONCEPT" + "Process Reengineering refers to the systematic analysis and redesign of business processes to improve their efficiency and effectiveness." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "TECHNOLOGY" + "Drug refers to a pharmaceutical product developed through a project." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "CONCEPT" + "Security refers to the measures taken to protect a project or its outputs."<SEP>"Security refers to the measures taken to protect people, assets, or information from harm or unauthorized access." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459<SEP>chunk-554ad5a189000609af98f86d63cf41ff + + + "TECHNOLOGY" + "Badges refer to physical security devices used to control access." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "TECHNOLOGY" + "Key Code Pads refer to electronic devices used to control access." + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + "GEO" + "Community Center is a potential project that could use a predictive approach for construction and an adaptive approach for establishing senior services."<SEP>"The Community Center is a geographic location where various services and activities are offered." + chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-b27e2d8e58767f91bdf969368902884b + + + "EVENT" + "Meals on Wheels is a potential service that could be developed and deployed iteratively as part of the community center project." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "EVENT" + "Transportation Service is another potential service that could be developed and deployed iteratively as part of the community center project." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "EVENT" + "Caregiver Relief is a potential service that could be developed and deployed iteratively as part of the community center project." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "EVENT" + "Adult Day Care is a potential service that could be developed and deployed iteratively as part of the community center project." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "TECHNOLOGY" + "Adaptive Approach is a development method that involves iterative and incremental development, allowing for flexibility and change."<SEP>"An Adaptive Approach is a development approach that involves high uncertainty and volatility."<SEP>"The Adaptive Approach is a development method that is well-suited for projects with uncertain requirements and a changing scope."<SEP>"adaptive approach refers to a project management approach that is flexible and responsive to changing project requirements." + chunk-40190ed38fc930b560dfcd36d953bdf4<SEP>chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Hybrid Approach is a combination of predictive and adaptive approaches, using elements of both to suit the project needs."<SEP>"Hybrid Approach is a combination of two or more agile and nonagile elements, having a nonagile end result."<SEP>"Hybrid approach is a development approach that combines different methodologies or techniques."<SEP>"hybrid approach refers to a project management approach that combines elements of predictive and adaptive approaches." + chunk-40190ed38fc930b560dfcd36d953bdf4<SEP>chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "User Feedback is an important factor in adaptive approaches, allowing for refinement and change." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Environment refers to the context in which the project takes place."<SEP>"Environment refers to the external factors that can influence a project, such as market or regulatory changes." + chunk-b1eb1b308668b487160501574c3302cf<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Unexpected Events are unplanned occurrences that can impact a project, requiring adaptability." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Stakeholder Feedback is an important input for adaptive approaches, helping to refine and adjust the project." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Project Team Engagement is crucial in adaptive approaches, where the team determines the scope and work involved in each iteration." + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "CONCEPT" + "Backlog is a prioritized list of tasks or features to be developed in an adaptive approach."<SEP>"Backlog refers to a list of tasks or work to be done." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + "TECHNOLOGY" + "Predictive approach is a development approach that involves making predictions about the project's outcome."<SEP>"The Predictive Approach is a development method that is well-suited for projects with well-known requirements and a stable scope."<SEP>"predictive approach refers to a project management approach that uses historical data and statistical models to predict outcomes." + chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-40190ed38fc930b560dfcd36d953bdf4 + + + "EVENT" + "Feasibility is a phase in a project life cycle that determines if the business case is valid."<SEP>"Feasibility is a phase that determines if the business case is valid and if the organization has the capability to deliver the intended outcome." + chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "EVENT" + "Design is a phase in a project life cycle that involves planning and analysis."<SEP>"Design is a phase in the project life cycle that involves creating a plan and specifications for the project." + chunk-d0a571c3029dcad7172ddc1243d3b4ec<SEP>chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "CONCEPT" + "Scope Stability refers to the degree to which the project scope is stable and unlikely to change." + chunk-d0a571c3029dcad7172ddc1243d3b4ec + + + "EVENT" + "Predictive Life Cycle is a type of life cycle used in project management." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "EVENT" + "Incremental Development Approach is a type of development approach used in project management." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "EVENT" + "Adaptive Development Approach is a type of development approach used in project management." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "CONCEPT" + "Delivery Cadence refers to the frequency at which project deliverables are released." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "CONCEPT" + "A life cycle refers to the stages a project goes through from initiation to completion."<SEP>"Life Cycle refers to the sequence of phases in a project."<SEP>"Life Cycle refers to the stages of a project." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79<SEP>chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "EVENT" + "Build is a phase in a project life cycle that involves construction and quality assurance." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "EVENT" + "Test is a phase in a project life cycle that involves quality review and inspection." + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + + + "ORGANIZATION" + "Senior Services is an organization that provides services to seniors." + chunk-b27e2d8e58767f91bdf969368902884b + + + "ORGANIZATION" + "Community Action Patrol Training is an organization that offers training and services." + chunk-b27e2d8e58767f91bdf969368902884b + + + "TECHNOLOGY" + "The Website is a technological platform used for delivering information and services." + chunk-b27e2d8e58767f91bdf969368902884b + + + "CONCEPT" + "Development Approach and Life Cycle Performance Domain refers to the performance of development approaches and life cycles."<SEP>"Development Approach and Life Cycle Performance Domain refers to the way a project is managed, including the development approach and life cycle." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-b27e2d8e58767f91bdf969368902884b + + + "EVENT" + "Start Up is a phase in the community center project life cycle." + chunk-b27e2d8e58767f91bdf969368902884b + + + "EVENT" + "Table 2-5 is a table in the PMBOK Guide that lists outcomes and ways of checking them for different development approaches." + chunk-4749f4bcc3ee1012732c6a955e9ad8e6 + + + "CONCEPT" + "Planning Performance Domain is a category of activities and functions related to planning project work."<SEP>"Planning Performance Domain is a part of project management that involves organizing, elaborating, and coordinating project work."<SEP>"Planning Performance Domain is a process of planning and executing a project."<SEP>"Planning Performance Domain is a project management domain that involves planning and creating deliverables." + chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-8600675e79622a16e8b3a8f5e75972bf<SEP>chunk-4749f4bcc3ee1012732c6a955e9ad8e6<SEP>chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Vision Statement is a statement that describes the project's goals and objectives." + chunk-4749f4bcc3ee1012732c6a955e9ad8e6 + + + "ORGANIZATION" + "Regulatory agency refers to an organization that enforces laws and regulations." + chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Authorization refers to the permission or approval granted by a regulatory agency to proceed with a project." + chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Best practices refer to the methods or techniques that are widely accepted as being most effective in project management." + chunk-137068cba338c0f8f012e24211097459 + + + "TECHNOLOGY" + "Work breakdown structure (WBS + chunk-137068cba338c0f8f012e24211097459 + + + "CONCEPT" + "Effort is the number of labor units required to complete a schedule activity or work breakdown structure component, often expressed in hours, days, or weeks."<SEP>"Effort refers to the amount of work required to complete a task or project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "An activity is a task or action within a project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "CONCEPT" + "A dependency is a relationship between activities in a project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "CONCEPT" + "A lag is a delay of a successor activity in a project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "CONCEPT" + "A lead is where the work of a successor activity is accelerated in a project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "CONCEPT" + "A release is a collection of features and functionality in a project." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "EVENT" + "An iteration is a cycle of work in a project."<SEP>"Iteration is a timeboxed cycle of development where all work needed to deliver value is performed." + chunk-f26590633185039664a22449ce640bcd<SEP>chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "EVENT" + "An iteration plan is a high-level plan for a release in a project."<SEP>"Iteration Plan is a plan that outlines the tasks and features to be completed in each iteration."<SEP>"Iteration plan is a detailed plan for the current iteration." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81<SEP>chunk-09171466a88a728490c48ac838785d6c<SEP>chunk-c3d3dc993ee43b6e8defa62499696602 + + + "TECHNOLOGY" + "A figure is a visual representation of information in a document." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "TECHNOLOGY" + "An example is a demonstration or illustration of a concept or process." + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + "EVENT" + "Release Plan is a plan that outlines the features and functionality to be included in each release."<SEP>"Release plan sets expectations for the dates, features, and/or outcomes expected to be delivered." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-09171466a88a728490c48ac838785d6c + + + "EVENT" + "Timebox is a scheduling approach used in adaptive project management, where work is done in fixed periods."<SEP>"Timebox is a short, fixed period of time in which work is to be completed." + chunk-8a32b4e6bd2aec56246931d7c8d93e74<SEP>chunk-deae6fb3ccf5fe1684cdeb36bb26c517<SEP>chunk-09171466a88a728490c48ac838785d6c + + + "CONCEPT" + "A Project Schedule is an output of a schedule model that presents linked activities with planned dates, durations, milestones, and resources."<SEP>"A project schedule is a technology used in project management, outlining the timeline for a project."<SEP>"Project Schedule is a plan that outlines the timeline and milestones for a project."<SEP>"Project Schedule refers to the timeline for completing the project tasks."<SEP>"Project schedule refers to the timeline for completing the project tasks." + chunk-77d4591f212f2f117892d62813852861<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-09171466a88a728490c48ac838785d6c + + + "EVENT" + "Cost Baseline is a plan that outlines the budget and costs for a project."<SEP>"Cost Baseline is a version of the time-phased project budget, excluding management reserves." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-09171466a88a728490c48ac838785d6c + + + "EVENT" + "Contingency Reserve is a fund set aside to handle unexpected expenses or risks." + chunk-09171466a88a728490c48ac838785d6c + + + "CONCEPT" + "Management Reserve is a fund set aside for unexpected activities related to in-scope work."<SEP>"Management Reserve is an amount of project budget or schedule held for unforeseen work." + chunk-f26590633185039664a22449ce640bcd<SEP>chunk-09171466a88a728490c48ac838785d6c + + + "EVENT" + "Budget Build Up is a process that outlines the breakdown of a project budget." + chunk-09171466a88a728490c48ac838785d6c + + + "EVENT" + "Procurement refers to the process of acquiring goods, services, or works from external sources."<SEP>"Procurement refers to the process of obtaining goods or services from external sources, involving contracts and regulations." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "EVENT" + "Change Control Process is a process used to manage changes to the project."<SEP>"Change control process is a process for managing and controlling changes to the project scope, schedule, or budget." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-e3806018cbc410a756031760e6e43275 + + + "PERSON" + "Contracting professionals are responsible for managing procurement activities and contracts." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Goods refer to physical products or materials acquired through procurement." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Services refer to intangible products or benefits acquired through procurement." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Works refer to constructed or manufactured products acquired through procurement." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Logistics refers to the planning and coordination of physical resources and materials."<SEP>"Logistics refers to the planning and coordination of the movement and storage of goods, materials, and equipment." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Supply chain refers to the network of organizations, people, activities, information, and resources involved in producing and delivering a product or service." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Physical Resources include materials, supplies, and equipment needed for the project."<SEP>"Physical resources include materials, equipment, software, and other non-human resources required for project execution." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Materials refer to physical products or substances used in project execution." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Equipment refers to machinery, tools, and other physical assets used in project execution." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Test and evaluation processes are used to measure project performance and quality." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + "CONCEPT" + "Metrics are a technology used in project management, describing an attribute and how to measure it."<SEP>"Metrics are quantifiable measures used to evaluate project performance and quality."<SEP>"Metrics refer to the data or measurements used to evaluate project performance." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-ce54368cc03d7ca8aad29788b4623715 + + + "CONCEPT" + "Thresholds are the minimum or maximum values for metrics, used to determine project performance."<SEP>"Thresholds are used to evaluate the acceptability of project performance." + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2<SEP>chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Project Work Performance Domain is a concept in project management that interacts and enables other performance domains."<SEP>"Project Work Performance Domain is a concept that addresses activities and functions associated with establishing project processes, managing physical resources, and fostering a learning environment."<SEP>"Project Work Performance Domain is a concept that deals with the actual work of the project."<SEP>"Project Work Performance Domain is an organization that deals with project work."<SEP>"Project Work Performance Domain refers to the activities and tasks performed during the project life cycle."<SEP>"Project Work Performance Domain refers to the performance of project work."<SEP>"Project Work Performance Domain refers to the processes and activities involved in executing project work, including project delivery, development approach, and life cycle."<SEP>"The Project Work Performance Domain addresses activities and functions associated with establishing project processes, managing physical resources, and fostering a learning environment." + chunk-86461fb85086d50ab5b3eb2402d32acd<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d<SEP>chunk-29d5919417e1b3e84bdf25acd6b81886<SEP>chunk-77d4591f212f2f117892d62813852861<SEP>chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "CONCEPT" + "Performance Domain is a concept that addresses activities and functions associated with project performance."<SEP>"Performance Domain refers to the area of focus for measuring and evaluating project performance."<SEP>"Performance Domain refers to the area of project management where a specific model is likely to be used." + chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "Project Baselines are reference points used to measure project performance." + chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Measurement Metrics are used to evaluate project performance." + chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Performance Variance refers to the difference between actual and planned project performance." + chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Project Results refer to the outcomes of the project." + chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Project Plans are documents that outline the project scope, schedule, budget, and resources." + chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Project Documents are documents used to manage the project."<SEP>"Project documents are the written records and artifacts created during a project, including project plans, reports, and meeting minutes." + chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "CONCEPT" + "Change Logs are records of changes made to the project." + chunk-e3806018cbc410a756031760e6e43275 + + + "ORGANIZATION" + "Change Control Board guides change requests through the change control process."<SEP>"Change Control Board is a group responsible for managing changes to the project."<SEP>"Change control board is a meeting where decisions are made about changes to a project." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-e3806018cbc410a756031760e6e43275 + + + "CONCEPT" + "Project Scope is the work performed to deliver a product, service, or result with the specified features and functions."<SEP>"Project Scope refers to the features and functions that characterize a product, service, or result."<SEP>"Project Scope refers to the work that is included or excluded from the project."<SEP>"Project scope refers to the work that is included in the project." + chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "Project Budget refers to the financial resources allocated for the project." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Value-Adding Activities are tasks that create value for the customer or stakeholders." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Non-Value-Adding Activities are tasks that do not create value for the customer or stakeholders." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "TECHNOLOGY" + "Lean Production Methods are techniques used to eliminate waste and improve efficiency." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "TECHNOLOGY" + "Value Stream Mapping is a technique used to visualize and improve the flow of value-added activities."<SEP>"Value Stream Mapping is a technique used to visualize the work and identify areas for improvement."<SEP>"Value stream mapping documents, analyzes, and improves the flow of information or materials required to produce a product or service." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-3de41f370f20e19d789d5d250526c78a + + + "EVENT" + "Retrospectives are events that involve reviewing and reflecting on past experiences or events."<SEP>"Retrospectives are meetings held to review and improve the project process."<SEP>"Retrospectives are meetings or sessions where the project team reflects on their process and identifies areas for improvement." + chunk-ce54368cc03d7ca8aad29788b4623715<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Regulatory Codes are laws and regulations that must be followed during the project." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Quality Requirements are standards that must be met during the project." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "CONCEPT" + "Organizational Policies are rules and guidelines that govern the organization's behavior." + chunk-8ebf1268953234bb237421a02a4f65ac + + + "PERSON" + "Contracting Officer is an expert in contracts, laws, and regulations, and works with project managers on procurements." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "ORGANIZATION" + "Bidder refers to a vendor or supplier that submits a proposal or quote for a project." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "ORGANIZATION" + "Vendor is a supplier or contractor that provides goods or services to a project." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "TECHNOLOGY" + "Scope Baseline refers to the approved and documented scope of a project."<SEP>"Scope baseline is a technology used in project management to define and manage scope." + chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "CONCEPT" + "Scope Change refers to any modification to the scope of a project." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Project Backlog refers to the list of tasks and activities to be completed in a project." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Request for Information refers to a document used to gather information from vendors before sending out bid documents." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Request for Proposal refers to a document used for complex or complicated scopes where the buyer is looking for the vendor to provide a solution." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Request for Quote refers to a document used when price is the main deciding factor, and the proposed solution is readily available." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "EVENT" + "Bidder Conference is a meeting with prospective sellers prior to the preparation of a bid or proposal."<SEP>"Bidder Conference refers to a meeting between the buyer and bidders to respond to questions and provide clarifying information."<SEP>"Bidder conference is a meeting with prospective sellers to ensure a clear understanding of the procurement." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-ba05341a88ebf6f8724f5926d84460c1<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Master Agreement refers to a contract that outlines the terms and conditions for a project." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Appendix refers to a supplementary document that provides additional information or clarification." + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + "CONCEPT" + "Project Delivery Performance Domain is a concept in project management that addresses activities and functions associated with delivering the scope and quality of a project." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Knowledge Management is a concept that involves the processes and activities to manage and share knowledge within an organization."<SEP>"Knowledge Management refers to the process of creating, sharing, and utilizing knowledge within an organization." + chunk-29d5919417e1b3e84bdf25acd6b81886<SEP>chunk-ce54368cc03d7ca8aad29788b4623715 + + + "CONCEPT" + "Explicit Knowledge is a type of knowledge that can be readily codified and shared within an organization." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Tacit Knowledge is a type of knowledge that is challenging to express and is shared through personal connections and experiences." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Table 2-7 is a table that identifies outcomes and ways of checking them in the project work performance domain." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Efficient and effective project performance is a desired outcome of project work." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Project processes are the activities and tasks that are used to achieve project objectives."<SEP>"Project processes refer to the activities and tasks performed during the project life cycle." + chunk-29d5919417e1b3e84bdf25acd6b81886<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "Communication and engagement with stakeholders is a critical aspect of project management." + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + "CONCEPT" + "Requirements Management is the process of eliciting, documenting, and managing requirements." + chunk-130bfc37278bafc90298343494ac8632 + + + "TECHNOLOGY" + "Business Case Document is a technology that provides a business justification and a projection of anticipated business value from a project." + chunk-130bfc37278bafc90298343494ac8632 + + + "CONCEPT" + "Defect refers to a flaw or imperfection in a product or service." + chunk-130bfc37278bafc90298343494ac8632 + + + "TECHNOLOGY" + "Log is a document recording and describing selected items during process execution."<SEP>"Log refers to a record of events, actions, or transactions." + chunk-f26590633185039664a22449ce640bcd<SEP>chunk-130bfc37278bafc90298343494ac8632 + + + "TECHNOLOGY" + "Project Authorizing Document is a document that authorizes a project and provides a basis for decision-making." + chunk-130bfc37278bafc90298343494ac8632 + + + "TECHNOLOGY" + "Baselined Plan is a plan that has been formally approved and serves as a basis for project execution." + chunk-130bfc37278bafc90298343494ac8632 + + + "TECHNOLOGY" + "Roadmap is a high-level overview of a project's life cycle, major releases, key deliverables, and other top-level information." + chunk-130bfc37278bafc90298343494ac8632 + + + "PERSON" + "Business Analyst is a person responsible for eliciting and documenting requirements." + chunk-130bfc37278bafc90298343494ac8632 + + + "PERSON" + "Value Engineer is a person responsible for identifying and eliminating non-value-added activities." + chunk-130bfc37278bafc90298343494ac8632 + + + "DOCUMENT" + "A Scope Statement is a document that outlines the major deliverables and acceptance criteria for a project." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "DOCUMENT" + "A WBS is a hierarchical decomposition of the total scope of work to be carried out by the project team." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "EVENT" + "Agile charter is a document that outlines the principles and practices of Agile."<SEP>"An Agile Charter is a document that outlines the themes and objectives of an agile project." + chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-8600675e79622a16e8b3a8f5e75972bf + + + "DOCUMENT" + "A Product Hierarchy is a structure that represents the themes and components of a product." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Themes refer to large groups of customer value reflected as user stories associated by a common factor." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Epics are logical containers for large user stories that are too big to complete within an iteration." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Features refer to specific behaviors of a product, typically described as a short phrase or function." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "DOCUMENT" + "User Stories are brief descriptions of outcomes for specific users, which are promises for conversations to clarify details." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "ORGANIZATION" + "A Project Governance Body is a group responsible for overseeing and approving project changes." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "ROLE" + "An Executive Sponsor is a role that provides oversight and support for a project." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Completion Criteria refer to the conditions that must be met for a project to be considered complete." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Definition of Done is a checklist of criteria required to be met for a deliverable to be considered ready for customer use."<SEP>"Definition of Done refers to the criteria for accepting deliverables in project management." + chunk-ed7b2ffc76054358b5eb4482c46583e7<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Scope Creep refers to the phenomenon where additional scope or requirements are accepted without adjusting the corresponding schedule, budget, or resource needs." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "A Change Control System is a process for evaluating and approving changes to a project." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "ORGANIZATION" + "A Sponsoring Organization is an entity that provides financial and administrative support for a project." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "A Market refers to the environment in which a product or service is sold." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "ORGANIZATION" + "Competitors are organizations that offer similar products or services." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "DOCUMENT" + "Requirements Documentation is a document that outlines the project requirements." + chunk-ed7b2ffc76054358b5eb4482c46583e7 + + + "CONCEPT" + "Cost of Quality refers to the expenses associated with quality prevention and appraisal."<SEP>"Cost of quality includes all costs incurred over the life of the product by investment in preventing nonconformance to requirements." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc<SEP>chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "Prevention refers to the costs incurred to keep defects and failures out of a product." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "Appraisal refers to the costs incurred to determine the degree of conformance to quality requirements." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "Internal Failure refers to the costs associated with finding and correcting defects before the customer receives the product." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "External Failure refers to the costs associated with defects found after the customer has the product and with remediation." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "Cost of Change refers to the phenomenon where the later a defect is found, the more expensive it is to correct." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "CONCEPT" + "Boehm's Cost of Change Curve refers to a graphical representation of the cost of change over time." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "TECHNOLOGY" + "Figure 2-22 is a graphical representation of the cost of change curve." + chunk-6914c6ceb214ebf9b69000b8386f6402 + + + "TECHNOLOGY" + "Table 2-8 is a table in the PMBOK Guide that identifies outcomes and ways of checking them in the Delivery Performance Domain." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Outcome Check is a process of verifying whether a project has achieved its intended outcomes." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Business Objectives and Advancement of Strategy is a goal of projects, as mentioned in the PMBOK Guide." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Project Benefits Realization is the process of realizing the benefits of a project." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "TECHNOLOGY" + "Business Case and Underlying Data are used to determine whether a project is on track to realize its intended outcomes." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "TECHNOLOGY" + "Benefits Realization Plan is a plan for realizing the benefits of a project." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "TECHNOLOGY" + "Financial Metrics are used to measure the financial performance of a project." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Customer Acceptance Criteria are the standards that a project must meet to be accepted by the customer." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "Trade-Offs, Threats, Opportunities, and Options are factors that must be considered in project management." + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + "CONCEPT" + "KPIs are quantifiable measures used to evaluate the success of a project." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "Leading Indicators predict changes or trends in the project, and are used to identify potential performance variances." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "Lagging Indicators measure project deliverables or events, and provide information after the fact." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "SMART Criteria are characteristics of effective metrics, including Specific, Meaningful, Achievable, Relevant, and Timely." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "Deliverable Metrics are measures of the products, services, or results being delivered."<SEP>"Deliverable Metrics is a concept that refers to the measures used to evaluate the products, services, or results being delivered." + chunk-b1eb1b308668b487160501574c3302cf<SEP>chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Baselines are the established standards or targets for project performance." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "Forecasts are predictions or estimates of future project outcomes." + chunk-b1eb1b308668b487160501574c3302cf + + + "CONCEPT" + "Earned Value Management is a concept that helps to measure project performance by comparing earned value to planned value and actual cost."<SEP>"Earned Value Management is a method used to measure project performance and forecast future costs." + chunk-c0914a62e57140d9d3450d905d5b1dc1<SEP>chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Burn Rate is a concept that refers to the actual cost for labor or resources compared to the estimated cost." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Schedule Performance Index (SPI) is a concept that measures how efficiently the scheduled work is being performed." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Cost Performance Index (CPI) is a concept that measures how efficiently the work is being performed with regard to the budgeted cost of the work."<SEP>"Cost Performance Index (CPI) is a measure of the cost efficiency of budgeted resources expressed as the ratio of earned value to actual cost." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Resource Variance is a concept that evaluates price variance and usage variance in resource measurements." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Planned Value (PV) is a concept that represents the value of work that has been planned." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Actual Costs (AC) is a concept that represents the actual cost of work performed." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Earned Value (EV) is a concept that represents the value of work that has been completed."<SEP>"Earned Value (EV) is a measure of work performed expressed in terms of the budget authorized for that work." + chunk-c0914a62e57140d9d3450d905d5b1dc1<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Information on Errors or Defects is a metric that includes the source of defects, number of defects identified, and number of defects resolved." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Measures of Performance is a metric that characterizes physical or functional attributes relating to the system operation." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Technical Performance Measures is a metric that provides insights into progress in achieving the technical solution." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Work in Progress is a metric that indicates the number of work items that are being worked on at any given time." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Lead Time is a metric that indicates the amount of elapsed time from a story or chunk of work entering the backlog to the end of the iteration or the release." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Cycle Time is a metric that indicates the amount of time it takes the project team to complete a task."<SEP>"Cycle Time is the total elapsed time from the start of a particular activity or work item to its completion." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Queue Size is a metric that tracks the number of items in a queue." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Batch Size is a metric that measures the estimated amount of work expected to be completed in an iteration." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Process Efficiency is a metric that calculates the ratio between value-adding time and non-value-adding activities." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Section 2.7.2.2 is a part of the project performance domains guidebook that deals with delivery measurements." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "CONCEPT" + "Delivery Measurements is a concept that refers to the measures used to evaluate work in progress." + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + "TECHNOLOGY" + "Net Promoter Score is a metric used to measure stakeholder satisfaction." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Benefits realization plans are plans for achieving the benefits of a project." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Return on investment is a measure of the financial return on a project." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Net present value is a measure of the present value of inflows and outflows of capital." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Cost-benefit ratio is a measure of the expected present value of an investment." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Stakeholder satisfaction is a measure of the degree to which stakeholders are satisfied with a project." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Estimate to complete is a measure of the expected cost to finish all remaining project work." + chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f + + + "CONCEPT" + "Budget at Completion is a measure of the total budget for a project, used in earned value management." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Estimate at Completion is a forecast of the total cost of completing a project, used in earned value management." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "DOCUMENT" + "The Standard for Earned Value Management is a document that provides information on earned value management measures." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Earned Value is a measure of the value of work completed, used in earned value management." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Cost Performance Index is a measure of project efficiency, calculated by dividing earned value by actual cost." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Variance at Completion is a measure of the difference between budget at completion and estimate at completion." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "To-complete Performance Index is a measure of the cost performance required to meet a specified management goal." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Regression Analysis is a method used to develop a mathematical or statistical relationship between input variables and output results."<SEP>"Regression analysis is an analytical technique where a series of input variables are examined in relation to their corresponding output results." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc<SEP>chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Throughput Analysis is a method used to assess the number of items completed in a fixed time frame." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Dashboard is a set of charts and graphs showing progress or performance against important measures of the project."<SEP>"Dashboard is a visual display of information that shows project status and metrics." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-86bf58aeb66cf74473057a61493dd834 + + + "PERSON" + "Annie is a person mentioned in the context of a risk log."<SEP>"Annie is a team member." + chunk-86bf58aeb66cf74473057a61493dd834<SEP>chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "PERSON" + "Jim is a person mentioned in the context of a risk log."<SEP>"Jim is a team member." + chunk-86bf58aeb66cf74473057a61493dd834<SEP>chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "PERSON" + "Mark is a person mentioned in the context of a risk log."<SEP>"Mark is a team member." + chunk-86bf58aeb66cf74473057a61493dd834<SEP>chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "CONCEPT" + "Project Name is a concept used to identify a specific project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "High-Level Description is a concept used to describe a project's objectives." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Exec Sponsor is a concept used to identify the executive sponsor of a project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Start Date is a concept used to identify the start date of a project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Status is a concept used to describe the current status of a project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "PERSON" + "PM is a person mentioned as the project manager." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "End Date is a concept used to identify the end date of a project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Activity #1 is a concept used to identify a specific project activity." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Activity #2 is a concept used to identify a specific project activity." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Activity #3 is a concept used to identify a specific project activity." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "Concern is a concept used to identify potential issues or risks in a project." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "CONCEPT" + "On Track is a concept used to describe a project's status." + chunk-86bf58aeb66cf74473057a61493dd834 + + + "TECHNOLOGY" + "Burndown Chart is a type of chart used to track progress." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "TECHNOLOGY" + "Burnup Chart is a type of chart used to track progress." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "TECHNOLOGY" + "Kanban Board is a type of board used to track tasks."<SEP>"Kanban Board is a visualization tool that shows work in progress to help identify bottlenecks and optimize workflow." + chunk-f26590633185039664a22449ce640bcd<SEP>chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "TECHNOLOGY" + "Task Board is a type of board used to track tasks." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "TECHNOLOGY" + "Information Radiator is a type of visual control."<SEP>"Information Radiator is a visible, physical display that provides information to the rest of the organization, enabling timely knowledge sharing." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "EVENT" + "2.7.3.3 Visual Controls is a part of the PMBOK Guide." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "EVENT" + "2.7.4 MEASUREMENT PITFALLS is a part of the PMBOK Guide." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "CONCEPT" + "Hawthorne effect is a concept in project management." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "CONCEPT" + "Vanity metric is a concept in project management." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "CONCEPT" + "Demoralization is a concept in project management." + chunk-a0cd80fe6cfdb0202a7214e71a96fc25 + + + "CONCEPT" + "Exception Plan is a set of actions to be taken when a project metric exceeds a threshold." + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + "CONCEPT" + "Performance Metrics are measures used to evaluate project progress and success." + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + "CONCEPT" + "An opportunity is an event or condition that has a positive impact on project objectives."<SEP>"Opportunity refers to a potential benefit or chance for improvement in a project."<SEP>"Opportunity refers to a potential positive event or circumstance that may impact a project."<SEP>"Opportunity refers to potential outcomes that benefit the project objectives." + chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-c3d3dc993ee43b6e8defa62499696602 + + + "CONCEPT" + "Forecasting is the process of making predictions about future events."<SEP>"Forecasting is the process of predicting future project outcomes based on historical data and trends." + chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Evaluation is the process of assessing project performance and progress towards objectives." + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + "CONCEPT" + "Audit refers to the examination and verification of project data and reports." + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + "CONCEPT" + "Project Work refers to the tasks and activities performed by the project team to deliver the project outcomes."<SEP>"Project Work refers to the tasks and activities performed in a project."<SEP>"Project Work refers to the tasks and activities undertaken to achieve project objectives." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-4d26177fd7a4b5997a15397ff36405f5<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "CONCEPT" + "Project Status refers to the current state of a project, including its progress and performance." + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + "CONCEPT" + "A threat is an event or condition that has a negative impact on project objectives."<SEP>"Threat refers to a potential negative event or circumstance that may impact a project."<SEP>"Threat refers to potential outcomes that have a negative effect on project objectives." + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc<SEP>chunk-c3d3dc993ee43b6e8defa62499696602 + + + "CONCEPT" + "Economic factors such as volatility in prices, availability of resources, ability to borrow funds, and inflation/deflation contribute to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Technical considerations such as new or emerging technology, complexity associated with systems, and interfaces contribute to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Legal or legislative constraints or requirements contribute to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Physical environment as it pertains to safety, weather, and working conditions contributes to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Social and market influences shaped by opinion and media contribute to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Political influences, either external or internal to the organization, contribute to project uncertainty." + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + "CONCEPT" + "Conceptual Ambiguity refers to a lack of effective understanding due to unclear definitions." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Situational Ambiguity refers to multiple possible outcomes, often due to multiple options." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Progressive Elaboration is a process of increasing the level of detail in a project management plan." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Experiment is a process of identifying cause-and-effect relationships or reducing ambiguity." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "A Prototype is a working model used to obtain early feedback on the expected product before actually building it."<SEP>"Prototype is a process of distinguishing relationships between variables." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "PROCESS" + "Decoupling is a process of disconnecting parts of a system to simplify it." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Simulation is a process of using similar scenarios to understand a system."<SEP>"Simulation is an analytical method that models the combined effect of uncertainties to evaluate their potential impact on objectives." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Diversity is a process of viewing a system from diverse perspectives." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Balance is a process of using a variety of data to provide a broader perspective." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Iterate is a process of building incrementally and identifying what works and what doesn't." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "PROCESS" + "Engage is a process of building in opportunities for stakeholder engagement." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Threats are events or conditions that have a negative impact on project objectives."<SEP>"Threats are negative risks that have a potential negative effect on project objectives." + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Opportunities are events or conditions that have a positive impact on project objectives."<SEP>"Opportunities are positive risks that have a potential positive effect on project objectives." + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Volatility refers to rapid and unpredictable change in an environment." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Alternatives Analysis is a method used to evaluate identified options."<SEP>"Alternatives Analysis is a process of evaluating different options to achieve a project objective."<SEP>"Alternatives analysis is a process of evaluating different options." + chunk-11a654df40b9e34ab6b0e53be6ce4862<SEP>chunk-f90813fa1ecc7a0cb8bba805a81bbf9c<SEP>chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Cost Reserve refers to a budget set aside to cover unexpected costs." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Schedule Reserve refers to a buffer set aside to manage delays." + chunk-f90813fa1ecc7a0cb8bba805a81bbf9c + + + "CONCEPT" + "Risk thresholds are the limits of acceptable risk exposure, reflecting an organization's risk appetite." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Risk impact levels refer to the potential consequences of a risk on a project." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Avoidance is a risk response strategy that aims to eliminate or reduce the likelihood of a threat." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Escalation is a risk response strategy that involves transferring ownership of a risk to another party." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Transfer is a risk response strategy that involves shifting ownership of a risk to another party." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Mitigation is a risk response strategy that aims to reduce the impact of a threat." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Acceptance is a risk response strategy that involves acknowledging a risk without taking proactive action." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Exploitation is a risk response strategy that aims to maximize the benefits of an opportunity." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Sharing is a risk response strategy that involves allocating ownership of an opportunity to another party." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Enhancement is a risk response strategy that aims to increase the likelihood or impact of an opportunity." + chunk-4ad34b4364c38715068dd353f3620bcb + + + "CONCEPT" + "Budget is the approved estimate for a project or any work breakdown structure component."<SEP>"Budget refers to the approved estimate for a project or work breakdown structure component."<SEP>"Budget refers to the financial plan for a project."<SEP>"Budget refers to the financial resources allocated for a project or product." + chunk-6c88d19dbcd069cdd903055e606dac2c<SEP>chunk-d84381cb1a6bb747258ff8849d668845<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Reserve refers to a budget or time set aside to account for risks or uncertainty." + chunk-6c88d19dbcd069cdd903055e606dac2c + + + "CONCEPT" + "A delivery approach refers to the methods and techniques used to deliver a project's outcomes."<SEP>"Delivery approach refers to the method or strategy used to deliver a project." + chunk-dc8059d6f260b421b479101a38a30657<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "Project size refers to the scope and scale of a project."<SEP>"Project size refers to the scope, complexity, and scale of a project." + chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + "CONCEPT" + "suitability filter is a tool used to determine the most suitable project management approach based on project characteristics." + chunk-40190ed38fc930b560dfcd36d953bdf4 + + + "ORGANIZATION" + "PMO is a management structure that standardizes the project-related governance processes and facilitates the sharing of resources, methodologies, tools, and techniques."<SEP>"PMO is an office within an organization that oversees and coordinates project management activities."<SEP>"PMO is an organization that oversees and coordinates project management activities."<SEP>"Project management office (PMO) is a department that oversees and guides project management within an organization, providing benefits realization and key capabilities." + chunk-34b346c878ea1d57fb2ff4f6c484eb69<SEP>chunk-554ad5a189000609af98f86d63cf41ff<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "ORGANIZATION" + "VDO is an office within an organization that focuses on coaching project teams and building adaptive skills."<SEP>"Value Delivery Office (VDO + chunk-deae6fb3ccf5fe1684cdeb36bb26c517<SEP>chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Product/Deliverable refers to the output or outcome of a project." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Approval refers to the process of giving permission or consent for a project or activity."<SEP>"Approval refers to the process of obtaining consent or validation from relevant parties." + chunk-3de41f370f20e19d789d5d250526c78a<SEP>chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Process governance refers to the management and oversight of project processes." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Project criticality refers to the level of importance or urgency of a project." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Organizational maturity refers to the level of development or sophistication of an organization." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Industry market refers to the sector or market in which a project operates." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Technology refers to the tools, systems, or processes used in a project." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Time frame refers to the duration or schedule of a project." + chunk-554ad5a189000609af98f86d63cf41ff + + + "CONCEPT" + "Incremental delivery refers to the process of delivering a project in stages or increments." + chunk-554ad5a189000609af98f86d63cf41ff + + + "EVENT" + "Section 3 – Tailoring is a part of the PMBOK Guide that discusses tailoring the approach to fit the project context." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Figure 3-5 is a visual representation of tailoring the approach for the project." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Figure 3-6 is a visual representation of implementing ongoing improvement." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Figure 3-7 is a visual representation of the tailoring process." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Figure 3-8 is a visual representation of tailoring to fit the project context." + chunk-dc8059d6f260b421b479101a38a30657 + + + "EVENT" + "Tailoring the Performance Domains is a part of the project management process." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Tools refer to the equipment, software, or resources used to support project management." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Communication technology refers to the methods or systems used to share information with stakeholders." + chunk-dc8059d6f260b421b479101a38a30657 + + + "TECHNOLOGY" + "Kanban Boards are used to visualize work, identify issues, and propose solutions." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Decision refers to the process of making choices or selections." + chunk-3de41f370f20e19d789d5d250526c78a + + + "TECHNOLOGY" + "Table 3-1 is a table in the PMBOK Guide that lists common situations and suggested tailoring solutions." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Situations refer to specific circumstances or scenarios that require tailored project management approaches." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Tailoring Solutions refer to the specific actions or adjustments made to project management approaches to suit the needs of a project." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Approvals refer to the process of obtaining consent or validation from relevant parties." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Decisions refer to the process of making choices or selections." + chunk-3de41f370f20e19d789d5d250526c78a + + + "CONCEPT" + "Feedback Loops refer to the process of sharing information or opinions about the project." + chunk-3de41f370f20e19d789d5d250526c78a + + + "TECHNOLOGY" + "The Device is a technology mentioned in the context of the PMI Seventh Edition."<SEP>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."<SEP>"The Device is not mentioned in the provided text." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "MISSION" + "Operation: Dulce is a mission or project that is mentioned in the text."<SEP>"Operation: Dulce is an event mentioned in the context of the PMI Seventh Edition."<SEP>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."<SEP>"Operation: Dulce is described as a mission that has evolved to interact and prepare." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8<SEP>chunk-8b22d70fb5bd3854865a95c3f4a5fa5a + + + "CONCEPT" + "Control is a concept mentioned in the context of the PMI Seventh Edition."<SEP>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "CONCEPT" + "Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."<SEP>"Intelligence is a concept mentioned in the context of the PMI Seventh Edition." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-2853580e836d3f165e03ba441daa582f<SEP>chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + "ORGANIZATION" + "Ken Blanchard’s Situational Leadership II is a model that measures project team member development using competence and commitment as the two main variables." + chunk-b35b0201c9783a967d199079a33694e3 + + + "PERSON" + "Karen Whittleworth and Andrew Gilbert are the developers of the OSCAR coaching and mentoring model." + chunk-b35b0201c9783a967d199079a33694e3 + + + "ORGANIZATION" + "OSCAR Model is a coaching and mentoring model that helps individuals adapt their coaching or leadership styles to support individuals who have an action plan for personal development." + chunk-b35b0201c9783a967d199079a33694e3 + + + "CONCEPT" + "Situation enables conversation about the current skills, abilities, and knowledge level of the project team member." + chunk-b35b0201c9783a967d199079a33694e3 + + + "CONCEPT" + "Choices/consequences identify all the potential avenues for attaining the desired outcome and the consequences of each choice." + chunk-b35b0201c9783a967d199079a33694e3 + + + "CONCEPT" + "Actions commit to specific improvements by focusing on immediate and attainable targets." + chunk-b35b0201c9783a967d199079a33694e3 + + + "CONCEPT" + "Review holds regular meetings to offer support and ensure that individuals remain motivated and on track." + chunk-b35b0201c9783a967d199079a33694e3 + + + "ORGANIZATION" + "Cross-Cultural Communication is a model developed by Browaeys and Price that incorporates the idea that the message itself and how it is transmitted is influenced by the sender’s current knowledge, experience, language, thinking, and communication styles." + chunk-b35b0201c9783a967d199079a33694e3 + + + "PERSON" + "Alistair Cockburn developed a model that describes the communication channels along the axes of effectiveness and richness." + chunk-b35b0201c9783a967d199079a33694e3 + + + "PERSON" + "Frederick Herzberg is a researcher who conducted a study on motivational factors in working life." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "Daniel Pink is a researcher who published books about intrinsic factors that motivate people." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "David McClellan is a researcher who developed a model stating that people are driven by needs of achievement, power, and affiliation." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "Douglas McGregor is a researcher who devised the Theory X and Theory Y models of employee motivation." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "Abraham Maslow is a researcher who saw Theory Z as a transcendent dimension to work where individuals are motivated by self-realization, values, and a higher calling." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "William Ouchi is a researcher who focused on motivating employees by creating a job for life where the focus is on the well-being of employees and their families." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "Jeff Hiatt developed the ADKAR Model, which focuses on five sequential steps that individuals undergo when adapting to change."<SEP>"Jeff Hiatt is a researcher who developed the ADKAR Model for change management." + chunk-666440a3fd9e5eb6c8f659f784faab5a<SEP>chunk-abb28340b681cd5f91f85666a3a8f805 + + + "CONCEPT" + "Herzberg's Model describes motivational factors that include matters related to the content of the work, such as achievement, growth, and advancement." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "CONCEPT" + "Intrinsic Motivation refers to factors that motivate people from within, such as autonomy, mastery, and purpose." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "CONCEPT" + "Extrinsic Motivation refers to factors that motivate people from outside, such as salary and extrinsic rewards." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "CONCEPT" + "Theory X assumes individuals work for the sole purpose of income and are not ambitious or goal-oriented."<SEP>"Theory X is a concept related to motivation models." + chunk-abb28340b681cd5f91f85666a3a8f805<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d + + + "CONCEPT" + "Theory Y assumes individuals are intrinsically motivated to do good work and are encouraged by a personal coaching feel." + chunk-abb28340b681cd5f91f85666a3a8f805 + + + "PERSON" + "John Kotter introduced the 8-Step Process for Leading Change for transforming organizations." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "PERSON" + "Virginia Satir developed a model of how people experience and cope with change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The ADKAR Model is a framework for adapting to change, consisting of five sequential steps." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The 8-Step Process for Leading Change is a top-down approach for transforming organizations." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The Virginia Satir Change Model helps project team members understand what they are feeling and enable them to move through change more efficiently." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The Transition Model explains the psychological process of change, with stages of ending, neutral zone, and new beginning."<SEP>"The Transition Model provides an understanding of what occurs to individuals psychologically when an organizational change takes place." + chunk-666440a3fd9e5eb6c8f659f784faab5a<SEP>chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "Late status quo is the initial stage of change, characterized as 'business as usual' and often feeling stale or boring." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The foreign element is a shift in the status quo that introduces change to people's usual way of working." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Chaos is a stage of change where people are in unfamiliar territory, feeling anxious, shut down, or excited." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "The transforming idea is a point where people come up with an idea that helps them make sense of the situation." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Practice and integration is the stage where people try to implement their new ideas or behaviors." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Individuals are the people who undergo change and transition." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Organizational change refers to the process of changing the structure, policies, or procedures of an organization." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Status quo refers to the current state of affairs, which can be characterized as 'business as usual'." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Urgency refers to the need for and approach to change, which originates at the top levels of an organization." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Coalition refers to a group of influential people from various roles, expertise, social, and political importance who lead change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Vision refers to a brief statement that summarizes the change and its values." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Strategy refers to a plan to realize the vision and achieve the desired change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Obstacles refer to the challenges and barriers that hinder the change process." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Short-term wins refer to the quick and easy successes that build momentum and support for the change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Corporate culture refers to the values, norms, and practices that are ingrained in an organization." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Model refers to a framework or structure that helps understand and manage change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "CONCEPT" + "Steps refer to the sequential actions or phases that individuals undergo when adapting to change." + chunk-666440a3fd9e5eb6c8f659f784faab5a + + + "PERSON" + "William Bridges is a person who developed the Transition Model, a framework for understanding psychological change." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "PERSON" + "Dave Snowden is a person who created the Cynefin framework, a conceptual model for decision-making." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "PERSON" + "Ralph Stacey is a person who developed the Stacey matrix, a model for determining project complexity." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "PERSON" + "Bruce Tuckman is a person who articulated the stages of team development in the Tuckman Ladder." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "The Cynefin framework is a conceptual model used to diagnose cause-and-effect relationships and aid decision-making." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "The Stacey matrix is a model for determining project complexity based on uncertainty and technology." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "The Tuckman Ladder is a model for understanding team development, with stages from forming to adjourning." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "CONCEPT" + "Ending is the first stage of the Transition Model, where the change is introduced." + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + "PERSON" + "Allan Drexler is a person who developed a team performance model with David Sibbet." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "PERSON" + "David Sibbet is a person who developed a team performance model with Allan Drexler." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "PERSON" + "Ken Thomas is a person who developed a model for addressing conflict." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "PERSON" + "Ralph Kilmann is a person who developed a model for addressing conflict." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "CONCEPT" + "The Drexler/Sibbet team performance model describes the stages of team development." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "CONCEPT" + "Team development refers to the process of building and improving a team." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "CONCEPT" + "Team performance refers to the effectiveness of a team in achieving its goals." + chunk-13edbc411f025b75a6768a4f52e9502a + + + "PERSON" + "Barry Boehm is a person who developed a model for planning that compares time and effort invested in developing plans to reduce risk." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "PERSON" + "Steven Covey is a person who developed the principle of 'Think Win-Win', a model for negotiation." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "TECHNOLOGY" + "PMBOK Guide is a widely used reference for project management that outlines various models, methods, and artifacts." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "TECHNOLOGY" + "Section 4 – Models, Methods, and Artifacts is a part of the PMBOK Guide that deals with various models, methods, and artifacts in project management."<SEP>"Section 4 – Models, Methods, and Artifacts is a part of the PMBOK Guide that discusses various project management models, methods, and artifacts." + chunk-dfd5336b58d31fea2e0afcb60387f69c<SEP>chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "Win-win is a concept in negotiation where all parties involved are satisfied with the outcome." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Win-lose/lose-win is a concept in negotiation where one party wins and the other loses, or one party chooses to lose so that others can win." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Lose-lose is a concept in negotiation where all parties involved end up worse off." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Character refers to the qualities or traits of individuals involved in a negotiation." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Approach refers to the way in which parties interact and communicate with each other during a negotiation." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Forcing is a negotiation approach where one party imposes their will on the other party." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Smoothing/accommodating is a negotiation approach where parties work together to find a mutually beneficial solution." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "CONCEPT" + "Withdrawal/avoiding is a negotiation approach where parties withdraw from the negotiation or avoid conflict." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "EVENT" + "Initiating is a process group in project management that involves defining a new project or phase." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "EVENT" + "Executing is a process group in project management that involves completing the work defined in the project management plan." + chunk-dfd5336b58d31fea2e0afcb60387f69c + + + "PERSON" + "Ronald K. Mitchell is a person who proposed the Salience Model, a stakeholder identification model." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "PERSON" + "Bradley R. Agle is a person who co-authored the Salience Model." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "PERSON" + "Donna J. Wood is a person who co-authored the Salience Model." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "The Salience Model is a stakeholder identification model that considers power, legitimacy, and urgency." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "Models are frameworks or structures used in project management to organize and understand complex information." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "Methods are techniques or approaches used in project management to achieve specific outcomes." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "Constraints are limiting factors that affect the execution of a project." + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + "CONCEPT" + "Business justification analysis methods are a group of analysis methods used to justify a project or decision." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Payback period is the time needed to recover an investment." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Internal rate of return (IRR) is the projected annual yield of a project investment." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Return on investment (ROI) is the percent return on an initial investment." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Net present value (NPV) is the future value of expected benefits, expressed in the value those benefits have at the time of investment." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Check sheet is a tally sheet used as a checklist when gathering data."<SEP>"Check sheet is a type of checklist used for quality control." + chunk-a7ca9a9f6e2f50b821296aa0990e0144<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Decision Tree Analysis is a diagramming and calculation method for evaluating the implications of a chain of multiple options in the presence of uncertainty."<SEP>"Decision tree analysis is a diagramming and calculation method for evaluating the implications of a chain of multiple options in the presence of uncertainty." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Earned value analysis is a method that utilizes a set of measures associated with scope, schedule, and cost to determine the cost and schedule performance of a project." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Expected monetary value (EMV) is the estimated value of an outcome expressed in monetary terms." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Forecast is an estimate or("entity" + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Quantitative forecasting uses models where past information is used to predict future performance." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Qualitative forecasting methods use the opinions and judgments of subject matter experts." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Causal or econometric forecasting identifies variables that can have significant impact on future outcomes." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Probability and impact matrix is a grid for mapping the probability of occurrence of each risk and its impact on project objectives." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Process analysis is a systematic review of the steps and procedures to perform an activity." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Root cause analysis is used to determine the basic underlying cause of a variance, defect, or a risk." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Sensitivity Analysis is an analysis method to determine which individual project risks or other sources of uncertainty have the most potential impact on project outcomes."<SEP>"Sensitivity analysis is used to determine which individual project risks or other sources of uncertainty have the most potential impact on project outcomes." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Simulations use models to show the combined effect of uncertainties in order to evaluate their potential impact on objectives." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Monte Carlo simulation is a method of identifying the potential impacts of risk and uncertainty using multiple iterations of a computer model." + chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "SWOT analysis assesses an organization's strengths, weaknesses, opportunities, and threats."<SEP>"SWOT analysis assesses the strengths, weaknesses, opportunities, and threats of an organization, project, or option." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-15d3a52fd3a7c88c352533bd3dd5d6cc + + + "CONCEPT" + "Trend Analysis is an analytical method that uses mathematical models to forecast future outcomes based on historical results."<SEP>"Trend analysis uses mathematical models to forecast future outcomes based on historical results." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Variance analysis is used to determine the cause and degree of difference between the baseline and actual performance." + chunk-203c062b3c9df78dc17fa3d4cd8a7765 + + + "CONCEPT" + "What-if scenario analysis evaluates scenarios to predict their effect on project objectives." + chunk-203c062b3c9df78dc17fa3d4cd8a7765 + + + "EVENT" + "Backlog refinement is a meeting where the backlog is elaborated and prioritized." + chunk-203c062b3c9df78dc17fa3d4cd8a7765 + + + "EVENT" + "Daily Standup is a brief, daily collaboration meeting in which the team reviews progress from the previous day, declares intentions for the current day, and highlights any obstacles encountered or anticipated."<SEP>"Daily standup is a brief meeting where the project team reviews progress and declares intentions." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "EVENT" + "Iteration planning is a meeting to clarify details of the backlog items and work effort required." + chunk-203c062b3c9df78dc17fa3d4cd8a7765 + + + "EVENT" + "Iteration Review is a meeting held at the end of an iteration to demonstrate work accomplished."<SEP>"Iteration review is a meeting to demonstrate work accomplished during an iteration." + chunk-203c062b3c9df78dc17fa3d4cd8a7765<SEP>chunk-f26590633185039664a22449ce640bcd + + + "EVENT" + "Lessons learned meeting is used to identify and share knowledge gained during a project." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Planning meeting is used to create, elaborate, or review a plan or plans." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Project closeout meeting is used to obtain final acceptance of the delivered scope." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "A Project Review is an event at the end of a phase or project to assess the status, evaluate the value delivered, and determine if the project is ready to move to the next phase or transition to operations."<SEP>"Project review meeting is an event at the end of a phase or a project to assess the status." + chunk-8a32b4e6bd2aec56246931d7c8d93e74<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Release planning meetings identify a high-level plan for releasing or transitioning a product." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Retrospective is a workshop to explore work and results to improve process and product."<SEP>"Retrospective is a workshop where participants explore their work and results to improve both process and product." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Risk Review is the process of analyzing the status of existing risks and identifying new risks."<SEP>"Risk review meeting is used to analyze the status of existing risks and identify new risks." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Status meeting is a regularly scheduled event to exchange and analyze information about project progress." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "EVENT" + "Steering committee is a meeting where senior stakeholders provide direction and support to the project team." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "TECHNOLOGY" + "Impact Mapping is a strategic planning method that serves as a visual roadmap for the organization during product development."<SEP>"Impact mapping is a strategic planning method that serves as a visual roadmap for the organization." + chunk-8a32b4e6bd2aec56246931d7c8d93e74<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "TECHNOLOGY" + "Modeling is the process of creating simplified representations of systems or solutions." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "TECHNOLOGY" + "Net Promoter Score is an index that measures customer satisfaction and loyalty." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "TECHNOLOGY" + "Prioritization schema are methods used to prioritize components, requirements, or product information." + chunk-8a32b4e6bd2aec56246931d7c8d93e74 + + + "DOCUMENT" + "The Project Manager's Guide, also known as the PMBOK Guide, is a document that provides a framework for project management." + chunk-f459e762482aee7e7573a73fe673e666 + + + "DOCUMENT" + "A project plan is a document that outlines the scope, schedule, budget, and resources required to complete a project." + chunk-f459e762482aee7e7573a73fe673e666 + + + "ORGANIZATION" + "The Project Manager's Team is a group of individuals working together to support the Project Manager in managing a project." + chunk-f459e762482aee7e7573a73fe673e666 + + + "DOCUMENT" + "A Project Vision Statement is a concise, high-level description of the project that states the purpose and inspires the team to contribute to the project."<SEP>"A project vision statement is a concise, high-level description of the project that states the purpose and inspires the project team to contribute to the project."<SEP>"Project vision statement is a document that outlines the project's goals and objectives." + chunk-f459e762482aee7e7573a73fe673e666<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "DOCUMENT" + "A project roadmap is a document that provides a high-level timeline that depicts milestones, significant events, reviews, and decision points." + chunk-f459e762482aee7e7573a73fe673e666 + + + "CONCEPT" + "A business model canvas is a one-page visual summary that describes the value proposition, infrastructure, customers, and finances."<SEP>"Business Model Canvas is a one-page, visual summary that describes the value proposition, infrastructure, customers, and finances." + chunk-f459e762482aee7e7573a73fe673e666<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "ORGANIZATION" + "Risk-adjusted backlog is a type of backlog that includes work and actions to address threats and opportunities." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "CONCEPT" + "Risk Register is a repository for recording outputs of risk management processes."<SEP>"Risk register is a repository in which outputs of risk management processes are recorded."<SEP>"Risk register is a technology used in project management to track and monitor risks." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "CONCEPT" + "Stakeholder Register is a document that lists all the stakeholders of a project."<SEP>"Stakeholder register records information about project stakeholders." + chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Change control plan is a component of the project management plan that establishes the change control board." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Communications management plan describes how information about the project will be administered and disseminated." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Cost Management Plan is a component of a project or program management plan that describes how costs will be planned, structured, and controlled."<SEP>"Cost management plan describes how costs will be planned, structured, and controlled." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Procurement management plan describes how a project team will acquire goods and services." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "A Project Management Plan is the document that describes how the project will be executed, monitored and controlled, and closed."<SEP>"Project Management Plan is a document that outlines how a project will be managed."<SEP>"Project management plan is a comprehensive document that outlines the project scope, schedule, budget, and resources, serving as an overarching plan for project execution."<SEP>"Project management plan is a document that describes how the project will be executed, monitored and controlled, and closed." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "ORGANIZATION" + "A Quality Management Plan is a component of the project or program management plan that describes how applicable policies, procedures, and guidelines will be implemented to achieve the quality objectives."<SEP>"Quality management plan describes how applicable policies, procedures, and guidelines will be implemented." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "ORGANIZATION" + "Requirements management plan describes how requirements will be analyzed, documented, and managed." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "TECHNOLOGY" + "Resource management plan describes how project resources are acquired, allocated, monitored, and controlled."<SEP>"Resource management plan is a technology used in project management to allocate and manage resources." + chunk-c3d3dc993ee43b6e8defa62499696602<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "ORGANIZATION" + "Project activities refer to the tasks and work to be done on a project." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Organizational units refer to the departments or teams within an organization that will perform project activities." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Project organization refers to the structure of the project team and its relationships with stakeholders." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Components refer to the individual parts of a product." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Resource refers to the people, materials, or equipment needed to complete a project." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Milestone refers to a significant event or point in a project schedule." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "ORGANIZATION" + "Performance measurement baseline refers to the approved version of a work product or plan." + chunk-c3d3dc993ee43b6e8defa62499696602 + + + "CONCEPT" + "Agreements and Contracts refer to documents or communications that define the intentions of the parties involved in a project." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "Risk Report is a document that summarizes information on individual project risks and the level of overall project risk."<SEP>"Risk Report is a project document that summarizes information on individual project risks and the level of overall project risk."<SEP>"Risk report is a technology used in project management to communicate risk information." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-7e729eeb9b7010fa75aac4845f5ea366<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "DOCUMENT" + "Quality Report is a project document that includes quality management issues, recommendations for corrective actions, and a summary of findings from quality control activities." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Status Report is a document that provides a report on the current status of the project." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "A Project Schedule Network Diagram is a graphical representation of the logical relationships among the project schedule activities."<SEP>"Project Schedule Network Diagram is a graphical representation that shows the logical relationships among the project schedule activities." + chunk-7e729eeb9b7010fa75aac4845f5ea366<SEP>chunk-97413340bcb726905c8f4fc6310f963a + + + "DOCUMENT" + "Responsibility Assignment Matrix (RAM) is a grid that shows the project resources assigned to each work package." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Value Stream Map is a lean enterprise method used to document, analyze, and improve the flow of information or materials required to produce a product or service for a customer." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Velocity Chart is a chart that tracks the rate at which the deliverables are produced, validated, and accepted within a predefined interval." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "Work Breakdown Structure (WBS) is a hierarchical decomposition of the project scope into smaller, more manageable tasks." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "WBS Dictionary is a document that provides a detailed description of the Work Breakdown Structure (WBS) and its associated tasks." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "Change Control Procedures are formal procedures used to manage changes to the project scope, schedule, or budget." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "Visual Data and Information refers to the use of visual aids such as charts, graphs, and diagrams to present data and information." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Affinity Diagram is a visual representation of ideas grouped into categories for review and analysis."<SEP>"An Affinity Diagram is a diagram that shows large numbers of ideas classified into groups." + chunk-7e729eeb9b7010fa75aac4845f5ea366<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "DOCUMENT" + "Burndown/Burnup Chart is a graphical representation of the work remaining or completed in a timebox." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Cause-and-Effect Diagram is a visual representation that helps identify the root cause of a problem." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Cumulative Flow Diagram (CFD) is a chart that shows the features completed over time." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Cycle Time Chart is a diagram that shows the average cycle time of the work items completed over time."<SEP>"Cycle Time Chart is a diagram that shows the average cycle time of work items completed over time." + chunk-4152d90c2ab979b9f5b85dad6eba8668<SEP>chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Dashboards are a set of charts and graphs that show progress or performance against important measures." + chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "DOCUMENT" + "Flowchart is a diagram that depicts the inputs, process actions, and outputs of one or more processes within a system."<SEP>"Flowchart is a diagram that shows the flow of a process." + chunk-7e729eeb9b7010fa75aac4845f5ea366<SEP>chunk-86461fb85086d50ab5b3eb2402d32acd + + + "DOCUMENT" + "Gantt Chart is a bar chart that provides schedule information."<SEP>"Gantt chart refers to a visual representation of project timelines." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-7e729eeb9b7010fa75aac4845f5ea366 + + + "CONCEPT" + "An agreement is a concept in project management, referring to a mutually binding understanding between parties." + chunk-0b9b64e1de90c504763ea89d2acc71f6 + + + "TECHNOLOGY" + "RFI is a technology used in project management, used to request information from prospective sellers." + chunk-0b9b64e1de90c504763ea89d2acc71f6 + + + "TECHNOLOGY" + "RFQ is a technology used in project management, used to request quotations from prospective sellers."<SEP>"Request for quotation (RFQ) refers to a document that solicits quotes from potential vendors or contractors." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "TECHNOLOGY" + "RFP is a technology used in project management, used to request proposals from prospective sellers."<SEP>"Request for proposal (RFP) refers to a document that solicits proposals from potential vendors or contractors." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-77d4591f212f2f117892d62813852861 + + + "TECHNOLOGY" + "A project calendar is a technology used in project management, identifying working days and shifts for scheduled activities."<SEP>"Project Calendar is a calendar that identifies working days and shifts that are available for scheduled activities."<SEP>"Project calendar is a schedule that outlines the project timeline, milestones, and deadlines." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-34b346c878ea1d57fb2ff4f6c484eb69<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47 + + + "TECHNOLOGY" + "A user story is a technology used in project management, describing an outcome for a specific user."<SEP>"User Story is a brief description of an outcome for a specific user, which is a promise for a conversation to clarify details." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "TECHNOLOGY" + "An Activity List is a documented tabulation of schedule activities."<SEP>"An activity list is a technology used in project management, providing a tabulation of schedule activities." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Bid Documents are all documents used to solicit information, quotations, or proposals from prospective sellers."<SEP>"Bid documents are a technology used in project management, used to request proposals from prospective sellers." + chunk-0b9b64e1de90c504763ea89d2acc71f6<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "PERSON" + "Cynthia Snyder Dionisio is a chair of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Michael Griffiths is a cochair of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Nicholas Clemens is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Jean Luc Favrot is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Jesse Fewell is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Emily Jingjing Hu is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Betsy Kauffman is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Nader K. Rad is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Giampaolo Marucci is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Klaus Nielsen is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Maria Specht is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Maricarmen Suarez is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "PERSON" + "Laurent Thomas is a member of the PMBOK Guide – Seventh Edition Development Team." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Artifact refers to a document or tool used in project management." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Dev Approach refers to the development approach used in a project." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Measurement refers to the process of tracking and evaluating project progress." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Baseline Artifacts refer to the documents or tools used to track project progress." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Visual Data and Information Artifacts refer to the visual representations of project data." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Hierarchy Chart is a chart that begins with high-level information that is progressively decomposed into lower levels of detail."<SEP>"Hierarchy Chart refers to a visual representation of project organization." + chunk-fb80513350cb9e632e2a0000eb3ad6c7<SEP>chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Schedule management plan refers to the plan for managing project timelines." + chunk-fb80513350cb9e632e2a0000eb3ad6c7 + + + "CONCEPT" + "Stakeholder 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"DOCUMENT" + "Governance of Portfolios, Programs, and Projects: A Practice Guide is a document that provides information about governance and the PMO." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "DOCUMENT" + "Strategic Initiative Management: The PMO Imperative is a document that provides information about strategic initiative management and the PMO." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Organizations are adopting more decentralized structures where teams need to respond quickly to changing customer needs." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Teams are part of organizations that need to respond quickly to changing customer needs." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Departments within organizations may have their own PMOs and VDOs." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "VDOs are part of organizations that support project management capabilities and value delivery." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Employees within organizations need to understand and apply project management skills and competencies." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Contractors within organizations need to understand and apply project management skills and competencies." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Partners within organizations need to understand and apply project management skills and competencies." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Business leaders within organizations need to understand the performance of projects." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "CONCEPT" + "Project management capabilities are essential for organizations to deliver projects effectively." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "CONCEPT" + "Strategic initiatives can significantly impact an organization's future." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "CONCEPT" + "Business outcomes are a key focus of project management." + chunk-d61f0b382dc1f0ed5e41e30fa93713c0 + + + "ORGANIZATION" + "Product Management Institute is an organization that provides information on product management practices." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "PRODUCT" + "Apple iPhone is a product that has been through multiple versions with future updates." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "GEO" + "Newtown Square, PA is a location where the Project Management Institute is based." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "PERSON" + "The Author is an individual who wrote the guide." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Outputs refer to the tangible results of a project or product." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Temporary teams refer to groups of people assembled for a specific project or task." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Stable teams refer to long-term groups of people who work together regularly." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Inception refers to the beginning of a project or product." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Retirement refers to the end of a project or product." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Customer centricity refers to a business model that prioritizes customer needs and preferences." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Software-enhanced value refers to the benefits provided by software and its capabilities." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Ongoing provision and payment refers to a business model where services are delivered continuously and paid for over time." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Microlending refers to the practice of providing small loans to individuals or businesses." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "CONCEPT" + "Funding models refer to the ways in which projects or products are financed." + chunk-d84381cb1a6bb747258ff8849d668845 + + + "EVENT" + "The Gig Economy is an event that has led to an increase in start-ups and small businesses." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "PERSON" + "The Customer is a person who is being served by organizations in the product management context." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Start-ups are small businesses that are part of the gig economy." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Small Businesses are part of the gig economy." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Traditional Product Industries, such as infrastructure, aerospace, and automotive, use program management guides and frameworks." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Infrastructure is a traditional product industry that uses program management guides and frameworks." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Aerospace is a traditional product industry that uses program management guides and frameworks." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "ORGANIZATION" + "Automotive is a traditional product industry that uses program management guides and frameworks." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "TECHNOLOGY" + "Products are deliverables that are part of the product management context." + chunk-557cadd77425c32d7bd9600fb9dedf19 + + + "PERSON" + "Kelly is the author of the book 'Continuous Digital: An Agile Alternative to Projects for Digital Business'." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "PERSON" + "Leybourn is the author of the book '#noprojects: A Culture of Continuous Value'." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "PERSON" + "Hastie is the co-author of the book '#noprojects: A Culture of Continuous Value'." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "PERSON" + "Kersten is the author of the book 'Project to Product: How to Survive and Thrive in the Age of Digital Disruption with the Flow Framework'." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "TECHNOLOGY" + "The Standard for Project Management Fourth Edition is a technology that has been developed and updated by the Project Management Institute." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "TECHNOLOGY" + "The Standard for Program Management Third Edition is a technology that has been developed and updated by the Project Management Institute." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "TECHNOLOGY" + "The Standard for Portfolio Management Fourth Edition is a technology that has been developed and updated by the Project Management Institute." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "EVENT" + "Research and Development is the process of updating The Standard for Project Management." + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + "ORGANIZATION" + "The Development Team is a group of stakeholders from 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is a location where a global workshop was held for the PMI standard development process." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "GEO" + "Brazilia is a location where a global workshop was held for the PMI standard development process." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "GEO" + "Ottawa is a location where a global workshop was held for the PMI standard development process." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "GEO" + "Philadelphia is a location where a global workshop was held for the PMI standard development process." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Threshold refers to a point of transition or a boundary, in this case, for the mission of the team." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Industry refers to a particular sector or field of business or activity." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Protocols refer to established procedures or guidelines for conducting a particular activity." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Portfolio Management refers to the management of a collection of projects and programs." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "DOCUMENT" + "Exposure Draft is a draft document made available for public review and comment." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "ORGANIZATION" + "Standards Consensus Committee is a group responsible for reviewing and approving the final standard." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "EVENT" + "January is a month when the exposure draft was made available for public review." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "EVENT" + "February is a month when the exposure draft was made available for public review." + chunk-150296eb42e37249d7fbd1bd1ba75467 + + + "CONCEPT" + "Accuracy refers to the correctness of assessments in the quality management system." + chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Actual Cost refers to the realized cost incurred for the work performed on an activity." + chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Affinity Grouping is the process of classifying items into similar categories." + chunk-013ec75d6eb83656bc88a9d354c1a77a + + + "CONCEPT" + "Basis of Estimates is a supporting documentation outlining details used in establishing project estimates."<SEP>"Basis of estimates refers to the basis on which estimates are made." + chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Benchmarking is the comparison of actual or planned products, processes, and practices to those of comparable organizations." + chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Benefits Management Plan is a documented explanation defining processes for creating, maximizing, and sustaining benefits provided by a project or program." + chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Blocker refers to an impediment." + chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Budget at Completion (BAC) is the sum of all budgets established for work to be performed." + chunk-570166d803a04a71c2d5909dd5cd7800 + + + "CONCEPT" + "Burn Chart is a graphical representation of work remaining in a timebox or work completed toward the release of a product or project deliverable." + chunk-570166d803a04a71c2d5909dd5cd7800 + + + "TECHNOLOGY" + "Cost of Quality (COQ) refers to all costs incurred over the life of a product by investment in preventing nonconformance to requirements." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Cost Plus Award Fee Contract (CPAF) is a category of contract that involves payments to the seller for all legitimate actual costs incurred for completed work, plus an award fee." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Cost Plus Fixed Fee Contract (CPFF) is a type of cost-reimbursable contract where the buyer reimburses the seller for the seller's allowable costs plus a fixed amount of profit." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Cost Plus Incentive Fee Contract (CPIF) is a type of cost-reimbursable contract where the buyer reimburses the seller for the seller's allowable costs, and the seller earns its profit if it meets defined performance criteria." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Control Chart is a graphic display of process data over time and against established control limits." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Criteria are standards, rules, or tests on which a judgment or decision can be based or by which a product, service, result, or process can be evaluated." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Critical Path is the sequence of activities that represents the longest path through a project, which determines the shortest possible duration." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Critical Path Method (CPM) is a method used to estimate the minimum project duration and determine the amount of schedule flexibility on the logical network paths within the schedule model." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Cumulative Flow Diagram (CFD) is a chart indicating features completed over time, features in other states of development, and those in the backlog." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Data Gathering and Analysis Methods are used to collect, assess, and evaluate data and information to gain a deeper understanding of a situation." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "TECHNOLOGY" + "Decomposition is a method used for dividing and subdividing the project scope and project deliverables into smaller, more manageable parts." + chunk-4152d90c2ab979b9f5b85dad6eba8668 + + + "CONCEPT" + "Earned Value Analysis (EVA) is a method that uses a set of measures associated with scope, schedule, and cost to determine the cost and schedule performance of a project." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Enterprise Environmental Factors (EEF) are conditions, not under the immediate control of the team, that influence, constrain, or direct the project, program, or portfolio." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Epic is a large, related body of work intended to hierarchically organize a set of requirements and deliver specific business outcomes." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Estimate is a quantitative assessment of the likely amount or outcome of a variable, such as project costs, resources, effort, or durations." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Estimate at Completion (EAC) is the expected total cost of completing all work expressed as the sum of the actual cost to date and the estimate to complete." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Estimate to Complete (ETC) is the expected cost to finish all the remaining project work." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Estimating Methods are used to develop an approximation of work, time, or cost on a project." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Executing Process Group is the set of processes performed to complete the work defined in the project management plan to satisfy the project requirements." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "PMI SEVENTH EDITION JULY 2021" + "organization" + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Grade is a category or rank used to distinguish items that have the same functional use but do not share the same requirements for quality." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Histogram is a bar chart that shows the graphical representation of numerical data." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Impediment is an obstacle that prevents the team from achieving its objectives, also known as a blocker." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Incremental Approach is an adaptive development approach in which the deliverable is produced successively, adding functionality until the deliverable contains the necessary and sufficient capability to be considered complete." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Indefinite Delivery Indefinite Quantity (IDIQ) is a contract that provides for an indefinite quantity of goods or services, with a stated lower and upper limit, within a fixed time period." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "CONCEPT" + "Influence Diagram is a graphical representation of situations showing causal influences, time ordering of events, and other relationships among variables and outcomes." + chunk-719ffd3ff27915b62620bd5e561f9b92 + + + "EVENT" + "Kickoff Meeting is a project event where team members and stakeholders gather to set expectations and commence work." + chunk-f26590633185039664a22449ce640bcd + + + "CONCEPT" + "Last Responsible Moment is a concept that defers decisions to allow teams to consider multiple options." + chunk-f26590633185039664a22449ce640bcd + + + "TECHNOLOGY" + "Lead Time Chart is a diagram showing the trend of average lead time of items completed." + chunk-f26590633185039664a22449ce640bcd + + + "TECHNOLOGY" + "Lean Startup Canvas is a one-page template for communicating business plans." + chunk-f26590633185039664a22449ce640bcd + + + "TECHNOLOGY" + "Lessons Learned Register is a project document recording knowledge gained during a project." + chunk-f26590633185039664a22449ce640bcd + + + "TECHNOLOGY" + "Life Cycle Assessment is a tool evaluating the total environmental impact of a product." + chunk-f26590633185039664a22449ce640bcd + + + "TECHNOLOGY" + "Make-or-Buy Analysis is a process gathering data about product requirements and analyzing alternatives." + chunk-f26590633185039664a22449ce640bcd + + + "CONCEPT" + "Mandatory Dependency is a relationship required by contract or inherent in work nature." + chunk-f26590633185039664a22449ce640bcd + + + "CONCEPT" + "PMBOK is a term that describes the knowledge within the profession of project management."<SEP>"PMBOK refers to the knowledge within the profession of project management." + chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-92e821a9aae43c61bba53d3a6bb81f47 + + + "CONCEPT" + "Project Lead is a person who helps the project team to achieve the project objectives, typically by orchestrating the work of the project." + chunk-92e821a9aae43c61bba53d3a6bb81f47 + + + "EVENT" + "Initiating processes are part of the Project Management Process Group." + chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Planning processes are part of the Project Management Process Group." + chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Executing processes are part of the Project Management Process Group." + chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Monitoring and Controlling processes are part of the Project Management Process Group." + chunk-97413340bcb726905c8f4fc6310f963a + + + "EVENT" + "Closing processes are part of the Project Management Process Group." + chunk-97413340bcb726905c8f4fc6310f963a + + + "DOCUMENT" + "A Project Scope Statement is the description of the project scope, major deliverables, and exclusions." + chunk-97413340bcb726905c8f4fc6310f963a + + + "CONCEPT" + "Risk Management Plan is a component of the project management plan that describes how risk management activities will be structured and performed."<SEP>"Risk management plan is a technology used in project management to identify and mitigate risks." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "CONCEPT" + "Risk Acceptance is a risk response strategy where the project team decides to acknowledge the risk and not take any action unless the risk occurs." + chunk-f951826f2c8c5d12392c15b9e39300ae + + + "CONCEPT" + "Risk Avoidance is a risk response strategy where the project team acts to eliminate the threat or protect the project from its impact." + chunk-f951826f2c8c5d12392c15b9e39300ae + + + "CONCEPT" + "Risk Enhancement is a risk response strategy where the project team acts to increase the probability of occurrence or impact of an opportunity." + chunk-f951826f2c8c5d12392c15b9e39300ae + + + "CONCEPT" + "Risk Escalation is a risk response strategy where the team acknowledges that a risk is outside of its sphere of influence and shifts the ownership of the risk to a higher level of the organization where it is more effectively managed." + chunk-f951826f2c8c5d12392c15b9e39300ae + + + "CONCEPT" + "Risk Exploiting is a risk response strategy where the project team acts to ensure that an opportunity occurs." + chunk-f951826f2c8c5d12392c15b9e39300ae + + + "CONCEPT" + "Risk Exposure is an aggregate measure of the potential impact of all risks at any given point in time in a project, program, or portfolio."<SEP>"Risk exposure refers to the potential impact of risks on a project." + chunk-f951826f2c8c5d12392c15b9e39300ae<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "TECHNOLOGY" + "Scope Management Plan is a component of the project management plan that describes how scope will be defined, developed, monitored, controlled, and validated."<SEP>"Scope management plan is a technology used in project management to plan and manage scope." + chunk-853d01d0583dd069eab457834e6c3c6c<SEP>chunk-c4f387784faaf5cb2f8232016e703fda + + + "GRAPH" + "S-Curve is a graph that displays cumulative costs over a specified period of time." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "CONCEPT" + "Self-Organizing Team is a cross-functional team in which people assume leadership as needed to achieve the team's objectives." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "CONCEPT" + "Servant Leadership is the practice of leading the team by focusing on understanding and addressing the needs and development of team members to enable the highest possible team performance." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "ESTIMATING METHOD" + "Single-Point Estimating is an estimating method that involves using data to calculate a single value which reflects a best guess estimate." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "DOCUMENT" + "Specification is a precise statement of the needs to be satisfied and the essential characteristics that are required." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "CONCEPT" + "Sprint is a short time interval within a project during which a usable and potentially releasable increment of the product is created." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "DOCUMENT" + "Strategic Plan is a high-level document that explains an organization's vision and mission." + chunk-853d01d0583dd069eab457834e6c3c6c + + + "CONCEPT" + "Time and Materials Contract (T&M) is a type of contract that is a hybrid of cost-reimbursable and fixed-price contracts." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Tolerance is the quantified description of acceptable variation for a quality requirement." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Triple Bottom Line is a framework for considering the full cost of doing business by evaluating a company’s bottom line from the perspective of profit, people, and the planet." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Uncertainty Domain is the performance domain that addresses activities and functions associated with risk and uncertainty." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Use Case is an artifact for describing and exploring how a user interacts with a system to achieve a specific goal." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "CONCEPT" + "Validation is the assurance that a product, service, or result meets the needs of the customer and other identified stakeholders." + chunk-deae6fb3ccf5fe1684cdeb36bb26c517 + + + "ORGANIZATION" + "Agile Center of Excellence (ACoE) is a group that promotes Agile methodologies and best practices." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "GEO" + "38 is a reference to the Agile Center of Excellence (ACoE)." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "GEO" + "212 is a reference to the Agile charter." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "GEO" + "84 is a reference to Agile methods." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Agreements refer to contracts and service level agreements." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Contract(s) refer to legally binding agreements." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Service level agreement refers to a contract between a service provider and a customer." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Alignment refers to the process of aligning project goals with organizational goals." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Analogous estimating is a method of estimating project costs." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Analytical techniques refer to methods of analyzing data." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Appraisal costs refer to the cost of evaluating a project." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Approach, win-win perspective and refers to a collaborative approach to project management." + chunk-8600675e79622a16e8b3a8f5e75972bf + + + "CONCEPT" + "Checklists are tools used for documentation and organization." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "EVENT" + "Close phase is a stage in the project management process." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "EVENT" + "Closing Process Group is a stage in the project management process." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "ORGANIZATION" + "Distributed project teams are teams that work remotely." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "ORGANIZATION" + "Colocated teams are teams that work in the same physical location." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Combined burn chart is a type of chart used for project management." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Common situations refer to typical scenarios in project management." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Tailoring refers to the process of adapting a process to fit a specific situation." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Channels refer to the methods used for communication." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Conversation refers to a two-way exchange of information." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Cross-cultural refers to communication between people from different cultures." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Discourse refers to a conversation or exchange of ideas." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "CONCEPT" + "Engagement refers to the level of involvement or participation." + chunk-a7ca9a9f6e2f50b821296aa0990e0144 + + + "ORGANIZATION" + "Project Management Office (PMO) is an organization that deals with project management."<SEP>"Project management office (PMO) is an organization that supports project management within an enterprise." + chunk-a4dac29d253ea864991560250a7616af<SEP>chunk-d2c2710174b73a5ef984fb635b1de69d + + + "ORGANIZATION" + "Enterprise-level PMO (EPMO) is a type of PMO that operates at the enterprise level." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Deliverables are the tangible or intangible products or services that a project produces." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Development life cycle is a concept that describes the stages of a project's development." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Estimate(s) refers to the process of estimating the cost, 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the idea that different development approaches can be placed on a spectrum from predictive to adaptive." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Development phase refers to the stage of the project life cycle where the project is being developed." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "DevOps approach refers to the practice of combining software development and operations to improve the speed and quality of software releases." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Diagnostics refers to the process of identifying and analyzing problems or issues." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Tailoring and diagnostics refers to the process of adapting project management practices to specific project needs and identifying and analyzing problems or issues." + chunk-a4dac29d253ea864991560250a7616af + + + "CONCEPT" + "Expert Judgment refers to the use of expert knowledge and experience in decision-making." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "PERSON" + "Subject Matter Experts (SMEs) are individuals with expertise in a particular area." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Firm Fixed Price (FFP) is a type of contract where the price is fixed." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Fixed Price Incentive Fee (FPIF) is a type of contract where the price is fixed and an incentive fee is included." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Fixed Price with Economic Price Adjustment (FPEPA) is a type of contract where the price is fixed and adjusted for economic changes." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Flow-Based Estimating is a method of estimating project costs and duration." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Flow-Based Projects are projects that use flow-based estimating." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Flow-Based Scheduling is a method of scheduling projects." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Focus Groups are a method of gathering feedback from a group of people." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Forming, Storming, Norming, Performing, Adjourning (FSNPA) is a model of team development." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Function Point is a measure of software size." + chunk-86461fb85086d50ab5b3eb2402d32acd + + + "CONCEPT" + "Management refers to the process of planning, organizing, and controlling resources to achieve a goal." + chunk-ce54368cc03d7ca8aad29788b4623715 + + + "CONCEPT" + "KPIs are specific, measurable values used to evaluate project performance." + chunk-ce54368cc03d7ca8aad29788b4623715 + + + "ORGANIZATION" + "112MoSCoW is an organization that is likely related to project management." + chunk-d2c2710174b73a5ef984fb635b1de69d + + + "ORGANIZATION" + "181Motivation is an organization that deals with motivation models." + chunk-d2c2710174b73a5ef984fb635b1de69d + + + "ORGANIZATION" + "MOA is an abbreviation for Memorandum of agreement."<SEP>"MOU is an abbreviation for Memorandum of agreement." + chunk-d2c2710174b73a5ef984fb635b1de69d + + + "ORGANIZATION" + "MOU is an abbreviation for Memorandum of understanding." + chunk-d2c2710174b73a5ef984fb635b1de69d + + + "ORGANIZATION" + "Project brief is a document that outlines the project scope, goals, and objectives, serving as a strategy artifact." + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "EVENT" + "Project closeout meeting is a meeting held at the end of a project to document lessons learned, finalize project deliverables, and formally close the project." + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "ORGANIZATION" + "Project communications management plan is a document that outlines the communication strategy, channels, and stakeholders for a project." + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "ORGANIZATION" + "Project execution refers to the processes and activities involved in delivering project work, including project management, team management, and stakeholder engagement." + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "ORGANIZATION" + "Project factors are the variables that affect a project, including scope, schedule, budget, and resources." + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + "ORGANIZATION" + "Project phases are stages in the project life cycle, used to plan and manage project activities." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Project team culture refers to the values, norms, and behaviors of the project team." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Proposals are documents submitted in response to a request for proposal (RFP)." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Pull communication refers to the process of sharing information with stakeholders." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Push communication refers to the process of sharing information with stakeholders." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Quality assurance refers to the activities and tasks performed to ensure that the project meets the required quality standards." + chunk-77d4591f212f2f117892d62813852861 + + + "ORGANIZATION" + "Quality audits refer to the process of evaluating the quality of a project or product." + chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "Statement of work refers to a document that outlines the project's objectives, scope, and deliverables." + chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "RACI chart refers to a chart that shows the roles and responsibilities of team members." + chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "RAG (red-amber-green) charts refer to charts used to track project progress." + chunk-77d4591f212f2f117892d62813852861 + + + "CONCEPT" + "RAM (Responsibility Assignment Matrix + chunk-77d4591f212f2f117892d62813852861 + + + "TECHNOLOGY" + "Schedule model is a technology used in project management to plan and manage schedules." + chunk-c4f387784faaf5cb2f8232016e703fda + + + "TECHNOLOGY" + "Schedule performance index (SPI) is a technology used in project management to measure schedule performance." + chunk-c4f387784faaf5cb2f8232016e703fda + + + "TECHNOLOGY" + "Schedule variance (SV) is a technology used in project management to measure schedule performance." + chunk-c4f387784faaf5cb2f8232016e703fda + + + "TECHNOLOGY" + "Risk-adjusted ROI curve is a technology used in project management to measure return on investment." + chunk-c4f387784faaf5cb2f8232016e703fda + + + "CONCEPT" + "Risk impact refers to the potential consequences of risks on a project." + chunk-c4f387784faaf5cb2f8232016e703fda + + + "PMI" + "organization" + chunk-c4f387784faaf5cb2f8232016e703fda + + + "ORGANIZATION" + "Project Stakeholders are individuals or groups that have an interest in the project." + chunk-69d45216cadc0c2225d65e1293522ca4 + + + "CONCEPT" + "Stakeholder Identification is the process of identifying stakeholders." + chunk-69d45216cadc0c2225d65e1293522ca4 + + + "TECHNOLOGY" + "A Guide to the Project Management Body of Knowledge is a publication that provides a guide to project management." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "CONCEPT" + "Project Management Profession is a field that has evolved to adapt to changing industry, organization, and project needs." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "CONCEPT" + "Tailoring Development Approaches is a process of adapting project management approaches to suit specific project needs." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "TECHNOLOGY" + "PMIstandards + is a platform that provides content and resources for project management." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "GEO" + "Global Headquarters is the main office of the Project Management Institute." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "GEO" + "Campus is a physical location of the Project Management Institute." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "GEO" + "14 is the number of the Campus of the Project Management Institute." + chunk-345bd574252e2b6a3927314f8a7b7ebd + + + "GEO" + "Newtown Square is a geographic location that serves as the Global Headquarters of the Project Management Institute." + chunk-101e225d96fe8d818009f456e196e8dc + + + "TECHNOLOGY" + "PMBOK_Guide_7thED_cover_spread is a document related to the PMBOK Guide." + chunk-101e225d96fe8d818009f456e196e8dc + + + "GEO" + "USA is a country where the Project Management Institute is headquartered." + chunk-101e225d96fe8d818009f456e196e8dc + + + "TECHNOLOGY" + "Tel is a technology used for communication, specifically a phone number." + chunk-101e225d96fe8d818009f456e196e8dc + + + "TECHNOLOGY" + "PMI.org is a website associated with the Project Management Institute." + chunk-101e225d96fe8d818009f456e196e8dc + + + chunk-33129517ec75c9226be70bcc19911a39 + "1987" + "UNKNOWN" + + + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + "concept" + "UNKNOWN" + + + chunk-5efb02b1632a5eec4174cfd09d5fc535 + "PMI Seventh Edition July 2021" + "UNKNOWN" + + + chunk-44560986014a57dff0ad84aa387bfc50 + "PMI provides guidance for Project Managers to lead project teams effectively." + "UNKNOWN" + + + chunk-44560986014a57dff0ad84aa387bfc50 + "PMI provides guidance for Project Managers to lead project teams effectively." + "UNKNOWN" + + + chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2 + "July is the month in which the PMBOK Guide is published, marking a specific event in the project management calendar." + "UNKNOWN" + + + chunk-ed7b2ffc76054358b5eb4482c46583e7 + "concept" + "UNKNOWN" + + + chunk-554ad5a189000609af98f86d63cf41ff + "VDO coaches project teams and builds adaptive skills, which is a collaborative effort with the project team." + "UNKNOWN" + + + chunk-0b9b64e1de90c504763ea89d2acc71f6 + "RFI and RFQ are related technologies used in project management, both requesting information from prospective sellers." + "UNKNOWN" + + + chunk-0b9b64e1de90c504763ea89d2acc71f6 + "RFI and RFQ are related technologies used in project management, both requesting information from prospective sellers." + "UNKNOWN" + + + chunk-0b9b64e1de90c504763ea89d2acc71f6 + "organization" + "UNKNOWN" + + + chunk-5b470bffecabfc0b8d557efa60e80fb8 + "Kelly is the author of the book 'Continuous Digital: An Agile Alternative to Projects("entity" + "UNKNOWN" + + + 23.0 + "Project Management Institute is the official name of the organization that publishes the Standard for Project Management, which is a key resource for project managers to understand project management principles and practices."<SEP>"The Project Management Institute is involved in the development and dissemination of project management knowledge and best practices."<SEP>"The Project Management Institute provides guidance on project management practices, which are 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publishes the PMBOK Guide, which is a key resource for project management professionals." + "abbreviation, organization"<SEP>"affiliation, organization"<SEP>"affiliation, publication"<SEP>"identity, organization"<SEP>"professional organization, standards"<SEP>"publication, standards"<SEP>9 + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b<SEP>chunk-8fd6153c87efa1b35a7231b74a69c369<SEP>chunk-20479a7b52eb41d9c6e3afece7b26782<SEP>chunk-101e225d96fe8d818009f456e196e8dc<SEP>chunk-79ccc8459426463eeed13bd3c87147a4<SEP>chunk-69d45216cadc0c2225d65e1293522ca4<SEP>chunk-bee42593d56afe20000b9fa2c4cf97ef + + + 58.0 + "PMBOK Guide is a publication from the Project Management Institute."<SEP>"PMBOK Guide is published by Project Management Institute, which is the organization behind the guide."<SEP>"Project Management Institute is associated with the PMBOK Guide, which provides guidelines for project management."<SEP>"The PMBOK Guide is a publication that reflects the practices of the Project Management 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The PMBOK Guide is a key resource for project managers and stakeholders, offering guidance on project management and serving as a reference for project teams. + "development, resource"<SEP>"organization, publication"<SEP>"publication, best practices"<SEP>"publication, documentation"<SEP>"publication, framework"<SEP>"publication, guidance"<SEP>"publication, guide"<SEP>"publication, guidelines"<SEP>"publication, information dissemination"<SEP>"publication, knowledge sharing"<SEP>"publication, organization"<SEP>"publication, project management"<SEP>"publication, reference material"<SEP>"publication, reference"<SEP>"publication, resource" + 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chunk-e3806018cbc410a756031760e6e43275<SEP>chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-44560986014a57dff0ad84aa387bfc50<SEP>chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-13edbc411f025b75a6768a4f52e9502a<SEP>chunk-8ebf1268953234bb237421a02a4f65ac<SEP>chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-807003f374e7d2c2f05e374bb8fae00e<SEP>chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-09171466a88a728490c48ac838785d6c + + + 15.0 + "The Project Manager communicates with Stakeholders to understand their needs and expectations."<SEP>"The Project Manager must consider the needs and expectations of Stakeholders in making project decisions." + "communication, stakeholder engagement"<SEP>"stakeholder management, decision-making" + chunk-49b6f55a63205e85f4c5b85cbaaef25b<SEP>chunk-8ebf1268953234bb237421a02a4f65ac + + + 8.0 + "The Project Manager is accountable to the governance system of the organization." + "accountability, governance" + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b + + + 16.0 + "Project Manager is responsible for implementing stakeholder engagement strategies and actions."<SEP>"The Project Manager engages with stakeholders to understand their needs and expectations." + "communication, stakeholder engagement"<SEP>"leadership, stakeholder engagement" + chunk-03111e475d5b0638f4ea2f7775880a7a<SEP>chunk-9c886c9e5e4e2e3c59252938b1bd4d2b + + + 9.0 + "The Project Manager identifies and mitigates potential risks to ensure project success." + "risk management, project success" + chunk-9c886c9e5e4e2e3c59252938b1bd4d2b + + + 18.0 + "The Project Manager is part of the Project Management Team, working together to achieve project objectives."<SEP>"The Project Manager leads the Project Management Team in project management activities." + "leadership, management"<SEP>"teamwork, collaboration" + chunk-1fe78929e30869d4ce7365694133fb9b<SEP>chunk-44560986014a57dff0ad84aa387bfc50 + + + 1.0 + "The Project Charter provides approval for the Project Manager to form a project("entity" + "Project Manager" + chunk-1fe78929e30869d4ce7365694133fb9b + + + 7.0 + "The Project Manager is responsible for establishing and maintaining a safe, respectful, non-judgmental environment that allows the project team to communicate openly, which contributes to a positive project culture." + "leadership, culture" + chunk-807003f374e7d2c2f05e374bb8fae00e + + + 9.0 + "The Project Manager uses the concepts in Section 2 – Project Performance Domains to guide project performance." + "leadership, guidance" + chunk-09171466a88a728490c48ac838785d6c + + + 8.0 + "The Project Manager works with the Customer to define and deliver the project scope." + "customer satisfaction, project scope" + chunk-8ebf1268953234bb237421a02a4f65ac + + + 7.0 + "The Project Manager collaborates with the Product Owner to prioritize the project scope." + "project scope, prioritization" + chunk-8ebf1268953234bb237421a02a4f65ac + + + 1.0 + "The Project Manager reports to the Project Sponsor and seeks their support and approval." + "reporting, sponsorship"<|("entity" + chunk-8ebf1268953234bb237421a02a4f65ac + + + 8.0 + "Project Manager is involved in the procurement process, overseeing activities and working with contracting professionals." + "procurement, project management" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 9.0 + "Project Manager works with Contracting Officer on procurements, ensuring compliance with contracts and regulations." + "collaboration, regulation compliance" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 1.0 + "Change Control Board works with Project Manager to guide change requests("entity" + "Project" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 8.0 + "Project Manager is responsible for defining and managing the scope of a project." + "scope management, project management" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 16.0 + "Project manager is responsible for managing risks in projects."<SEP>"The project manager implements risk responses and manages the project within the organization's risk appetite." + "risk management, project management" + chunk-4ad34b4364c38715068dd353f3620bcb<SEP>chunk-6c88d19dbcd069cdd903055e606dac2c + + + 8.0 + "Project manager is responsible for creating and managing project schedules." + "scheduling, project management" + chunk-6c88d19dbcd069cdd903055e606dac2c + + + 8.0 + "Project manager is responsible for creating and managing project budgets." + "budgeting, project management" + chunk-6c88d19dbcd069cdd903055e606dac2c + + + 9.0 + "A Project Manager uses the Project Manager's Guide as a framework for managing a project." + "guidance, project management" + chunk-f459e762482aee7e7573a73fe673e666 + + + 9.0 + "A Project Manager is responsible for executing, monitoring, and controlling the project according to the plan." + "project execution, planning" + chunk-97413340bcb726905c8f4fc6310f963a + + + 7.0 + "The PMBOK Guide describes the eight project performance domains." + "project management, domains" + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + 6.0 + "The Project Performance Domains involve the Project Team, which works together to deliver a project." + "teamwork, project delivery" + chunk-4d7db1dc19851d5981cef4514b90f027 + + + 7.0 + "Project Performance Domains include stakeholder engagement, which is essential for project success." + "performance, engagement" + chunk-03111e475d5b0638f4ea2f7775880a7a + + + 10.0 + "Project Managers need to understand and apply Project Performance Domains to make informed decisions and lead project teams effectively." + "project management, decision making" + chunk-42c865b5ab4bd9d1d3948ed09ee065d2 + + + 9.0 + "Delivery Performance Domain is a category of activities and functions related to delivering project outcomes, which is part of the Project Performance Domains concept." + "project management, performance domains" + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + 9.0 + "Planning Performance Domain is a category of activities and functions related to planning project work, which is part of the Project Performance Domains concept." + "project management, performance domains" + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + 9.0 + "Measurement Performance Domain is a category of activities and functions related to measuring and evaluating project performance, which is part of the Project Performance Domains concept." + "project management, performance domains" + chunk-c68d7b8ceebc7796fd7af2580eca4226 + + + 9.0 + "Earned Value Management is a concept that is part of the project performance domains." + "conceptual framework, management" + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + 7.0 + "Project Work is performed within the context of the Project Performance Domains to deliver project outcomes." + "project management, performance metrics" + chunk-322b37305c8ed13bd5ee6fbd30b5d9e8 + + + 7.0 + "The Project Work Performance Domain is one of the project performance domains." + "performance, project management" + chunk-a4dac29d253ea864991560250a7616af + + + 7.0 + "Stakeholder Performance Domain is a key concept in stakeholder engagement, which involves understanding and analyzing stakeholders." + "analysis, engagement" + chunk-69d45216cadc0c2225d65e1293522ca4 + + + 1.0 + "concept" + "PMI Seventh Edition is a version of the Standard for Project Management, published in July 2021." + chunk-e201b9ffd68dc9ef24ef2940d7deaf1b + + + 8.0 + "The Project Team uses the Measurement Performance Domain to measure and report information to learn and improve." + "performance improvement, data analysis" + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + 7.0 + "Stakeholders use the Measurement Performance Domain to make informed decisions based on reliable forecasts and evaluations." + "decision-making, stakeholder engagement" + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + 9.0 + "The Uncertainty Performance Domain interacts with the Measurement Performance Domain to handle uncertainty and make informed decisions." + "uncertainty management, decision-making" + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + 1.0 + "The Planning Performance Domain interacts with the Measurement Performance Domain to present up-to-date information for updating plans." + "planning, data analysis" + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + 10.0 + "Uncertainty Performance Domain addresses the various aspects of uncertainty, including risk." + "uncertainty, risk management" + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + 8.0 + "Project Management Principles guide the Tailoring process, which adapts project approach, governance, and processes to suit the project environment and work at hand." + "adaptation, project management" + chunk-4d7db1dc19851d5981cef4514b90f027 + + + 8.0 + "the project team performs tailoring to adjust the project approach to suit the project environment and culture." + "project management, adaptation" + chunk-40190ed38fc930b560dfcd36d953bdf4 + + + 7.0 + "the organization may have a project methodology, general management approach, or general development approach that influences the project team's tailoring decisions." + "influence, governance" + chunk-40190ed38fc930b560dfcd36d953bdf4 + + + 9.0 + "tailoring involves selecting and adjusting the development approach to suit the project environment and culture." + "project management, adaptation" + chunk-40190ed38fc930b560dfcd36d953bdf4 + + + 8.0 + "project team requires facilitation to coordinate meetings and contribute to project objectives." + "collaboration, coordination" + chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9 + + + 7.0 + "Stewardship is essential for the responsible management and care of organizational resources and stakeholders by a Project Team." + "responsibility, care" + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + 8.0 + "Trustworthiness is crucial for the Project Team to represent themselves and their organization accurately." + "integrity, representation" + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + 7.0 + "Compliance is necessary for the Project Team to adhere to laws, rules, regulations, and requirements." + "adherence, regulations" + chunk-07de9a54bc3ab6b1f8a981b92b3d0ece + + + 7.0 + "The Project Team aims to produce deliverables that meet project objectives and align to stakeholder needs, focusing on quality." + "quality focus, deliverables" + chunk-a01eef185e59dbc3ba86197a6acb12a9 + + + 18.0 + "The Project Team produces Project Deliverables that meet project objectives and align to stakeholder needs, focusing on quality."<SEP>"The Project Team produces project deliverables that realize business outcomes." + "output, project management"<SEP>"production, quality focus" + chunk-a01eef185e59dbc3ba86197a6acb12a9<SEP>chunk-44560986014a57dff0ad84aa387bfc50 + + + 9.0 + "A project manager leads and coordinates the project team to achieve project objectives and ensure project success." + "leadership, team management" + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + 8.0 + "A Project Team passes through("entity"<SEP>"A project team navigates the project life cycle, executing activities and deliverables in each phase to achieve project objectives." + "Project Management Process Group"<SEP>"project execution, life cycle" + chunk-97413340bcb726905c8f4fc6310f963a<SEP>chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + 6.0 + "A project team must understand and meet project requirements to ensure project success, which involves effective stakeholder engagement and communication." + "requirement management, stakeholder engagement" + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + 7.0 + "The Project Management Team is directly involved in project management activities with the Project Team." + "collaboration, management" + chunk-1fe78929e30869d4ce7365694133fb9b + + + 9.0 + "A Servant Leader focuses on understanding and addressing the needs and development of the Project Team." + "leadership, development" + chunk-1fe78929e30869d4ce7365694133fb9b + + + 6.0 + "A contract is an agreement between two or more parties that outlines the terms and conditions of a project, which may influence the project team's dynamics and behavior." + "agreement, influence" + chunk-807003f374e7d2c2f05e374bb8fae00e + + + 9.0 + "The Project Team uses Leadership Skills, such as establishing and maintaining vision, to achieve their project purpose." + "leadership, team performance" + chunk-8c7dbc3db07f5753b258b37dea325667 + + + 7.0 + "The Project Team is affected by Conflict, which can lead to negative outcomes if not managed properly." + "conflict management, team dynamics" + chunk-42c865b5ab4bd9d1d3948ed09ee065d2 + + + 17.0 + "Project Team requires leadership to guide and direct them in project management."<SEP>"The Project Team requires effective Leadership to guide and direct them towards project objectives." + "leadership, team management" + chunk-42c865b5ab4bd9d1d3948ed09ee065d2<SEP>chunk-ce54368cc03d7ca8aad29788b4623715 + + + 8.0 + "Effective Communication is crucial for the Project Team to exchange information and work together efficiently." + "communication, team collaboration" + chunk-42c865b5ab4bd9d1d3948ed09ee065d2 + + + 8.0 + "The Project Team is involved in the development of the Community Center, which could use a predictive approach for construction and an adaptive approach for establishing senior services." + "project development, community service" + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + 7.0 + "The Project Team could develop and deploy Meals on Wheels iteratively as part of the community center project." + "project development, service delivery" + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + 1.0 + "The Project Team could develop and deploy Transportation Service iteratively as part of the community center project."<("entity" + "Predictive Approach" + chunk-bf53e3be4ec37cc6a07b065569257ab9 + + + 7.0 + "The Project Team uses the Predictive Approach for projects with well-known requirements and a stable scope." + "development method, project characteristics" + chunk-d0a571c3029dcad7172ddc1243d3b4ec + + + 7.0 + "The Project Team uses the Adaptive Approach for projects with uncertain requirements and a changing scope." + "development method, project characteristics" + chunk-d0a571c3029dcad7172ddc1243d3b4ec + + + 8.0 + "The Project Team follows the Release Plan to ensure the features and functionality are delivered as planned." + "project management, planning" + chunk-09171466a88a728490c48ac838785d6c + + + 8.0 + "The Project Team follows the Iteration Plan to complete tasks and features in each iteration." + "project management, planning" + chunk-09171466a88a728490c48ac838785d6c + + + 7.0 + "Project teams interact with stakeholders to understand their needs and expectations." + "stakeholder engagement, communication" + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + 9.0 + "Project teams apply the concepts outlined in Section 2 – Project Performance Domains to manage their projects effectively." + "project management, performance domains" + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + 6.0 + "Product Owner works with Project Team to prioritize the project backlog and manage expectations around adding scope and budget." + "scope management, collaboration" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 8.0 + "Project Team works with Vendors to execute project activities, including procurement and scope management." + "vendor management, project execution" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 9.0 + "The Project Team uses KPIs to evaluate the success of a project and make timely decisions." + "evaluation, decision-making" + chunk-b1eb1b308668b487160501574c3302cf + + + 8.0 + "The Project Team uses Leading Indicators to identify potential performance variances and take corrective action." + "problem-solving, performance improvement" + chunk-b1eb1b308668b487160501574c3302cf + + + 7.0 + "The Project Team uses Lagging Indicators to measure project deliverables and events, and to identify areas for improvement." + "measurement, improvement" + chunk-b1eb1b308668b487160501574c3302cf + + + 9.0 + "The project team identifies and manages risks to achieve project objectives." + "risk management, team effort" + chunk-4ad34b4364c38715068dd353f3620bcb + + + 8.0 + "The project team works to satisfy the customer's needs and expectations." + "customer satisfaction, service delivery" + chunk-d7a7f0519b0fb0e5453bae9e8322cb79 + + + 8.0 + "PMO oversees and coordinates project management activities, which involves working with the project team." + "oversight, coordination" + chunk-554ad5a189000609af98f86d63cf41ff + + + 8.0 + "VDO coaches project teams and builds adaptive skills, which is a collaborative effort with the project team." + "coaching, collaboration" + chunk-554ad5a189000609af98f86d63cf41ff + + + 9.0 + "The project team works on the product or deliverable, which is the output of the project." + "output, collaboration" + chunk-554ad5a189000609af98f86d63cf41ff + + + 7.0 + "Culture influences the project team's behavior and practices, which can impact the project's success." + "influence, impact" + chunk-554ad5a189000609af98f86d63cf41ff + + + 9.0 + "Project Team utilizes knowledge management to create, share, and utilize knowledge within the organization." + "knowledge sharing, collaboration" + chunk-ce54368cc03d7ca8aad29788b4623715 + + + 8.0 + "Project Team uses metrics to evaluate project performance and make informed decisions." + "evaluation, decision-making" + chunk-ce54368cc03d7ca8aad29788b4623715 + + + 8.0 + "Business is connected to the value that a project aims to deliver." + "business drivers, value creation" + chunk-d925527be3a672df92169e8f22e8adf3 + + + 9.0 + "Value is realized through the outcomes of a project." + "value realization, outcome" + chunk-d925527be3a672df92169e8f22e8adf3 + + + 1.0 + "A Portfolio can include a Program, which is a set of related projects managed in a coordinated manner.")("entity" + "PMI Seventh Edition July 2021" + chunk-ea51244bb104729050a518362f1e54d1 + + + 9.0 + "The Glossary contains definitions for terms related to products, including Product Scope." + "concept, definition" + chunk-92e821a9aae43c61bba53d3a6bb81f47 + + + 7.0 + "Stewardship is a concept related to responsible planning, use, and management of resources, which is aligned with project management principles." + "alignment, responsibility" + chunk-79ccc8459426463eeed13bd3c87147a4 + + + 1.0 + "PMI Seventh Edition" + "organization" + chunk-5bba2e3125ad2c726f6ccfcf66b54a01 + + + 9.0 + "Leadership and authority are related but distinct concepts in project management, with leadership influencing individuals toward desired outcomes and authority referring to the position of control." + "project management, leadership vs authority" + chunk-77e9d4fbd5863baaf2d201ff6000388a + + + 8.0 + "A Project Team Member can demonstrate effective leadership skills to contribute to project success and team performance." + "project management, team performance" + chunk-77e9d4fbd5863baaf2d201ff6000388a + + + 7.0 + "Leadership involves guiding the team through change and adapting to new information or circumstances." + "change management, leadership" + chunk-ce54368cc03d7ca8aad29788b4623715 + + + 7.0 + "Stakeholders are affected by change, which requires adaptability and communication."|>"stakeholder engagement, adaptability" + 7 + chunk-20479a7b52eb41d9c6e3afece7b26782 + + + 6.0 + "Retrospectives involve reviewing and reflecting on past experiences or events, which can lead to change and improvement." + "reflection, improvement" + chunk-ce54368cc03d7ca8aad29788b4623715 + + + 8.0 + "Project Deliverables are measured for quality based on requirements and acceptance criteria." + "quality measurement, deliverables" + chunk-a01eef185e59dbc3ba86197a6acb12a9 + + + 8.0 + "The Project Management Team is responsible for producing project deliverables that meet project objectives." + "responsibility, project management" + chunk-44560986014a57dff0ad84aa387bfc50 + + + 1.0 + "Project Deliverables are expected to meet Project Objectives, which are the goals and scope of the project."<("entity" + "Table 2-1" + chunk-44560986014a57dff0ad84aa387bfc50 + + + 7.0 + "Program Management and Product Management are related concepts that involve the integration of projects and activities to achieve strategic objectives and create products or services." + "integration, strategic objectives" + chunk-bee42593d56afe20000b9fa2c4cf97ef + + + 10.0 + "Requirements Management is the process of eliciting, documenting, and managing requirements to satisfy business needs." + "process, management" + chunk-130bfc37278bafc90298343494ac8632 + + + 7.0 + "Effort is a component of a schedule, which plans the execution of a project's activities." + "planning, execution" + chunk-1e4e7240611a4206b9dbb79d7ffa7c81 + + + 1.0 + "The development approach used determines the type of deliverable(s) and the development approach influence the number and cadence for project deliveries."<|("entity" + "Project" + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + 7.0 + "Risk is closely related to uncertainty, as it refers to uncertain events or conditions that can affect project objectives." + "cause and effect, risk management" + chunk-438eda18c89bd9de51dc0f44c99435ac + + + 7.0 + "Risk and opportunity are related concepts, as they both comprise the set of project risks." + "risk management, opportunity" + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + 8.0 + "Risk and threat are related concepts, as they both have a potential negative or positive effect on project objectives." + "risk management, threat" + chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc + + + 8.0 + "Risk Register is used to record information on risks, which are uncertain events or conditions that can impact project objectives." + "risk management, documentation" + chunk-f951826f2c8c5d12392c15b9e39300ae + + + 7.0 + "A project life cycle consists of multiple project phases, each with its own set of activities and deliverables." + "structure, project management" + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + 8.0 + "The project life cycle is influenced by the development approach used, which determines how the product, service, or result is created and evolved." + "influence, project management" + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + 8.0 + "Uncertainty contributes to complexity in project management, leading to potential disruption." + "cause and effect, complexity" + chunk-438eda18c89bd9de51dc0f44c99435ac + + + 6.0 + "Stakeholders may be involved in procurement decisions, ensuring that their needs are met." + "procurement, stakeholder engagement" + chunk-e117b77e1bf7dcc1bf3e23bb9626adb2 + + + 8.0 + "Leadership Skills, such as critical thinking, are essential for project management." + "critical thinking, leadership" + chunk-8c7dbc3db07f5753b258b37dea325667 + + + 1.0 + "Human behavior can contribute to complexity by introducing elements of subjectivity("entity" + "Project" + chunk-22711c24dd56ac426b9723c9653def64 + + + 9.0 + "Adaptability and resiliency are complementary traits that help project teams respond to changing conditions and recover from setbacks." + "complementary traits, resilience" + chunk-438eda18c89bd9de51dc0f44c99435ac + + + 6.0 + "The Product Owner is involved in establishing and prioritizing work in adaptive methods." + "stakeholder involvement, project management" + chunk-d0a571c3029dcad7172ddc1243d3b4ec + + + 8.0 + "Stakeholder Analysis informs stakeholder engagement by helping to identify and understand stakeholders' interests and perspectives." + "analysis, engagement" + chunk-03111e475d5b0638f4ea2f7775880a7a + + + 8.0 + "A project manager creates and maintains a collaborative project team environment that fosters adaptability, resilience, and effective communication." + "team management, collaboration" + chunk-b30ae6e95a1084333dc3a1281a7c5cb4 + + + 9.0 + "The project manager leads the project management team, guiding them in project execution and ensuring successful project delivery." + "leadership, team management" + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + 8.0 + "The project manager works with the project management office (PMO) to ensure alignment with organizational goals and best practices." + "collaboration, organizational alignment" + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + 1.0 + "PMI Seventh Edition July 2021" + "document" + chunk-5efb02b1632a5eec4174cfd09d5fc535 + + + 8.0 + "The project management team works with the project management office (PMO) to ensure that project management best practices are followed and organizational goals are met." + "collaboration, organizational goals" + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + 6.0 + "A contract is a type of agreement in project management, referring to a mutually binding understanding between parties." + "conceptual relationship, project management" + chunk-0b9b64e1de90c504763ea89d2acc71f6 + + + 1.0 + "Motivation and Interpersonal Skills,("entity" + "PMI Seventh Edition" + chunk-8c7dbc3db07f5753b258b37dea325667 + + + 7.0 + "Badges are used as a security measure to control access to restricted areas." + "security, access control" + chunk-6b8ecfc904ddb8dd0fa29c86ac169459 + + + 9.0 + "Project work performance domain interacts and enables project delivery performance domain to achieve project objectives." + "interdependence, project management" + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + 7.0 + "Contracting Officer works with Vendors to develop and select proposals and quotes." + "vendor management, contract negotiation" + chunk-ba05341a88ebf6f8724f5926d84460c1 + + + 7.0 + "Knowledge management involves the sharing of tacit knowledge among team members and stakeholders." + "knowledge sharing, collaboration" + chunk-29d5919417e1b3e84bdf25acd6b81886 + + + 1.0 + "Burn Rate is a concept that is related to earned value management, specifically comparing actual cost to estimated cost." + "("entity" + chunk-c0914a62e57140d9d3450d905d5b1dc1 + + + 8.0 + "A Threshold is used to trigger an Exception Plan when a project metric exceeds its limits." + "threshold, exception management" + chunk-4d26177fd7a4b5997a15397ff36405f5 + + + 9.0 + "The project management office (PMO) develops and maintains the project management plan, which serves as a comprehensive guide for project execution." + "planning, execution" + chunk-34b346c878ea1d57fb2ff4f6c484eb69 + + + 8.0 + "William Bridges developed the Transition Model, a framework for understanding psychological change." + "authorship, psychological change" + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + 9.0 + "Dave Snowden created the Cynefin framework, a conceptual model for decision-making." + "authorship, decision-making" + chunk-d30a0e904a281ddfbee628e40ef516c1 + + + 9.0 + "Allan Drexler and David Sibbet collaborated on developing a team performance model." + "collaboration, team performance" + chunk-13edbc411f025b75a6768a4f52e9502a + + + 8.0 + "Ken Thomas and Ralph Kilmann developed models for addressing conflict." + "conflict resolution, collaboration" + chunk-13edbc411f025b75a6768a4f52e9502a + + + 8.0 + "Ronald K. Mitchell proposed the Salience Model, a stakeholder identification model." + "stakeholder identification, model development" + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + 7.0 + "Bradley R. Agle co-authored the Salience Model, a stakeholder identification model." + "collaboration, model development" + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + 7.0 + "Donna J. Wood co-authored the Salience Model, a stakeholder identification model." + "collaboration, model development" + chunk-11a654df40b9e34ab6b0e53be6ce4862 + + + 7.0 + "Risk Review is a process that is part of Risk Management Plan, which describes how risk management activities will be structured and performed." + "planning, review" + chunk-f951826f2c8c5d12392c15b9e39300ae + + + 9.0 + "Risk Management Plan describes how risk management activities will be structured and performed, and Risk Register is a tool used to record risk information." + "planning, documentation" + chunk-f951826f2c8c5d12392c15b9e39300ae + + + 6.0 + "Project Stakeholders are listed in the Stakeholder Register, which is a document that outlines the stakeholders of a project." + "documentation, stakeholders" + chunk-69d45216cadc0c2225d65e1293522ca4 + + + 8.0 + "Risk Report is a document that summarizes information on individual project risks and the level of overall project risk, as described in Risk Management Plan." + "reporting, risk management" + chunk-f951826f2c8c5d12392c15b9e39300ae + + + 1.0 + "Kelly is the author of the book 'Continuous Digital: An Agile Alternative to Projects("entity" + "Project Management Institute" + chunk-5b470bffecabfc0b8d557efa60e80fb8 + + + 8.0 + "PMI provides guidance for Project Managers to lead project teams effectively." + "leadership, guidance" + chunk-44560986014a57dff0ad84aa387bfc50 + + + 5.0 + "RFI and RFQ are related technologies used in project management, both requesting information from prospective sellers." + "related technologies, project management" + chunk-0b9b64e1de90c504763ea89d2acc71f6 + + \ No newline at end of file diff --git a/local_neo4jWorkDir/kv_store_full_docs.json b/local_neo4jWorkDir/kv_store_full_docs.json new file mode 100644 index 00000000..9bb4ff51 --- /dev/null +++ b/local_neo4jWorkDir/kv_store_full_docs.json @@ -0,0 +1,5 @@ +{ + "doc-09d2082516a44514c47c9a1e689c9bec": { + "content": "AND The St/a.alt2nd/a.alt2rd \nfor Project M/a.alt2n/a.alt2gementSeventh Edition\nA /G.alt1/u.alt1ide to the Project \nM/a.alt2n/a.alt2gement Bod/y.alt1 of /K.alt1nowledge\nPMBO/K.alt1® /G.alt1UIDE\nANSI/PMI 99/hyphen.case001/hyphen.case2021GLOBAL STANDARDPMBOK®Guide – Seventh Edition \nAND The Standard for Project Management\nOver the past few years, emerging technology, new approaches, and rapid market changes \ndisrupted our ways of working, driving the project management profession to evolve. Eachindustry, organization and project face unique challenges, and team members must adapttheir approaches to successfully manage projects and deliver results.\nWith this in mind, A Guide to the Project Management Body of Knowledge (PMBOK\n® Guide) – \nSeventh Edition takes a deeper look into the fundamental concepts and constructs of the \nprofession. \nIncluding both The Standard for Project Management and the PMBOK® Guide , this edition \npresents 12 principles of project management and eight project performance domains \nthat are critical for effectively delivering project outcomes. \nThis edition of the PMBOK® Guide :\n• Reflects the full range of development approaches (predictive, traditional, adaptive, \nagile, hybrid, etc.);\n• Devotes an entire section to tailoring development approaches and processes;\n• Expands the list of tools and techniques in a new section, “Models, Methods, and \nArtifacts”;\n• Focuses on project outcomes, in addition to deliverables; and\n• Integrates with PMIstandards +™, giving users access to content that helps them apply \nthe PMBOK® Guide on the job.\nThe result is a modern guide that better enables project team members to be proactive, innovative, and nimble in delivering project outcomes.A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition \nand The Standard for Project Management\nProject Management Institute \nGlobal Headquarters \n14 Campus Boulevard \nNewtown Square, PA 19073 USA \nTel: +1 610 356 4600 \nPMI.org\nPMBOK_Guide_7thED_cover_spread.indd 1PMBOK_Guide_7thED_cover_spread.indd 1 5/3/21 4:57 PM5/3/21 4:57 PMPMI Seventh Edition July 2021THE STANDARD FOR \nPROJECT MANAGEMENT\nandA GUIDE TO THE PROJECT \nMANAGEMENT BODY \nOF KNOWLEDGE\n(PMBOK® GUIDE )\nSeventh Edition\nPMI Seventh Edition July 2021Library of Congress Cataloging-in-Publication Data\nNames: Project Management Institute, publisher. \nTitle: The standard for project management and a guide to the project management body \nof knowledge (PMBOK guide).\nOther titles: Guide to the project management body of knowledge (PMBOK guide) | PMBOK guide \nDescription: Seventh edition. | Newtown Square, Pennsylvania: Proje ct Management Institute, Inc., \n[2021] | Includes bibliographical references and index. | Summary: \"Over the past few years, emerging \ntechnology, new approaches, and rapid market changes disrupted our ways of working, driving \nthe project management professio n to evolve. Each industry, organization and pro ject face unique \nchallenges, and team members mus t adapt their approaches to successfully manage projects and \ndeliver result s. With this in mind, A Guide to the Project Management Body of Kno wledge (PMBOK® \nGuide) - Seventh Edition takes a deeper look into the fundamental concepts and co nstructs of the \nprofession. Incl uding both The Standard for Proje ct Management and the PMBOK® Guide, this edition \npresents 12 princi ples of project management and eight project perfo rmance domains t hat are critical \nfor effectively de livering project outcomes. This edition of the PMBOK® Guide: Reflects t he full range o f \ndevelopment appro aches (predictive, traditional, adaptive, agile, hybrid, etc.); D evotes an entire section \nto tailoring dev elopment approaches and processes; Expands the lis t of tools and t echniques in a ne w \nsection, \"Models, Methods, and Artifacts\"; Focuses on project outco mes, in addition t o deliverables; and \nIntegrates with PMIstandards+, giv ing users acc ess to content that helps them apply the PMBOK® Guide \non the job. The result is a mo dern guide that betters enables project team members to be proactiv e, \ninnovative, and nimble in del ivering project outcomes.\" – Provided by publisher.\nIdentifiers: LCCN 2021011107 (print) | LCCN 2021011108 (ebook) | ISBN 9781628256642 (paperback) \n| ISBN 9781628256659 (epub) | ISBN 9781628256666 (kindle edition) | ISBN 9781628256673 (pdf)\nSubjects: LCSH: Project management–Standards\nClassification: LCC HD69.P75 G845 2021 (print) | LCC HD69.P75 (ebook) | DDC 658.4/04–dc23\nLC record available at https://lccn.loc.gov/2021011107\nLC ebook record available at https://lccn.loc.gov/2021011108\nPMI Seventh Edition July 2021A Guide to the Project Management Body of Knowledge (PMBOK Guide) -- Seventh Edition \nand The Standard for Project Management\nISBN: 978-1-62825-664-2Published by: \nProject Management Institute, Inc.\n14 Campus BoulevardNewtown Square, Pennsylvania 19073-3299 USAPhone: +1 610 356 4600Email: customercare@pmi.orgInternet: \nwww.PMI.org\n©2021 Project Management Institute, Inc. All rights reserved.\nOur copyright content is protected by U.S. intellectual property law that is recognized by most \ncountries. To republish or reproduce our content, you must obtain our permission. Please go to http://www.pmi.org/permissions for details.\nPMI, the PMI logo, PMBOK, OPM3, PMP, CAPM, PgMP, PfMP, PMI-RMP, PMI-SP, PMI-ACP, PMI-PBA, \nPROJECT MANAGEMENT JOURNAL, PM NETWORK, PMI TODAY, PULSE OF THE PROFESSION and \nthe slogan MAKING PROJECT MANAGEMENT INDISPENSABLE FOR BUSINESS RESULTS. are all marks \nof Project Management Institute, Inc. For a comprehensive list of PMI trademarks, contact the PMI\n \nLegal Department. All other trademarks, service marks, trade names, trade dress, product names and logos appearing herein are the property of their respective owners. Any rights not expressly granted herein are reserved.\nTo place an order or for pricing information, please contact Independent Publishers Group:\nIndependent Publishers Group\nOrder Department814 North Franklin StreetChicago, IL 60610 USAPhone: 800 888 4741Fax: +1 312 337 5985Email: orders@ipgbook.com (For orders only)\nPrinted in the United States of America. No part of this work may be reproduced or transmitted in any form or by any means, electronic, manual, photocopying, recording, or by any information storage and retrieval system, without prior written permission of the publisher.\nThe paper used in this book complies with the Permanent Paper Standard issued by the National \nInformation Standards Organization (Z39.48—1984).\n10 9 8 7 6 5 4 3 2 1\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021vNotice\nThe Project Management Inst itute , Inc. (PMI) standards and guideline publications, of which \nthe document contained herein is one, are developed through a voluntary consensus standards \ndevelopment process. This pro cess brings together volunteers and/or seeks out the views of persons \nwho have an interest in the to pic cov ered by this publication. While PMI administers the process \nand establishes rules to promo te fairness in the development o f consensus, it does not write the \ndocument and it does not independently test, evaluate, or verify the accuracy or completeness of any \ninformation or the soundness of any judgments contained in its standards and guideline publicati ons.\nPMI disclaims liability for any personal injury, property or other damages of any nature \nwhatsoever, whether special, indirect, consequential or compensato ry, directly or indirectly resulting \nfrom the publication, use of application, or reliance on this document. PMI disclaims and makes no \nguaranty or warranty, expresse d or implied, as to the accuracy or co mpleteness of any informatio n \npublished herein, and disclaims and makes no warranty that the info rmation in this document wi ll \nfulfill any of your particular purposes or needs. PMI does not undertake to guarantee the perfo rmance \nof any individual manufacturer or se ller’s products or services by vi rtue of this standard or guide.\nIn publishing and making this document available, PMI is not undertaking to render professional \nor other services for or on behalf of any person or entity, no r is PMI undertaking to perform any \nduty owed by any person or entity to someone else. Anyone using t his do cument should rely on his \nor her own independent judgment or, as appropriate, seek the advice of a competent professional \nin determining the exercise o f reasonable care in any given circum stances. Information and other \nstandards on the topic covered by this publication may be avail able from other sources, which t he \nuser may wish to consult for additional views or information no t covered by this publication.\nPMI has no power, nor does it undertake to police or enforce compliance with the contents of \nthis document. PMI does not certify, test, or inspect products, designs, or installa tions for safety or \nhealth purposes. Any certification or other statement of compliance with any health or safety-related \ninformation in this document shall not be attributable to PMI and is solely the responsibility of the \ncertifier or maker of the statement.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021viiPreface\nEach time work begins on a new edition of The Standard for Project Management and the \nPMBOK® Guide, there is an opportunity to consider global perspectives on changes in project \nmanagement and the approaches used for realizing benefits and value from project outputs. In \nthe time between every edition, a world of change has occurred. Some organizations have ceased to exist, and new organizations have emerged. Older technologies have reached end of life while technologies offering completely new capabilities have evolved. People who continue in the workforce have advanced their thinking, skills, and capabilities as new entrants focus on quickly understanding their professional language, building their skills, developing their business acumen, and contributing to the objectives of their employers.\nEven in the midst of such changes, though, there are fundamental concepts and constructs \nthat remain in place. The understanding that collective thinking produces more holistic solutions than the thoughts of one individual continues. And the fact that organizations use projects as \na vehicle for delivering a unique result or output endures.\nCUSTOMER- AND END-USER-CENTERED DESIGN\nWhile the Sixth Edition of the PMBOK® Guide was under development and throughout development \nof this Seventh Edition, PMI has actively engaged with a broad range of global stakeholders on their experiences with using The Standard for Project Management and the PMBOK\n® Guide. These engagements \nhave included:\n▶Online surveys to representative samples of PMI stakeholders;\n▶Focus groups with PMO leaders, project managers, agile practitioners, project team\nmembers, and educators and trainers; and\n▶Interactive workshops with practitioners at various PMI events around the globe.\nPMI Seventh Edition July 2021viiiThe feedback and inputs collectively emphasized four key points:\n▶Maintain and enhance the credibility and relevance of the PMBOK® Guide.\n▶Improve the readability and usefulness of the PMBOK® Guide while avoiding overstuffing\nit with new content.\n▶Sense stakeholder information and content needs and provide vetted supplemental\ncontent supporting practical application.\n▶Recognize that there is continued value for some stakeholders in the structure and content\nof previous editions so that any shifts enhance without negating that value.\nSUSTAINING THE RELEVANCE OF THE PMBOK® GUIDE\nSince its inception as the Project Management Body of Knowledge (PMBOK) in 1987, A Guide to the \nProject Management Body of Knowledge (PMBOK® Guide) has evolved while recognizing that fundamental \nelements of project management endure. Its evolution has not just involved an increase in the page \ncount, it has also involved significant and substantive changes in the nature of the content. A sampling of some of those key changes is reflected in the following table:\nPMI Seventh Edition July 2021ixEvolution of Key Changes in the PMBOK® Guide\nPMBOK® Guide\nEditionKey Evolutionary Changes\n•Distinguished as “a guide to the body of knowledge, ” rather than the body of knowledge for project\nmanagement.\n•Reflected the subset of the project management body of knowledge that is “generally accepted, ” \nmeaning applicable to most projects most of the time with widespread consensus that practices ha ve\nvalue and usefulness.\n•Defined project management as “the application of knowledge, skills, tools, and techniques to project\nactivities in order to meet or exceed stakeholder needs and expectations [emphasis added] from\na project. ”\n•Specific decision to shift to a process-based standard driven by a desire to show interactions among\nKnowledge Areas; create a robust and flexible structure; and recognize that ISO and other standardsorganizations were establishing process-based standards.\n•First edition to incorporate the “ANSI Standard” logo on the co ver.\n•First edition to formally designate The Standard for Project Management of a Project separate and\ndistinct from the Project Management Frame work and Body of Knowledge.\n•Included material “generally recognized as good practice on most projects most of the time. ”\n•Defined project management as “the application of knowledge, skills, tools, and techniques to project\nactivities to meet the project requirements.”\n•First edition to make a distinct separation between the ANSI standard and the guide.\n•First time “agile” content is incorporated into the text, not just referenced in examples.\n•Expansion of Knowledge Area front material, including ke y concepts, trends and emerging practices, \ntailoring considerations, and considerations for agile/adaptive environments.1996\nThird (2004)\nSixth (2017)\nPMI Seventh Edition July 2021xLike previous editions of The Standard for Project Management and the PMBOK® Guide, this \nedition recognizes that the project management landscape continues to evolve and adapt. Over the \npast 10 years alone, the advancement of software into all types of products, services, and solutions has grown exponentially. What software can enable continues to change as artificial intelligence, cloud-based capabilities, and new business models drive innovation and new ways of working. Transformed organizational models have yielded new project work and team structures, the need for a broad range of approaches to project and product delivery, and a stronger focus on outcomes rather than deliverables. Individual contributors can join project teams from anywhere in the world, serve in a broader array of roles, and enable new ways of thinking and working collaboratively. These changes and more have created this opportunity to reconsider perspectives to support the continued evolution of The Standard for Project Management and the PMBOK\n® Guide.\nSUMMARY OF CHANGES\nSince 1987, The Standard for Project Management has represented a process-based standard. \nThe Standard for Project Management included in the PMBOK® Guide aligned the project management \ndiscipline and function around a collection of business processes. Those business processes enabled consistent and predictable practices:\n▶That could be documented;\n▶Through which performance against the processes could be assessed; and\n▶Through which improvements to the process could be made to maximize efficiency\nand minimize threats.\nWhile effective in supporting good practice, process-based standards are prescriptive by their \nvery nature. With project management evolving more rapidly than ever before, the process-based orientation of past editions cannot be maintained in a manner conducive to reflecting the full value delivery landscape. Therefore, this edition shifts to a principles-based standard to support effective project management and to focus more on intended outcomes rather than deliverables.\nPMI Seventh Edition July 2021xiA global community of practitioners from different industries and organizations, in different \nroles, and working on different types of projects have developed and/or provided feedback on drafts \nof the standard as it has evolved for this edition. In addition, the PMBOK® Guide – Seventh Edition \ncoleaders and staff reviewed other bodies of knowledge and works focused on project management \nto identify principle concepts embedded in those texts. These combined e fforts showed strong \nalignment and supported the validation that the guiding principles in this edition of the standard \napply across the spectrum of project management.\nTo date, the global project management community has embraced the shift of this standard \ntoward a set of principle statements. The principle statements capture and summarize generally \naccepted objectives for the practice of project management and its core functions. The principle \nstatements provide broad parameters within which project teams can operate and o ffer many ways \nto remain aligned with the intent of the principles.\nUsing these principle statements, PMI can reflect effective management of projects across the \nfull value delivery landscape: predictive to adaptive and everything in between. This principles-based \napproach is also consistent with the evolution of The Standard for Program Management (Third and \nFourth Editions) and The Standard for Portfolio Management – Fourth Edition. The Standard for Risk \nManagement in Portfolios, Programs, and Projects and Benefits Realization Management: A Practice Guide \nrepresent new standard products intentionally developed with a principles-based focus by global \nteams of subject matter experts.\nNothing in this edition of The Standard for Project Management or A Guide to the Pr oject \nManagement Body o f Knowledge negates alignment with the process-base d approach of past \neditions. Many organizations and practitioners co ntinue to find that approach useful for guiding \ntheir project management capabilities, aligning their methodologi es, and evaluating their project \nmanagement capabilities. That appro ach remains relev ant in the context of this new edi tion.\nAnother significant change with this edition of the PMBOK® Guide is a systems view of project \nmanagement. This shift begins with a systems view of value delivery as part of The Standard for \nProject Management and continues with the presentation of the PMBOK® Guide content. A systems \nfocus for value delivery changes the perspective from one of governing portfolios, programs, and \nprojects to focusing on the value chain that links those and other business capabilities to advancing \norganizational strategy, value, and business objectives. In the context of project management, \nThe Standard for Project Management and the PMBOK® Guide emphasize that projects do not simply \nproduce outputs, but more importantly, enable those outputs to drive outcomes that ultimately \ndeliver value to the organization and its stakeholders.\nPMI Seventh Edition July 2021xiiThis systems vie w reflects a shift from the Knowledge Areas in past editions of t he PMBOK® Guide \nto eight project pe rformance domains. A performance domain is a gro up of related activities that are \ncritical for the effective delivery of project outcomes. Collectively, the performance domains represent \na project manageme nt system of int eractive, interrelated, and int erdependent management capabilitie s \nthat work in uniso n to achieve desired project outcomes. As the performance domains interact and react \nto each other, change occurs. Project teams continuously review, discuss, adapt, and respond to such \nchanges with the whole system in mind—not just the s pecific performance domain in which the change \noccurred. Aligned with the concept of a system for v alue delivery in The Standard f or Project Management , \nteams evaluate effective performanc e in each performance domain thro ugh outcomes-fo cused \nmeasures, rather than through adhe rence to processes or the product ion of artifacts , plans, etc.\nPrevious editions of the PMBOK® Guide emphasized the importance of tailoring the project \nmanagement approach to the unique characteristics of each project and its context. The Sixth \nEdition specifically incorporated considerations to help project teams think about how to tailor their \napproach to project management. That content was included in the front matter of each of the \nKnowledge Areas and provided considerations for all types of project environments. This edition \nfurther expands upon that work with a dedicated section on Tailoring in the PMBOK® Guide.\nA new section on Models, Methods, and Artifacts provides a high-level grouping of models, \nmethods, and artifacts that support project management. This section maintains linkages to \ntools, techniques, and outputs from previous editions that support project management without \nprescribing when, how, or which tools teams should use.\nThe final change reflects the most significant advancement in the PMBOK® Guide’s history— \nthe creation of PMIstandards+™, an interactive digital platform that incorporates current, emerging, \nand future practices, methods, artifact s, and other useful informatio n. The digital content bet ter \nreflects the dynamic nature of a bo dy of knowledge. PMIstandards + provides project practitioners \nand o ther stakeholders with access to a richer and broader range o f info rmation and resources \nthat can more quickly accommodate advances and changes in proje ct management. The content \nexplai ns how specific practices, met hods, or artifacts apply to projects based on industry segments, \nproject types, or other characteristics. Starting with the inputs, tools and techniques, and outputs \nfrom the PMBOK® Guide – Sixth Edition, PMIstandards+ will continue to incorporate new resources \nthat support continued evoluti on in project management. Going fo rward, users of The Standard \nfor Project Management and the PMBOK® Guide can find information i n PMIstandards+ that will \nsupplement the information included in the printed publication.\nThe following figure illustrates the revision to The Standard for Project Management and \nmigration from the Sixth to the Seventh Edition of the PMBOK® Guide, along with the connection \nto the PMIstandards+ digital platform.\nPMI Seventh Edition July 2021xiii•The platform links to the PMBOK® Guide via the Models, Methods, and Artifacts section while further expanding on that content.\n•Platform incorporates content from all PMI standards as well as content developed specifically for the platform.\n•Content reflects “how to…” in actual practice, including emerging practices.PMBOK® Guide – Sixth Edition\nA Guide to the Project Management \nBody of Knowledge:\n• Introduction, Project Environment, and Role of the \nProject Manager\n• Knowledge Areas\n• Integration \n• Scope• Schedule• Cost• Quality• Resources• Communications• Risk• Procurement• Stakeholders\nThe Standard for Project Management:\n• Initiating\n• Planning• Executing• Monitoring and Controlling• Closing\nAppendixes, Glossar y, and IndexPMBOK® Guide – Seventh Editio n\nThe Standard for Project Management:\n• Introduction\n• System for Value Delivery• Project Management Principles\n• Stewardship • Tailoring\n• Team • Quality\n• Stakeholders • Complexity• Value • Risk \n• Systems Thinking • Adaptability and Resiliency• Leadership • Change\nA Guide to the Project Management \nBody of Knowledge:\n• Project Performance Domains:\n•Tailoring\n• Models, Methods, and Artifacts\nAppendixes, Glossar y, and Index• Stakeholders\n•Team\n• Development\nApproach andLife Cycle•Planning\n•Project Wo rk\n•Delivery\n•Measurement\n•Uncertainty\nPMIstandards+TM Digital Content Platfor m\nRevision to The Standard for Project Management and Migration from the Sixth Edition to the Seventh \nEdition of the PMBOK® Guide and the PMIstandards+TM Digital Content Platform\nPMI Seventh Edition July 2021xivCONCLUSION\nThe Standard for Project Management and the PMBOK® Guide – Seventh Edition respond to all four \nelements that stakeholders have emphasized in their feedback. The revision maintains and enhances \nthe credibility and relevance of the PMBOK® Guide. It improves the readability and usefulness of the \nPMBOK® Guide. It recognizes that there is continued value for some stakeholders in the structure and \ncontent of previous editions and enhances the content in this edition without negating that value. Most importantly, it links with the PMIstandards+ digital content platform to respond to stakeholders’ needs with vetted supplemental content that supports practical application.\nPMI Seventh Edition July 2021xvTable of Contents\nTHE STANDARD FOR PROJECT MANAGEMENT\n1 INTRODUCTION .................................................................................. 3\n1.1 Purpose of The Standard for Project Management ..................... 3\n1.2 Key Terms and Concepts ............................................................ 4\n1.3 Audience for this Standard ......................................................... 5\n2 A SYSTEM FOR VALUE DELIVERY ....................................................... 7\n2.1 Creating Value ............................................................................ 7\n2.1.1 Value Delivery Components .............................................. 8\n2.1.2 Information Flow ............................................................ 11\n2.2 Organizational Governance Systems ........................................ 12\n2.3 Functions Associated with Projects .......................................... 12\n2.3.1 Provide Oversight and Coordination ............................... 13\n2.3.2 Present Objectives and Feedback ................................... 13\n2.3.3 Facilitate and Support .................................................... 14\n2.3.4 Perform Work and Contribute Insights ........................... 14\n2.3.5 Apply Expertise .............................................................. 15\n2.3.6 Provide Business Direction and Insight ........................... 15\n2.3.7 Provide Resources and Direction .................................... 15\n2.3.8 Maintain Governance ...................................................... 16\n2.4 The Project Environment .......................................................... 16\n2.4.1 Internal Environment ...................................................... 16\n2.4.2 External Environment ..................................................... 18\n2.5 Product Management Considerations ....................................... 18\nPMI Seventh Edition July 2021xvi3 PROJECT MANAGEMENT PRINCIPLES .............................................. 21\n3.1 Be a Diligent, Respectful, and Caring Steward ........................ 24\n3.2 Create a Collaborative Project Team Environment .................. 28\n3.3 Effectively Engage with Stakeholders .................................... 31\n3.4 Focus on Value ........................................................................ 34\n3.5 Recognize, Evaluate, and Respond to System Interactions .....37\n3.6 Demonstrate Leadership Behaviors ........................................ 40\n3.7 Tailor Based on Context .......................................................... 44\n3.8 Build Quality into Processes and Deliverables ........................ 47\n3.9 Navigate Complexity .............................................................. 50\n3.10 Optimize Risk Responses ........................................................ 53\n3.11 Embrace Adaptability and Resiliency ...................................... 55\n3.12 Enable Change to Achieve the Envisioned Future State ......... 58\nReferences ...................................................................................... 60\nINDEX ................................................................................................... 61\nPMI Seventh Edition July 2021xviiA GUIDE TO THE PROJECT MANAGEMENT \nBODY OF KNOWLEDGE (PMBOK® GUIDE)\n1.INTRODUCTION ................................................................................. 3\n1.1 Structure of the PMBOK® Guide ............................................... 3\n1.2 Relationship of the PMBOK® Guide \n and The Standard for Project Management ............................... 4\n1.3 Changes to the PMBOK® Guide ................................................ 6\n1.4 Relationship to PMIstandards+ ................................................. 6\n2.PROJECT PERFORMANCE DOMAINS ................................................. 7\n2.1 Stakeholder Performance Domain ............................................ 8\n2.1.1 Stakeholder Engagement .............................................. 10\n2.1.2 Interactions with Other Performance Domains .............. 14\n2.1.3 Checking Results ........................................................... 15\n2.2 Team Performance Domain ....................................................... 16\n2.2.1 Project Team Management and Leadership ................... 17\n2.2.2 Project Team Culture ..................................................... 20\n2.2.3 High-Performing Project Teams ..................................... 22\n2.2.4 Leadership Skills ........................................................... 23\n2.2.5 Tailoring Leadership Styles ............................................ 30\n2.2.6 Interactions with Other Performance Domains .............. 31\n2.2.7 Checking Results ........................................................... 31\n2.3 Development Approach and Life Cycle \nPerformance Domain ................................................................ 32\n2.3.1 Development, Cadence, and Life Cycle Relationship .....33\n2.3.2 Delivery Cadence .......................................................... 33\n2.3.3 Development Approaches ............................................. 35\n2.3.4 Considerations for Selecting \na Development Approach .............................................. 39\n2.3.5  Life  Cycle and Phase Definitions .................................... 42\n2.3.6 Aligning of Delivery Cadence, Development \nApproach, and Life Cycle ............................................... 46\n2.3.7 Interactions with Other Performance Domains .............. 49\n2.3.8 Measuring Outcomes .................................................... 50\nPMI Seventh Edition July 2021xviii2.4 Planning Performance Domain ................................................. 51\n2.4.1 Planning Overview ........................................................ 52\n2.4.2 Planning Variables ......................................................... 53\n2.4.3 Project Team Composition and Structure ....................... 63\n2.4.4 Communication ............................................................. 64\n2.4.5 Physical Resources ........................................................ 65\n2.4.6 Procurement ................................................................. 65\n2.4.7 Changes ........................................................................ 66\n2.4.8 Metrics .......................................................................... 66\n2.4.9 Alignment ..................................................................... 67\n2.4.10 Interactions with Other Performance Domains .............. 67\n2.4.11 Checking Results ........................................................... 68\n2.5 Project Work Performance Domain .......................................... 69\n2.5.1 Project Processes .......................................................... 71\n2.5.2 Balancing Competing Constraints .................................. 72\n2.5.3 Maintaining Project Team Focus .................................... 73\n2.5.4 Project Communications and Engagement .................... 73\n2.5.5 Managing Physical Resources ........................................ 73\n2.5.6 Working with Procurements .......................................... 74\n2.5.7 Monitoring New Work and Changes .............................. 76\n2.5.8 Learning throughout the Project ................................... 77\n2.5.9 Interactions with Other Performance Domains .............. 78\n2.5.10 Checking Results ........................................................... 79\n2.6 Delivery Performance Domain .................................................. 80\n2.6.1 Delivery of Value ........................................................... 81\n2.6.2 Deliverables .................................................................. 82\n2.6.3 Quality .......................................................................... 87\n2.6.4 Suboptimal Outcomes ................................................... 91\n2.6.5 Interactions with Other Performance Domains .............. 91\n2.6.6 Checking Results ........................................................... 92\n2.7 Measurement Performance Domain .......................................... 93\n2.7.1 Establishing Effective Measures .................................... 95\n2.7.2 What to Measure .......................................................... 98\n2.7.3 Presenting Information ............................................... 106\nPMI Seventh Edition July 2021xix2.7.4 Measurement Pitfalls ................................................... 111\n2.7.5 Troubleshooting Performance ..................................... 113\n2.7.6 Growing and Improving .............................................. 114\n2.7.7 Interactions with Other Performance Domains ............ 114\n2.7.8 Checking Results ......................................................... 115\n2.8 Uncertainty Performance Domain ........................................... 116\n2.8.1 General Uncertainty .................................................... 119\n2.8.2 Ambiguity ................................................................... 120\n2.8.3 Complexity .................................................................. 120\n2.8.4 Volatility ..................................................................... 122\n2.8.5 Risk ............................................................................. 122\n2.8.6 Interactions with Other Performance Domains ............ 128\n2.8.7 Checking Results ......................................................... 129\n3.TAILORING ..................................................................................... 131\n3.1 Overview ............................................................................... 131\n3.2 Why Tailor? ............................................................................ 133\n3.3 What to Tailor ........................................................................ 134\n3.3.1 Life Cycle and Development Approach Selection ........ 134\n3.3.2 Processes .................................................................... 135\n3.3.3 Engagement ................................................................ 136\n3.3.4 Tools ........................................................................... 136\n3.3.5 Methods and Artifacts ................................................ 136\n3.4 The Tailoring Process .............................................................. 137\n3.4.1 Select Initial Development Approach .......................... 138\n3.4.2 Tailor for the Organization .......................................... 139\n3.4.3 Tailor for the Project ................................................... 141\n3.5 Tailoring the Performance Domains ........................................ 145\n3.5.1 Stakeholders ............................................................... 147\n3.5.2 Project Team ............................................................... 147\n3.5.3 Development Approach and Life Cycle ........................ 148\n3.5.4 Planning ...................................................................... 148\n3.5.5 Project Work ............................................................... 149\n3.5.6 Delivery ...................................................................... 149\nPMI Seventh Edition July 2021xx3.5.7 Uncertainty ................................................................. 150\n3.5.8 Measurement .............................................................. 150\n3.6 Diagnostics ............................................................................. 151\n3.7 Summary ................................................................................ 152\n4.MODELS, METHODS, AND ARTIFACTS ........................................... 153\n4.1 Overview ............................................................................... 153\n4.2 Commonly Used Models ......................................................... 155\n4.2.1 Situational Leadership Models .................................... 155\n4.2.2 Communication Models ............................................... 157\n4.2.3 Motivation Models ...................................................... 158\n4.2.4 Change Models ........................................................... 160\n4.2.5 Complexity Models ..................................................... 164\n4.2.6 Project Team Development Models ............................. 166\n4.2.7 Other Models .............................................................. 168\n4.3 Models Applied Across Performance Domains ....................... 172\n4.4 Commonly Used Methods ...................................................... 174\n4.4.1 Data Gathering and Analysis ....................................... 174\n4.4.2 Estimating ................................................................... 178\n4.4.3 Meetings and Events ................................................... 179\n4.4.4 Other Methods ........................................................... 181\n4.5 Methods Applied Across Performance Domains ..................... 181\n4.6 Commonly Used Artifacts ....................................................... 184\n4.6.1 Strategy Artifacts ....................................................... 184\n4.6.2 Logs and Registers ...................................................... 185\n4.6.3 Plans ........................................................................... 186\n4.6.4 Hierarchy Charts ......................................................... 187\n4.6.5 Baselines ..................................................................... 188\n4.6.6 Visual Data and Information ........................................ 188\n4.6.7 Reports ....................................................................... 190\n4.6.8 Agreements and Contracts .......................................... 191\n4.6.9 Other Artifacts ............................................................ 192\n4.7 Artifacts Applied Across Performance Domains ..................... 192\nReferences .................................................................................... 196\nPMI Seventh Edition July 2021xxiAPPENDIX X1 \nCONTRIBUTORS AND REVIEWERS OF \nTHE ST\nANDARD FOR PROJECT MANAGEMENT AND \nA GUIDE TO THE PROJECT MANAGEMENT BODY\n \nOF KNOWLEDGE – SEVENTH EDITION .............................................. 197\nX1.1 Contributors ....................................................................... 197\nX1.2 PMI Staff ............................................................................ 206\nAPPENDIX X2 \nSPONSOR ............................................................................................ 207\nX2.1 Introduction ....................................................................... 207\nX2.2 The Sponsor Role ............................................................... 207\nX2.3 Lack of Engagement ........................................................... 208\nX2.4 Sponsor Behaviors .............................................................. 209\nX2.5 Conclusion .......................................................................... 210\nX2.6 Suggested Resources ......................................................... 210\nAPPENDIX X3 \nTHE PROJECT MANAGEMENT OFFICE ............................................... 211\nX3.1 Introduction ....................................................................... 211\nX3.2 The PMO Value Proposition—Why Have One? ................... 211\nX3.3 Key PMO Capabilities ........................................................ 213\nX3.4  Evolving  for Stronger  Benefits  Realization ......................... 214\nX3.5 Learn More about PMOs .................................................... 215\nX3.6 Suggested Resources ......................................................... 215\nAPPENDIX X4 \nPRODUCT ............................................................................................ 217\nX4.1 Introduction ....................................................................... 217\nX4.2 Global Market Shifts .......................................................... 219\nX4.3 Impact on Project Delivery Practices .................................. 221\nX4.4 Organizational Considerations \nfor Product Management ................................................... 221\nX4.5 Summary ............................................................................ 225\nX4.6 Suggested Resources ......................................................... 225\nPMI Seventh Edition July 2021xxiiAPPENDIX X5 \nRESEARCH AND DEVELOPMENT FOR \nTHE ST\nANDARD FOR PROJECT MANAGEMENT ................................. 227\nX5.1 Introduction ....................................................................... 227\nX5.2 The Move to a Principle-Based Standard ............................ 227\nX5.3 Research for The Standard for Project Management .......... 228\nX5.4 Standard Development Process .......................................... 229\nX5.5 Validating the Standard ...................................................... 230\nX5.6 Summary ............................................................................ 232\nGLOSSARY .......................................................................................... 233\n1.Inclusions and Exclusions .......................................................... 233\n2.Common Acronyms .................................................................. 234\n3.Definitions ................................................................................ 235\nINDEX ................................................................................................. 255\nPMI Seventh Edition July 2021xxiiiList of Figures and Tables\nTHE STANDARD FOR PROJECT MANAGEMENT\nFigure 2-1. Example of a System for Value Delivery ........................... 9\nFigure 2-2. Components of a Sample System for Value Delivery ......10\nFigure 2-3. Example of Information Flow ......................................... 11\nFigure 2-4. Sample Product Life Cycle .............................................. 19\nFigure 3-1. Overlap of Project Management \nand General Management Principles .............................. 22\nFigure 3-2. Be a Diligent, Respectful, and Caring Steward ............... 24\nFigure 3-3. Create a Collaborative Project Team Envir onment .......... 28\nFigure 3-4. Effectively Engage with Stakeholders ............................ 31\nFigure 3-5. Focus on Value ............................................................... 34\nFigure 3-6. Recognize, Evaluate, and Respond \nto System Interactions .................................................... 37\nFigure 3-7. Demonstrate Leadership Behaviors ................................ 40\nFigure 3-8. Tailor Based on Context ................................................. 44\nFigure 3-9. Build Quality into Processes and Deliverables ................ 47\nFigure 3-10. Navigate Complexity ...................................................... 50\nFigure 3-11. Optimize Risk Responses ................................................ 53\nFigure 3-12. Embrace Adaptability and Resiliency .............................. 55\nFigure 3-13. Enable Change to Achieve \nthe Envisioned Future State ........................................... 58\nPMI Seventh Edition July 2021xxivA GUIDE TO THE PROJECT MANAGEMENT \nBODY OF KNOWLEDGE (PMBOK® GUIDE)\nFigure 1-1. Relationship between Project Management \nPrinciples and Project Performance Domains .................... 5\nFigure 2-1. Stakeholder Performance Domain .................................... 8\nFigure 2-2. Examples of Project Stakeholders .................................... 9\nFigure 2-3. Navigating Effective Stakeholder Engagement .............. 10\nFigure 2-4. Team Performance Domain ............................................. 16\nFigure 2-5. Components of Emotional Intelligence ........................... 27\nFigure 2-6. Development Approach and Life Cycle \nPerformance Domain ...................................................... 32\nFigure 2-7. Development Approaches .............................................. 35\nFigure 2-8. Iterative and Incremental Development .......................... 37\nFigure 2-9. Sample Predictive Life Cycle .......................................... 43\nFigure 2-10. Life Cycle with an Incremental \nDevelopment Approach .................................................. 44\nFigure 2-11. Life Cycle with Adaptive Development Approach .......... 45\nFigure 2-12. Community Center Life Cycle ......................................... 48\nFigure 2-13. Planning Performance Domain ........................................ 51\nFigure 2-14. Estimate Range Decreases over Time ............................. 56\nFigure 2-15. Low Accuracy, High Precision ......................................... 56\nFigure 2-16. Fast Tracking Examples .................................................. 60\nFigure 2-17. Release and Iteration Plan .............................................. 61\nFigure 2-18. Budget Build Up ............................................................. 63\nFigure 2-19. Project Work Performance Domain ................................. 69\nFigure 2-20. Delivery Performance Domain ........................................ 80\nFigure 2-21. Scenario for Developing a Smart Watch ........................ 86\nFigure 2-22. Cost of Change Curve .................................................... 90\nFigure 2-23. Measurement Performance Domain ................................ 93\nFigure 2-24. Earned Value Analysis Showing Schedule \nand Cost Variance ......................................................... 101\nFigure 2-25. Mood Board ................................................................. 103\nFigure 2-26. Forecast of Estimate at Completion \nand Estimate to Complete ............................................ 105\nPMI Seventh Edition July 2021xxvFigure 2-27. Dashboard Example ...................................................... 107\nFigure 2-28. Information Radiator .................................................... 108\nFigure 2-29. Task Board or Kanban Board ........................................ 110\nFigure 2-30. Burnup Chart ................................................................ 111\nFigure 2-31. Planned and Actual Spend Rates .................................. 113\nFigure 2-32. Uncertainty Performance Domain ................................. 116\nFigure 2-33. Risk Reduction over Time ............................................. 124\nFigure 2-34. Risk-Adjusted ROI Curve ............................................. 126\nFigure 3-1. Details of the Steps in the Tailoring Process ................. 137\nFigure 3-2. Selecting the Initial Development Approach ................. 138\nFigure 3-3. Tailoring the Approach for the Organization ................ 139\nFigure 3-4. Assessing the Organizational and Project Factors \nWhen Tailoring .............................................................. 140\nFigure 3-5. Tailoring the Approach for the Project ......................... 143\nFigure 3-6. Implement Ongoing Improvement ................................ 144\nFigure 3-7. The Tailoring Process .................................................... 145\nFigure 3-8. Tailoring to Fit the Project Context .............................. 146\nFigure 4-1. Tailoring to Fit the Project Context \nand Environment .......................................................... 154\nFigure X4-1. Global Business  Trends Influencing  \nthe Management of Products ....................................... 219\nFigure X4-2. The Changing Relationship Between \nan Organization and Its Customers ............................... 220\nFigure X4-3. Supporting Strategies for Continuous \nValue Delivery .............................................................. 222\nTable 2-1. Types of Communication ................................................. 13\nTable 2-2. Checking Outcomes—Stakeholder \nPerformance Domain ...................................................... 15\nTable 2-3. Checking Outcomes—Team Performance Domain ........... 31\nTable 2-4. Delivery Cadence and Development Approach ............... 46\nTable 2-5. Checking Outcomes—Development Approach \nand Life Cycle Performance Domain ............................... 50\nTable 2-6. Checking Outcomes—Planning \nPerformance Domain ...................................................... 68\nPMI Seventh Edition July 2021xxviTable 2-7. Checking Outcomes—Project Work \nPerformance Domain ...................................................... 79\nTable 2-8. Checking Outcomes—Delivery \nPerformance Domain ...................................................... 92\nTable 2-9. Checking Outcomes—Measurement \nPerformance Domain .................................................... 115\nTable 2-10. Checking Outcomes—Uncertainty \nPerformance Domain .................................................... 129\nTable 3-1. Common Situations and Tailoring Suggestions .............. 151\nTable 4-1. Mapping of Models Likely to Be Used \nin Each Performance Domain ........................................ 173\nTable 4-2. Mapping of Methods Likely to Be Used \nin Each Performance Domain ........................................ 182\nTable 4-3. Mapping of Artifacts Likely to Be Used \nin Each Performance Domain ........................................ 193\nTable X4-1. Views of Project and Product Management .................. 217\nTable X4-2. Unique Characteristics of Projects, \nPrograms, and Products ............................................... 224\nPMI Seventh Edition July 2021THE \nSTANDARD FOR PROJECT MANAGEMENT\nPMI Seventh Edition July 2021PMI Seventh Edition July 20213Introduction\nThe Standard for Project Management identifies project management principles that guide the \nbehaviors and actions of project professionals and other stakeholders who work on or are engaged \nwith projects.\nThis introductory section describes the purpose of this standard, defines key terms and \nconcepts, and identifies the audience for the standard.\nThe Standard for Project Management consists of the following sections:\n▶Section 1 Introduction\n▶Section 2 A System for Value Delivery\n▶Section 3 Project Management Principles\n1.1 PURPOSE OF THE STANDARD FOR PROJECT MANAGEMENT\nThe Standard for Project Management provides a basis for understanding project management \nand how it enables intended outcomes. This standard applies regardless of industry, location, size, or delivery approach, for example, predictive, hybrid, or adaptive. It describes the system within which projects operate, including governance, possible functions, the project environment, and considerations for the relationship between project management and product management.1\nPMI Seventh Edition July 20214\nThe Standard for Project Management1.2 KEY TERMS AND CONCEPTS\nThe Standard for Project Management reflects the progression of the profession. Organizations \nexpect projects to deliver outcomes in addition to outputs and artifacts. Project managers are \nexpected to deliver projects that create value for the organization and stakeholders within the organization’s system for value delivery. The following terms are defined to provide context for the content in this standard.\n▶Outcome. An end result or consequence of a process or project. Outcomes can includeoutputs and artifacts, but have a broader intent by focusing on the benefits and value thatthe project was undertaken to deliver.\n▶Portfolio. Projects, programs, subsidiary portfolios, and operations managed as a group\nto achieve strategic objectives.\n▶Product. An artifact that is produced, is quantifiable, and can be either an end item in itselfor a component item.\n▶Program. Related projects, subsidiary programs, and program activities that are managed\nin a coordinated manner to obtain benefits not available from managing them individually.\n▶Project. A temporary endeavor undertaken to create a unique product, service, or result.\nThe temporary nature of projects indicates a beginning and an end to the project work or\na phase of the project work. Projects can stand alone or be part of a program or portfolio.\n▶Project management. The application of knowledge, skills, tools, and techniques to\nproject activities to meet project requirements. Project management refers to guiding theproject work to deliver the intended outcomes. Project teams can achieve the outcomesusing a broad range of approaches (e.g., predictive, hybrid, and adaptive).\n▶Project manager. The person assigned by the performing organization to lead the project\nteam that is responsible for achieving the project objectives. Project managers perform\na variety of functions, such as facilitating the project team work to achieve the outcomesand managing the processes to deliver intended outcomes. Additional functions areidentified in Section 2.3.\nPMI Seventh Edition July 20215\nSection 1 – Introduction▶Project team. A set of individuals performing the work of the project to achieve\nits objectives.\n▶System for value delivery. A collection of strategic business activities aimed at building,\nsustaining, and/or advancing an organization. Portfolios, programs, projects, products,\nand operations can all be part of an organization’s system for value delivery.\n▶Value. The worth, importance, or usefulness of something. Different stakeholders perceive\nvalue in different ways. Customers can define value as the ability to use specific featuresor functions of a product. Organizations can focus on business value as determined withfinancial metrics, such as the benefits less the cost of achieving those benefits. Societalvalue can include the contribution to groups of people, communities, or the environment.\nFor other terms used in this standard, refer to the Glossary and the PMI Lexicon of Project \nManagement Terms [1].\n1\n1.3 AUDIENCE FOR THIS STANDARD\nThis standard provides a foundational reference for stakeholders participating in a project. \nThis includes, but is not limited to, project practitioners, consultants, educators, students, sponsors, stakeholders, and vendors who:\n▶Are responsible or accountable for delivering project outcomes;\n▶Work on projects full or part time;\n▶Work in portfolio, program, or project management offices (PMOs);\n▶Are involved in project sponsorship, product ownership, product management,\nexecutive leadership, or project governance;\n▶Are involved with portfolio or program management;\n▶Provide resources for project work;\n▶Focus on value delivery for portfolios, programs, and projects;\n▶Teach or study project management; and\n▶Are involved in any aspect of the project value delivery chain.\n1 The numbers in brackets refer to the list of references at the end of this standard.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20217\nSection 2 – A System for Value DeliveryThe information in this section provides a context for value delivery, governance, project \nfunctions, the project environment, and product management.\n▶Section 2.1 Creating Value. This section describes how projects operate within a system\nto produce value for organizations and their stakeholders.\n▶Section 2.2 Organizational Governance Systems. This section describes how governance\nsupports a system for value delivery.\n▶Section 2.3 Functions Associated with Projects. This section identifies the functions\nthat support projects.\n▶Section 2.4 The Project Environment. This section identifies internal and external\nfactors that influence projects and the delivery of value.\n▶Section 2.5 Product Management Considerations. This section identifies the ways\nportfolios, programs, projects, and products relate.\n2.1 CREATING VALUE\nProjects exist within a larger system, such as a governmental agency, organization, or contractual \narrangement. For the sake of brevity, this standard uses the term organization when referring to \ngovernment agencies, enterprises, contractual arrangements, joint ventures, and other arrangements. \nOrganizations create value for stakeholders. Examples of ways that projects produce value include, but are not limited to:A System for Value Delivery2\nPMI Seventh Edition July 20218\nThe Standard for Project Management▶Creating a new product, service, or result that meets the needs of customers or end users;\n▶Creating positive social or environmental contributions;\n▶Improving efficiency, productivity, effectiveness, or responsiveness;\n▶Enabling the changes needed to facilitate organizational transition to its desired future\nstate; and\n▶Sustaining benefits enabled by previous programs, projects, or business operations.\n2.1.1 VALUE DELIVERY COMPONENTS\nThere are various components, such as portfolios, programs, projects, products, and \noperations, that can be used individually and collectively to create value. Working together, these \ncomponents comprise a system for delivering value that is aligned with the organization’s strategy. Figure 2-1 shows an example of a system to deliver value that has two portfolios comprised of programs and projects. It also shows a stand-alone program with projects and stand-alone projects not associated with portfolios or programs. Any of the projects or programs could include products. Operations can directly support and influence portfolios, programs, and projects, as well as other business functions, such as payroll, supply chain management, and so forth. Portfolios, programs, and projects influence each other as well as operations.\nPMI Seventh Edition July 20219\nSection 2 – A System for Value DeliveryAs shown in Figure 2-2, a system for value delivery is part of an organization’s internal \nenvironment that is subject to policies, procedures, methodologies, frameworks, governance \nstructures, and so forth. That internal environment exists within the larger external environment, which includes the economy, the competitive environment, legislative constraints, etc. Section 2.4 provides more detail on internal and external environments.System for Va lue Deliver y\nOperationsProgram A.1Portfolio A\nProgram A.2\nProjectsPortfolio B\nProgram B.1\nProjectsProjectsProgram N.1\nProjectsProjects\nFigure 2-1. Example of a System for Value Delivery\nPMI Seventh Edition July 202110\nThe Standard for Project ManagementThe components in a value delivery system create deliverables used to produce outcomes. An \noutcome is the end result or consequence of a process or a project. Focusing on outcomes, choices, \nand decisions emphasizes the long-range performance of the project. The outcomes create benefits, which are gains realized by the organization. Benefits, in turn, create value, which is something of worth, importance, or usefulness.Exter nal En vironment\nInternal En vironment\nSystem for Value Deliver y\nOperationsProgram A.1Portfolio A\nProgram A.2\nProjectsPortfolio B\nProgram B.1\nProjectsProjectsProgram N.1\nProjectsProjects\nFigure 2-2. Components of a Sample System for Value Delivery\nPMI Seventh Edition July 202111\nSection 2 – A System for Value Delivery2.1.2 INFORMATION FLOW\nA value delivery system works most effectively when information and feedback are shared \nconsistently among all components, keeping the system aligned with strategy and attuned to \nthe environment.\nFigure 2-3 shows a model of the flow of information where black arrows represent information \nfrom senior leadership to portfolios, portfolios to programs and projects, and then to operations. \nSenior leadership shares strategic information with portfolios. Portfolios share the desired outcomes, benefits, and value with programs and projects. Deliverables from programs and projects are passed on to operations along with information on support and maintenance for the deliverables.\nThe light gray arrows in Figure 2-3 represent the reverse flow of information. Information \nfrom operations to programs and projects suggests adjustments, fixes, and updates to deliverables. Programs and projects provide performance information and progress on achieving the desired outcomes, benefits, and value to portfolios. Portfolios provide evaluations on portfolio performance with senior leadership. Additionally, operations provide information on how well the organization’s strategy is advancing.\nPortfolio performance\ninformationPerformance information\nand progress\nOutcomes, Benefits, Value Performance AnalysisStrategyDesired outcomes,\nbenefits, and va lue\nInformation for updates,\nfixes, and adjustmentsDeliverables with support\nand maintenance information\nSenior\nLeadershipPortfoliosPrograms\nand ProjectsOperations\nFigure 2-3. Example of Information Flow\nPMI Seventh Edition July 202112\nThe Standard for Project Management2.2 ORGANIZATIONAL GOVERNANCE SYS TEMS\nThe governance system works alongside the value delivery system to e nable smooth workflows, \nmanage issues, and support decis ion making. Gov ernance systems prov ide a framework with functions \nand processes that guide activ ities. A governance framework can i nclude elements o f oversight, control, \nvalue assessment, integration among components, and decision-making capabilities.\nGovernance systems provide an integrated structure for evaluating changes, issues, and risks \nassociated with the environment and any component in the value delivery system. This includes \nportfolio objectives, program benefits, and deliverables produced by projects.\nProjects can ope rate within a program or portfolio or as a stand-alone activity. In some \norganizations, a project management office might support programs and projects withi n a \nportfolio. Project governance inc ludes defining the authority to appro ve changes and make other \nbusiness decisio ns related to the project. Project governance is aligned with program and/or \norganizational governance.\n2.3 FUNCTIONS ASSOCIATED WITH PR OJE CTS\nPeople drive project delivery. They do so by fulfilling functions necessary for the project to run \neffectively and efficiently. Functions related to the project can be fulfilled by one person, by a group \nof people, or combined into defined roles.\nCoordinating a collective work effort is extremely important to the success of any project. \nThere are different types of coordination suitable for different contexts. Some projects benefit from \ndecentralized coordination in which project team members self-organize and self-manage. Other \nprojects benefit from centralized coordination with the leadership and guidance of a designated \nproject manager or similar role. Some projects with centralized coordination can also bene fit from \nincluding self-organized project teams for portions of the work. Regardless of how coordination takes \nplace, supportive leadership models and meaningful, continuous engagements between project \nteams and other stakeholders underpin successful outcomes.\nPMI Seventh Edition July 202113\nSection 2 – A System for Value DeliveryRegardless of how projects are coordinated, the collective effort of the project team delivers the \noutcomes, benefits, and value. The project team may be supported by additional functions depending \non the deliverables, industry, organization, and other variables. Sections 2.3.1 through 2.3.8 provide examples of functions that are often found on projects, though these are not a comprehensive list. In addition to these functions, other functions may be necessary to enable project deliverables that produce the desired outcomes. The needs of the project, organization, and environment influence which functions are used on a project and how those functions are carried out.\n2.3.1 PROVIDE OVERSIGHT AND COORDINATION\nPeople in this function help the project team achieve the project objectives, typically by \norchestrating the work of the project. The specifics of how this function is carried out within the project team can vary among organizations, but can include leading the planning, monitoring, and controlling activities. In some organizations, this function may involve some evaluation and analysis activities as part of pre-project activities. This function includes monitoring and working to improve the health, safety, and overall well-being of project team members.\nCoordination includes consulting with executive and business unit leaders on ideas for advancing \nobjectives, improving project performance, or meeting customer needs. It can also include assisting in business analysis, tendering and contract negotiations, and business case development.\nOversight can be involved in follow-on activities related to benefits realization and sustainment \nafter the project deliverables are finalized but before formal closure of the project. This function can support portfolios and programs within which the project is initiated. Ultimately, the function is tailored to fit the organization.\n2.3.2 PRESENT OBJECTIVES AND FEEDBACK\nPeople in this function contribute perspectives, insights, and clear direction from customers and \nend users. The customer and end user are not always synonymous. For the purpose of this standard, the customer is defined as the individual or group who has requested or is funding the project. The end user is the individual or group who will experience the direct use of the project deliverable.\nPMI Seventh Edition July 202114\nThe Standard for Project ManagementProjects need clear direction from customers and end users regarding project requirements, \noutcomes, and expectations. In adaptive and hybrid project environments, the need for ongoing \nfeedback is greater because the project teams are exploring and developing product elements within \nspecific increments. In some project environments, the customer or end user engages with the \nproject team for periodic review and feedback. In some projects, a representative of the customer \nor client participates on the project team. The customer and end user input and feedback needs are \ndetermined by the nature of the project and the guidance or direction required.\n2.3.3 FACILI TATE AND SUPPORT\nThe function of facilitation and support may be closely related to providing oversight and \ncoordination, depending on the nature of the project. The work involves encouraging project team \nmember participation, collaboration, and a shared sense of responsibility for the work output. \nFacilitation helps the project team create consensus around solutions, resolve con flicts, and make \ndecisions. Facilitation is also required to coordinate meetings and contribute in an unbiased way \nto the advancement of project objectives.\nSupporting people through change and helping address obstacles that can prevent success is \nalso required. This can include evaluating performance and providing individuals and project teams \nwith feedback to help them learn, adapt, and improve.\n2.3.4 PERFORM WORK AND CONTRIBU TE INSI GHTS\nThis group of people provides the knowledge, skills, and experience necessary to produce the \nproducts and realize the outcomes of the project. Work can be full time or part time for the duration \nof the project or for a limited period, and the work can be colocated or virtual, depending on the \nenvironmental factors. Some work can be highly specialized, while other work can be done by project \nteam members who have broad skill sets.\nGaining insights from cross-functional project team members representing di fferent parts of \nthe organization can provide a mix of internal perspectives, establish alliances with key business \nunits, and encourage project team members to act as change agents within their functional areas. \nThis work can extend into support functions (during or after the project) as the project deliverables \nare implemented or transitioned into operations.\nPMI Seventh Edition July 202115\nSection 2 – A System for Value Delivery2.3.5 APPLY EXPERTISE\nPeople in this function provide the knowledge, vision, and expertise in a specific subject for \na project. They offer advice and support throughout the organization, and contribute to the project \nteam’s learning process and work accuracy. These people can be external to the organization \nor can be internal project team members. They can be required for the whole project or during \na specific time frame.\n2.3.6 PROVIDE BUSINESS DIRECTION AND INSIGHT\nPeople in this function guide and clarify the direction of the project or product outcome. \nThis function involves prioritizing the requirements or backlog items based on business value, dependencies, and technical or operational risk. People in this function provide feedback to project teams and set direction for the next increment or element to be developed or delivered. The function involves interacting with other stakeholders, customers, and their project teams to define the product direction. The goal is to maximize the value of the project deliverable.\nIn adaptive and hybrid environments, direction and insight can be provided using a specific \ncadence. In predictive environments, there can be designated checkpoints for presentation of and feedback on project progress. In some instances, business direction can interact with funding and resourcing functions.\n2.3.7 PROVIDE RESOURCES AND DIRECTION\nPeople in this function promote the project and communicate the organization’s vision, goals, \nand expectations to the project team and broader stakeholder community. They advocate for the project and the project team by helping to secure the decisions, resources, and authority that allow project activities to progress.\nPeople in this function serve as liaisons between senior management and the project team, \nplay a supporting role in keeping projects aligned to business objectives, remove obstacles, and address issues outside the bounds of the project team’s decision authority. People in this function provide an escalation path for problems, issues, or risks that project teams cannot resolve or manage on their own, such as a shortage of funding or other resources, or deadlines that cannot be met.\nPMI Seventh Edition July 202116\nThe Standard for Project ManagementThis function can facilitate innovation by identifying opportunities that arise within the project \nand communicating these to senior management. People in this function may monitor project \noutcomes after project closure to ensure the intended business bene fits are realized.\n2.3.8 MAINTAIN GOVERNANCE\nPeople who fill a governance function approve and support recommendations made by \nthe project team and monitor project progress in achieving the desired outcomes. They maintain \nlinkages between project teams and strategic or business objectives that can change over the course \nof the project.\n2.4 THE PROJECT ENVIRONMENT\nProjects exist and operate within internal and external environments that have varying degrees \nof influence on value delivery. Internal and external environments can influence planning and other \nproject activities. These influences can yield a favorable, unfavorable, or neutral impact on project \ncharacteristics, stakeholders, or project teams.\n2.4.1 INTERNAL ENVIRONMENT\nFactors internal to the organization can arise from the organization itself, a portfolio, a \nprogram, another project, or a combination of these. They include artifacts, practices, or internal \nknowledge. Knowledge includes lessons learned as well as completed artifacts from previous \nprojects. Examples include but are not limited to:\nPMI Seventh Edition July 202117\nSection 2 – A System for Value Delivery▶Process assets. Process assets may include tools, methodologies, approaches, templates,\nframeworks, patterns, or PMO resources.\n▶Governance documentation. This documentation includes policies and processes.\n▶Data assets. Data assets may include databases, document libraries, metrics, data, and\nartifacts from previous projects.\n▶Knowledge assets. Knowledge assets may include tacit knowledge among project team\nmembers, subject matter experts, and other employees.\n▶Security and safety. Security and safety measures may include procedures and practices\nfor facility access, data protection, levels of confidentiality, and proprietary secrets.\n▶Organizational culture, structure, and governance. These aspects of an organization\ninclude the vision, mission, values, beliefs, cultural norms, leadership style, hierarchy andauthority relationships, organizational style, ethics, and code of conduct.\n▶Geographic distribution of facilities and resources. These resources include work\nlocations, virtual project teams, and shared systems.\n▶Infrastructure. Infrastructure consists of existing facilities, equipment, organizational and\ntelecommunications channels, information technology hardware, availability, and capacity.\n▶Information technology software. Examples include scheduling software, configuration\nmanagement systems, web interfaces to online automated systems, collaboration tools,and work authorization systems.\n▶Resource availability. Examples include contracting and purchasing constraints, approved\nproviders and subcontractors, and collaboration agreements. Availability related to bothpeople and materials includes contracting and purchasing constraints, approved providersand subcontractors, and time lines.\n▶Employee capability. Examples include general and specialized expertise, skills,\ncompetencies, techniques, and knowledge.\nPMI Seventh Edition July 202118\nThe Standard for Project Management2.4.2 EXTERNAL ENVIRONMENT\nFactors external to the organization can enhance, constrain, or have a neutral influence on \nproject outcomes. Examples include but are not limited to:\n▶Marketplace conditions. Marketplace conditions include competitors, market share,\nbrand recognition, technology trends, and trademarks.\n▶Social and cultural influences and issues. These factors include political climate,\nregional customs and traditions, public holidays and events, codes of conduct, ethics,\nand perceptions.\n▶Regulatory environment. The regulatory environment may include national and regional\nlaws and regulations related to security, data protection, business conduct, employment,\nlicensing, and procurement.\n▶Commercial databases. Databases include standardized cost estimating data and\nindustry risk study information.\n▶Academic research. This research can include industry studies, publications, and\nbenchmarking results.\n▶Industry standards. These standards are related to products, production, environment,\nquality, and workmanship.\n▶Financial considerations. These considerations include currency exchange rates,\ninterest rates, inflation, taxes, and tariffs.\n▶Physical environment. The physical environment pertains to working conditions\nand weather.\n2.5 PRODUCT MANAGEMENT CONSIDERATIONS\nThe disciplines of portfolio, program, project, and product management are becoming more \ninterlinked. While portfolio, program, and product management are beyond the scope of this standard, understanding each discipline and the relationships between them provides a useful context for projects whose deliverables are products.\nPMI Seventh Edition July 202119\nSection 2 – A System for Value DeliveryA product is an artifact that is produced, is quantifiable, and can be either an end item itself \nor a component item. Product management involves the integration of people, data, processes, and \nbusiness systems to create, maintain, and develop a product or service throughout its life cycle. The product life cycle is a series of phases that represents the evolution of a product, from introduction through growth, maturity, and to retirement.\nProduct management may initiate programs or projects at any point in the product life cycle to \ncreate or enhance specific components, functions, or capabilities (see Figure 2-4). The initial product may begin as a deliverable of a program or project. Throughout its life cycle, a new program or project may add or improve specific components, attributes, or capabilities that create additional value for customers and the sponsoring organization. In some instances, a program can encompass the full life cycle of a product or service to manage the benefits and create value for the organization more directly.\nIntroduction Growth Maturity Decline/RetirementProject Usage, Sales, Impact\nTimeProject 3\n(Additions)\nProject 7\n(Retirement)Project 1\n(Initial Creation)Project 4\n(Revisions)\nProject 5\n(Revisions)\nProject 6\n(Revisions)Project 2\n(More Features)Program A Program BPortfolio Governance\nProduct\nLife Cycle\nPhases:\nFigure 2-4. Sample Product Life Cycle\nPMI Seventh Edition July 202120\nThe Standard for Project ManagementProduct management can exist in different forms, including but not limited to:\n▶Program management within a product life cycle. This approach incorporates related\nprojects, subsidiary programs, and program activities. For very large or long-running\nproducts, one or more product life cycle phases may be sufficiently complex to merit a setof programs and projects working together.\n▶Project management within a product life cycle. This approach oversees development\nand maturing of product capabilities as an ongoing business activity. Portfolio governancecharters individual projects as needed to perform enhancements and improvements or toproduce other unique outcomes.\n▶Product management within a program. This approach applies the full product life cycle\nwithin the purview and boundaries of a given program. A series of subsidiary programsor projects will be chartered to achieve specific benefits for a product. Those benefits canbe enhanced by applying product management competencies like competitive analysis,customer acquisition, and customer advocacy.\nWhile product management is a separate discipline with its own body of knowledge, \nit represents a key integration point within the program management and project management disciplines. Programs and projects with deliverables that include products use a tailored and integrated approach that incorporates all of the relevant bodies of knowledge and their related practices, methods, and artifacts.\nPMI Seventh Edition July 202121\nSection 3 – Project Management PrinciplesPrinciples for a profession serve as foundational guidelines for strategy, decision making, and \nproblem solving. Professional standards and methodologies are often based on principles. In some \nprofessions, principles serve as laws or rules, and are therefore prescriptive in nature. The principles of project management are not prescriptive in nature. They are intended to guide the behavior of \npeople involved in projects. They are broadly based so there are many ways individuals and organizations can maintain alignment with the principles.\nPrinciples can, but do not necessarily, reflect morals. A code of ethics is related to morals. \nA code of ethics for a profession can be adopted by an individual or profession to establish expectations for moral conduct. The PMI Code of Ethics and Professional Conduct [2] is based on \nfour values that were identified as most important to the project management community:\n▶Responsibility,\n▶Respect,\n▶Fairness, and\n▶Honesty.\nThe 12 principles of project management are aligned with the values identified in the PMI Code \nof Ethics and Professional Conduct. They do not follow the same format, and they are not duplicative, \nrather the principles and the Code of Ethics are complementary.\nThe principles of project management were identified and developed by engaging a global \ncommunity of project practitioners. The practitioners represent different industries, cultural backgrounds, and organizations in different roles and with experience in various types of projects. Multiple rounds of feedback resulted in 12 principles that provide guidance for effective project management.Project Management \nPrinciples3\nPMI Seventh Edition July 202122\nThe Standard for Project ManagementBecause the principles of project management provide guidance, the degree of application \nand the way in which they are applied are influenced by the context of the organization, project, \ndeliverables, project team, stakeholders, and other factors. The principles are internally consistent, meaning that no principle contradicts any other principle. However, in practice there may be times when the principles can overlap. For example, guidance for navigating complexity can present information that is useful in recognizing, evaluating, and responding to system interactions or optimizing risk responses.\nPrinciples of project management can also have areas of overlap with general management \nprinciples. For example, both projects and business in general focus on delivering value. The methods may be somewhat different in projects as opposed to operations, but the underlying principle associated with focusing on value can apply to both. Figure 3-1 demonstrates this overlap.\nProject\nManagement\nPrinciplesGeneral\nManagement\nPrinciples\nFigure 3-1. Overlap of Project Management and General Management Principles\nPMI Seventh Edition July 202123\nSection 3 – Project Management PrinciplesThe principle labels are listed here without any specific weighting or order. The principle \nstatements are presented and described in Sections 3.1 through 3.12. Each section begins with a \nfigure that provides the principle label across the top with the principle and key points under the label. Following the figure, each principle is elaborated in the text. The principle labels are:\n▶Be a diligent, respectful, and caring steward (see Section 3.1).\n▶Create a collaborative project team environment (see Section 3.2).\n▶Effectively engage with stakeholders (see Section 3.3).\n▶Focus on value (see Section 3.4).\n▶Recognize, evaluate, and respond to system interactions (see Section 3.5).\n▶Demonstrate leadership behaviors (see Section 3.6).\n▶Tailor based on context (see Section 3.7).\n▶Build quality into processes and deliverables (see Section 3.8).\n▶Navigate complexity (see Section 3.9).\n▶Optimize risk responses (see Section 3.10).\n▶Embrace adaptability and resiliency (see Section 3.11).\n▶Enable change to achieve the envisioned future state (see Section 3.12).\nPMI Seventh Edition July 202124\nThe Standard for Project Management3.1 BE A DILIGENT, RESPECTFUL, AND CARING STEWARD\nSTEWARDSHIP\nStewards act responsibly \nto car ry out activities \nwith integrity , care, and \ntrustwor thiness while \nmaintaining compliance with internal and exter nal \nguidelines. They demon-strate a broad commit-ment to financial, social, \nand en vironmental \nimpacts of the projects they suppor t.Stewardship encompasses responsibilities within and \nexternal to the org anization.\n Stewardship includes:\n•Integrity,\n•Care,\n•Trustworthiness, and\n•Compliance.\nA holistic view of stewardship considers financial, social, \ntechnical, and sustainable environmental a wareness.\nFigure 3-2. Be a Diligent, Respectful, and Caring Steward\nPMI Seventh Edition July 202125\nSection 3 – Project Management PrinciplesStewardship has slightly different meanings and applications in different contexts. One aspect \nof stewardship involves being entrusted with the care of something. Another aspect focuses on the \nresponsible planning, use, and management of resources. Yet another aspect means upholding values and ethics.\nStewardship encompasses responsibilities both within and external to the organization. Within \nthe organization, stewardship includes:\n▶Operating in alignment with the organization, its objectives, strategy, vision, mission,\nand sustainment of its long-term value;\n▶Commitment to and respectful engagement of project team members, including their\ncompensation, access to opportunity, and fair treatment;\n▶Diligent oversight of organizational finances, materials, and other resources used within\na project; and\n▶Understanding the appropriate use of authority, accountability, and responsibility,\nparticularly in leadership positions.\nStewardship outside the organization includes responsibilities in areas such as:\n▶Environmental sustainability and the organization’s use of materials and natural resources;\n▶Organization’s relationship with external stakeholders such as its partners and channels;\n▶Impact of the organization or project on the market, social community, and regions\nin which it operates; and\n▶Advancing the state of practice in professional industries.\nStewardship reflects understanding and acceptance of trust as well as actions and decisions \nthat engender and sustain that trust. Stewards also adhere to both implicit and explicit duties. These can include the following:\nPMI Seventh Edition July 202126\nThe Standard for Project Management▶Integrity. Stewards behave honestly and ethically in all engagements and communications.\nStewards hold themselves to the highest standards and reflect the values, principles, andbehaviors expected of those in their organization. Stewards serve as role models, buildingtrust by living and demonstrating personal and organizational values in their engagements,work activities, and decisions. In the project management context, this duty often requiresstewards to challenge team members, peers, and other stakeholders to consider theirwords and actions; and to be empathetic, self-reflective, and open to feedback.\n▶Care. Stewards are fiduciaries of the organizational matters in their charge, and theydiligently oversee them. Higher-performing projects feature professionals who diligentlyoversee those matters, beyond the confines of strictly defined responsibilities. Stewardspay close attention and exercise the same level of care over those matters as they wouldfor their personal matters. Care relates to the internal business affairs of the organization.Care for the environment, sustainable use of natural resources, and concern for theconditions of people across the planet should be reflected in the organizational policiesand principles.\nProjects bring about changes that may have unanticipated or unwanted consequences.\nProject practitioners should identify, analyze, and manage the potential downsides ofproject outcomes so that stakeholders are aware and informed.\nCare includes creating a transparent working environment, open communication channels,\nand opportunities for stakeholders to raise concerns without penalty or fear of retribution.\nPMI Seventh Edition July 202127\nSection 3 – Project Management Principles▶Trustworthiness. Stewards represent themselves, their roles, their project team, and\ntheir authority accurately, both inside and outside of the organization. This behavior\nallows people to understand the degree to which an individual can commit resources,make decisions, or approve something. Trustworthiness also entails individuals proactivelyidentifying conflicts between their personal interests and those of their organization orclients. Such conflicts can undermine trust and confidence, result in unethical or illegalbehaviors, create confusion, or contribute to suboptimal outcomes. Stewards protectprojects from such breaches of trust.\n▶Compliance. Stewards comply with laws, rules, regulations, and requirements that are\nproperly authorized within or outside of their organization. However, high-performingprojects seek ways to integrate compliance more fully into the project culture, creatingmore alignment with diverse and potentially conflicting guidelines. Stewards strive forcompliance with guidelines intended to protect them, their organization, their stakeholders,and the public at large. In instances where stewards face conflicting guidelines or questionsregarding whether or not actions or plans align with established guidelines, stewards seekappropriate counsel and direction.\nStewardship requires leadership with transparency and trustworthiness. Projects affect the \nlives of the people who deliver them as well as those who are affected by the project deliverables \nand outcomes. Projects can have effects, such as easing traffic congestion, producing new medications, or creating opportunities for people to interact. Those effects can produce negative impacts and consequences, such as reduced green space, side effects from medications, or disclosure of personal information. Project teams and their organizational leaders carefully consider such factors and impacts so they can make responsible decisions by balancing organizational and project objectives with the larger needs and expectations of global stakeholders.\nIncreasingly, organizations are taking a holistic view to business that considers financial, \ntechnical, social, and environmental performance simultaneously instead of sequentially. Since the world is interconnected now more than ever and has finite resources and a shared environment, stewardship decisions have ramifications beyond the project.\nPMI Seventh Edition July 202128\nThe Standard for Project Management3.2 CREATE A COLLABORATIVE PROJECT TEAM ENVIRONMENT\nCreating a collaborative project team environment involves multiple contributing factors, \nsuch as team agreements, structures, and processes. These factors support a culture that enables \nindividuals to work together and provide synergistic effects from interactions.TEAM\nProject teams are made \nup of individuals who wield diverse skills, \nknowledge, and experi-\nence. Project teams that work collaboratively can \naccomplish a shared objective more eff ectively \nand efficiently than individuals working on their own.Projects are delive red by project teams.\nProject teams work within organizational and professional \ncultures and guidelines, often establishing their ow n “local” \nculture.\nA collaborative project team environment facilitates:\n•Alignment with other orga nizational cultures and guidelines,\n•Individual and team learning and de velopment, and\n•Optimal contributions to deliver desired outcomes.\nFigure 3-3. Create a Collaborative Project Team Environment\nPMI Seventh Edition July 202129\nSection 3 – Project Management Principles▶Team agreements. Team agreements represent a set of behavioral parameters and\nworking norms established by the project team and upheld through individual and project\nteam commitment. The team agreement should be created at the beginning of a projectand will evolve over time as the project team continues to work together and identify\nnorms and behaviors that are necessary in order to continue to work together successfully.\n▶Organizational structures. Project teams use, tailor, and implement structures that help\ncoordinate the individual effort associated with project work. Organizational structures areany arrangement of or relation between the elements of project work and organizationalprocesses.\nThese structures can be based on roles, functions, or authority. They can be defined as\nbeing external to the project, tailored to fit the project context, or newly designed to meet\na unique project need. An authority figure may formally impose a structure, or project teammembers may contribute to its design in alignment with organizational structures.\nExamples of organizational structures that can improve collaboration include, but are not\nlimited to:\n▹Definitions of roles and responsibilities,\n▹Allocation of employees and vendors into project teams,\n▹Formal committees tasked with a specific objective, and\n▹Standing meetings that regularly review a given topic.\n▶Processes. Project teams define processes that enable completion of tasks and work\nassignments. For example, project teams may agree to a decomposition process using\na work breakdown structure (WBS), backlog, or task board.\nProject teams are influenced by the culture of the organizations involved in the project, the \nnature of the project, and the environment in which they operate. Within these influences, project teams establish their own team cultures. Project teams can tailor their structure to best accomplish the project objective.\nBy fostering inclusive and collaborative environments, knowledge and expertise are more freely \nexchanged, which in turn enable better project outcomes.\nPMI Seventh Edition July 202130\nThe Standard for Project ManagementClarity on roles and responsibilities can improve team cultures. Within project teams, specific \ntasks may be delegated to individuals or selected by project team members themselves. This includes \nthe authority, accountability, and responsibility related to tasks:\n▶Authority. The condition of having the right, within a given context, to make relevantdecisions, establish or improve procedures, apply project resources, expend funds, or\ngive approvals. Authority is conferred from one entity to another, whether done explicitly\nor implicitly.\n▶Accountability. The condition of being answerable for an outcome. Accountability\nis not shared.\n▶Responsibility. The condition of being obligated to do or fulfill something. Responsibility\ncan be shared.\nRegardless of who is accountable or responsible for specific project work, a collaborative \nproject team takes collective ownership of the project outcomes.\nA diverse project team can enrich the project environment by bringing together di fferent \nperspectives. The project team can be comprised of internal organizational sta ff, contracted \ncontributors, volunteers, or external third parties. Additionally, some project team members join the \nproject on a short-term basis to work on a specific deliverable while other members are assigned to \nthe project on a longer-term basis. Integrating these individuals with a project team can challenge \neveryone involved. A team culture of respect allows for differences and finds ways to leverage them \nproductively, encouraging effective conflict management.\nAnother aspect of a collaborative project team environment is the incorporation of practice \nstandards, ethical codes, and other guidelines that are part of the professional work within the \nproject team and the organization. Project teams consider how the se guides can support their efforts \nto avoid possible conflict among the disciplines and the established guidelines they use.\nA collaborative project team environment fosters the free exchange of information and individual \nknowledge. This, in turn, increases shared learning and individual development while delivering \noutcomes. A collaborative pro ject team environment enables ev eryone to contribute their best \nefforts to deliver the desired outcomes for an organization. The organization, in turn, will benefit from \ndeliverables and outcomes that re spect and enhance its fundament al values, principles, and culture .\nPMI Seventh Edition July 202131\nSection 3 – Project Management Principles3.3 EFFECTIVELY ENGAGE WITH STAKEHOLDERS\nStakeholders can be individuals, groups, or organizations that may affect, be affected by, \nor perceive themselves to be affected by a decision, activity, or outcome of a portfolio, program, or \nproject. Stakeholders also directly or indirectly influence a project, its performance, or outcome in either a positive or negative way.Engage stakeholder s \nproactively and to the \ndegree needed to contribute to project success and customer satisfaction.STAKEHOLDERS\nStakeholders influence projects, perfor mance, and outcomes.\nProject teams serv e other stak eholders by enga ging with them.\nStakeholder enga gement proactively ad vances value delive ry.\nFigure 3-4. Effectively Engage with Stakeholders\nPMI Seventh Edition July 202132\nThe Standard for Project ManagementStakeholders can affect many aspects of a project, including but not limited to:\n▶Scope/requirements, by revealing the need to add, adjust, or remove elements of the scope\nand/or project requirements;\n▶Schedule, by offering ideas to accelerate delivery or by slowing down or stop delivery of key\nproject activities;\n▶Cost, by helping to reduce or eliminate planned expenditures or by adding steps,\nrequirements, or restrictions that increase cost or require additional resources;\n▶Project team, by restricting or enabling access to people with the skills, knowledge, and\nexperience needed to deliver the intended outcomes, and promote a learning culture;\n▶Plans, by providing information for plans or by advocating for changes to agreed activities\nand work;\n▶Outcomes, by enabling or blocking work required for the desired outcomes;\n▶Culture, by establishing or influencing—or even defining—the level and character\nof engagement of the project team and broader organization;\n▶Benefits realization, by generating and identifying long-term goals so that the project\ndelivers the intended identified value;\n▶Risk, by defining the risk thresholds of the project, as well as participating in subsequent\nrisk management activities;\n▶Quality, by identifying and requiring quality requirements; and\n▶Success, by defining success factors and participating in the evaluation of success.\nStakeholders may come and go throughout the life cycle of the project. Additionally, the degree \nof a stakeholder’s interest, influence, or impact may change over time. Stakeholders, especially those with a high degree of influence and who have an unfavorable or neutral view about a project, need to be effectively engaged so that their interests, concerns, and rights are understood. The project team can then address these concerns through effective engagement and support leading to the probability of a successful project outcome.\nPMI Seventh Edition July 202133\nSection 3 – Project Management PrinciplesIdentifying, analyzing, and proactively engaging with stakeholders from the start to the end \nof the project helps to enable success.\nProject teams are a group of stakeholders. This group of stakeholders engages other \nstakeholders to understand, consider, communicate, and respond to their interests, needs, \nand opinions.\nEffective and efficient engagement and communication include determining how, when, \nhow often, and under what circumstances stakeholders want to be—and should be—engaged. \nCommunication is a key part of engagement; however, engagement delves deeper to include awareness of the ideas of others, assimilation of other perspectives, and collective shaping of a shared\n \nsolution. Engagement includes building and maintaining solid relationships through frequent, two-way communication. It encourages collaboration through interactive meetings, face-to-face meetings, informal dialogue, and knowledge-sharing activities.\nStakeholder engagement relies heavily on interpersonal skills, including taking initiative, \nintegrity, honesty, collaboration, respect, empathy, and confidence. These skills and attitudes can help everyone adapt to the work and to each other, increasing the likelihood of success.\nEngagement helps project teams detect, collect, and evaluate information, data, and opinions. \nThis creates shared understanding and alignment, which enables project outcomes. Additionally, these activities help the project team to tailor the project to identify, adjust, and respond to changing circumstances.\nProject teams actively engage other stakeholders throughout the project to minimize potential \nnegative impacts and maximize positive impacts. Stakeholder engagements also enable opportunities for stronger project performance and outcomes in addition to increasing stakeholder satisfaction. Finally, engaging other stakeholders helps the project team to find solutions that may be more acceptable to a broader range of stakeholders.\nPMI Seventh Edition July 202134\nThe Standard for Project Management3.4 FOCUS ON VALUE\nVALUE\nContinually evaluate and \nadjust project alignment to business objectives and intended benefits and value.Value is the ultimate indicator of project success.\nValue can be realized throughout the project, at the end of \nthe project, or after the project is complete.\nValue, and the benefits that contribute to value, can be \ndefined in quantitative and/or qualitative terms.\nA focus on outcomes allows project teams to support the \nintended benefits that lead to va lue creation.\nProject teams ev aluate progress and adapt to maximize the \nexpected value.\nFigure 3-5. Focus on Value\nValue, including outcomes from the perspective of the customer or end user, is the ultimate \nsuccess indicator and driver of projects. Value focuses on the outcome of the deliverables. The value \nof a project may be expressed as a financial contribution to the sponsoring or receiving organization. \nValue may be a measure of public good achieved, for example, social bene fit or the customer’s \nperceived benefit from the project result. When the project is a component of a program, the \nproject’s contribution to program outcomes can represent value.\nMany projects, tho ugh not all, are initiated based on a business case. Projects may be \ninitiated due t o any identified ne ed to deliver o r mo dify a process, product, or service, such as \ncontracts, statements of work, o r other documents. In all cases, t he project intent is to provide \nthe desired outcome that addresse s the need with a valued solution. A business case can contain \ninformation about strategic alignment, assessment of risk exposure , economic feasibility study, \nreturn on investme nts, expected key performance measures, evaluations, and alternative \napproaches. The business case may state the intended value contribut ion of the project outcome \nin qualitative or quantitative te rms, or both. A business case co ntains at least these supporting \nand interrelated e lements:\nPMI Seventh Edition July 202135\nSection 3 – Project Management Principles▶Business need. Business provides the rationale for the project, explaining why the project\nis undertaken. It originates with the preliminary business requirements, which are reflected\nin the project charter or other authorizing document. It provides details about the businessgoals and objectives. The business need may be intended for the performing organization,a client organization, a partnership of organizations, or public welfare. A clear statement\nof the business need helps the project team understand the business drivers for the futurestate and allows the project team to identify opportunities or problems to increase thepotential value from the project outcome.\n▶Project justification. Project justification is connected to business need. It explains why\nthe business need is worth the investment and why it should be addressed at this time.\nThe project justification is accompanied by a cost-benefit analysis and assumptions.\n▶Business strategy. Business strategy is the reason for the project and all needs are\nrelated to the strategy to achieve the value.\nTogether, the business need, project justification, and business strategy, in addition to benefits \nand possible agreements, provide the project team with information that allows them to make informed decisions to meet or exceed the intended business value.\nDesired outcomes should be clearly described, iteratively assessed, and updated throughout \nthe project. During its life cycle, a project may undergo change and the project team then adapts in response. The project team continuously evaluates project progress and direction against the desired outputs, baselines, and business case to confirm that the project remains aligned to the need and will deliver its intended outcomes. Alternatively, the business case is updated to capture an opportunity or minimize a problem identified by the project team and other stakeholders. If the project or its stakeholders are no longer aligned with the business need or if the project seems unlikely to provide the intended value, the organization may choose to terminate the effort.\nValue is the worth, importance, or usefulness of something. Value is subjective, in the sense \nthat the same concept can have different values for different people and organizations. This occurs because what is considered a benefit depends on organizational strategies, ranging from short-term financial gains, long-term gains, and even nonfinancial elements. Because all projects have a range of stakeholders, different values generated for each group of stakeholders have to be considered and balanced with the whole, while placing a priority on the customer perspective.\nPMI Seventh Edition July 202136\nThe Standard for Project ManagementWithin the context of some projects, there may be different forms of value engineering that \nmaximize value to the customer, to the performing organization, or other stakeholders. An example \nof this includes delivering the required functionality and level of quality with an acceptable risk \nexposure, while using as few resources as possible, and by avoiding waste. Sometimes, especially in \nadaptive projects that do not have a fixed, up-front scope, the project team can optimize value by \nworking with the customer to determine which features are worth investment and which may not be \nvaluable enough to be added to the output.\nTo support value realization from proj ects, project teams shift fo cus from deliverables to \nthe intended outcomes. Doing so allows project teams to deliver o n the vision or purpose of the \nproject, rather than simply creating a specific deliverable . While the deliverable may support \nthe intended project outcome, it may not fully achieve the visio n or purpose of the project. For \nexample, customers may want a specific software solution because they think that the solution \nresolves the business need for higher productivity. The soft ware is the output of the project , but \nthe software itself does not enable the productivity outcome that i s intended. In this case, adding a \nnew deliverable of training and coaching on the use of the so ftware can enable a better productivit y \noutcome. If the project’s out put fails to enable higher producti vity, stakeholders may fee l that the \nproject has failed. Thus, proje ct teams and other stakeholders understand both the deliverable and \nthe intended outcome from the deli verable .\nThe value contribution of project work could be a short- or long-term measure. Because value \ncontribution may be mixed with contributions from operational activities, it may be di fficult to isolate. \nWhen the project is a component of a program, evaluation of value at the program level may also \nbe necessary to properly direct the project. A reliable evaluation of value should consider the whole \ncontext and the entire life cycle of the project’s output. While value is realized over time, e ffective \nprocesses can enable early benefit realization. With efficient and effective implementation, project \nteams may demonstrate or achieve such outcomes as prioritized delivery, better customer service, \nor an improved work environment. By working with organizational leaders who are responsible \nfor putting project deliverables into use, project leaders can make sure that the deliverables are \npositioned to realize the planned outcomes.\nPMI Seventh Edition July 202137\nSection 3 – Project Management Principles3.5 RECOGNIZE, EVALUATE, AND RESPOND TO SYSTEM \nINTERACTIONS\nA system is a set of interacting and interdependent components that function as a unified \nwhole. Taking a holistic view, a project is a multifaceted entity that exists in dynamic circumstances, \nexhibiting the characteristics of a system. Project teams should acknowledge this holistic view of \na project, seeing the project as a system with its own working parts.\nA project works within other larger systems, and a project deliverable may become part of \na larger system to realize benefits. For example, projects may be part of a program which, in turn, may also be part of a portfolio. These interconnected structures are known as a system of systems . \nProject teams balance inside/out and outside/in perspectives to support alignment across the system of systems.\nThe project may also have subsystems that are required to integrate effectively to deliver the \nintended outcome. For example, when individual project teams develop separate components of \na deliverable, all components should integrate effectively. This requires project teams to interact and align subsystem work on a regular basis.Recognize, evaluate, and \nrespond to the dynamic \ncircumstances within and surrounding the project in a holistic way to positively affect project performance.SYSTEMS THINKING\nA project is a system of interdependent and interacting \ndomains of activity .\nSystems thinking entails taking a holistic view of how project \nparts interact with each other and with external systems.\nSystems are constantly changing , requiring consistent attention \nto internal and external conditions.\nBeing responsive to system interactions allows project teams to \nleverag e positive outcomes.\nFigure 3-6. Recognize, Evaluate, and Respond to System Interactions\nPMI Seventh Edition July 202138\nThe Standard for Project ManagementSystems thinking also considers timing elements of systems, such as what the project delivers \nor enables over time. For example, if project deliverables are released incrementally, each increment \nexpands the cumulative outcomes or capabilities of previous versions. Project teams should think \nbeyond the end of the project to the operational state of the project’s deliverable, so that intended \noutcomes are realized.\nAs projects unfold, internal and external conditions are continuo usly changing. A single change \ncan create several impacts. For example, on a large construction project, a change in requirements can \ncause contractual changes with the primary contractor, subcontract ors, suppliers, or others. In t urn, \nthose changes can create an impact on project cost, schedule, sco pe, and performance. Subsequently, \nthese changes could invoke a change control protocol for obt aining approvals from entities in external \nsystems, such as the service providers, regulators, financiers, and government authorities.\nWhile it is possible to predict some of the changes in advance, many of the changes that can \nimpact the project during its life cycle emerge in real time. With systems thinking, including constant \nattention to internal and external conditions, the project team can navigate a wide spectrum of \nchanges and impacts to keep the project in agreement with the relevant stakeholders.\nSystems thinking also applies to how the project team views itself and its interactions within \nthe project system. The project system often brings together a diverse project team engaged in \nworking for a common objective. This diversity brings value to project teams, but they need to \nconsider how to leverage those differences e ffectively, so that the project team works cohesively. \nFor example, if a government agency contracts with a private company for development of a new \ntechnology, the development team may consist of project team members from both organizations. \nThose project team members may have assumptions, ways of working, and mental models related \nto how they function within their home organization. In this new project system, which combines the \ncultures of a private company and a government agency, the project team members can establish a \nsynthesized team culture that creates a common vision, language, and toolset. This can help project \nteam members to engage and contribute effectively and help to increase the probability that the \nproject system works.\nBecause of the interactivity among systems, project teams should operate with awareness of, \nand vigilance toward, changing system dynamics. The following skills support a systems view \nof the project:\nPMI Seventh Edition July 202139\nSection 3 – Project Management Principles▶Empathy with the business areas;\n▶Critical thinking with a big picture focus;\n▶Challenging of assumptions and mental models;\n▶Seeking external review and advice;\n▶Use of integrated methods, artifacts, and practices so there is a common understanding\nof project work, deliverables, and outcomes;\n▶Use of modeling and scenarios to envision how system dynamics may interact\nand react; and\n▶Proactive management of the integration to help achieve business outcomes.\nRecognizing, evaluating, and responding to system interactions can lead to the following \npositive outcomes:\n▶Early consideration of uncertainty and risk within the project, exploration of alternatives,\nand consideration of unintended consequences;\n▶Ability to adjust assumptions and plans throughout the project life cycle;\n▶Provision of ongoing information and insights that inform planning and delivery;\n▶Clear communication of plans, progress, and projections to relevant stakeholders;\n▶Alignment of project goals and objectives to the customer organization’s goals,\nobjectives, and vision;\n▶Ability to adjust to the changing needs of the end user, sponsor, or customer\nof the project deliverables;\n▶Ability to see synergies and savings between aligned projects or initiatives;\n▶Ability to exploit opportunities not otherwise captured or see threats posed to\nor by other projects or initiatives;\n▶Clarity regarding the best project performance measurement and their influence\non the behavior of the people involved in the project;\n▶Decisions that benefit the organization as a whole; and\n▶More comprehensive and informed identification of risks.\nPMI Seventh Edition July 202140\nThe Standard for Project Management3.6 DEMONSTRATE LEADERSHIP BEHAVIORS\nLEADERSHIP\nEffectiv e leadership promotes project success and contributes \nto positive project outcomes.\nAny project team member can demonstrate leadership \nbehaviors.Leadership is different than authority .\nEffectiv e leaders adapt their style to the situation .\nEffectiv e leaders recognize differences in motivation among \nproject team members.Leaders demonstrate desired behavior in areas of honesty , \nintegrity, and ethical conduct.Demonstrate and adapt \nleader ship behaviors to \nsuppor t individual and \nteam needs.\nFigure 3-7. Demonstrate Leadership Behaviors\nProjects create a unique need for effective leadership. Unlike general business operations, \nwhere roles and responsibilities are often established and consistent, projects often involve multiple \norganizations, departments, functions, or vendors that do not interact on a regular basis. Moreover, \nprojects may carry higher stakes and expectations than regular operational functions. As a result, \na broader array of managers, executives, senior contributors, and other stakeholders attempt to \ninfluence a project. This often creates higher degrees of confusion and con flict. Consequently, higher-\nperforming projects demonstrate effective leadership behaviors more frequently, and from more \npeople than most projects.\nA project environment that prioritizes vision, creativity, motiv ation, enthusiasm, encouragement, \nand empathy can support better o utcomes. These traits are ofte n associated with leadership. \nLeadership comprises the at titude , talent, character, and behav iors to influence individuals wit hin \nand outside the project team toward the desired outcomes.\nPMI Seventh Edition July 202141\nSection 3 – Project Management PrinciplesLeadership is not exclusive to any specific role. High-performing projects may feature \nmultiple people exhibiting effective leadership skills, for example, the project manager, sponsors, \nstakeholders, senior management, or even project team members. Anyone working on a project can demonstrate effective leadership traits, styles, and skills to help the project team perform and deliver the required results.\nIt is important to note that more conflict and confusion can emerge when too many participants \nattempt to exert project influence in multiple, misaligned directions. However, higher-performing projects show a paradoxical combination of more influencers, each contributing more leadership skills in a complementary fashion. For example: if a sponsor articulates clear priorities, then a technical lead opens the discussion for delivery options, where individual contributors assert pros and cons until the project manager brings the conversation to a consensus strategy. Successful leadership enables someone to influence, motivate, direct, and coach people under any condition. It also incorporates characteristics derived from an organization’s culture and practices.\nLeadership should not be confused with authority , which is the position of control given to \nindividuals within an organization to foster overall effective and efficient function. Authority is the right to exercise power. Authority is usually delegated to a person by formal means such as a charter document or designated title. This person may then have a role or position description that indicates their authority. Authority denotes accountability for certain activities, actions of individuals, or decision making in certain circumstances. While individuals may use their authority to influence, motivate, direct others, or act when others do not perform or act as directed or requested, this is not the same as leadership. For example, organizational executives may grant someone the authority to form \na project team to deliver an outcome. However, authority alone is insufficient. It takes leadership to motivate a group toward a common goal, influence them to align their individual interests in favor \nof collective effort, and achieve success as a project team rather than as individuals.\nEffective leadership draws from or combines elements of various styles of leadership. \nDocumented leadership styles range from autocratic, democratic, laissez-faire, directive, participative, assertive, supportive, and autocratic to consensus. Of all these, no single leadership style has proven to be the universally best or recommended approach. Instead, effective leadership is shown when \nit best fits a given situation. For example:\n▶In moments of chaos, directive action creates more clarity and momentum than collaborative\nproblem solving.\n▶For environments with highly competent and engaged staff, empowered delegation elicits\nmore productivity than centralized coordination.\nPMI Seventh Edition July 202142\nThe Standard for Project ManagementWhen senior managers suffer conflict over priorities, neutral facilitation helps more than detailed \nrecommendations. Effective leadership skill is grown. It can be learned and developed so that it \nbecomes a professional asset to the individual, as well as a benefit to the project and its stakeholders. High-performing projects show a pervasive pattern of continuous improvement down to the personal level. A project team member deepens leadership acumen by adding or practicing a combination of various skills or techniques, including but not limited to:\n▶Focusing a project team around agreed goals,\n▶Articulating a motivating vision for the project outcomes,\n▶Seeking resources and support for the project,\n▶Generating consensus on the best way forward,\n▶Overcoming obstacles to project progress,\n▶Negotiating and resolving conflict within the project team and between the project team\nand other stakeholders,\n▶Adapting communication style and messaging so that they are relevant to the audience,\n▶Coaching and mentoring fellow project team members,\n▶Appreciating and rewarding positive behaviors and contributions,\n▶Providing opportunities for skill growth and development,\n▶Facilitating collaborative decision making,\n▶Employing effective conversations and active listening,\n▶Empowering project team members and delegating responsibilities to them,\n▶Building a cohesive project team that takes responsibility,\n▶Showing empathy for project team and stakeholder perspectives,\n▶Having self-awareness of one’s own bias and behaviors,\n▶Managing and adapting to change during the project life cycle,\n▶Facilitating a fail-fast/learn quickly mindset by acknowledging mistakes, and\n▶Role modeling of desired behaviors.\nPMI Seventh Edition July 202143\nSection 3 – Project Management PrinciplesPersonal character matters in a leader. A person may have strong ability in leadership skills \nbut then have their influence undermined by the perception of being self-serving or untrustworthy. \nEffective leaders seek to be a role model in areas of honesty, integrity, and ethical conduct. Effective leaders focus on being transparent, behave unselfishly, and are able to ask for help. Effective leaders understand that project team members scrutinize and emulate the values, ethics, and behaviors that leaders exhibit. Therefore, leaders have an additional responsibility to demonstrate expected behaviors through their actions.\nProjects work best when leaders understand what motivates people. Project teams can thrive \nwhen project team members use appropriate leadership traits, skills, and characteristics that match the specific needs and expectations of stakeholders. Knowing how to best communicate with or motivate people, or take action when required, can help improve project team performance and manage obstacles to project success. When practiced by more than one person on a project, leadership can foster shared responsibility toward the project goal, which in turn can foster a healthy and vibrant environment. Motivators include such forces as finances, recognition, autonomy, compelling purpose, growth opportunity, and personal contribution.\nEffective leadership promotes project success and contributes to positive project outcomes. \nProject teams, individual project team members, and other stakeholders are engaged throughout \na well-led project. Each project team member can focus on delivering results using a common vision and working toward shared outcomes. Effective leadership is essential in helping project teams maintain an ethical and adaptable environment.\nAdditionally, business obligations can be fulfilled based on delegated responsibility and authority. \nShared leadership does not undermine or diminish the role or authority of a leader designated by the organization, nor does it diminish the need for that leader to apply the right leadership style and skills at the right time.\nBy blending styles, continuing skill growth, and leveraging motivators, any project team member \nor stakeholder can motivate, influence, coach, and grow the project team, regardless of role or position.\nPMI Seventh Edition July 202144\nThe Standard for Project Management3.7 TAILOR BASED ON CONTEXT\nAdapting to the unique objectives, stakeholders, and complexity of the environment contributes \nto project success. Tailoring is the deliberate adaptation of approach, governance, and processes to \nmake them more suitable for the given environment and the work at hand. Project teams tailor the appropriate framework that will enable the flexibility to consistently produce positive outcomes within the context of the life cycle of the project. The business environment, team size, degree of uncertainty, and complexity of the project all factor into how project systems are tailored. Project systems can be tailored with a holistic perspective, including the consideration of interrelated complexities. Tailoring aims to maximize value, manage constraints, and improve performance by using “just enough” processes, methods, templates, and artifacts to achieve the desired outcome from the project.TAILORING\nEach project is unique.\nProject success is based on adapting to the unique context of \nthe project to determ ine the most appropriate methods of \nproducing the desired outcomes.\nTailoring the approach is iterativ e, and therefore is a continuous \nprocess throughout the project.Design the project devel-\nopment approach based on the context of the project, its objectives, \nstakeholders, governance, \nand the environment using “just enough” process to achieve the desired outcome while maximizing value, managing cost, and \nenhancing speed.\nFigure 3-8. Tailor Based on Context\nPMI Seventh Edition July 202145\nSection 3 – Project Management PrinciplesTogether with the PMO and considering governance, project teams discuss and decide on the \ndelivery approach and resources required for producing outcomes on a project-by-project basis. This \nincludes the selection of the processes to use, development approach, methods, and artifacts needed to deliver the project outcomes. Tailoring decisions can be an implicit action of accepting an established methodology. Conversely, tailoring can be an explicit action of selecting and mixing specific elements \nto suit the unique characteristics of the project and the project environment. Tailoring is necessary \nto some degree in every project, because each project exists in a particular context.\nProjects are often unique, even when the deliverable of the project does not seem unique. \nThis is because project contexts differ in that the organization, its customers, its channels, and its environment are dynamic elements. Those changes and ongoing learning may cause project teams to use or develop different methods or approaches in pursuit of success. The project team should examine the unique set of conditions for each project, so that they can determine the most appropriate methods of producing the desired outcomes.\nAn existing methodology or common way of working can inform the way in which a project \nis tailored. A methodology is a system of practices, techniques, procedures, and rules used by those who work in a discipline. Project teams may be required to assume the methodology of the parent organization. That is, the project team adopts a system of processes, governance, methods, and templates that provide guidance on how to run the project. While this provides a degree of consistency to projects within an organization, the methodology itself may still need tailoring to suit each project. Organizational policies and procedures prescribe authorized boundaries within which the project team can tailor.\nProject teams can also factor in the time and cost of project management processes. Processes \nthat are not tailored may add little value to the project or its outcomes while increasing cost and lengthening schedule. Tailoring the approach along with appropriate processes, methods, and artifacts can help project teams make decisions about process-related costs and the related value contribution to project outcomes.\nIn addition to deciding on how to tailor an approach, project teams communicate the tailoring \ndecisions to stakeholders associated with that approach. Each member of the project team is aware of the chosen methods and processes that relate to those stakeholders and their role.\nPMI Seventh Edition July 202146\nThe Standard for Project ManagementTailoring the project approach to suit the unique characteristics of the project and its \nenvironment can contribute to a higher level of project performance and an increased probability of \nsuccess. A tailored project approach can produce direct and indirect benefits to organizations, such as:\n▶Deeper commitment from project team members because they took part in defining\nthe approach,\n▶Reduction in waste in terms of actions or resources,\n▶Customer-oriented focus, as the needs of the customer and other stakeholders are\nan important influencing factor in the tailoring of the project, and\n▶More efficient use of project resources, as project teams are conscious of the weight\nof project processes.\nTailoring projects can lead to the following positive outcomes:\n▶Increased innovation, efficiency, and productivity;\n▶Lessons learned, so that improvements from a specific delivery approach can be shared\nand applied to the next round of work or future projects;\n▶Further improvement of an organization’s methodology, with new practices, methods,\nand artifacts;\n▶Discovery of improved outcomes, processes, or methods through experimentation;\n▶Effective integration within multidisciplinary project teams of methods and practices used\nto deliver project results; and\n▶Increased adaptability for the organization in the long term.\nTailoring an approach is iterative in nature, and therefore is a constant process itself during \nthe project life cycle. Project teams collect feedback from all stakeholders on how the methods and tailored processes are working for them as the project progresses to evaluate their effectiveness and add value to the organization.\nPMI Seventh Edition July 202147\nSection 3 – Project Management Principles3.8 BUILD QUALITY INTO PROCESSES AND DELIVERABLES\nQuality is the degree to which a set of inherent characteristics of a product, service, or result \nfulfills the requirements. Quality includes the ability to satisfy the customer’s stated or implied needs. \nThe product, service, or result of a project (referred to here as deliverables) is measured for the quality of both the conformance to acceptance criteria and fitness for use.QUALITY\nProject quality entails satisfying stak eholders’ expectations and \nfulfilling project and product requirements.\nQuality focuses on meeting acceptance criteria for deli verables.\nProject quality entails ensuring project processes are appropri-\nate and as effective as possible.Maintain a focus on \nquality that produces deliverables that meet project objectives and align to the needs, uses, \nand acceptance require-ments set forth by relevant stakeholders.\nFigure 3-9. Build Quality into Processes and Deliverables\nPMI Seventh Edition July 202148\nThe Standard for Project ManagementQuality may have several different dimensions, including but not limited to the following:\n▶Performance. Does the deliverable function as the project team and other stakeholders\nintended?\n▶Conformity. Is the deliverable fit for use, and does it meet the specifications?\n▶Reliability. Does the deliverable produce consistent metrics each time it is performed\nor produced?\n▶Resilience. Is the deliverable able to cope with unforeseen failures and quickly recover?\n▶Satisfaction. Does the deliverable elicit positive feedback from end users? This includes\nusability and user experience?\n▶Uniformity. Does the deliverable show parity with other deliverables produced in the\nsame manner?\n▶Efficiency. Does the deliverable produce the greatest output with the least amount\nof inputs and effort?\n▶Sustainability. Does the deliverable produce a positive impact on economic, social,\nand environmental parameters?\nProject teams measure quality using metrics and acceptance criteria based on requirements. \nA requirement is a condition or capability that is necessary to be present in a product, service, or \nresult to satisfy a need. Requirements, either explicit or implicit, may come from stakeholders, a contract, organizational policies, standards, or regulatory bodies, or a combination of these. Quality is closely linked to the product acceptance criteria, as described in the statement of work or other design documents. These criteria should be updated as experimentation and prioritization occur and validated as part of the acceptance process.\nQuality is also relevant to the project approaches and activities used to produce the project’s \ndeliverables. While project teams evaluate the quality of a deliverable through inspection and testing, project activities and processes are assessed through reviews and audits. In both instances, quality activities may focus on detection and prevention of errors and defects.\nPMI Seventh Edition July 202149\nSection 3 – Project Management PrinciplesThe objective of quality activities is to help ensure that what is delivered meets the objectives \nof the customer and other relevant stakeholders in the most straightforward path. The intention is \nto minimize the waste of resources and maximize the probability of attaining the desired outcome. This results in:\n▶Moving the deliverables to the point of delivery quickly, and\n▶Preventing defects in the deliverables or identifying them early to avoid or reduce the need\nfor rework and scrap.\nThe objective of quality activities is the same whether dealing with an up-front, well-defined set \nof requirements or a set of requirements that are progressively elaborated and incrementally delivered.\nQuality management processes and practices help produce deliverables and outcomes that \nmeet project objectives and align to the expectations, uses, and acceptance criteria expressed by the organization and relevant stakeholders. Close attention to quality in project processes and deliverables creates positive outcomes, including:\n▶Project deliverables that are fit for purpose, as defined by acceptance criteria,\n▶Project deliverables that meet stakeholder expectations and business objectives,\n▶Project deliverables with minimal or no defects,\n▶Timely or expedited delivery,\n▶Enhanced cost control,\n▶Increased quality of product delivery,\n▶Reduced rework and scrap,\n▶Reduced customer complaints,\n▶Good supply chain integration,\n▶Improved productivity,\n▶Increased project team morale and satisfaction,\n▶Robust service delivery,\n▶Improved decision making, and\n▶Continually improved processes.\nPMI Seventh Edition July 202150\nThe Standard for Project Management3.9 NAVIGATE COMPLEXITY\nCOMPLEXITY\nComplexity is the result of human behav ior, system interactions, \nuncertainty , and ambiguity .\nComplexity can emerge at any point during the project.\nComplexity can be introduced by events or conditions that \naffect v alue, scope, communications, stake holders, risk, and \ntechnological inno vation.\nProject teams can stay vigilant in identifying elements of \ncomplexity and use a va riety of methods to reduce the amount \nor impact of complexity .Continually evaluate \nand navigate project complexity so that approaches and plans enable the project team to successfully navigate the project life cycle.\nFigure 3-10. Navigate Complexity\nA project is a system of ele ments that interact with each other. Co mplexity is a characteristic o f \na project or its environment that is difficult to manage due t o human behavior, system behavi or, and \nambiguity. The nature and number o f the interactions determine the degree of complexity in a project. \nComplexity emerges from project ele ments, interactions between project elements, and interactions \nwith other systems and the pro ject environment. Though complexit y cannot be controlled, project \nteams can modify their activ ities to address impacts that occ ur as a result of complexity.\nProject teams often cannot foresee complexity emerging because it is the result of \nmany interactions such as risks, dependencies, events, or relationships. Alternatively, a few \ncauses may converge to produce a single complex effect, which makes isolating a specific cause \nof complexity difficult.\nProject complexity occurs as the result of individual elements within the project and project \nsystem as a whole. For example, complexity within a project may be ampli fied with a greater number \nor diversity of stakeholders, such as regulatory agencies, international financial institutions, multiple \nvendors, numerous specialty subcontractors, or local communities. These stakeholders can have a \nsignificant impact on the complexity of a project, both individually and collectively.\nPMI Seventh Edition July 202151\nSection 3 – Project Management PrinciplesSome of the more common sources of complexity are:\n▶Human behavior. Human behavior is the interplay of conduct, demeanors, attitudes, and\nexperience of people. Human behavior can also contribute to complexity by introducingelements of subjectivity such as personal agendas that conflict with the project’s goals andobjectives. Stakeholders located in remote locations may have different time zones, speakdifferent languages, and have different cultural norms.\n▶System behavior. System behavior is the result of dynamic interdependencies within\nand among project elements. For example, the integration of different technology systemsmay cause threats that could impact project outcomes and success. The interactionsamong components of the project system may lead to interconnected risk, create emergingor unforeseeable issues, and produce unclear and disproportional cause-and-effectrelationships.\n▶Uncertainty and ambiguity. Ambiguity is a state of being unclear, of not knowing what\nto expect or how to comprehend a situation. Ambiguity can arise from having many optionsor a lack of clarity on the optimal choice. Unclear or misleading events, emerging issues,\nor subjective situations can also lead to ambiguity.\nUncertainty is the lack of understanding and awareness of issues, events, paths to follow, or\nsolutions to pursue. Uncertainty deals with the probabilities of alternative actions, reactions,and outcomes. Uncertainty includes unknown unknowns and black swans, which areemerging factors that are completely outside of existing knowledge or experience.\nWithin a complex environment, uncertainty and ambiguity can combine to blur causalrelationships to the point where probabilities and impacts are ill defined. It becomesdifficult to reduce uncertainty and ambiguity to the point where relationships can be welldefined and therefore addressed effectively.\n▶Technological innovation. Technological innovation can cause disruption to products,\nservices, ways of working, processes, tools, techniques, procedures, and more. Theintroduction of desktop computing and social media are examples of technologicalinnovations that have fundamentally changed the way project work is performed. Newtechnology, along with the uncertainty of how that technology will be used, contributes\nto complexity. Innovation has the potential to help move projects toward a solution,\nor to disrupt the project when associated uncertainties are not defined, leading toincreased complexity.\nPMI Seventh Edition July 202152\nThe Standard for Project ManagementComplexity may emerge and impact the project in any area and at any point in the project life \ncycle. Project teams can identify elements of complexity throughout the project by continually looking \nat the project component as well as the project as a whole for signs of complexity. Knowledge of systems thinking, complex adaptive systems, experience from past project work, experimentation, and continuous learning related to system interaction leads to the project team’s increased ability to navigate complexity when it emerges. Being vigilant for indications of complexity allows project teams to adapt their approaches and plans to navigate potential disruption to effective project delivery.\nPMI Seventh Edition July 202153\nSection 3 – Project Management Principles3.10 OPTIMIZE RISK RESPONSES\nA risk is an uncertain event or condition that, if it occurs, can have a positive or negative effect \non one or more objectives. Identified risks may or may not materialize in a project. Project teams \nendeavor to identify and evaluate known and emergent risks, both internal and external to the project, throughout the life cycle.\nProject teams seek to maximize positive risks (opportunities) and decrease exposure to negative \nrisks (threats). Threats may result in issues such as delay, cost overrun, technical failure, performance shortfall, or loss of reputation. Opportunities can lead to benefits such as reduced time and cost, improved performance, increased market share, or enhanced reputation.RISK\nIndividual and overall risks can impact projects.\nRisks can be positive (opport unities) or nega tive (threats).\nRisks are addressed continually throughout the project.An org anization’ s risk attitude, appetite, and threshold influence \nhow risk is addressed.\nRisk responses should be:\n•Appropriate for the significance of the risk ,\n•Cost effectiv e,\n•Realistic within the project context,\n•Agreed to by rele vant stak eholders, and\n•Owned by a responsible person.Continually evaluate \nexposure to risk, both oppor tunities and threats, \nto maximize positive impacts and minimize negative impacts to the project and its outcomes.\nFigure 3-11. Optimize Risk Responses\nPMI Seventh Edition July 202154\nThe Standard for Project ManagementProject teams also monitor the overall project risk. Overall project risk is the effect of uncertainty \non the project as a whole. Overall risk arises from all sources of uncertainty, including individual risks, \nand represents the exposure of the stakeholders to the implications of variations in project outcome, both positive and negative. Management of overall project risk aims to keep project risk exposure within an acceptable range. Management strategies include reducing drivers of threats, promoting drivers of opportunities, and maximizing the probability of achieving overall project objectives.\nProject team members engage with relevant stakeholders to understand their risk appetite \nand risk thresholds. Risk appetite describes the degree of uncertainty an organization or individual \nis willing to accept in anticipation of a reward. Risk threshold is the measure of acceptable variation \naround an objective that reflects the risk appetite of the organization and stakeholders. The risk threshold reflects the risk appetite. Therefore, a risk threshold of ±5% around a cost objective reflects a lower risk appetite than a risk threshold of ±10%. The risk appetite and risk threshold inform how the project team navigates risk in a project.\nEffective and appropriate risk responses can reduce individual and overall project threats and \nincrease individual and overall opportunities. Project teams should consistently identify potential risk responses with the following characteristics in mind:\n▶Appropriate and timely to the significance of the risk,\n▶Cost effective,\n▶Realistic within the project context,\n▶Agreed to by relevant stakeholders, and\n▶Owned by a responsible person.\nRisks can exist within the enterprise, portfolio, program, project, and product. The project \nmay be a component of a program in which the risk can potentially enhance or diminish benefits realization and, therefore, value. The project may be a component of a portfolio of related or unrelated work in which the risk can potentially enhance or diminish overall value of the portfolio and realization of business objectives.\nOrganizations and project teams that employ consistent risk evaluation, planning, and \nproactive risk implementation often find the effort to be less costly than reacting to issues when \nthe risk materializes.\nMore information on risk management may be found in The Standard for Risk Management \nin Portfolios, Programs, and Projects [3].\nPMI Seventh Edition July 202155\nSection 3 – Project Management Principles3.11 EMBRACE ADAPTABILITY AND RESILIENCY\nMost projects encounter challenges or obstacles at some stage. The combined attributes of \nadaptability and resiliency in the project team’s approach to a project help the project accommodate \nimpacts and thrive. Adaptability refers to the ability to respond to changing conditions. Resiliency \nconsists of two complementary traits: the ability to absorb impacts and the ability to recover quickly from a setback or failure. Both adaptability and resiliency are helpful characteristics for anyone working on projects.Build adaptability and \nresiliency into the organi-zation’ s and project team’ s \napproaches to help the project accommodate change, recover from \nsetbacks, and advance \nthe work of the project.ADAPTABILITY AND RESILIENCY\nAdaptability is the ability to respond to changing conditions.\nResiliency is the ability to absorb impacts and to reco ver \nquickly from a setback or failure.A focus on outcomes rather than outputs facilitates adaptability . \nFigure 3-12. Embrace Adaptability and Resiliency\nPMI Seventh Edition July 202156\nThe Standard for Project ManagementA project rarely performs exactly as initially planned. Projects are influenced by internal and \nexternal factors—new requirements, issues, stakeholder influences, among other factors—which \nexist in a system of interactions. Some elements within a project may fail or fall short of expectations, requiring the project team to regroup, rethink, and replan. On an infrastructure project, for example, a court decision during project execution could change the designs and plans. In a technology project, a computerized model of the technology might show that the components work together properly, but the real-world application fails. In both cases, the project team will need to address the situation in order to move the project forward. The view that projects should hold firm to plans and commitments made during the early stages, even after new or unforeseen factors emerge, is not beneficial to stakeholders, including customers and end users, as this limits the potential for generating value. However, adapting should be done with a holistic view, such as a proper change control process, to avoid problems such as scope creep. In a project environment, capabilities that support adaptability and resilience include:\n▶Short feedback loops to adapt quickly;\n▶Continuous learning and improvement;\n▶Project teams with broad skill sets, coupled with individuals having extensive knowledge\nin each required skill area;\n▶Regular inspection and adaptation of project work to identify improvement opportunities;\n▶Diverse project teams to capture a broad range of experiences;\n▶Open and transparent planning that engages internal and external stakeholders;\n▶Small-scale prototypes and experiments to test ideas and try new approaches;\n▶Ability to leverage new ways of thinking and working;\n▶Process design that balances velocity of work and stability of requirements;\n▶Open organizational conversations;\n▶Diverse project teams with broad skill sets, cultures, and experience, coupled with subject\nmatter experts in each required skill area;\n▶Understanding from past learning of the same or similar endeavors;\nPMI Seventh Edition July 202157\nSection 3 – Project Management Principles▶Ability and willingness to anticipate multiple potential scenarios and prepare for multiple\neventualities;\n▶Deferring decision making to the last responsible moment;\n▶Management support; and\n▶Open-ended design that balances speed and stability.\nEnvisioning outcomes rather than deliverables can enable solutions, harnessing a better \nresult than the one originally planned. For example, a project team may find an alternative solution \nthat would provide stronger outcomes than the original defined deliverable. While exploration of alternatives is usually the purview of the business case, technologies and other capabilities are evolving so rapidly that a solution could emerge at any time between completion of the business case and project closure. Opportunities for adaptation may emerge during a project, at which time the project team should make a case to the project sponsor, product owner, or customer for capturing the opportunity. Depending on the type of contract, the customer’s approval may be needed for some of the changes that result from the adaptation. The project team should be prepared to adapt its plans and activities to take advantage of the opportunity, with the support of the project sponsor, product owner, or customer.\nUnexpected changes and circumstances in a project system can also present opportunities. \nTo optimize value delivery, project teams should use problem solving as well as a holistic-thinking approach to changes and unplanned events. When an unplanned event occurs, project teams should look for potential positive outcomes that might be gained. For example, incorporating a change that occurs late in a project time line could add competitive advantage by being the first product in the market to offer the feature.\nBuilding adaptability and resiliency in a project keeps project teams focused on the desired \noutcome when internal and external factors change, and it helps them recover from setbacks. These characteristics also help project teams learn and improve so that they can quickly recover from failures or setbacks and continue making progress toward delivering value.\nPMI Seventh Edition July 202158\nThe Standard for Project Management3.12 ENABLE CHANGE TO ACHIEVE THE ENVISIONED \nFUTURE ST\nATE\nRemaining relevant in today’s business environment is a fundamental challenge for all \norganizations. Relevance entails being responsive to stakeholder needs and desires. This requires \ncontinually evaluating offerings for the benefit of stakeholders, rapidly responding to changes, and acting as agents for change. Project managers are uniquely poised to keep an organization prepared for changes. Projects, by their very definition, create something new: they are agents of change.\nChange management, or enablement, is a comprehensive, cyclic, and structured approach for \ntransitioning individuals, groups, and organizations from a current state to a future state in which they realize desired benefits. It is different from project change control, which is a process whereby modifications to documents, deliverables, or baselines associated with the project are identified and documented, and then are approved or rejected.CHANGE\nA structured approach to change helps individuals, groups, and \nthe organization transition from the curr ent state to a future \ndesired state.\nChang e can originate from intern al influences or exter nal \nsources.Enabling change can be challenging as not all stak eholders \nembrace chang e.\nAttempting too much change in a short time can lead to \nchang e fatigue and/or resistance.\nStakeholder enga gement and motiva tional approaches assist in \nchang e adoption.Prepare those impacted \nfor the adoption and sustainment of new and different behaviors and \nprocesses required for the transition from the cur rent \nstate to the intended future state created by the project outcomes.\nFigure 3-13. Enable Change to Achieve the Envisioned Future State\nPMI Seventh Edition July 202159\nSection 3 – Project Management PrinciplesChange in an organization can originate from internal sources, such as the need for a new \ncapability or in response to a performance gap. Change can also originate from external sources such \nas technological advances, demographic changes, or socioeconomic pressures. Any type of change involves some level of adaptability or assimilation by the group experiencing the change as well as the industries with which the group interacts.\nChange may be implemented by and have consequences for stakeholders. Enabling \nstakeholder change is part of facilitating the project to provide the required deliverable as well \nas the intended outcome.\nEnabling change in an organization can be challenging. Some people may seem inherently\n \nresistant to change or risk averse, and environments may display a conservative culture, among other reasons. Effective change management uses a motivational strategy rather than a forceful one. Engagement and two-way communication create an environment in which adoption and assimilation of change can occur or identify some valid concerns from the resistant users that \nmay need to be addressed.\nProject team members and project managers can work with relevant stakeholders to address \nresistance, fatigue, and change absorption to increase the probability that change will be adopted or assimilated successfully by customers or recipients of project deliverables. This includes communicating the vision and goals associated with the change early in the project to achieve buy-in for the change. The benefits of the change and the impact on work processes should be communicated to all levels of the organization throughout the project.\nIt is also important to adapt the speed of change to the change appetite, cost, and ability of \nthe stakeholders and the environment to assimilate change. Attempting to create too many changes in too short a time can lead to resistance because of change saturation. Even when stakeholders unanimously agree that change will produce more value or enhance outcomes, they often still have difficulty working through the actions that will deliver enhanced benefits. To foster benefits realization, the project may also include activities to reinforce the change after its implementation in order \nto avoid people returning to the initial state.\nRecognizing and addressing the needs of stakeholders to embrace change throughout the \nproject life cycle helps to integrate the resulting change in the project work, making a successful outcome more likely.\nMore information on organizational change management may be found in Managing Change \nin Organizations: A Practice Guide\n [4].\nPMI Seventh Edition July 202160\nThe Standard for Project ManagementREFERENCES\n[1] Project Management Institute. 2016. PMI Lexicon of Project Management Terms. Available from\nhttp://www.pmi.org/lexiconterms\n[2] Project Management Institute. 2006. PMI Code of Ethics and Professional Conduct. Available from\nhttp://www.pmi.org/codeofethics[3] Project Management Institute. 2019. The Standard for Risk Management in Portfolios, Programs,\nand Projects. Newtown Square, PA: Author.\n[4] Project Management Institute. 2013. Managing Change in Organizations: A Practice Guide.\nNewtown Square, PA: Author.\nPMI Seventh Edition July 202161\nIndexIndex\nA\nAcademic research, 18\nAcceptance criteria, 48Accountability\ncollaborative project team environment and, 30\nActive listening, 42Adaptability\ndefinition, 55resiliency and, principle, 55–57\nAdaptive environments\ndirection, insight and, 15feedback and, 14\nAgreements\nteam, 29\nAmbiguity\ndefinition, 51uncertainty and, 51\nAssumption(s), 35, 39Audience, 5Audits, quality, 48Authority\ncollaborative project team environment and, 30leadership contrasted with, 41\nAutocratic decision making, 41\nB\nBehavior\nhuman, 51system, 51\nBenefit(s)\ntailored project approach and, 46value and, 10Benefits realization\nstakeholders and, 32\nBusiness case\ncontent of, 34project initiation and, 34solutions and, 57updating, 35value and, 34\nBusiness direction, 15Business environment, 42, 58Business need, 35Business requirements, 35Business strategy, 35\nC\nCare, stewardship and, 26Change\nenabling to achieve envisioned future state, principle 58–59origination of, 59unexpected, 57\nChange appetite, 59Change control\nproject, 58systems thinking and, 54\nChange management, 58Charter. See Project charter; Team charterCode of ethics, 21Collaborative project team environment, \nprinciple 28–30\norganizational structures, 29processes and, 29roles, responsibilities and, 30team agreements, 29\nPMI Seventh Edition July 202162\nThe Standard for Project ManagementCommercial databases, 18\nCommunication\nconversation, 41engagement and, 33two-way, 59\nCompetencies, 17, 20Complexity\ndefinition, 50navigation of, principle, 50–52project, 50project life cycle and, 52sources of, 51\nCompliance\nstewardship and, 24, 27\nConfidentiality, 17Configuration management systems, 17Conformity, 48Context, tailoring based on, principle, 44–46Contractor(s), 38. See also Subcontractors\nConversation, 41Coordination\noversight and, 13types of, 12\nCost-benefit analysis, 35Criteria\nacceptance, 48, 49\nCultural influences and issues, 18Culture, organization and, 17\nD\nData assets, 17Databases, commercial, 18Deliverable(s). See also Result(s)\nbuilding quality into processes and, principle 47–49information flow and, 11outcomes and, 10, 34, 36, 57products as, 18, 20quality activities and, 48\nDomains. See Performance domains; Project \nperformance domainsE\nEfficiency, 48Employee capability, 17Engagement. See also Stakeholder engagement\ncommunication and, 33, 59\nEnvironment. See also Adaptive environments; \nGlobalization/global environment; Project environment\nbusiness, 42, 58external, 18internal, 16–17physical, 18regulatory, 18\nEthics, code of, 21Expertise, 15External environment, 18\nF\nFacilitation\nleadership skill and, 42support and, 14\nFacilities, geographical distribution of, 17Feasibility study, 34Feedback, objectives and, 13–14Financial considerations, 18\nG\nGeneral management principles, 22Geographic distribution of facilities/resources, 17Governance. See also Organizational governance\nmaintaining, 16organizational culture, structure and, 17portfolio, 19project, 11systems, organizational, 12\nGovernance documentation, 17\nPMI Seventh Edition July 202163\nIndexH\nHigh-performing projects, 42\nHolistic thinking approach, 57Holistic view, 27, 37, 44, 56Human behavior, 51Hybrid environments\ndirection, insight and, 15feedback and, 14\nI\nImprovement, continuous, 42Industry standards, 18Influence\nleadership and, 41stakeholders and, 31, 32\nInformation flow, value delivery system, 11Information technology software, 17Infrastructure, 17Innovation\nfacilitation of, 16technological, 51\nInsights\nbusiness direction and, 15contributing, 14\nInspection, 48, 56Integrity, 26Internal environment, 16–17Interpersonal skills\nstakeholder engagement and, 33\nK\nKey concepts, 4–5Key terms, 4–5Knowledge assets, 17\nL\nLeadership.\nauthority contrasted with, 41character and, 43motivation and, 43shared, 43styles and, 41Leadership behaviors, principle, 40–43\nauthority contrasted with, 41\nmotivators and, 43neutral facilitation and, 42personal character and, 43styles of leadership, 41\nLeadership skills and techniques, 42\nM\nManagement. See also Product management; \nProgram management; Project management\nchange, 58risk, 32supply chain, 8\nManager(s). See also Project managerMethodology, definition, 45Monitoring\nproject risk and, 54\nMotivation\nchange management and, 59leadership and, 43\nN\nNavigate complexity, principle, 50Negative risks (threats), 53\nO\nObjectives\nfeedback and, 13–14\nOpportunities\nadaptation and, 57identification of, 16maximizing, 53, 54\nOrganization(s)\ndefinition, 7\nOrganizational culture, 17Organizational governance\nsystems, 12\nOrganizational structure(s)\ncollaborative project team environment and, 29\nPMI Seventh Edition July 202164\nThe Standard for Project ManagementOutcome(s)\ndefinition, 4\nenvisioning, 57leadership and, 43stakeholders and, 32system interactions and, 39tailoring projects and, 46updating of, 35\nOutput(s).\noutcomes and, 4, 35, 55\nOversight, coordination and, 13\nP\nParameters, 29Performance, 48Performing organization, 4, 35, 36Physical environment, 18PM. See Project managerPortfolio(s)\ndefinition, 4governance of, 19, 20information flow and, 11\nPositive risks, 53. See also Opportunities\nPrinciples, project management\nadaptability and resiliency, embracing, 55–57change, enabling to achieve envisioned future state, 58–59collaborative project team environment, 28–30complexity, navigation of, 50–52general management principles and, 22leadership behaviors, 40–43overview, 21–23principle labels, 23quality, building into processes and deliverables, 47–49risk responses, optimizing, 53–54stakeholder engagement, 31–33stewardship, 24–27system interactions and, 37–39tailoring, context and, 44–46value, focus on, 34–36\nProblem solving, 57Process assets, 17Process(es)\ntailoring, 45\nProduct(s)\ndefinition, 4\nProduct life cycle\ndefinition, 19product management within, 19, 20program management within, 20project management within, 20sample, 19\nProduct management\nconsiderations, 18–20forms of, 20within a program, 20\nProfessional conduct, 21Program(s)\ndefinition, 4product management within, 20\nProgram management\nwithin product life cycle, 20\nProject(s)\nas agents of change, 58business case and, 34definition, 4, 50effects of, 27feedback and, 14functions associated with, 12–16internal and external factors, 55uniqueness and, 45\nProject change control, 58Project closure, 16, 57Project complexity, 50Project environment\nadaptability, resilience and, 56–57external environment, 18internal environment, 16–17\nProject governance, 11Project justification, 35Project life cycle\ncomplexity and, 50, 52tailoring and, 46\nProject management\ndefinition, 4within a product life cycle, 20within a program, 20values and, 21\nPMI Seventh Edition July 202165\nIndexProject management principles\nadaptability and resiliency, embracing, 55–57\nchange, enabling to achieve envisioned future state, 58–59collaborative project team environment, 28–30complexity, navigation of, 50–52general management principles and, 22leadership behaviors, 40–43overview, 21–23principle labels, 23quality, building into processes and deliverables, 47–49risk responses, optimizing, 53–54stakeholder engagement, 31–33stewardship, 24–27system interactions and, 37–39tailoring, context and, 44–46value, focus on, 34–36\nProject management team. See also Project \nteam(s)\nProject manager (PM). See also Competencies; \nLeadership skills\ndefinition, 4\nProject requirements, 4, 14, 32Project risk\nexposure, 54management of, 54\nProject sponsor, 57Project stakeholder(s)\nexternal, 25, 56\nProject success\nleadership and, 43tailoring and, 44\nProject team(s). \ncomplexity and, 52definition, 5diverse, 30quality measurement and, 48risk and, 53–54stakeholders and, 33systems thinking and, 38tailoring and, 45\nProject team environment, collaborative, 28–30Q\nQuality\nfor processes and deliverables, principle, 47–49definition, 47dimensions of, 48\nQuality activities, 48Quality management processes, positive \noutcomes of, 49\nQuality requirements\nidentification of, 32\nR\nRegulatory environment, 18Relevance, 58Reliability, 48Requested change, 13Requirement(s).\nbusiness, 35definition, 48project, 4, 14, 32\nResearch, academic, 18Resilience, 48Resiliency\nadaptability and, principle, 55–57definition, 55\nResource(s)\navailability of, 17direction and, 15–16geographical distribution of, 17\nResponsibility, collaborative project team \nenvironment and, 30\nRisk(s). See also Opportunities; Project risk; \nThreat(s)\ndefinition, 53identification of, 53negative (threats), 53positive (opportunities), 53project teams and, 53–54\nRisk appetite\ndefinition, 54\nRisk attitude, 53\nPMI Seventh Edition July 202166\nThe Standard for Project ManagementRisk responses, optimizing, principle, 53–54\nRisk threshold, 54Role(s)\nclarity on, 30definitions of, 53leadership and, 40, 41\nS\nSafety, security and, 17Satisfaction, 48Scope creep, 55, 56Security, safety and, 17Skills\nleadership, 41systems view and, 38–39\nSocial influences and issues, 18Social media, 51Software\ninformation technology, 17value realization and, 36\nSponsoring organization, 19Stakeholder(s). See also Project stakeholder(s)\nexternal, 25, 56project aspects and, 32project teams as group of, 33\nStakeholder change, 59Stakeholder engagement, effective, principle, \n31–33\nStakeholder expectations, 49Standards, industry, 18Stewardship, principle, 24–27\ncare and, 26compliance and, 27duties, 25–27integrity and, 26meanings and contexts, 25within the organization, 25outside the organization, 25overview, 24trustworthiness and, 27\nSubcontractor(s), 17, 38, 50Subsidiary programs, 4, 20Success, 32. See also Project success\nvalue and, 34Support\nfacilitation and, 14\nSustainability, 25, 48System(s)\ndefinition, 37system of, 37\nSystem behavior, 51System for value delivery, 7–20\ncomponents of, sample system, 10creating value, 7–11definition, 5example of, 9functions associated with projects, 12–16information flow and, 11organizational governance systems and, 12overview, 7product management considerations, 18project environment, 16\nSystem interactions, principle, 37–39\npositive outcomes and, 39\nSystems thinking\ninternal and external conditions, 38project team and, 38skills and, 38–39timing elements and, 38\nT\nTailoring\nbenefits, direct and indirect, 46context and, principle, 44–46definition, 44positive outcomes and, 46\nTeam(s). See Project team(s)Team agreements, 29Team environment, collaborative, principle, \n28–30\nTechnological innovation, 51Threat(s)\ndecreasing exposure to, 53\nThreshold\nrisk, 54\nTrustworthiness, stewards and, 27\nPMI Seventh Edition July 202167\nIndexU\nUncertainty,\nambiguity and, 51\ndefinition, 51\nUniformity, 48\nV\nValue. See also System for value delivery\ncreating, 7–11definition, 5, 35delivery components, 8–10focus on, principle, 34–36optimization of, 57Value contribution, 36Value delivery. See also System for value delivery\ncomponents, 8\nValue engineering, 36Value realization, 36Variations, 54\nW\nWBS. See Work breakdown structure\nWork, performance of, 14Work breakdown structure (WBS)\ndecomposition and, 29\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021A GUIDE TO \nTHE PROJECT MANAGEMENT BODY OF KNOWLEDGE\n(PMBOK® GUIDE )\nThe information contained in the \nPMBOK® Guide is not an American \nNational Standard (ANS) and has not been processed in accordance with ANSI’s requirements for an ANS. As such, the information in the PMBOK\n® Guide may contain material \nthat has not been subjected to public review or a consensus process. In addition, it does not contain requirementconformance to an ANS standard.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20213Introduction\nThis section describes important information about A Guide to the Project Management Body \nof Knowledge (PMBOK® Guide) – Seventh Edition. It describes the relationship of the PMBOK® Guide \nto The Standard for Project Management [1],1 changes to the PMBOK® Guide, the relationship to \nPMIstandards+™ (PMI’s digital platform for standards), and provides a brief overview of the content.\n1.1 STRUCTURE OF THE PMBOK® GUIDE\nIn addition to this Introduction, this edition of the PMBOK® Guide contains three sections:\n▶Section 2 Project Performance Domains. This section identifies and describes eight\nproject performance domains that form an integrated system to enable successful delivery\nof the project and intended outcomes.\n▶Section 3 Tailoring. This section describes what tailoring is and presents an overview\nof what to tailor and how to go about tailoring individual projects.\n▶Section 4 Models, Methods, and Artifacts. This section presents a brief description\nof commonly used models, methods, and artifacts. These models, methods, and artifactsillustrate the range of options project teams can use to produce deliverables, organizework, and enable communication and collaboration.1\n1 The numbers in brackets refer to the list of references at the end of the PMBOK® Guide.\nPMI Seventh Edition July 20214\nPMBOK® Guide1.2 RELATIONSHIP OF THE PMBOK® GUIDE AND \nTHE ST\nANDARD FOR PROJECT MANAGEMENT\nWork in the project performance domains is guided by the principles of project management. \nAs described in The Standard for Project Management [1], a principle is a fundamental norm, truth, \nor value. The principles for project management provide guidance for the behavior of people \ninvolved in projects as they influence and shape the performance domains to produce the intended outcomes. While there is conceptual overlap between the principles and the performance domains, the principles guide behavior, while the performance domains present broad areas of focus in which to demonstrate that behavior. Figure 1-1 shows how the project management principles sit above the performance domains, providing guidance to activities in each performance domain.\nPMI Seventh Edition July 20215\nSection 1 – IntroductionGuide BehaviorPrinciples of Project Management\nStakeholders\nProject WorkTeam\nDelivery PlanningUncert ainty\nMeasurementProject\nPerformance\nDomainsBe a dilig ent, respectful,\nand caring stewardFocus on v alue\nBuild quality into\nprocesses and delive rablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely eng age\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nDevelopmen t\nApproach\nand\nLife Cycle\nFigure 1-1. Relationship between Project Management Principles and Project Performance Domains\nPMI Seventh Edition July 20216\nPMBOK® Guide1.3 CHANGES TO THE PMBOK® GUIDE\nThis edition of the PMBOK® Guide focuses on delivering outcomes regardless of the approach \nused by the project team. However, project practitioners using the PMBOK® Guide also benefit from \nsome level of understanding of how to deliver projects.\nThis edition is very different from the inputs, tools/techniques, and outputs (ITTOs) from \nprevious editions of the PMBOK® Guide. In the previous editions, the ITTOs supported implementation \nof various processes used in project management. The shift from a process-based standard to one \nbased on principles necessitates a different approach for thinking about the various aspects of \nproject management. Thus, the project performance domains represent a group of related activities \nthat are critical for the effective delivery of project outcomes. There are eight project performance \ndomains in this guide.\nTailoring is the deliberate adaptation of the project management approach, governance, \nand processes to make them more suitable for the given environment and the work at hand. The \ntailoring process is driven by the guiding project management principles, organizational values, and \norganizational culture.\nIn embracing the full spectrum of project approaches, this edition of the PMBOK® Guide \nrecognizes that no publication can capture every tool, technique, or practice that project teams \nmight use. Therefore, this edition presents an array of commonly used models, methods, and \nartifacts that project practitioners can use to accomplish their work.\n1.4 RELATIONSHIP TO PMIstandards+\nInformation in this guide is furt her elaborated on PMIstandards+, P MI’s digital content platform. \nThe digital platform encompas ses current and emerging pract ices and other useful informatio n \nrelated to PMI’s library of standards products. It also includes practical examples of applicat ion within \nvarious contexts and industry segments. PMIstandards+ evolved in response to advances and changes \nin how projects can be delivere d. It offers a dynamic body of knowle dge with real-time access and \nin-depth information that is ali gned to PMI standards and c arefully vetted by a panel of subject matter \nexperts representing a wide range of expertise.\nPMI Seventh Edition July 20217Project \nPerformance Domains\nA project performance domain is a group of related activities that are critical for the effective \ndelivery of project outcomes. Project performance domains are interactive, interrelated, and \ninterdependent areas of focus that work in unison to achieve desired project outcomes. There are eight project performance domains:\n▶Stakeholders,\n▶Team,\n▶Development Approach and Life Cycle,\n▶Planning,\n▶Project Work,\n▶Delivery,\n▶Measurement, and\n▶Uncertainty.2\nTogether the performance domains form a unified whole. In this way, the performance domains \noperate as an integrated system, with each performance domain be ing interdependent of the other \nperformance domains to enable succe ssful delivery of the project and its intended outcomes.\nPerformance domains run concurrently throughout the project, regardless of how value is \ndelivered (frequently, periodically, or at the end of the project). For example, project leads spend \ntime focused on stakeholders, the project team, the project life cycle, the project work, and so forth, \nfrom the outset of the project to its closure. These areas of focus are not addressed as siloed e fforts \nbecause they overlap and interconnect. The ways in which the performance domains relate are \ndifferent for each project, but they are present in every project.\nThe specific activities undertake n within each of the performance do mains are determined \nby the context of the organizatio n, the project, deliverables, the project team, stakeholders, and \nother factors. The performance domains are presented in the follo wing sections wit hout specific \nweighting or order.\nPMI Seventh Edition July 20218\nPMBOK® Guide2.1 STAKEHOLDER PERFORMANCE DOMAIN\nSTAKEHOLDER PERFORMANCE DOMAIN\nA productive working relationship with stak eholders \nthroughout the project.\nStakeholder agreement with project objectiv es.\nStakeholders who are project beneficiaries are suppor tive \nand satisfied wh ile stakeholders who may oppose the \nproject or its deliverables do not nega tively impact project \noutcomes.The Stakeholder \nPerformance Domain \naddresses activities and functions associated with stakeholder s.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-1. Stakeholder Performance Domain\nThe following definitions are relevant to the Stakeholder Performance Domain:\nStakeholder. An individual, group, or organization that may affect, be affected by, or perceive \nitself to be affected by a decision, activity, or outcome of a project, program, or portfolio.\nStakeholder Analysis. A method of systematically gathering and analyzing quantitative and \nqualitative information to determine whose interests should be taken into account throughout \nthe project. \nPMI Seventh Edition July 20219\nSection 2 – Project Performance DomainsProjects are performed by people and for people. This performance domain entails working \nwith stakeholders to maintain alignment and engaging with them to foster positive relationships \nand satisfaction.\nStakeholders include individuals, groups, and organizations (see Figure 2-2). A project can \nhave a small group of stakeholders or potentially millions of stakeholders. There may be different \nstakeholders in different phases of the project, and the influence, power, or interests of stakeholders may change as the project unfolds.\n• Project Manage r\n• Project Manag ement\nTeam\n• Project Team• Governing Bodies\n• PMOs\n• Steering Committees• Suppliers\n• Customers\n• End Users\n• Regulatory Bodies\nFigure 2-2. Examples of Project Stakeholders\nPMI Seventh Edition July 202110\nPMBOK® GuideEffective stakeholder identification, analysis, and engagement includes stakeholders who are \ninternal and external to the organization, those who are supportive of the project, and those who \nmay not be supportive or are neutral. While having relevant technical project management skills is an important aspect of successful projects, having the interpersonal and leadership skills to work effectively with stakeholders is just as important, if not more so.\n2.1.1 STAKEHOLDER ENGAGEMENT\nStakeholder engagement includes implementing strategies and actions to promote productive \ninvolvement of stakeholders. Stakeholder engagement activities start before or when the project starts and continue throughout the project.\nIdentify\nPrioritizeUnderstand Monitor\nAnalyze Engage\nFigure 2-3. Navigating Effective Stakeholder Engagement\nPMI Seventh Edition July 202111\nSection 2 – Project Performance DomainsDefining and sharing a clear vision at the start of the project can enable good relationships \nand alignment throughout the project. Establishing a clear vision that key stakeholders agree on can \nentail some challenging negotiations, especially with stakeholders who are not necessarily in favor of the project or its intended outcomes. As shown in Figure 2-3, there are several steps to engage stakeholders effectively.\n2.1.1.1 Identify\nHigh-level stakeholder identification may be carried out prior to forming the project team. \nDetailed stakeholder identification progressively elaborates the initial work and is a continuous activity throughout the project. Some stakeholders are easy to identify, such as the customer, sponsor, project team, end users, and so forth, but others can be difficult to identify when they are not directly connected to the project.\n2.1.1.2 Understand and Analyze\nOnce stakeholders are identified, the project manager and the project team should seek \nto understand stakeholders’ feelings, emotions, beliefs, and values. These elements can lead to additional threats or opportunities for the project outcomes. They can also change quickly, and as such, understanding and analyzing stakeholders is an ongoing action.\nRelated to understanding the project stakeholders is the need to analyze aspects of each \nstakeholder’s position on and perspective of the project. Analyzing stakeholders considers several stakeholder aspects, such as:\n▶Power,\n▶Impact,\n▶Attitude,\n▶Beliefs,\n▶Expectations,\n▶Degree of influence,\n▶Proximity to the project,\n▶Interest in the project, and\n▶Other aspects surrounding stakeholder interaction with the project.\nPMI Seventh Edition July 202112\nPMBOK® GuideThis information helps the project team consider interactions that may in fluence the \nmotivations, actions, and behaviors of stakeholders. In addition to individual analysis, the project \nteam should consider how stakeholders interact with each other, as they often form alliances that \nhelp or hinder the project’s objectives. For example, if the project team believes a key business \nmanager is highly influential but has negative perceptions related to the project, they can explore \nhow to detect the business manager’s perceptions and respond appropriately as the project unfolds. \nIn all cases, the analysis work should be held in confidence by the project team since the information \ncould be misinterpreted outside the context for the analysis.\n2.1.1.3 Prioritize\nOn many projects, there are t oo many stakeholders involved for t he project team to engage \ndirectly or effectively with all of them. Based on its anal ysis, t he project team can complete an initial \nprioritization of stakeholders. It is common to focus on stakeholders with the most power and interest \nas one way to prioritize engageme nt. As events unfold throughout t he project, the project team may \nneed to reprioritize based on new stakeholders or evolving changes in the stakeholder landscape.\n2.1.1.4 Engage\nStakeholder engagement entails working collaboratively with stakeholders to introduce the \nproject, elicit their requirements, manage expectations, resolve issues, negotiate, prioritize, problem \nsolve, and make decisions. Engaging stakeholders requires the application of soft skills, such as \nactive listening, interpersonal skills, and conflict management, as well as leadership skills such as \nestablishing the vision and critical thinking.\nCommunication with stakeholders can take place via written or verbal means, and it can be \nformal or informal. Examples of each type of communication are shown in Table 2-1.\nPMI Seventh Edition July 202113\nSection 2 – Project Performance DomainsCommunication methods include push, pull, and interactive communication:\n▶Push. Communication sent to stakeholders such as memos, emails, status reports,\nvoice mail, and so forth. Push communication is used for one-way communications withindividual stakeholders or groups of stakeholders. Push communication inhibits the abilityto immediately gauge reaction and assess understanding; therefore, it should be useddeliberately.\n▶Pull. Information sought by the stakeholder, such as a project team member going to anintranet to find communication policies or templates, running internet searches, and usingonline repositories. Pulling information is used for indirect sensing of stakeholder concerns.\nEngagement goes deeper than pushing or pulling communication. Engagement is interactive. \nIt includes an exchange of information with one or more stakeholders such as conversations, phone calls, meetings, brainstorming, product demos, and the like.\nWith all forms of communication, quick feedback loops provide useful information to:\n▶Confirm the degree to which the stakeholder(s) heard the message.\n▶Determine if stakeholders agree with the message.\n▶Identify nuanced or other unintended messages the recipient detected.\n▶Gain other helpful insights.Table 2-1. Types of Communication\nType Informal Formal\nVerbal\nWrittenPresentations\nProject reviewsBriefingsProduct demosBrainstorming\nProgress reports\nProject documentsBusiness caseConversationsAd hoc discussions\nBrief notes\nEmailInstant messaging/textingSocial media\nPMI Seventh Edition July 202114\nPMBOK® Guide2.1.1.5 Monitor\nThroughout the project, stakeholders will change as new stakeholders are identi fied and others \ncease to be stakeholders. As the project progresses, the attitude or power of some stakeholders may \nchange. In addition to identifying and analyzing new stakeholders, there is an opportunity to assess \nwhether the current engagement strategy is effective or if it needs to be adjusted. Therefore, the \namount and effectiveness of stakeholder engagement is monitored throughout the project.\nThe degree of stakeholder satisfaction can often be determined by having a conversation with \nstakeholders to gauge their satisfaction with the project deliverables and the overall management of \nthe project. Project and iteration reviews, product reviews, stage gates, and other methods are ways \nto obtain periodic feedback. For large groups of stakeholders, a survey can be used to assess the \ndegree of satisfaction. Where necessary, the stakeholder engagement approach can be updated to \nachieve higher stakeholder satisfaction.\n2.1.2 INTERACTIONS WITH OTHER PERFORMA NCE DOMAINS\nStakeholders permeate all aspects of the project. They define and prioritize the requirements \nand scope for the project team. They participate in and shape the planning. They determine \nacceptance and quality criteria for the project deliverables and outcomes. Much of the project work \nis around engaging and communicating with stakeholders. Throughout the project or at its closure, \nthey use the project deliverables and influence the realization of project outcomes.\nSome stakeholders can assist in lowering the amount of uncertainty present on a project while \nothers may cause an increase in uncertainty. Stakeholders such as customers, senior management, \nproject management office leads, or program managers will focus on measures of performance for \nthe project and its deliverables. These interactions are samples of how the Stakeholder Performance \nDomain integrates and interweaves with other performance domains, though they are not inclusive \nof all the ways stakeholder concerns interact throughout the performance domains.\nPMI Seventh Edition July 202115\nSection 2 – Project Performance Domains2.1.3 CHECKING RESULTS\nTable 2-2 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-2. Checking Outcomes—Stakeholder Performance Domain\nOutcome Check\nA productive working relationship \nwith stakeholders throughout the project\nStakeholder agreement with project \nobjectives\nStakeholders who are project \nbeneficiaries are supportive and satisfied; stakeholders who may oppose the project or its deliverables do not negatively \nimpact project resultsProductive working relationships with stakeholders can be observed. Ho wever, \nthe movement of stakeholders along a continuum of engagement can indicate the relative level of satisfaction with the project.\nA significant number of changes or modifications to the project and product \nrequirements in addition to the scope may indicate stakeholders are not engaged or aligned with the project objectives.\nStakeholder behavior can indicate whether project beneficiaries are satisfied \nand supportive of the project or whether they oppose it. Sur veys, interviews, \nand focus groups are also effective ways to determine if stakeholders are satisfied and supportive or if they oppose the project and its deliverables.\nA review of the project issue register and risk register can identify challenges \nassociated with individual stakeholders.\nPMI Seventh Edition July 202116\nPMBOK® Guide2.2 TEAM PERFORMANCE DOMAIN\nThis performance domain entails establishing the culture and environment that enables \na collection of diverse individuals to evolve into a high-performing project team. This includes \nrecognizing the activities needed to foster project team development and encouraging leadership behaviors from all project team members.TEAM PERFORMANCE DOMAIN\nShared ownership.\nA high-performing team.\nApplicable leadership and other interpersonal skills \ndemonstrated by all team members.The Team P erformance \nDomain addresses \nactivities and functions associated with the people who are responsi-ble for producing project deliverables that realize business outcomes.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-4. Team Performance Domain\nThe following definitions are relevant to the Team Performance Domain:\nProject Manager. The person assigned by the performing organization to lead the project team \nthat is responsible for achieving the project objectives.\nProject Management Team. The members of the project team who are directly involved in project \nmanagement activities.\nProject Team. A set of individuals performing the work of the project to achieve its objectives. \nPMI Seventh Edition July 202117\nSection 2 – Project Performance Domains2.2.1 PROJECT TEAM MANAGEMENT AND LEADERSHIP\nProject management entails applying knowledge, skills, tools, and techniques for management \nactivities as well as leadership activities. Management activities focus on the means of meeting \nproject objectives, such as having effective processes, planning, coordinating, measuring, and monitoring work, among others. Leadership activities focus on people. Leadership includes influencing, motivating, listening, enabling, and other activities having to do with the project team. Both are important in delivering the intended outcomes.\n2.2.1.1 Centralized Management and Leadership\nWhile leadership activities should be practiced by all project team members, management \nactivities may be centralized or distributed. In an environment where management activities are centralized, accountability (being answerable for an outcome), is usually assigned to one individual, such as the project manager or similar role. In these situations, a project charter or other authorizing document can provide approval for the project manager to form a project team to achieve the project outcomes.\n2.2.1.2 Distributed Management and Leadership\nSometimes project management activities are shared among a project management team, \nand project team members are responsible for completing the work. There are also situations where a project team may self-organize to complete a project. Rather than having a designated project manager, someone within the project team may serve as facilitator to enable communication, collaboration, and engagement. This role may shift among project team members.\nServant leadership is a style of leadership that focuses on understanding and addressing the \nneeds and development of project team members in order to enable the highest possible project team performance. Servant leaders place emphasis on developing project team members to their highest potential by focusing on addressing questions, such as:\n▶Are project team members growing as individuals?\n▶Are project team members becoming healthier, wiser, freer, and more autonomous?\n▶Are project team members more likely to become servant leaders?\nPMI Seventh Edition July 202118\nPMBOK® GuideServant leaders allow project teams to self-organize when possible and increase levels of \nautonomy by passing appropriate decision-making opportunities to project team members. Servant \nleadership behaviors include:\n▶Obstacle removal. Since it is the project team who generates the majority of business\nvalue, a critical role for the servant leader is to maximize delivery by removing impedimentsto their progress. This includes solving problems and removing obstacles that may behampering the project team’s work. By solving or easing these impediments, the projectteam can deliver value to the business faster.\n▶Diversion shield. Servant leaders protect the project team from internal and external\ndiversions that redirect the project team from the current objectives. Time fragmentationreduces productivity, so shielding the project team from noncritical, external demandshelps the project team stay focused.\n▶Encouragement and development opportunities. The servant leader also provides\ntools and encouragement to keep the project team satisfied and productive. Learning whatmotivates project team members as individuals and finding ways to reward them for goodwork helps keep project team members satisfied.\n2.2.1.3 Common Aspects of Team Development\nRegardless of how the management activities are structured, there are common aspects \nof project team development that are relevant for most project teams. These include: \n▶Vision and objectives. It is essential that everyone is aware of the project vision and\nobjectives. The vision and objectives are communicated throughout the project. Thisincludes referencing the intended outcomes when the project team is engaged in makingdecisions and solving problems.\n▶Roles and responsibilities. It is important to make sure project team members\nunderstand and fulfill their roles and responsibilities. This can include identifying gapsin knowledge and skills as well as strategies to address those gaps through training,mentoring, or coaching.\nPMI Seventh Edition July 202119\nSection 2 – Project Performance Domains▶Project team operations. Facilitating project team communication, problem solving, and\nthe process of coming to consensus may include working with the project team to develop\na project team charter and a set of operating guidelines or project team norms.\n▶Guidance. Guidance can be directed to the overall project team to keep everyone headed\nin the right direction. Individual project team members may also provide guidance on\na particular task or deliverable.\n▶Growth. Identifying areas where the project team is performing well and pointing out areas\nwhere the project team can improve helps the project team to grow. Working collaboratively,the project team can identify goals for its improvement and take steps to meet those goals.This also applies to each individual on the project team. Individuals may want to grow theirskills and experience in certain areas, and the project manager can assist with that.\nThere are several models that describe the stages of project team growth included in Section 4.\nWhen project teams form across different organizations based on a contract, strategic \npartnership, or other business relationship, specific roles that perform various functions may be more formalized and less flexible depending on the contract or other terms. Such arrangements often require more up-front work to establish a “one team” mindset, ensure project team members understand how everyone contributes to the project, and establish other enablers that integrate skills, capabilities, and processes.\nPMI Seventh Edition July 202120\nPMBOK® Guide2.2.2 PROJECT TEAM CULTURE\nEach project team develops its own team culture. The project team’s culture may be established \ndeliberately by developing project team norms, or informally through the behaviors and actions of its \nproject team members. The project team culture operates within the organization’s culture but reflects the project team’s individual ways of working and interacting.\nThe project manager is key in establishing and maintaining a safe, respectful, nonjudgmental \nenvironment that allows the project team to communicate openly. One way to accomplish this is by modeling desired behaviors, such as:\n▶Transparency. Being transparent in how one thinks, makes choices, and processes\ninformation helps others identify and share their own processes. This can extend to beingtransparent about biases as well.\n▶Integrity. Integrity is comprised of ethical behavior and honesty. Individualsdemonstrate honesty by surfacing risks, communicating their assumptions and basisof estimates, delivering bad news early, ensuring status reports provide an accuratedepiction of the project’s status, and in many other ways. Ethical behavior can includesurfacing potential defects or negative effects in product design, disclosing potentialconflicts of interest, ensuring fairness, and making decisions based on environmental,stakeholder, and financial impacts.\nHuman beings have a set of biases, some of them unconscious and some of them conscious. \nFor example, one person may feel that unless a schedule is displayed using a software-generated Gantt chart, that it is not a true or valid schedule. Another person may have a contrasting bias that detailed planning any further out than 30 days is a waste of time. Being open and transparent about biases up front establishes a culture of openness and trust that can enable consensus and collaboration. \nPMI Seventh Edition July 202121\nSection 2 – Project Performance Domains▶Respect. Demonstrating respect for each person, how the person thinks, the person’s\nskills, and the perspective and expertise the person brings to the project team sets thestage for all project team members to adopt this behavior.\n▶Positive discourse. Throughout the project, diverse opinions, different ways of\napproaching situations, and misunderstandings will occur. These are a normal part ofconducting projects. They present an opportunity to have a dialogue rather than a debate.A dialogue entails working with others to resolve divergent opinions. The goal is to arriveat a resolution that all parties can embrace. A debate, on the other hand, is a win-losescenario where people are more interested in winning personally than they are in beingopen to alternative solutions to a problem.\n▶Support. Projects can be challenging from the perspectives of technical challenges,\nenvironmental influences, and interpersonal interactions. Supporting project teammembers through problem solving and removing impediments builds a supportive cultureand leads to a trusting and collaborative environment. Support can also be demonstratedby providing encouragement, showing empathy, and engaging in active listening.\n▶Courage. Recommending a new approach to a problem or a way of working can beintimidating. Likewise, it can be challenging to disagree with a subject matter expert orsomeone with greater authority. However, demonstrating the courage that it takes to makea suggestion, disagree, or try something new enables a culture of experimentation andcommunicates to others that it is safe to be courageous and try new approaches.\n▶Celebrating success. Focusing on project goals, challenges, and issues often sidelines\nthe fact that individual project team members and the project team as a whole are steadilyprogressing toward those goals. Because work takes priority, project team members maydefer recognizing demonstrations of innovation, adaptation, service to others, and learning.However, recognizing such contributions in real time can keep the project team andindividuals motivated.\nPMI Seventh Edition July 202122\nPMBOK® Guide2.2.3 HIGH-PERFORMING PROJECT TEAMS\nOne goal of effective leadership is to create a high-performing project team. There are a number \nof factors that contribute to high-performing project teams. The list below is not comprehensive, but \nit identifies some of the factors associated with high-performing project teams.\n▶Open communication. An environment that fosters open and safe communication\nallows for productive meetings, problem solving, brainstorming, and so forth. It is also the\ncornerstone for other factors, such as shared understanding, trust, and collaboration.\n▶Shared understanding. The purpose for the project and the benefits it will provide are\nheld in common.\n▶Shared ownership. The more ownership of the outcomes that project team members\nfeel, the better they are likely to perform.\n▶Trust. A project team in which its members trust each other is willing to go the extra distanceto deliver success. People are less likely to do the extra work it may take to succeed if they\ndo not trust their project team members, project manager, or the organization.\n▶Collaboration. Project teams that collaborate and work with each other rather than work\nin silos or compete tend to generate more diverse ideas and end up with better outcomes.\n▶Adaptability. Project teams that are able to adapt the way they work to the environment\nand the situation are more effective.\n▶Resilience. When issues or failures occur, high-performing project teams recover quickly.\n▶Empowerment. Project team members who feel empowered to make decisions about the\nway they work perform better than those who are micromanaged.\n▶Recognition. Project teams who are recognized for the work they put in and the\nperformance they achieve are more likely to continue to perform well. Even the simple\nact of showing appreciation reinforces positive team behavior.\nPMI Seventh Edition July 202123\nSection 2 – Project Performance Domains2.2.4 LEADERSHIP SKILLS\nLeadership skills are useful for all project team members whether the project team is operating \nin an environment with a centralized authority or a shared leadership environment. The following \nsections describe some of the traits and activities associated with leadership.\n2.2.4.1 Establishing and Maintaining Vision\nEvery project has a purpose. Understanding that purpose is critical for people to commit \ntheir time and energy in the right direction toward achieving the project purpose. The project vision summarizes the project’s purpose clearly and succinctly. It describes a realistic, attractive view of the future project outcomes.\nIn addition to briefly describing the desired future state, the vision is a powerful motivational \ntool. It is a way to create passion and meaning for a project’s envisioned goal. A common vision helps keep people pulling in the same direction. When immersed in the details of everyday work, a clear understanding of the end goal can help guide local decisions toward the desired project outcome.\nA vision developed collaboratively between project team members and key stakeholders should \nanswer these questions:\n▶What is the project purpose?\n▶What defines successful project work?\n▶How will the future be better when the project outcomes are delivered?\n▶How will the project team know that it is drifting from the vision?\nA good vision is clear, concise, and actionable. It does the following:\n▶Summarizes the project with a powerful phrase or short description,\n▶Describes the best achievable outcome,\n▶Creates a common, cohesive picture in project team members’ minds, and\n▶Inspires passion for the outcome.\nPMI Seventh Edition July 202124\nPMBOK® Guide2.2.4.2 Critical Thinking\nThroughout the various project performance domains, there is a need to recognize bias, \nidentify the root cause of problems, and consider challenging issues, such as ambiguity, complexity, \nand so forth. Critical thinking helps to accomplish these activities. Critical thinking includes disciplined, rational, logical, evidence-based thinking. It requires an open mind and the ability to analyze objectively. Critical thinking, especially when applied to discovery, can include conceptual imagination, insight, and intuition. It can also include reflective thinking and metacognition (thinking about thinking and being aware of one’s awareness).\nProject team members apply critical thinking to:\n▶Research and gather unbiased, well-balanced information;\n▶Recognize, analyze, and resolve problems;\n▶Identify bias, unstated assumptions, and values;\n▶Discern the use of language and the influence on oneself and others;\n▶Analyze data and evidence to evaluate arguments and perspectives;\n▶Observe events to identify patterns and relationships;\n▶Apply inductive, deductive, and abductive reasoning appropriately; and\n▶Identify and articulate false premises, false analogy, emotional appeals, and other faulty logic.\n2.2.4.3 Motivation\nMotivating project team members has two aspects: the first is understanding what motivates \nproject team members to perform, and the second is working with project team members in such \na way that they remain committed to the project and its outcomes.\nMotivation to perform can be intrinsic or extrinsic. Intrinsic motivation comes from inside the \nindividual or is associated with the work. It is associated with finding pleasure in the work itself rather than focusing on rewards. Extrinsic motivation is performing work because of an external reward such as a bonus. Much of the work done on projects is aligned with intrinsic motivation.\nPMI Seventh Edition July 202125\nSection 2 – Project Performance DomainsExamples of intrinsic motivation factors include:\n▶Achievement,\n▶Challenge,\n▶Belief in the work,\n▶Making a difference,\n▶Self-direction and autonomy,\n▶Responsibility,\n▶Personal growth,\n▶Relatedness, and\n▶Being part of a project team.\nPeople are not motivated by just one thing; however, most people have a dominant motivator. \nTo effectively motivate project team members, it is helpful to know each member’s dominant \nmotivator. For example, a project team member who is motivated by challenge will respond well to stretch goals and problems to solve. A project team member who is motivated by relatedness will respond to being part of a dynamic working group. Project team members who thrive on autonomy will perform better if they can establish their own ways of working and even their own work hours and cadence. Therefore, tailoring motivation methods based on individual preferences helps to elicit the best individual and project team performance.\n2.2.4.4 Interpersonal Skills\nInterpersonal skills that are used frequently in projects include emotional intelligence, decision \nmaking, and conflict resolution among others.\n▶Emotional intelligence. Emotional intelligence is the ability to recognize our own emotions\nand those of others. This information is used to guide thinking and behavior. Recognition ofpersonal feelings, empathy for the feelings of others, and the ability to act appropriately arethe cornerstones for effective communication, collaboration, and leadership.\nPMI Seventh Edition July 202126\nPMBOK® GuideSince projects are undertaken by people and for people, emotional intelligence—the ability \nto understand one’s self and effectively sustain working relationships with others—is critical \nin project team environments.\nThere are multiple models for defining and explaining emotional intelligence. They converge \non four key areas:\n▹Self-awareness. Self-awareness is the ability to conduct a realistic self-assessment.\nIt includes understanding our own emotions, goals, motivations, strengths, andweaknesses.\n▹Self-management. Self-management, also known as self-regulation, is the ability to\ncontrol and redirect disruptive feelings and impulses. It is the ability to think beforeacting, suspending snap judgments and impulsive decisions.\n▹Social awareness. Social awareness is about empathy and understanding andconsidering other people’s feelings. This includes the ability to read nonverbal cuesand body language.\n▹Social skill. Social skill is the culmination of the other dimensions of emotional\nintelligence. It is concerned with managing groups of people, such as project teams,building social networks, finding common ground with various stakeholders, andbuilding rapport.\nSelf-awareness and self-management are required to remain calm and productive during \ndifficult project circumstances. Social awareness and social skills allow for better bonds with project team members and project stakeholders. Emotional intelligence is a basis of all forms of leadership.\nFigure 2-5 shows the key points for each of the four aspects of emotional intelligence and how \nthey relate. The aspects having to do with oneself are on the top, and the social aspects are on the bottom. Awareness is on the left side, and management and skill are on the right side.\nPMI Seventh Edition July 202127\nSection 2 – Project Performance DomainsSome models for emotional intelligence include a fifth area for motivation. Motivation in this \ncontext is about understanding what drives and inspires people.\n▶Decision making. Project managers and project teams make many decisions daily. Some\ndecisions may be fairly inconsequential to the project outcome, such as where to go for a\nteam lunch, and others will be very impactful, such as what development approach to use,which tool to use, or what vendor to select.Social Awareness\n•Be empathetic\n•Employ active\nlisteningSocial Skill\n•Establish rapport\n•Build effectiveteams\n•Manage attitudeSelf-Management\n•Think before you act\n•Build trustSelf-Awareness\n•How do you affectthe team?\n•How does the teamaffect you?\nFigure 2-5. Components of Emotional Intelligence\nPMI Seventh Edition July 202128\nPMBOK® GuideDecisions can be made unilaterally. This has the advantage of being fast but is prone \nto error when compared to engaging the wisdom of a diverse set of people. Unilateral \ndecision making can also demotivate people who are impacted by the decision since they may feel their views and concerns were not considered.\nGroup-based decision making has the benefit of tapping into the broad knowledge base \nof a group. Engaging people in the decision-making process also increases buy-in to the outcome, even if the option selected may not have been everyone’s first choice. Generally, inclusion increases commitment to the decision. The downside of group decision making is the time required and interruption to teamwork that can occur when taking people away from their work to be consulted in a decision.\nProject team decision making often follows a diverge/converge pattern. This means \nstakeholders are first engaged to generate a broad set of solution alternatives or approaches. This is often done individually to avoid the effect of senior or charismatic stakeholders unduly influencing other stakeholders. Then, after a broad spectrum of decision alternatives have been generated, the project team converges on a preferred solution.\nThe goal is to make decisions quickly while engaging the diverse knowledge of a group in \nan inclusive and respectful manner. Some decisions may be made in a different direction than some people prefer, but everyone has an opportunity to explain their position. In the end, the deciding authority, whether an individual or a group, makes a decision based on the presented analysis and with consideration for stakeholder expectations.\nCareful selection of which decisions should go for group discussion and voting limits the \ninterruptions and task switching experienced by the project team. Many approaches such as Roman voting, wideband Delphi estimating, and fist of five voting use the diverge/converge pattern. They aim to engage individual input while voting at the same moment, which minimizes groupthink.\nFor those decisions that are beyond the authority of the project team to decide, the project \nteam can investigate alternatives, consider impacts of each alternative, and escalate the decision to someone with the proper authority. This process aligns with the philosophy of “don’t bring me problems, bring me solutions,” while remaining aligned with organizational governance regarding decision-making authority.\nPMI Seventh Edition July 202129\nSection 2 – Project Performance Domains▶Conflict management. Conflict happens on all projects. Projects operate in dynamic\nenvironments and face many mutually exclusive constraints including budget, scope,schedule, and quality, which can lead to conflicts. It is not uncommon to want to avoidconflict, but not all conflict is negative. How conflict is handled can either lead to moreconflict or to better decision making and stronger solutions.\nAddressing conflict before it escalates beyond useful debate leads to better outcomes.\nThe following approaches can help:\n▹Keep communications open and respectful. Because conflict can cause anxiety, it is\nimportant to keep a safe environment to explore the source of the conflict. Without asafe environment, people will stop communicating. Make sure words, tone of voice,\nand body language remain nonthreatening.\n▹Focus on the issues, not the people. Conflict is based on people perceiving situations\ndifferently. It should not be personal. The focus is on resolving the situation,\nnot casting blame.\n▹Focus on the present and future, not the past. Stay focused on the current situation,\nnot past situations. If something similar happened previously, bringing up the past willnot resolve the current situation. In fact, it can serve to intensify the current situationeven more.\n▹Search for alternatives together. Damage incurred from conflict can be repaired by\nlooking for resolutions and alternatives together. It can also create more constructiverelationships. This moves the conflict into more of a problem-solving space wherepeople can work together to generate creative alternatives.\nThere are several models for addressing and resolving conflict. Some of them are discussed \nin Section 4.\nPMI Seventh Edition July 202130\nPMBOK® Guide2.2.5 TAILORING LEADERSHIP STYLES\nAs with all aspects of projects, leadership styles are also tailored to meet the needs of the \nproject, the environment, and the stakeholders. Some of the variables that influence tailoring of \nleadership styles include:\n▶Experience with the type of project. Organizations and project teams with experience\non a specific type of project may be more self-managing and require less leadership. Whena project is new to an organization, the tendency is to provide more oversight and to use\na more directive leadership style.\n▶Maturity of the project team members. Project team members who are mature in the\ntechnical field may need less oversight and direction than project team members who arenew to the organization, the team, or the technical specialty.\n▶Organizational governance structures. Projects operate within a larger organizational\nsystem. There may be the expectation that the organizational leadership style of topmanagement is recognized and reflected in the team’s leadership. The organizationalstructure influences the degree to which authority and accountability are centralized\nor distributed.\n▶Distributed project teams. A global project workforce is more common today than in the\npast. In spite of the best efforts to connect people virtually, it can be challenging to createthe same level of collaboration and relatedness that is achieved when working face to face.To minimize the pitfalls of distributed project teams, technology can be used to increaseand improve communication. Examples include:\n▹Ensure there are collaboration sites for working together.\n▹Have a project team site to keep all relevant project and project team\ninformation available.\n▹Use audio and video capabilities for meetings.\n▹Use technology to maintain ongoing contact, such as messaging and texting.\n▹Build in time to get to know remote project team members.\n▹Have at least one face-to-face meeting to establish relationships.\nPMI Seventh Edition July 202131\nSection 2 – Project Performance Domains2.2.6 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Team Performance Domain emphasizes the skills used by project managers and project \nteam members throughout the project. These skills are woven into all other aspects of the project. \nProject team members are called on to demonstrate leadership qualities and skills throughout the project. Communicating the project vision and benefits to stakeholders while planning and throughout the life cycle is one example. Another example is employing critical thinking, problem solving, and decision making while engaging in project work. Accountability for outcomes is demonstrated throughout the Planning and Measurement Performance Domains.\n2.2.7 CHECKING RESULTS\nTable 2-3 identifies the outcomes from effective application of the Team Performance Domain \non the left and ways of checking them on the right.\nTable 2-3. Checking Outcomes—Team Performance Domain\nOutcome Check\nShared ownership\nA high-performing team\nApplicable leadership and other \ninterpersonal skills are demonstrated by all project team membersAll project team members know the vision and objectives. The project team \nowns the deliverables and outcomes of the project.\nThe project team trusts each other and collaborates. The project team adapts \nto changing situations and is resilient in the face of challenges. The project team feels empo wered and empo wers and recognizes members of the \nproject team.\nProject team members apply critical thinking and interpersonal skills. Project \nteam member leadership styles are appropriate to the project context and environment.\nPMI Seventh Edition July 202132\nPMBOK® Guide2.3 DEVELOPMENT APPROACH AND LIFE CYCLE \nPERFORMANCE DOMAIN\nThis performance domain entails establishing the development approach, delivery cadence, \nand project life cycle needed to optimize project outcomes.DEVELOPMENT APPROACH AND LIFE CYCLE PERFORMANCE DOMAIN\nDevelopment approaches that are consistent with project \ndeliverables.\nA project life cycle consisting of phases that connect the \ndeliver y of business and stakeholder value from the \nbeginning to the end of the project.\nA project life cycle consisting of phases that facilitate the \ndeliver y cadence and development approach required to \nproduce the project deliv erables.The Development \nApproach and Life Cycle Performance Domain \naddresses activities and functions associated with the development approach, cadence, and \nlife cycle phases of the \nproject.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-6. Development Approach and Life Cycle Performance Domain\nPMI Seventh Edition July 202133\nSection 2 – Project Performance Domains2.3.1 DEVELOPMENT, CADENCE, AND LIFE CYCLE RELATIONSHIP\nThe type of project deliverable(s) determines how it can be developed. The type of deliverable(s) \nand the development approach influence the number and cadence for project deliveries. The \ndeliverable approach and the desired delivery cadence determine the project life cycle and its phases.\n2.3.2 DELIVERY CADENCE\nDelivery cadence refers to the timing and frequency of project deliverables. Projects can have \na single delivery, multiple deliveries, or periodic deliveries.\nThe following definitions are relevant to the Development Approach and Life Cycle Performance \nDomain:\nDeliverable. Any unique and verifiable product, result, or capability to perform a service that is \nrequired to be produced to complete a process, phase, or project.\nDevelopment Approach. A method used to create and evolve the product, service, or result during \nthe project life cycle, such as a predictive, iterative, incremental, adaptive, or hybrid method.\nCadence. A rhythm of activities conducted throughout the project.Project Phase. A collection of logically related project activities that culminates in the completion \nof one or more deliverables.\nProject Life Cycle. The series of phases that a project passes through from its start to \nits completion.\n \nPMI Seventh Edition July 202134\nPMBOK® Guide▶Single delivery. Projects that have a single delivery deliver at the end of the project. For\nexample, a process reengineering project may not have any deliveries until near the end of\nthe project when the new process is rolled out.\n▶Multiple deliveries. Some projects have multiple deliveries. A project may have multiple\ncomponents that are delivered at different times throughout the project. A project todevelop a new drug may have multiple deliveries, such as preclinical submissions, Phase 1trial results, Phase 2 trial results, Phase 3 trial results, registration, and then launch. In thisexample, the deliveries are sequential. Some projects have deliveries that are developedseparately rather than sequentially, such as a project to update building security. Deliveriesmay include physical barriers to entry, new badges, new key code pads, and so forth. Eachof these is a separate delivery, but they do not need to come in a specific order. All of thedeliveries are concluded before the project is considered to be completed.\n▶Periodic deliveries. Periodic deliveries are like multiple deliveries, but they are on a\nfixed delivery schedule, such as monthly or bimonthly. A new software application mayhave internal deliveries every two weeks, and then periodically release the deliveries\ninto the market.\nAnother delivery option is called continuous delivery. Continuous delivery is the practice of \ndelivering feature increments immediately to customers, often through the use of small batches of work and automation technology. Continuous delivery can be used for digital products. From the product management perspective, the emphasis is on delivering benefits and value throughout the product life cycle. Similar to a project, there are aspects that are development oriented. However, similar to a program, there can be many development cycles as well as maintenance activities. This type of undertaking works better with project teams that are stable and remain intact. Because the project teams are focused on one product, they can apply learning about the product, the stakeholders, and the market. This allows the team to respond to market trends and stay focused on value delivery. This practice is included in several approaches such as DevOps, #noprojects and Continuous Digital, for example. \nPMI Seventh Edition July 202135\nSection 2 – Project Performance Domains2.3.3 DEVELOPMENT APPROACHES\nA development approach is the means used to create and evolve the product, service, or result \nduring the project life cycle. There are different development approaches, and different industries \nmay use different terms to refer to development approaches. Three commonly used approaches are predictive, hybrid, and adaptive. As shown in Figure 2-7, these approaches are often viewed as a spectrum, from the predictive approach on one end of the spectrum, to the adaptive on the other end.\n▶Predictive approach. A predictive approach is useful when the project and product\nrequirements can be defined, collected, and analyzed at the start of the project. This mayalso be referred to as a waterfall approach. This approach may also be used when thereis a significant investment involved and a high level of risk that may require frequentreviews, change control mechanisms, and replanning between development phases. Thescope, schedule, cost, resource needs, and risks can be well defined in the early phasesof the project life cycle, and they are relatively stable. This development approach allowsthe project team to reduce the level of uncertainty early in the project and do much ofthe planning up front. Predictive approaches may use proof-of-concept developments toexplore options, but the majority of the project work follows the plans that were developednear the start of the project. Many times, projects that use this approach have templatesfrom previous, similar projects.Development Approaches\nPredictive Hybrid Adaptive \nIncreasingly Iterative and Incremental\nFigure 2-7. Development Approaches\nPMI Seventh Edition July 202136\nPMBOK® Guide▶Hybrid approach. A hybrid development approach is a combination of adaptive and\npredictive approaches. This means that some elements from a predictive approach are\nused and some from an adaptive approach are used. This development approach is usefulwhen there is uncertainty or risk around the requirements. Hybrid is also useful whendeliverables can be modularized, or when there are deliverables that can be developed\nby different project teams. A hybrid approach is more adaptive than a predictive approach,but less so than a purely adaptive approach.\nHybrid approaches often use an iterative or incremental development approach. An\niterative approach is useful for clarifying requirements and investigating various options.\nAn iterative approach may produce sufficient capability to be considered acceptable priorto the final iteration. An incremental approach is used to produce a deliverable throughouta series of iterations. Each iteration adds functionality within a predetermined time frame\n(a timebox). The deliverable contains the capability to be considered as completed onlyafter the final iteration.\nThe differences and interactions between iterative and incremental development are\nshown in Figure 2-8.\nAn example of a hybrid approach could be using an adaptive approach to develop a\nproduct that has significant uncertainty associated with the requirements. However, thedeployment of the product can be done using a predictive approach. Another example isa project with two main deliverables where one deliverable is developed using an adaptiveapproach and the other using a predictive approach.\nA project to develop a new community center might use a predictive approach for the \nconstruction of the grounds and facilities. The scope, schedule, cost, and resources would be determined up front, and changes would likely be minimal. The construction process would follow the plans and blueprints. \nPMI Seventh Edition July 202137\nSection 2 – Project Performance DomainsIterative\nTry different\nideas to\nclarify scope,approach, and\nrequirements\nIncremental\nProgressivelydevel op features\nand functionsFeedback and adapt Feedback and adapt Feedback and adaptVoice\nTranscription\nFeedback and adapt Feedback and adapt Feedback and adapt\nCustomer :\nIneed a \nmethod to capture ideas that mightchange.\nFigure 2-8. Iterative and Incremental Development\nPMI Seventh Edition July 202138\nPMBOK® Guide▶Adaptive approach. Adaptive approaches are useful when requirements are subject to\na high level of uncertainty and volatility and are likely to change throughout the project. A\nclear vision is established at the start of the project, and the initial known requirements arerefined, detailed, changed, or replaced in accordance with user feedback, the environment,or unexpected events.\nAdaptive approaches use iterative and incremental approaches. However, on the far side\nof the adaptive methods, the iterations tend to get shorter and the product is more likelyto evolve based on stakeholder feedback.\nWhile agility is a wide mindset that is broader than a development framework, agile\napproaches can be considered adaptive. Some agile approaches entail iterations that are1 to 2 weeks in duration with a demonstration of the accomplishments at the end of eachiteration. The project team is very engaged with the planning for each iteration. The projectteam will determine the scope they can achieve based on a prioritized backlog, estimate thework involved, and work collaboratively throughout the iteration to develop the scope.\nAs part of the community center, a project to establish senior services could be developed and \ndeployed iteratively. For example, the first iteration could be a Meals on Wheels program. This could be followed by a transportation service, then group outings and events, caregiver relief, adult day care, and so forth. Each service would be complete on its own and could be deployed when it was available. Each additional service would improve and increase the senior services for the community. \nA project to establish training for community action patrol volunteers could use an incremental \napproach. The training, comprised of basic training, logistics training, and patrol training, can be developed by different people. It can be developed at the same time in modules, or one module can be developed, feedback gathered, and then subsequent modules can be developed. However, the community action patrol training program will only be complete after all the modules are developed, integrated, and deployed.\nPMI Seventh Edition July 202139\nSection 2 – Project Performance Domains2.3.4 CONSIDERATIONS FOR SELECTING A DEVELOPMENT APPROACH\nThere are several factors that influence the selection of a development approach. They can \nbe divided into categories of the product, service, or result; the project; and the organization. The \nfollowing subsections describe the variables associated with each category.\n2.3.4.1 Product, Service, or Result\nThere are many variables associated with the nature of the product, service, or result that \ninfluence the development approach. The following list outlines some of the variables to consider when selecting the development approach.\n▶Degree of innovation. Deliverables where the scope and requirements are well\nunderstood, that the project team has worked with before, and that allow for planningup front are well suited to a predictive approach. Deliverables that have a high degree ofinnovation or where the project team does not have experience are better suited to a moreadaptive approach.\n▶Requirements certainty. When the requirements are well known and easy to define, a\npredictive approach fits well. When requirements are uncertain, volatile, or complex and areexpected to evolve throughout the project, a more adaptive approach may be a better fit.\nThe community center will need a website so community members can access information \nfrom their home computer, phone, or tablet. The high-level requirements, design, and page layouts can be defined up front. An initial set of information can be deployed on the website. User feedback, new services, and internal stakeholder needs would provide content for a backlog. The backlog information would be prioritized, and the web team would develop and deploy new content. As new requirements and new scope emerge, the estimates for the work would be developed, the work would be done, and once tested, it would be demonstrated for stakeholders. If approved, the work would be deployed to the website. \nPMI Seventh Edition July 202140\nPMBOK® Guide▶Scope stability. If the scope of the deliverable is stable and not likely to change, a predictive\napproach is useful. If the scope is expected to have many changes, an approach that is closer\nto the adaptive side of the spectrum can be useful.\n▶Ease of change. Related to the requirements certainty and the scope stability, if the natureof the deliverable makes it difficult to manage and incorporate changes, then a predictiveapproach is best. Deliverables that can adapt easily to change can use an approach that ismore adaptive.\n▶Delivery options. As described in Section 2.3.2 on Delivery Cadence, the nature of the\ndeliverable and whether it can be delivered in components influences the developmentapproach. Products, services, or results that can be developed and/or delivered in piecesare aligned with incremental, iterative, or adaptive approaches. Some large projectsmay be planned using a predictive approach, but there may be some pieces that can bedeveloped and delivered incrementally.\n▶Risk. Products that are inherently high risk require analysis before choosing thedevelopment approach. Some high-risk products may require significant up-front planningand rigorous processes to reduce threats. Other products can reduce risk by building themmodularly and adapting the design and development based on learning to take advantageof emerging opportunities or reduce the exposure to threats.\n▶Safety requirements. Products that have rigorous safety requirements often use a\npredictive approach as there is a need for significant up-front planning to ensure that allthe safety requirements are identified, planned for, created, integrated, and tested.\n▶Regulations. Environments that have significant regulatory oversight may need to use a\npredictive approach due to the required process, documentation, and demonstration needs.\n2.3.4.2 Project\nProject variables that influence the development approach are centered around stakeholders, \nschedule constraints, and funding availability.\n▶Stakeholders. Projects that use adaptive methods require significant stakeholder\ninvolvement throughout the process. Certain stakeholders, such as the product owner,\nplay a substantial role in establishing and prioritizing work.\nPMI Seventh Edition July 202141\nSection 2 – Project Performance Domains▶Schedule constraints. If there is a need to deliver something early, even if it is not\na finished product, an iterative or adaptive approach is beneficial.\n▶Funding availability. Projects that work in an environment of funding uncertainty can\nbenefit from an adaptive or iterative approach. A minimum viable product can be released\nwith less investment than an elaborate product. This allows for market testing or marketcapture with minimum investment. Further investments can be made based on the marketresponse to the product or service.\n2.3.4.3 Organization\nOrganizational variables such as the structure, culture, capability, project team size, and \nlocation influence the development approach.\n▶Organizational structure. An organizational structure that has many levels, a rigid\nreporting structure, and substantial bureaucracy frequently uses a predictive approach.Projects that use adaptive methods tend to have a flat structure and may operate with self-organizing project teams.\n▶Culture. A predictive approach fits better in an organization with a culture of managingand directing, where the work is planned out and progress is measured against baselines.Adaptive approaches fit better within an organization that emphasizes project team self-management.\n▶Organizational capability. Transitioning from predictive development approaches to\nadaptive approaches and then to using agile methods is more than just stating that theorganization will now be agile. It entails shifting the mindset starting at the executive levelthroughout the organization. Organizational policies, ways of working, reporting structure,and attitude should all be aligned in order to employ adaptive methods successfully.\n▶Project team size and location. Adaptive approaches, especially agile methods, often\nwork better with project teams of 7 ± 2. Adaptive approaches also favor project teams thatare located in the same physical space. Large project teams and project teams that aremostly virtual may do better by using an approach that is closer to the predictive side of thespectrum. However, there are approaches that seek to scale up the adaptive approaches towork with large and dispersed project teams.\nPMI Seventh Edition July 202142\nPMBOK® Guide2.3.5 LIFE CYCLE AND PHASE DEFINITIONS\nThe type and number of project phases in a project life cycle depend upon many variables, \nchief among them the delivery cadence and the development approach, as described previously. \nExamples of phases in a life cycle include:\n▶Feasibility. This phase determines if the business case is valid and if the organization has\nthe capability to deliver the intended outcome.\n▶Design. Planning and analysis lead to the design of the project deliverable that will bedeveloped.\n▶Build. Construction of the deliverable with integrated quality assurance activities isconducted.\n▶Test. Final quality review and inspection of deliverables are carried out before transition,go-live, or acceptance by the customer.\n▶Deploy. Project deliverables are put into use and transitional activities required forsustainment, benefits realization, and organizational change management are completed.\n▶Close. The project is closed, project knowledge and artifacts are archived, project team\nmembers are released, and contracts are closed.\nProject phases often have a phase gate review (also known as stage gate) to check that the \ndesired outcomes or exit criteria for the phase have been achieved before proceeding to the next phase. Exit criteria may tie to acceptance criteria for deliverables, contractual obligations, meeting specific performance targets, or other tangible measures.\nPMI Seventh Edition July 202143\nSection 2 – Project Performance DomainsFigure 2-9 shows a life cycle where one phase finishes before the next one begins. This type of \nlife cycle would fit well with a predictive development approach since each phase is only performed \nonce, and each phase focuses on a particular type of work. However, there are situations, such as adding scope, a change in requirements, or a change in the market that cause phases to be repeated.\nSample Predictive Life Cycle\nFeasibility\nDesign\nBuild\nTest\nDeploy\nClose\nFigure 2-9. Sample Predictive Life Cycle\nPMI Seventh Edition July 202144\nPMBOK® GuideFigure 2-10 shows a life cycle with an incremental development approach. There are three \niterations of plan, design, and build shown in this example. Each subsequent build would add \nfunctionality to the initial build.\nSample Life Cycle with an Incremental Development Approach\nConcept\nPlan\nDesign\nBuildPlan\nDesign\nBuildPlan\nDesign\nBuild\nClose\nFigure 2-10. Life Cycle with an Incremental Development Approach\nPMI Seventh Edition July 202145\nSection 2 – Project Performance DomainsFigure 2-11 shows a life cycle using an adaptive development approach. At the end of each \niteration (sometimes known as a sprint ), the customer reviews a functional deliverable. At the review, \nthe key stakeholders provide feedback, and the project team updates the project backlog of features \nand functions to prioritize for the next iteration.\nThis approach can be modified for use in continuous delivery situations, as described in \nSection 2.3.2 on Delivery Cadence.\nSeveral adaptive methodologies, including agile, use flow-based scheduling, which does not use \na life cycle or phases. One goal is to optimize the flow of deliveries based on resource capacity, materials, and other inputs. Another goal is to minimize time and resource waste and optimize the efficiency of processes and the throughput of deliverables. Projects that use these practices and methods usually adopt them from the Kanban scheduling system used in lean and just-in-time scheduling approaches. \nLife Cycle Using Adaptive Development Approach\nIteration 1 Iteration 2 Iteration 3\nFeedbac k\nBacklog\nPrioritizationFeedbac k\nBacklog\nPrioritizationDefine Project\nand\nProduct V ision\nFigure 2-11. Life Cycle with Adaptive Development Approach\nPMI Seventh Edition July 202146\nPMBOK® Guide2.3.6 ALIGNING OF DELIVERY CADENCE, DEVELOPMENT APPROACH, \nAND LIFE CYCLE\nThe community center examples described in Section 2.3.3 will be revisited to demonstrate \nhow the delivery cadence, development approach, and life cycle fit together. In this example, there \nare four products and services: the building, the community action patrol (CAP) training, the senior services, and the website. Table 2-4 describes the delivery cadence and the development approach.\nBased on this information, a potential life cycle might be:\n▶Start Up. Entry criteria for this phase are that the business case has been approved andthe project charter has been authorized. In this phase, the high-level roadmap is developed,initial funding requirements are established, project team and resource requirements aredefined, a milestone schedule is created, and planning for a procurement strategy is defined.These deliverables should be complete prior to exiting the start-up phase. Exit criteria will bereviewed at an origination phase gate review.\n▶Plan. In this phase, the high-level information for the building is decomposed into detailedplans. A detailed design document for the CAP training is completed. An analysis of thesenior services offering is completed along with a gap analysis. The initial wireframe forthe website is created. These deliverables should be complete prior to exiting the planningphase. Exit criteria will be reviewed at a planning phase gate review.Table 2-4. Delivery Cadence and Development Approach\nDeliverable Development Approach Deliver y Cadence\nBuilding Single delive ry Predictive\nSenior services Multiple deliveries Iterative\nWebsite Periodic deliveries Adaptive\nCommunity action patrol training Multiple deliveries Incremental\nPMI Seventh Edition July 202147\nSection 2 – Project Performance Domains▶Development. This phase will overlap with the test and deploy phases since the\ndeliverables have different delivery cadences and different approaches. The website will\nhave early deliveries to inform the public of the progress for the community center. Somesenior services and the CAP training may begin prior to the opening of the communitycenter. Each deliverable may have a separate review prior to entering the testing phase.\n▶Test. This phase will overlap with the development and deploy phases. The type of testwill depend on the deliverable. This phase includes inspections for the building, a betadelivery of the CAP courses, small-scale trials for the senior services, and operating in atest environment for each release for the website. Each deliverable will go through theapplicable testing prior to moving to the deploy phase.\n▶Deploy. This phase will overlap with the development and test phases. The first deploymentof the website may be somewhat early in the project. Activities in this phase will iterate asmore deliverables become available. The final deployment for the project will be the openingof the community center. Ongoing updates to the website and the senior services will bepart of operations once the community center is open.\n▶Close. This phase takes place periodically as deliverables are completed. When the initial\nwebsite has been deployed, project personnel (including contractors) will be released andretrospectives or lessons learned for each deliverable will be completed. When the entireproject is done, information from the various phase gate reviews and an overall evaluationof project performance compared to baselines will be conducted. Prior to final closeout,the project charter and the business case will be reviewed to determine if the deliverablesachieved the intended benefits and value.\nPMI Seventh Edition July 202148\nPMBOK® GuideFigure 2-12 shows a possible life cycle for the community center project. The start-up and \nplanning phases are sequential. The development, test, and deploy phases overlap because \nthe different deliverables will be developed, tested, and deployed at different times, and some deliverables will have multiple deliveries. The development phase is shown in more detail to demonstrate different timing and delivery cadence. The test phase cadence would follow the development phase cadence. The deliveries are shown in the deploy phase.\nCommunity Center Life Cycle\nStart Up\nPlan\nDevelopment\nDeployTest\nWebsite Development and Deliveries\nCommunity Center ConstructionSenior Service IterationsOrigination\nReview\nPlanning\nReview\nWebsite\nRelease 1Senior\nOfferingsCommunity Action\nPatrol Training LaunchCommunity\nCenter Open\nClose\nKEY:\n Milestone\n Deliv eriesSenior Service\nRelease 1Senior Service\nRelease 2Senior Service\nRelease 3Senior Service\nRelease 4\nCommunity Action Pa trol Tr aining Increments\nModule 1:\nBasic TrainingModule 2:\nLogistics Tr ainingModule 3:\nPatrol TrainingIntegration\nFigure 2-12. Community Center Life Cycle\nPMI Seventh Edition July 202149\nSection 2 – Project Performance Domains2.3.7 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Development Approach and Life Cycle Performance Domain interacts with the \nStakeholder, Planning, Uncertainty, Delivery, Project Work, and Team Performance Domains. The \nlife cycle selected impacts the way in which planning is undertaken. Predictive life cycles undertake the bulk of the planning up front and then continue to replan by using rolling wave planning and progressive elaboration. Plans are also updated as threats and opportunities materialize.\nThe development approach and delivery cadence is one way to reduce uncertainty on projects. \nA deliverable that has a lot of risk associated with meeting regulatory requirements may choose a predictive approach to build in extra testing, documentation, and robust processes and procedures. A deliverable that has a lot of risk associated with stakeholder acceptance may choose an iterative approach and release a minimum viable product to the market to get feedback before developing additional features and functions.\nWhat’s in a Name? Not all project practitioners differentiate between the development \napproach and the life cycle. Some practitioners will say a project follows an agile life cycle when they are actually talking about the development approach. Some practitioners refer to predictive approaches as waterfall. Adaptive development approaches may also be known as evolutionary approaches.\nBecause project management is evolving, the language used continues to evolve. The best \nway to understand what a person is referring to is to determine how they are developing deliverables and ask them the names of the phases in the life cycle. This can help frame the project and understand how people are using terms. \nPMI Seventh Edition July 202150\nPMBOK® GuideThe Development Approach and Life Cycle Performance Domain has significant overlap with \nthe Delivery Performance Domain when considering delivery cadence and development approach. \nThe delivery cadence is one of the main drivers of delivering value in alignment with the business case and the benefits realization plans. Eliciting the product requirements and meeting the quality requirements as described in the Delivery Performance Domain have a significant influence on the development approach.\nThe Team Performance Domain and the Development Approach and Life Cycle Performance \nDomain interact when it comes to project team capabilities and project team leadership skills. The project team’s way of working and the project manager’s style vary significantly depending on the development approach. A predictive approach usually entails more emphasis on up-front planning, measurement, and control. On the other end of the spectrum, an adaptive approach, especially when using agile methods, requires more of a servant leadership style and may have self-managing project teams.\n2.3.8 MEASURING OUTCOMES\nTable 2-5 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-5. Checking Outcomes—Development Approach and Life Cycle Performance Domain\nOutcome Check\nDevelopment approaches that are \nconsistent with project deliverables\nA project life cycle consisting of \nphases that connect the delivery of business and stakeholder value from the beginning to the end of the project\nProject life cycle phases that \nfacilitate the delivery cadence and development approach required to produce the project deliverablesThe development approach for deliverables (predictive, hybrid, or adaptive) \nreflects the product variables and is appropriate given the project and organizational variables.\nProject work from launch to close is represented in the project phases. \nPhases include appropriate exit criteria.\nThe cadence for development, testing , and deploying is represented in the life \ncycle phases. Projects with multiple deliverables that ha ve different delivery \ncadences and development methods are represented by overlapping phases \nor phase repetitions, as necessar y.\nPMI Seventh Edition July 202151\nSection 2 – Project Performance Domains2.4 PLANNING PERFORMANCE DOMAIN\nPlanning organizes, elaborates, and coordinates project work throughout the project.\nPLANNING PERFORMANCE DOMAIN\nThe project progresses in an orga nized, coordinated, and \ndeliberate manner .\nThere is a holistic approach to delivering the project \noutcomes.\nEvolving inform ation is elaborated to produce the \ndeliverables and outcomes for wh ich the project was \nundertaken.Time spent planning is appropriate for the situation.\nPlanning inform ation is sufficient to manage stakeholder \nexpectations.There is a process for the adaptation of plans throughout \nthe project based on emerging and changing needs or \nconditions.The Planning P erformance \nDomain addresses \nactivities and functions associated with the initial, \nongoing , and evolving \norganization and coordination necessar y \nfor delivering project deliverables and outcomes.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-13. Planning Performance Domain\nPMI Seventh Edition July 202152\nPMBOK® Guide2.4.1 PLANNING OVERVIEW\nThe purpose of planning is to proactively develop an approach to create the project \ndeliverables. The project deliverables drive the outcomes the project was undertaken to achieve. \nHigh-level planning may begin prior to project authorization. The project team progressively elaborates initial project documents, such as a vision statement, project charter, business case, \nor similar documents to identify or define a coordinated path to achieve the desired outcomes.\nThe following definitions are relevant to the Planning Performance Domain:\nEstimate. A quantitative assessment of the likely amount or outcome of a variable, such as project costs, resources, effort, or durations.\nAccuracy. Within the quality management system, accuracy is an assessment of correctness.\nPrecision. Within the quality management system, precision is an assessment of exactness.\nCrashing. A method used to shorten the schedule duration for the least incremental cost \nby adding resources.Fast Tracking. A schedule compression method in which activities or phases normally done \nin sequence are performed in parallel for at least a portion of their duration.Budget.\n The approved estimate for the project or any work breakdown structure (WBS) \ncomponent or any schedule activity. \nPMI Seventh Edition July 202153\nSection 2 – Project Performance DomainsThe amount of time spent planning, both up front and throughout the project, should be \ndetermined by the circumstances. It is inefficient to spend more time planning than is needed. \nTherefore, the information gained from planning should be sufficient to move forward in an appropriate manner but not more detailed than necessary. Project teams use planning artifacts to confirm stakeholder expectations and provide stakeholders with the information they need to make decisions, take action, and maintain alignment between the project and stakeholders.\n2.4.2 PLANNING VARIABLES\nBecause each project is unique, the amount, timing, and frequency of planning varies. Variables \nthat influence how project planning is conducted include, but are not limited to:\n▶Development approach. The development approach can influence how, how much, and\nwhen planning is conducted. Examples include:\n▹A specific phase for planning or organizing early in the life cycle. In these situations, much\nof the planning is performed up front. The initial plans are progressively elaborated withmore detail throughout the project, but there is little change to the original scope.\n▹An approach with high-level planning up front, followed by a design phase where\nprototyping is used. After the project team and stakeholders agree to the design,\nthe project team completes more detailed planning.\n▹Adaptive approaches where the project team conducts iterations. Some planning\noccurs up front to establish release plans and further planning occurs at thebeginning of each iteration.\nIt is becoming more common for initial planning to consider social and environmental impacts \nin addition to the financial impacts (sometimes referred to as the triple bottom line). This may take the form of a product life cycle assessment which evaluates the potential environmental impacts of a product, process, or system. The product life cycle assessment informs the design of products and processes. It considers the impacts of materials and processes with regards to sustainability, toxicity, and the environment. \nPMI Seventh Edition July 202154\nPMBOK® Guide▶Project deliverables. Often the project deliverables necessitate planning in a specific way.\nConstruction projects require significant up-front planning to account for design, approvals,\nmaterials purchasing, logistics, and delivery. Product development or high-technologyprojects may use continuous and adaptive planning to allow for evolution and changesbased on stakeholder feedback and technological advances.\n▶Organizational requirements. Organizational governance, policies, procedures, processes,\nand culture may require project managers to produce specific planning artifacts.\n▶Market conditions. Product development projects can take place in a highly competitive\nenvironment. In these situations, project teams can undertake a minimum amount ofup-front planning as the emphasis is on speed to market. The cost of delay that extensiveplanning entails exceeds the risk of potential rework.\n▶Legal or regulatory restrictions. Regulatory agencies or statutes may require specific\nplanning documents before granting an authorization to proceed or to secure approval torelease the project deliverable into the market.\n2.4.2.1 Delivery\nPlanning begins with understanding the business case, stakeholder requirements, and the \nproject and product scope. Product scope is the features and functions that characterize a product, \nservice, or result. Project scope is the work performed to deliver a product, service, or result with the \nspecified features and functions.\nPredictive planning approaches start with the high-level project deliverables up front and \ndecompose them into more detail. This approach can employ a scope statement and/or a work \nbreakdown structure (WBS) to decompose the scope into lower levels of detail.\nProjects that use iterative or incremental approaches can have high-level themes or epics \nthat are decomposed into features, which are then further decomposed into user stories and \nother backlog items. Work that is unique, significant, risky, or novel can be prioritized to reduce the \nuncertainty associated with project scope at the start of the project before signi ficant investment has \ntaken place. Project teams plan routine work based on the concept of last responsible moment. This \napproach defers a decision to allow the project team to consider multiple options until the cost of \nfurther delay would exceed the benefit. It reduces waste by not expending time in developing plans \nfor work that may change or may not be needed.\nPMI Seventh Edition July 202155\nSection 2 – Project Performance Domains2.4.2.2 Estimating\nPlanning entails developing estimates for work effort, duration, costs, people, and physical \nresources. Estimates are a quantitative assessment of the likely amount or outcome of a variable, \nsuch as project costs, resources, effort, or duration. As the project evolves, the estimates can change based on current information and circumstances. The project’s phase in the life cycle impacts four aspects associated with estimating:\n▶Range. Estimates tend to have a broad range at the start of the project when there is notmuch information about the project and product scope, stakeholders, requirements, risks,and other information. Figure 2-14 shows a range of -25 to +75% at the start of exploring\na project opportunity. Projects that are well along in their life cycle may have an estimatingrange of -5 to +10%.\n▶Accuracy. Accuracy refers to the correctness of an estimate. Accuracy is linked to range\nin that the lower the accuracy, the larger the potential range of values. An estimate\nat the start of the project will have less accuracy than one that is developed halfwaythrough the project.\n▶Precision. Precision is different from accuracy (see Figure 2-15). Precision refers to the\ndegree of exactness associated with the estimate. For example, an estimate of 2 days ismore precise than “sometime this week.” The precision of estimates should be compatiblewith the desired accuracy.\n▶Confidence. Confidence increases with experience. Experience working on a previous,similar project can help with the level of confidence required. For new and evolvingtechnology components, the confidence in estimates is expected to be low.\nPMI Seventh Edition July 202156\nPMBOK® GuideTimeRange75%\n50%25%\n0%\n-25%\nFigure 2-14. Estimate Range Decreases over Time\n6\n789\n9\n8\n7\n610\n6 789 10 9 10 87 6\n10\nFigure 2-15. Low Accuracy, High Precision\nPMI Seventh Edition July 202157\nSection 2 – Project Performance DomainsThere are different ways of presenting and/or adjusting estimates:\n▶Deterministic and probabilistic estimating. Deterministic estimates, also known as\npoint estimates, present a single number or amount, such as 36 months.\nProbabilistic estimates include a range of estimates along with the associated probabilities\nwithin the range. They can be developed manually by (a) developing a weighted averagebased on multiple likely outcomes, or (b) running a simulation to develop a probabilityanalysis of a particular outcome, usually in terms of cost or schedule.\n▶Absolute and relative estimating. Absolute estimates are specific information and use\nactual numbers. An absolute estimate for effort might be shown as 120 hours of work. Oneperson working full time could accomplish the work in 15 workdays, assuming 8 hours ofproductivity per workday.\nWhile absolute estimates are specific, relative estimates are shown in comparison to other\nestimates. Relative estimates only have meaning within a given context.\nA probabilistic estimate derived from a computer simulation has three associated factors:\n1.A point estimate with a range such as 36 months +3 months/-1 month.\n2.A statement of confidence such as a 95% confidence level.\n3.A probability distribution describing the dispersion of the data within and around the given range.\nTogether these three items form a complete metric describing a probabilistic estimate. \nPMI Seventh Edition July 202158\nPMBOK® Guide▶Flow-based estimating. Flow-based estimates are developed by determining the cycle\ntime and throughput. Cycle time is the total elapsed time it takes one unit to get through a\nprocess. Throughput is the number of items that can complete a process in a given amountof time. These two numbers can provide an estimate to complete a specified quantity of work.\n▶Adjusting estimates for uncertainty. Estimates are inherently uncertain. Uncertainty\nby definition is associated with risk. Key deliverable dates or budget estimates may\nbe adjusted, or contingency time or funds may be added, based on the outcomes\nof a simulation conducted to establish the range of uncertainty for these parameters.\n2.4.2.3 Schedules\nA schedule is a model for executing the project’s activities, including durations, dependencies, \nand other planning information. Schedule planning can use predictive or adaptive approaches.\nPredictive approaches follow a stepwise process as follows:\n▶Step 1. Decompose the project scope into specific activities.\n▶Step 2. Sequence related activities.\n▶Step 3. Estimate the effort, duration, people, and physical resources required to completethe activities.\n▶Step 4. Allocate people and resources to the activities based on availability.\n▶Step 5. Adjust the sequence, estimates, and resources until an agreed-upon schedule\nis achieved.\nOne form of relative estimating is planning poker. In planning poker, the project team performing \nthe work comes to a consensus on the effort that is necessary to deliver value. Using story \npoints to estimate work could result in 64 story points being assigned for that work. New work \nis estimated using the amount of estimated work compared to points assigned to previous work. Therefore, new work effort is compared to previously known work effort. \nPMI Seventh Edition July 202159\nSection 2 – Project Performance DomainsIf the schedule model does not meet the initial desired end date, schedule compression \nmethods are applied. Crashing is a schedule compression method that seeks to shorten the duration \nfor the least incremental cost. Crashing can include adding people to activities, working overtime, or paying to expedite deliveries.\nFast tracking is a schedule compression method in which activities or tasks that are normally \ndone in sequence are performed in parallel, at least for a portion of their duration. Fast tracking often entails applying leads and lags along a network path. A lead is where the work of a successor \nactivity is accelerated, such as starting a successor activity before the predecessor has finished. In Figure 2-16, there is a lead between the finish of Task 2 and the start of Task 4.\nA lag is a delay of a successor activity. An example of using a lag would be changing the type \nof relationship between activities, and then applying a lag. For example, rather than waiting for an activity to finish before the next one starts (a finish-to-start relationship), change the relationship to have the end of the successor activity finish a determined amount of time after the end of the predecessor (a finish-to-finish relationship). The network logic would show a lag between the finish of the predecessor and the finish of the successor activities. There is an example of a finish-to-finish relationship with a lag in Figure 2-16 between Task 8 and Task 7. A lag can also be applied between the start of one activity and the start of another activity (a start-to-start relationship).\nPMI Seventh Edition July 202160\nPMBOK® GuideWhen compressing the schedule, it is important to determine the nature of the dependencies \nbetween activities. Some activities cannot be fast tracked due to the nature of the work—others can. \nThe four types of dependencies are:\n▶Mandatory dependency. A relationship that is contractually required or inherent in thenature of the work. This type of dependency usually cannot be modified.\n▶Discretionary dependency. A relationship that is based on best practices or project\npreferences. This type of dependency may be modifiable.\n▶External dependency. A relationship between project activities and non-project activities.\nThis type of dependency usually cannot be modified.\n▶Internal dependency. A relationship between one or more project activities. This type\nof dependency may be modifiable.Activity 1\nActivity 2Activity 3Activity 4Activity 5Activity 6Activity 7Activity 8\nEndMy Project\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\nFS–1\nFF+1\nFigure 2-16. Fast Tracking Examples\nPMI Seventh Edition July 202161\nSection 2 – Project Performance DomainsAdaptive schedule planning uses incremental planning. One such scheduling approach is \nbased on iterations and releases (see Figure 2-17). A high-level release plan is developed that \nindicates the basic features and functionality to be included in each release. Within each release, there will be two or more iterations. Each iteration adds business and/or stakeholder value. Value may include features, risk reduction, experimentation, or other ways of delivering or protecting value. The planning for the work in future releases is kept at a high level so the project team does not engage in planning that could change based on feedback from earlier releases.\nRelease 3 Release 2 Release 1\nRelease Plan\nIteration PlanIteration 0 Iteration 1 Iteration 2 Iteration 3 Iteration n\nFeature D\n(User Story 5)Feature C\n(User Story 4)Feature B\n(User Story 3)Feature A\n(User Story 2)Feature A\n(User Story 1)\n5 Hours\n8 Hours4 Hours\n12 HoursTask A\nTask B\nTask C\nTask DProduct vision drives\nproduct roadmap\nProduct roadmap\ndrives release plans\nRelease plan\nestablishes the iterations\nIteration plans\nschedule featuredevelopment\nTasks (estimated in\nhours) created todeliver user storiesPrioritized features\ndelivered by user\nstories (estimatedin story points)\nFigure 2-17. Release and Iteration Plan\nPMI Seventh Edition July 202162\nPMBOK® GuideAdaptive approaches often use timeboxes. The work in each timebox is based on a prioritized \nbacklog. The project team determines the amount of work they can do in each timebox, estimates \nthe work, and self-manages to accomplish the work. At the end of the timebox, the project team \ndemonstrates the work completed. At that point, the backlog and estimates of work available to be \ndone may be updated or reprioritized for the next timebox.\nDetermining the schedule involves using the information in the estimating section to determine \noverall duration and effort estimates. Regardless of the scheduling approach used, the relationship \nbetween effort and duration needs to be addressed. Some activities are effort driven, which means \nthat the duration can be reduced by adding people. This approach can work up to a point, after \nwhich adding people might actually extend duration. Framing a building is e ffort driven. If more \npeople are added, the duration can be reduced. Some activities are fixed duration, such as running \na test or conducting employee training.\nThe nature of the work determines if and how much the duration c an be reduced by adding \npeople before increasing the time due to coordination, communicatio n, conflict, and potential rework. \nThere is no fixed formula to determine the reduction in duration due to the addition of people.\n2.4.2.4 Budget\nThe project budget evolves from the agreed estimates for the project. The information in \nSection 2.4.2.2 on Estimating is applied to project costs to develop cost estimates. Cost estimates \nare then aggregated to develop the cost baseline. The cost baseline is often allocated across the \nproject schedule to reflect when the costs will be incurred. This practice allows project managers to \nbalance the funds approved in a specific budget period with the scheduled work. If there are funding \nlimitations for a budget period, the work may need to be rescheduled to meet those limitations.\nThe project budget should include contingency reserve funds to allow for uncertainty. \nContingency reserves are set aside to implement a risk response or to respond to risk events \nshould they occur.\nManagement reserves are set aside for unexpected activities relate d to in-scope work. Depending \non the organization’s policies and organizational structure, manage ment reserves may be managed \nby the project, t he sponsor, product owner, or the PMO at the program and portfolio level. Figure 2-18 \nshows the budge t build up.\nPMI Seventh Edition July 202163\nSection 2 – Project Performance Domains2.4.3 PROJECT TEAM COMPOSITION AND STRUCTURE\nPlanning for project team2 composition begins with identifying the skill sets required to accomplish \nthe project work. This entails evaluating not only the skills, but also the level of proficiency and years \nof experience in similar projects.\nThere are different cost structures associated with using internal project team members versus \nsecuring them from outside the organization. The benefit that outside skills bring to the project are \nweighed against the costs that will be incurred.\n2 This topic is about planning for the project team. Topics associated with project team leadership are addressed \nin the Team Performance Domain.Management\nReserv e\nContingency\nReserve\nCost\nBaselineProject\nBudge tWork Cost\nEstimates\nProject Budget Component\nTotal Amount\nFigure 2-18. Budget Build Up\nPMI Seventh Edition July 202164\nPMBOK® GuideWhen planning for the project team, the project manager considers the ability and necessity for \nthe project team to work in the same location. Small project teams that can work in the same room \nare able to take advantage of osmotic communication and can solve problems as they arise. Some project teams are physically dispersed. Project team members may be in different cities, time zones, or countries. On projects where project team members work virtually, more time is spent connecting people through technology.\n2.4.4 COMMUNICATION\nCommunication planning overlaps with stakeholder identification, analysis, prioritization, and \nengagement as described in the Stakeholder Performance Domain (Section 2.1). Communication is the most important factor in engaging with stakeholders effectively. Planning communication for the project entails considering the following:\n▶Who needs information?\n▶What information does each stakeholder need?\n▶Why should information be shared with stakeholders?\n▶What is the best way to provide information?\n▶When and how often is information needed?\n▶Who has the information needed?\nThere may be different categories of information, such as internal and external, sensitive \nand public, or general and detailed. Analyzing the stakeholders, information needs, and categories of information provides the foundation for establishing the communications processes and plans for the project.\nPMI Seventh Edition July 202165\nSection 2 – Project Performance Domains2.4.5 PHYSICAL RESOURCES\nPhysical resources apply to any resource that is not a person. It can include materials, \nequipment, software, testing environments, licenses, and so forth. Planning for physical resources \nentails estimating, as described in Section 2.4.2.2, as well as supply chain, logistics, and management. Projects with significant physical resources, such as engineering and construction projects, will need to plan for procurement activities to acquire the resources. This may be as simple as utilizing a basic ordering agreement or as complicated as managing, coordinating, and integrating several large procurement activities.\nPlanning for physical resources includes taking into account lead time for delivery, movement, \nstorage, and disposition of materials, as well as a means to track material inventory from arrival on site to delivery of an integrated product. Project teams whose projects require significant physical materials think and plan strategically about the timing from order, to delivery, to usage. This can include evaluation of bulk ordering versus cost of storage, global logistics, sustainability, and integrating management of physical assets with the rest of the project.\n2.4.6 PROCUREMENT\nProcurements can happen at any time during a project. However, up-front planning helps \nto set expectations that ensure the procurement process is performed smoothly. Once the high-level scope is known, project teams conduct a make-or-buy analysis. This includes identifying those deliverables and services that will be developed in-house, and those that will be purchased from external sources. This information impacts the project team and the schedule. Contracting professionals need advance information on the type of goods needed, when they will be needed, and any technical specifications required for the procured goods or services.\nPMI Seventh Edition July 202166\nPMBOK® Guide2.4.7 CHANGES\nThere will be changes througho ut the project. Some changes are a result of a risk event \noccurring or a project environment change, some are based on developing a deeper understanding \nof requirements, and others are due to customer requests or other reaso ns. Therefore, project teams \nshould prepare a process for adapting plans throughout the project. This may take the form of a \nchange control process, repriorit izing the backlog, or rebaselining the project. Projects that have a \ncontractual element may need to fo llow a defined process for contract changes.\n2.4.8 METRICS\nThere is a natural linkage between planning, delivering, and measuring work. That linkage is \nmetrics. Establishing metrics includes setting the thresholds t hat indicate whether work perfo rmance \nis as expected, trending positively or negatively away from expected performance, or unacceptable. \nDeciding what to measure and how often is best info rmed by the phrase “only measure what mat ters.”\nMetrics associated with the product are specific to the deliverables being developed. Metrics \nassociated with schedule and budget performance are often driven by organizational standards \nand are related to a baseline or an approved version of the schedule or budget against which actual \nresults are compared.\nAs part of planning, the metrics, baselines, and thresholds for performance are established, as \nwell as any test and evaluation processes and procedures that will be used to measure performance \nto the specification of the project deliverable. The metrics, baselines, and tests are used as the basis \nto evaluate variance of actual performance as part of the Measurement Performance Domain.\nPMI Seventh Edition July 202167\nSection 2 – Project Performance Domains2.4.9 ALIGNMENT\nPlanning activities and artifacts need to remain integrated throughout the project. This means \nthat planning for the performance in terms of scope and quality requirements aligns with delivery \ncommitments, allocated funds, type and availability of resources, the uncertainty inherent in the project, and stakeholder needs. Project teams can require additional planning artifacts depending on the type of project. For example, logistics plans will need to integrate with material and delivery needs, testing plans will need to align with quality and delivery needs, and so forth.\nWork on one project often occurs in parallel with other projects in a program or a release. \nThe timing of the work of a single project should align with the needs of the work on related projects and the operations work of the organization.\nLarge projects may combine the planning artifacts into an integrated project management \nplan. For smaller projects, a detailed project management plan will be inefficient. Regardless of the timing, frequency, and degree of planning, the various aspects of the project need to remain aligned and integrated.\n2.4.10 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nPlanning occurs throughout the project and integrates with each performance domain. At the \nstart of the project, the expected outcomes are identified and high-level plans to achieve them are developed. Depending on the selected development approach and life cycle, intensive planning may be conducted up front, and then plans may be adjusted to reflect the actual environment. Other life cycles encourage just enough planning at various points throughout the project with the expectation that plans will evolve.\nThroughout the project, planning guides the project work, delivery of outcomes, and business \nvalue. Project teams and stakeholders establish measures of progress and success, and performance is compared to plans. Uncertainty and planning interact as project teams plan for how to address uncertainty and risks. Plans may need to be revised or new plans developed to account for events or conditions that emerge. The project team members, environment, and project details influence plans for working effectively with the project team and engaging proactively with stakeholders.\nPMI Seventh Edition July 202168\nPMBOK® Guide2.4.11 CHECKING RESULTS\nTable 2-6 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-6. Checking Outcomes—Planning Performance Domain\nOutcome Check\nThe project progresses in an \norganized, coordinated, and deliberate manner.\nThere is a holistic approach to \ndelivering the project outcomes.\nEvolving information is elaborated \nto produce the deliverables and outcomes for which the project was undertaken.\nTime spent planning is appropriate \nfor the situation.\nPlanning information is sufficient to \nmanage stakeholder expectations.\nThere is a process for the \nadaptation of plans throughout the project, based on emerging and changing needs or conditions.A performance review of project results against the project baselines and other measurement metrics demonstrates that the project is progressing as planned. Performance va riances are within thresholds.\nThe delivery schedule, funding , resource av ailability , procurements, etc., \ndemonstrate that the project is planned in a holistic manner with no gaps or areas of misalignment.\nInitial information about deliverables and requirements compared to current \ninformation demonstrates appropriate elaboration. Current information \ncompared to the business case indicates the project will produce the \ndeliverables and outcomes it was undertaken to deliver.\nProject plans and documents demonstrate that the level of planning is \nappropriate for the project.\nThe communications management plan and stakeholder information indicate \nthat the communications are sufficient to manage stakeholder expectations.\nProjects using a backlog show the adaptation of plans throughout the project. \nProjects using a change control process ha ve change logs and documentation \nfrom change control board meetings that demonstrate the change control process is being applied.\nPMI Seventh Edition July 202169\nSection 2 – Project Performance Domains2.5 PROJECT WORK PERFORMANCE DOMAIN\nProject work is associated with establishing the processes and performing the work to enable \nthe project team to deliver the expected deliverables and outcomes.PROJECT WORK PERFORMANCE DOMAIN\nEfficient and effective project perfor mance.\nProject processes are appropriate for the project and the \nenvironment.\nAppropriate communication with stak eholders.\nEfficient management of physical resources.Effectiv e manage ment of procurements.\nImproved team capability due to continuous learning and \nprocess improve ment.The Project Wo rk \nPerformance Domain \naddresses activities and \nfunctions associated with establishing project processes, managing \nphysical resources, and fostering a lear ning \nenvironment.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-19. Project Work Performance Domain\nPMI Seventh Edition July 202170\nPMBOK® Guide\nThe following definitions are relevant to the Project Work Performance Domain:\nBid Documents. All documents used to solicit information, quotations, or proposals from \nprospective sellers.\nBidder Conference. The meetings with prospective sellers prior to the preparation of a bid \nor proposal to ensure all prospective vendors have a clear and common understanding of the procurement. Also known as contractor conferences, vendor conferences, or pre-bid conferences.\nExplicit Knowledge. Knowledge that can be codified using symbols such as words, numbers, \nand pictures.Tacit Knowledge. Personal knowledge that can be difficult to articulate and share such as \nbeliefs, experience, and insights. \nProject work keeps the project team focused and project activities running smoothly. This \nincludes but is not limited to:\n▶Managing the flow of existing work, new work, and changes to work;\n▶Keeping the project team focused;\n▶Establishing efficient project systems and processes;\n▶Communicating with stakeholders;\n▶Managing material, equipment, supplies, and logistics;\n▶Working with contracting professionals and vendors to plan and manage procurements\nand contracts;\n▶Monitoring changes that can affect the project; and\n▶Enabling project learning and knowledge transfer.\nPMI Seventh Edition July 202171\nSection 2 – Project Performance Domains2.5.1 PROJECT PROCESSES\nThe project manager and the project team establish and periodically review the processes \nthe project team is using to conduct the work. This can take the form of reviewing task boards to \ndetermine if there are bottlenecks in the process, if work is flowing at the expected rate, and if there are any impediments that are blocking progress.\nProcess tailoring can be used to optimize the process for the needs of the project. In general, \nlarge projects have more process compared to small projects, and critical projects have more process than less significant projects. Tailoring takes into consideration the demands of the environment. Ways of optimizing the processes for the environment include:\n▶Lean production methods. Lean production uses techniques such as value stream\nmapping to measure the ratio of value-adding activities and non-value-adding activities.The metrics calculated form a basis and measurement system for identifying and removingwaste from production systems.\n▶Retrospectives or lessons learned. These meetings provide an opportunity for the\nproject team to review the way in which it works and to suggest changes to improveprocess and efficiency.\n▶Where is the next best funding spent? Asking this question can help project teamsdetermine if they should continue with the current task or move onto the next activity tooptimize value delivery.\nReviewing processes can entail determining if processes are efficient, or if there is waste in \nthe process that can be eliminated. Time spent tracking conformance to process is time the project team cannot spend on delivering the outcomes for which the project was commissioned. Therefore, project teams utilize just enough time reviewing process conformance to maximize the benefits delivered from the review while still satisfying the governance needs of process.\nPMI Seventh Edition July 202172\nPMBOK® GuideIn addition to being efficient, processes should be effective. This means they need to comply \nwith quality requirements, regulations, standards, and organizational policies in addition to \nproducing the desired outcome. Process evaluation can include process audits and quality assurance activities to ensure processes are being followed and are accomplishing the intended outcomes.\n2.5.2 BALANCING COMPETING CONSTRAINTS\nSuccessfully leading a project includes understanding the constraints associated with the work. \nConstraints can take the form of fixed delivery dates, compliance to regulatory codes, a predetermined budget, quality policies, considerations of the triple bottom line, and so forth. The constraints may shift and change throughout the project. A new stakeholder requirement may entail expanding the schedule and budget. A reduction in budget may entail relaxing a quality requirement or reducing scope.\nBalancing these shifting constraints, while maintaining stakeholder satisfaction, is an ongoing \nproject activity. At times, it may include meeting with the customer, sponsor, or product owner to present alternatives and implications. Other times, the decisions and potential variances may be within the project team’s authority to make trade-offs to deliver the end result. Either way, this balancing activity is ongoing throughout the project.\nExample of non-value-added work. A PMO wants to track the type of work project team \nmembers are doing. They ask the project team to record the type of work they are doing in specific categories on their time sheets. The time taken to categorize and record their time can be viewed as non-value-added work. \nPMI Seventh Edition July 202173\nSection 2 – Project Performance Domains2.5.3 MAINTAINING PROJECT TEAM FOCUS\nProject managers have a responsibility for assessing and balancing the project team focus and \nattention. This involves evaluating short- and long-term projections of progress toward delivery goals.\nLeading the project team includes balancing the workload and assessing if project team members \nare satisfied with their work so they remain motivated. To maximize business and stakeholder value \ndelivered throughout the project, project team attention needs to be kept in a healthy balance. Leading with a goal of maximizing overall delivered value involves focusing on production (delivering value) and protecting the project team’s production capability (project team health and satisfaction). The goal is to keep the project team focused on delivering value and maintain awareness of when potential issues, delays, and cost overruns enter the project.\n2.5.4 PROJECT COMMUNICATIONS AND ENGAGEMENT\nMuch of the project work is associated with communication and engagement, especially work \nassociated with maintaining project team member and other stakeholder engagement. As described in the Stakeholder Performance Domain, communication entails formal and informal communication, in addition to verbal and written communication. Information can be collected in meetings, conversations, and by pulling information from electronic repositories. Once collected, it is distributed as indicated in the project management communications plan.\nOn a day-to-day basis, there are ad hoc requests for information, presentations, reports, and \nother forms of communication. An abundance of ad hoc communication requests may indicate that the communication planning was not sufficient to meet stakeholder needs. In this situation, further stakeholder engagement may be necessary to ensure stakeholder information requirements are met.\n2.5.5 MANAGING PHYSICAL RESOURCES\nSome projects require materials and supplies from third parties. Planning, ordering, transporting, \nstoring, tracking, and controlling these physical resources can take a large amount of time and effort.\nPMI Seventh Edition July 202174\nPMBOK® GuideLarge amounts of physical resources require an integrated logistics system. This is usually \ndocumented in company policies that are then implemented in projects. A logistics plan describes \nhow the company policy will be implemented on the project. Supporting documentation includes estimates for the type of material, basis of estimates, expected usage over time, specifications for grade, and the time and location for deliveries.\nThe objectives from a physical resource perspective are to:\n▶Reduce or eliminate the material handling and storage on site,\n▶Eliminate wait times for materials,\n▶Minimize scrap and waste, and\n▶Facilitate a safe work environment.\nAll of this work is integrated with the master project schedule to provide clear expectations and \ncommunications for all parties involved.\n2.5.6 WORKING WITH PROCUREMENTS\nMany projects involve some form of contracting or procurement. Procurement can cover \neverything from material, capital equipment, and supplies to solutions, labor, and services. In most organizations, project managers do not have contracting authority. Rather, they work with contracting officers or other people with expertise in contracts, laws, and regulations. Organizations usually have rigorous policies and procedures associated with procurements. The policies identify who has authority to enter into a contract, the limits of authority, and the processes and procedures that should be followed.\nPrior to conducting a procurement, the project manager and technically qualified project team \nmembers work with contracting professionals to develop the request for proposals (RFP), statement of work (SOW), terms and conditions, and other necessary documents to go out to bid.\nPMI Seventh Edition July 202175\nSection 2 – Project Performance Domains2.5.6.1 The Bid Process\nThe bid process includes developing and publicizing bid documents, bidder conferences, and \nselecting a bidder.\nBid documents can include:\n▶Request for information. A request for information is used to gather more information\nfrom the market prior to sending out bid documents to a set of selected vendors.\n▶Request for proposal. This bid document is used for complex or complicated scope where\nthe buyer is looking for the vendor to provide a solution.\n▶Request for quote. This bid document is used when price is the main deciding factor, and\nthe proposed solution is readily available.\nThese three types cover the majority of bidding needs. There are other bid documents; \nhowever, they tend to be industry specific.\nOnce the bid documents are distributed, the buyer generally has a bidder conference to \nrespond to bidder questions and provide clarifying information. Then the bidders develop their \nresponses and deliver them to the buyer by the date specified in the bid documents.\nChoosing the best vendor, sometimes known as source selection, is often based on a number \nof criteria, such as experience, references, price, and timely delivery. These variables may be weighted to reflect the relative importance of each. The buyer evaluates vendor bids against the criteria to select an appropriate vendor(s). The buyer and vendor negotiate terms and conditions. Most everything can be negotiated, from cost to delivery and payment dates, to location of work, ownership of intellectual property, and so forth.\n2.5.6.2 Contracting\nEventually, the parties reach agreement and enter into a contract. The type of contracting \nvehicle depends on the size of the purchase, the stability of the scope of work, and the risk tolerances of the organizations.\nPMI Seventh Edition July 202176\nPMBOK® GuideOnce the vendor is selected, the project plans and documents are updated to incorporate \nvendor dates, resources, costs, quality requirements, risks, etc. From that point, the vendor becomes \na project stakeholder. Information in the Stakeholders Performance Domain and Measurement Performance Domain will apply to the vendor(s) throughout the project.\nProcurements can take place at any point during the project. All procurement activities are \nintegrated into the project operations.\n2.5.7 MONITORING NEW WORK AND CHANGES\nIn adaptive projects, there is an expectation that work will evolve and adapt. As a result, new \nwork can be added to the product backlog, as needed. However, if more work is added than is being completed, or if the same amount of work is added that is being completed, the project will continue without end. The project manager works with the product owner to manage expectations around adding scope, the implications to the budget, and the availability of project team members. The product owner prioritizes the project backlog on an ongoing basis so that high-priority items are completed. If the schedule or budget is constrained, the product owner may consider the project done when the highest priority items are delivered.\nFor projects that use an adaptive approach for some deliverables and a predictive approach \nfor others, a master agreement may be used for the overall contract. The adaptive work may be placed in an appendix or supplement. This allows the changes to occur on the adaptive scope without impacting the overall contract. \nPMI Seventh Edition July 202177\nSection 2 – Project Performance DomainsIn predictive projects, the project team actively manages changes to the work to ensure only \napproved changes are included in the scope baseline. Any changes to the scope are then accompanied \nby appropriate changes to the people, resources, schedule, and budget. Scope changes can add to uncertainty; therefore, any change requests should be accompanied by an evaluation of any new risks that are introduced due to the addition to or change in scope. The project manager works with the change control board and the change requestor to guide change requests through the change control process. Approved changes are integrated into the applicable project planning documents, product backlog, and project scope. The changes are also communicated to the appropriate stakeholders.\n2.5.8 LEARNING THROUGHOUT THE PROJECT\nPeriodically, the project team may meet to determine what they can do better in the future \n(lessons learned) and how they can improve and challenge the process in upcoming iterations (retrospectives). Ways of working can evolve to produce better outcomes.\n2.5.8.1 Knowledge Management\nA lot of learning takes place during projects. Some of the learning is project specific, such as \na faster way to accomplish specific work. Some learning can be shared with other project teams to improve outcomes, such as a quality assurance approach that results in fewer defects. Still other learning can be shared throughout the organization, such as training users how to work with a new software application.\n2.5.8.2 Explicit and Tacit Knowledge\nThroughout the project, project teams develop and share explicit knowledge. Explicit \nknowledge can be readily codified using words, pictures, or numbers. For example, the steps to a new process are explicit knowledge that can be documented. Explicit knowledge can be distributed using information management tools to connect people to information, such as manuals, registers, web searches, and databases.\nPMI Seventh Edition July 202178\nPMBOK® GuideAnother type of knowledge is tacit knowledge. Tacit knowledge is challenging to express as it \ncannot be codified. Tacit knowledge is comprised of experience, insights, and practical knowledge or \nskill. Tacit knowledge is shared by connecting the people who need the knowledge with people who have the knowledge. This can be accomplished via networking, interviews, job shadowing, discussion forums, workshops, or other similar methods.\nBecause projects are temporary endeavors, much of the knowledge is lost once the project is \ncompleted. Being attentive to knowledge transfer serves the organization by not only delivering the value that the project was undertaken to achieve, it also allows the organization to gain knowledge from the experience of running projects.\n2.5.9 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Project Work Performance Domain interacts and enables other performance domains \non the project. Project work enables and supports efficient and effective planning, delivery, and measurement. It provides the environment for project team meetings, interactions, and stakeholder engagement to be effective. Project work supports navigating uncertainty, ambiguity, and complexity; and it balances their impacts with the other project constraints.\nPMI Seventh Edition July 202179\nSection 2 – Project Performance Domains2.5.10 CHECKING RESULTS\nTable 2-7 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-7. Checking Outcomes—Project Work Performance Domain\nOutcome Check\nEfficient and effective project \nperformance\nProject processes that are \nappropriate for the project and the environment\nAppropriate communication and \nengagement with stakeholders\nEfficient management of physical \nresources\nEffective management of \nprocurements\nEffective handling of change\nImproved capability due to \ncontinuous learning and process improvementStatus reports show that project work is efficient and effective.\nEvidence shows that the project processes ha ve been tailored to meet the \nneeds of the project and the environment. Process audits and quality \nassurance activities show that the processes are rele vant and being used \neffectively.\nThe project communications management plan and communication artifacts \ndemonstrate that the planned communications are being delivered to stakeholders. There are few ad hoc requests for information or misunderstand-ings that might indicate engagement and communication activities are not effective.\nThe amount of material used, scrap discarded, and amount of rework indicate \nthat resources are being used efficiently.\nA procurement audit demonstrates that appropriate processes utilized were \nsufficient for the procurement and that the contractor is performing to plan.\nProjects using a predictive approach ha ve a change log that demonstrates \nchanges are being ev aluated holistically with consideration for scope, \nschedule, budget, resource, stakeholder , and risk impacts. Projects using an \nadaptive approach ha ve a backlog that shows the rate of accomplishing \nscope and the rate of adding new scope.Team status reports show fewer errors and rework with an increase in velocity.\nPMI Seventh Edition July 202180\nPMBOK® Guide2.6 DELIVERY PERFORMANCE DOMAIN\nProjects support strategy execution and the advancement of business objectives. Project \ndelivery focuses on meeting requirements, scope, and quality expectations to produce the expected \ndeliverables that will drive the intended outcomes.DELIVERY PERFORMANCE DOMAIN\nProjects contribute to business objectives and ad vancement \nof strateg y.\nProjects realize the outcomes they were initiated to delive r.\nProject benefits are realized in the time frame in wh ich they \nwere planned.\nThe project team has a clear understanding of requirements.\nStakeholders accept and are satisfied with project \ndeliverables.The Delivery P erformance \nDomain addresses \nactivities and functions associated with delivering the scope and quality that the project was under taken to achieve.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-20. Delivery Performance Domain\nPMI Seventh Edition July 202181\nSection 2 – Project Performance Domains\nThe following definitions are relevant to the Delivery Performance Domain:\nRequirement. A condition or capability that is necessary to be present in a product, service, \nor result to satisfy a business need.\nWork Breakdown Structure (WBS).\n A hierarchical decomposition of the total scope of work to \nbe carried out by the project team to accomplish the project objectives and create the required \ndeliverables.\nDefinition of Done (DoD). A checklist of all the criteria required to be met so that a deliverable \ncan be considered ready for customer use.Quality. The degree to which a set of inherent characteristics fulfills requirements.\nCost of Quality (COQ). All costs incurred over the life of the product by investment in preventing \nnonconformance to requirements, appraisal of the product or service for conformance to requirements, and failure to meet requirements. \nProjects provide business value by developing new products or services, solving problems, \nor fixing features that were defective or suboptimal. Projects often deliver multiple outcomes that stakeholders may value differently. For example, one group may value ease of use or the time-saving aspects of a deliverable while another group values its economic return or market differentiation.\n2.6.1 DELIVERY OF VALUE\nProjects that use a development approach that supports releasing deliverables throughout the \nproject life cycle can start delivering value to the business, customer, or other stakeholders during the project. Projects that deliver the bulk of their deliverable at the end of the project life cycle generate value after the initial deployment.\nPMI Seventh Edition July 202182\nPMBOK® GuideBusiness value often continues to be captured long after the initial project has ended. \nFrequently, longer product and program life cycles are used to measure the bene fits and value \ncontributed by earlier projects.\nA business case document often provides the business justification and a projection of \nanticipated business value from a project. The format of this business case varies based on the \ndevelopment approach and life cycle selected. Examples include business case documents with \ndetailed estimates of return on investment or a lean, start-up canvas that describes high-level \nelements such as the problem, solution, revenue streams, and cost structures. These business \ndocuments demonstrate how the project outcomes align with the organization’s business objectives.\nProject-authorizing documents attempt to quantify the project’s desired outcomes to allow for \nperiodic measurement. These documents may range from detailed, baselined plans or high-level \nroadmaps that provide an overview of the project life cycle, major releases, key deliverables, reviews, \nand other top-level information.\n2.6.2 DELIVERABLES\nIn this context, deliverable refers to the interim or final product, service, or results from \na project. The deliverables enable the outcomes that the project was undertaken to create. \nDeliverables reflect the stakeholder requirements, scope, and quality, along with the long-term \nimpacts to profit, people, and the planet.\n2.6.2.1 Requirements\nA requirement is a condition or capability that is necessary to be present in a product, service, \nor result to satisfy a business need. Requirements can be very high level, such as those found \nin a business case, or they can be very detailed, such as those found in acceptance criteria for a \ncomponent of a system.\nProjects that have a well-defined scope, which is relatively stable, generally work with project \nstakeholders to elicit and document the requirements during up-front planning. Projects that have a \nhigh-level understanding of the requirements at the start of a project may evolve those requirements \nover time. Some projects discover requirements during project work.\nPMI Seventh Edition July 202183\nSection 2 – Project Performance Domains▶Requirements elicitation. To elicit means to draw out, bring forth, or evoke. There is\nmore to collecting requirements than interviewing or conducting focus groups. Sometimes\nrequirements are drawn out by analyzing data, observing processes, reviewing defect logs,or other methods.\nPart of eliciting requirements is documenting them and gaining stakeholder agreement.\nWell-documented requirements meet the following criteria:\n▹Clear. There is only one way to interpret the requirement.\n▹Concise. The requirement is stated in as few words as possible.\n▹Verifiable. There is a way to verify that the requirement has been met.\n▹Consistent. There are no contradictory requirements.\n▹Complete. The set of requirements represents the entirety of the current project\nor product needs.\n▹Traceable. Each requirement can be recognized by a unique identifier.\n▶Evolving and discovering requirements. On projects that do not have clearly defined\nrequirements up front, prototypes, demonstrations, storyboards, and mock-ups can beused to evolve the requirements. In these situations, stakeholders are more likely to takean “I’ll know it when I see it” approach to developing requirements. Evolving requirementsare common in projects using iterative, incremental, or adaptive development approaches.In some cases, new opportunities arise that change requirements.\n▶Managing requirements. Regardless of whether requirements are documented up\nfront, evolved along the way, or discovered, there is a need to manage them. Ineffectiverequirements management can lead to rework, scope creep, customer dissatisfaction,budget overruns, schedule delay, and overall project failure. Therefore, many projectshave one accountable person for requirements management. This person may serve asbusiness analyst, product owner, value engineer, or other title. Those individuals managingrequirements may use specialized software, backlogs, index cards, traceability matrices, orsome other method to ensure there is an appropriate level of requirement flexibility versusstability, and that new and changing requirements are agreed to by all relevant stakeholders.\nPMI Seventh Edition July 202184\nPMBOK® Guide2.6.2.2 Scope  Definition\nAs requirements are identified, the scope that will meet them is defined. Scope is the sum of \nthe products, services, and results to be provided as a project. As scope is defined, it creates the need \nfor more requirements identification. Therefore, like requirements, scope can be well defined up front, it can evolve over time, or it can be discovered.\n▶Scope decomposition. Scope can be elaborated using a scope statement to identify\nthe major deliverables associated with the project and the acceptance criteria for eachdeliverable. Scope can also be elaborated by decomposing it into lower levels of detailusing a work breakdown structure (WBS). A WBS is a hierarchical decomposition of the totalscope of work to be carried out by the project team to accomplish the project objectivesand create the required deliverables. Each level down in the hierarchy represents a greaterlevel of detail of the deliverable and work required to produce it.\nAnother way to elaborate scope is by identifying the themes of the project in an agile\ncharter, roadmap, or as part of the product hierarchy. Themes represent large groupsof customer value reflected as user stories associated by a common factor, such asfunctionality, data source, or security level. To accomplish themes, the project teamdevelops epics, which are logical containers for a large user story that is too big to completewithin an iteration. Epics may be decomposed into features, a set of related requirementstypically described as a short phrase or function, which represent specific behaviors ofa product. Each feature will have multiple user stories. A user story is a brief descriptionof an outcome for a specific user, which is a promise for a conversation to clarify details.The project team defines story details at the last responsible moment to avoid wastefulplanning should the scope change. The story is a clear and concise representation of\na requirement written from the end user’s perspective.\nPMI Seventh Edition July 202185\nSection 2 – Project Performance Domains▶Completion of deliverables. Depending on the approach used, there are different ways\nto describe component or project completion:\n▹Acceptance or completion criteria. The criteria required to be met before the customer\naccepts the deliverable or before the project is considered complete are often\ndocumented in a scope statement.\n▹Technical performance measures. The technical specifications for a product may be\ndocumented in a separate specifications document, or they may be documented asan extension to the WBS. This extension, known as a WBS dictionary, elaborates theinformation for each deliverable (work package) in the WBS.\n▹Definition of done. The definition of done is used with adaptive approaches, particularlyin software development projects. It is a checklist of all the criteria required to be metso that a deliverable can be considered ready for customer use.\n2.6.2.3 Moving Targets of Completion\nProjects that operate in uncertain and rapidly changing environments face the situation that \na “good enough for release” or “done” goal may be subject to change. In markets where competitors are releasing new products frequently, the features planned for a new release may be updated. Likewise, new technology trends, such as mobile devices or wearable devices, might trigger a change in direction or introduce new requirements.\nIn these environments, the definition of the project goal being delivered or “done” is constantly \nmoving. Project teams track the planned rate of project goal achievement relative to the rate of progress toward completion. The longer the project takes to complete, the further the project goal of “done” is likely to move. This is sometimes referred to as “done drift.”\nPMI Seventh Edition July 202186\nPMBOK® Guide\nFigure 2-21 shows a scenario for developing a new smart watch. The initial schedule shows \n12 months to develop the watch with the initial set of capabilities and features. As competitors \nlaunch similar products, the initial set of capabilities and features increases to stay relevant with the market. This pushes the launch date to Month 14. At 13 months, another competitor launches a product with even more capabilities. Adding these capabilities would delay the launch to Month 16. At some point, a decision will be made whether to release the product as is, even though it doesn’t have the latest features, or continue to update the features prior to launch.\nInitial Shedule\nNew Features\nIdentified\nNew Features\nIdentifiedNew Features\nIdentified\nDone Drift1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 161 2 3 4 5 6 7 8 9 10 11 12 13 141 2 3 4 5 6 7 8 9 10 11 12\nDone Drift\nFigure 2-21. Scenario for Developing a Smart Watch \nPMI Seventh Edition July 202187\nSection 2 – Project Performance DomainsProjects that operate in a more stable environment often face “scope creep.” This is when \nadditional scope or requirements are accepted without adjusting the corresponding schedule, \nbudget, or resource needs. To combat scope creep, project teams use a change control system where all changes are evaluated for the potential value they bring to the project and the potential resources, time, and budget needed to realize the potential value. The project team then presents the changes to the project governance body, product owner, or executive sponsor for formal approval.\n2.6.3 QUALITY\nDelivery is more than just scope and requirements. Scope and requirements focus on what \nneeds to be delivered. Quality focuses on the performance levels that are required to be met. Quality requirements may be reflected in the completion criteria, definition of done, statement of work, or requirements documentation.\nMuch of the costs associated with quality are born by the sponsoring organization and are \nreflected in policies, procedures, and work processes. For example, organizational policies that govern how work is performed and procedures that prescribe work processes are often part of the organization’s quality policy. The cost of overhead, training, and process audit are born by the organization, though they are employed by the project. Inherent in projects is balancing the quality needs of the processes and products with the costs associated with meeting those needs.\nPMI Seventh Edition July 202188\nPMBOK® Guide2.6.3.1 Cost of Quality\nThe cost of quality (COQ) methodology is used to find the appropriate balance for investing \nin quality prevention and appraisal to avoid defect or product failures. This model identifies four \ncategories of costs associated with quality: prevention, appraisal, internal failure, and external failure. Prevention and appraisal costs are associated with the cost of compliance to quality requirements. Internal and external failure costs are associated with the cost of noncompliance.\n▶Prevention. Prevention costs are incurred to keep defects and failures out of aproduct. Prevention costs avoid quality problems. They are associated with the design,implementation, and maintenance of the quality management system. They are plannedand incurred before actual operation. Examples include:\n▹Product or service requirements, such as the establishment of specifications for incoming\nmaterials, processes, finished products, and services;\n▹Quality planning, such as the creation of plans for quality, reliability, operations,\nproduction, and inspection;\n▹Quality assurance, such as the creation and maintenance of the quality system; and\n▹Training, such as the development, preparation, and maintenance of programs.\n▶Appraisal. Appraisal costs are incurred to determine the degree of conformance to\nquality requirements. Appraisal costs are associated with measuring and monitoringactivities related to quality. These costs may be associated with evaluation of purchasedmaterials, processes, products, and services to ensure that they conform to specifications.They could include:\n▹Verification, such as checking incoming material, process setup, and products againstagreed specifications;\n▹Quality audits, such as confirmation that the quality system is functioning correctly; and\n▹Supplier rating, such as assessment and approval of suppliers of products and services.\nPMI Seventh Edition July 202189\nSection 2 – Project Performance Domains▶Internal Failure. Internal failure costs are associated with finding and correcting defects\nbefore the customer receives the product. These costs are incurred when the results\nof work fail to reach design quality standards. Examples include:\n▹Waste, such as performance of unnecessary work or holding enough stock to account\nfor errors, poor organization, or communication;\n▹Scrap, such as defective product or material that cannot be repaired, used, or sold;\n▹Rework or rectification, such as correction of defective material or errors; and\n▹Failure analysis, such as activities required to establish the causes of internal product\nor service failure.\n▶External Failure. External failure costs are associated with defects found after the\ncustomer has the product and with remediation. Note that to consider these failures\nholistically requires thinking about the project's product while it is in operation aftermonths or years, not just at the handover date. External failure costs occur when productsor services that fail to reach design quality standards are not detected until after they havereached the customer. Examples include:\n▹Repairs and servicing, for both returned products and those that are deployed;\n▹Warranty claims, such as failed products that are replaced or services that arereperformed under a guarantee;\n▹Complaints, for all work and costs associated with handling and servicing customers’\ncomplaints;\n▹Returns, for handling and investigation of rejected or recalled products, including\ntransport costs; and\n▹Reputation, where reputation and public perception can be damaged depending on the\ntype and severity of defects.\nTo optimize delivered value, early inspection and review work focused on finding quality issues as \nsoon as possible are good investments. Attempts to “test-quality-in” late in the development life cycle are likely to fail because discovering quality issues late in development is time- and cost-prohibitive due to high rates of scrap and rework, along with the ripple effect to downstream outputs and stakeholders.\nPMI Seventh Edition July 202190\nPMBOK® Guide2.6.3.2 Cost of Change\nThe later a defect is found, the more expensive it is to correct. This is because design and \ndevelopment work have typically already occurred based on the flawed component. Also, activities \nare more costly to modify as the life cycle progresses since more stakeholders are impacted. This phenomenon is characterized by the cost of change curve (see Figure 2-22).\nCost\nPhase DetectedBuild Test Production Design RequirementsCost of Change\n1x5x20x50x150x\nBoehm’s Cost of Change Curv e: Change ge ts more expensive over time\nFigure 2-22. Cost of Change Curve\nPMI Seventh Edition July 202191\nSection 2 – Project Performance DomainsTo counter the impacts of the cost of change curve, project teams design project processes \nto build in quality. This approach can include quality analysts working with designers and engineers \nto understand and determine how best to achieve quality during each step in the project life cycle. Being proactive about quality work helps avoid the high cost of change associated with fixing quality issues discovered later in the life cycle. It is quicker and more cost efficient to fix a design problem between two engineers than a component problem affecting hundreds of units or to recall a product impacting thousands of customers.\n2.6.4 SUBOPTIMAL OUTCOMES\nAll projects attempt to deliver outcomes, though some may fail to do so or may produce \nsuboptimal outcomes. The potential for suboptimal outcomes exists in every project. In the case of a fully experimental project, the organization is attempting to achieve a breakthrough, such as the creation of a completely new technology, for example. This requires deliberate investment in an uncertain outcome. Companies that produce new medicines or compounds may experience several failures before finding a successful formula. Some projects may fail to deliver outcomes because the market opportunity has passed or competitors were first to market with their offering. Effective project management can minimize negative outcomes, but such possibilities are part of the uncertainty of attempting to produce a unique deliverable.\n2.6.5 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Delivery Performance Domain is the culmination of the work done in the Planning \nPerformance Domain. The delivery cadence is based on the way work is structured in the Development Approach and Life Cycle Performance Domain. The Project Work Performance Domain enables the deliveries by establishing processes, managing physical resources, managing procurements, and so forth. Project team members perform the work in this performance domain for the relevant stakeholders. The nature of the work to create the deliveries will influence how the project team navigates uncertainty that impacts the project.\nPMI Seventh Edition July 202192\nPMBOK® Guide2.6.6 CHECKING RESULTS\nTable 2-8 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-8. Checking Outcomes—Delivery Performance Domain\nOutcome Check\nProjects contribute to business \nobjectives and advancement of strategy\nProjects realize the outcomes they \nwere initiated to deliver\nProject benefits are realized in the \ntime frame in which they were planned\nThe project team has a clear \nunderstanding of requirements\nStakeholders accept and are \nsatisfied with project deliverablesThe business plan and the organization’s strategic plan, along with the project authorizing documents, demonstrate that the project deliverables and business objectives are aligned.\nThe business case and underlying data indicate the project is still on track to \nrealize the intended outcomes.\nThe benefits realization plan, business case, and/or schedule indicate that the \nfinancial metrics and scheduled deliveries are being achieved as planned.\nIn predictive development, little change in the initial requirements reflects \nunderstanding . In projects where requirements are evolving , a clear under-\nstanding of requirements may not take place until well into the project.\nInterviews, observation, and end user feedback indicate stakeholder \nsatisfaction with deliverables. Levels of complaints and returns can also be used to indicate satisfaction.\nPMI Seventh Edition July 202193\nSection 2 – Project Performance Domains2.7 MEASUREMENT PERFORMANCE DOMAIN\nMeasurement involves assessing project performance and implementing appropriate \nresponses to maintain optimal performance.MEASUREMENT PERFORMANCE DOMAIN\nA reliable understanding of the status of the project .\nActionable data to facilitate decision making .\nTimely and appropriate actions to ke ep project perfor mance \non track.\nAchie ving targets and ge nerating business va lue by making \ninformed and timely decisions based on reliable forecasts \nand evaluations.The Measurement \nPerformance Domain \naddresses activities and functions associated with assessing project perfor mance and taking \nappropriate actions to maintain acceptable performance.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-23. Measurement Performance Domain\nThe following definitions are relevant to the Measurement Performance Domain:\nMetric. A description of a project or product attribute and how to measure it.\nBaseline. The approved version of a work product used as a basis for comparison to actual results.Dashboard. A set of charts and graphs showing progress or performance against important \nmeasures of the project. \nPMI Seventh Edition July 202194\nPMBOK® GuideThe Measurement Performance Domain evaluates the degree to which the work done in the \nDelivery Performance Domain is meeting the metrics identified in the Planning Performance Domain. \nFor example, performance can be measured and evaluated using baselines identified in the Planning Performance Domain. Having timely and accurate information about project work and performance allows the project team to learn and determine the appropriate action to take to address current or expected variances from the desired performance.\nMeasures are used for multiple reasons, including:\n▶Evaluating performance compared to plan;\n▶Tracking the utilization of resources, work completed, budget expended, etc.;\n▶Demonstrating accountability;\n▶Providing information to stakeholders;\n▶Assessing whether project deliverables are on track to deliver planned benefits;\n▶Focusing conversations about trade-offs, threats, opportunities, and options; and\n▶Ensuring the project deliverables will meet customer acceptance criteria.\nThe value of measurements is not in the collection and dissemination of the data, but rather \nin the conversations about how to use the data to take appropriate action. Therefore, while much of this performance domain addresses various types of measurements that can be captured, use of the measures occurs within the context of activities in other performance domains, such as project team and stakeholder discussions, coordinating project work, and so forth.\nPMI Seventh Edition July 202195\nSection 2 – Project Performance Domains2.7.1 ESTABLISHING EFFECTIVE MEASURES\nEstablishing effective measures helps to ensure the right things are measured and reported \nto stakeholders. Effective measures allow for tracking, evaluating, and reporting information that \ncan communicate project status, help improve project performance, and reduce the likelihood \nof performance deterioration. These measures allow the project team to use information to make \ntimely decisions and take effective actions.\n2.7.1.1 Key Performance Indicators\nKey performance indicators (KPIs) for projects are quantifiable measures used to evaluate the \nsuccess of a project. There are two types of KPIs: leading indicators and lagging indicators.\nThis performance domain focuses on measures for active projects. A portfolio leader may \nwant to include measures that address the success of the project after it is completed, such as whether the project delivered the intended outcomes and benefits. Portfolio leaders may assess if the project outcome increased customer satisfaction, decreased cost per unit, or other measures that are not available until after the project has closed. Similarly, business managers may assess the project from the perspective of the value the outcome brings to the organization. Business measures might include the increase in market share, increase in profit, or decrease in cost per unit. The Measurement Performance Domain addresses measures and metrics that are used during the project. \nPMI Seventh Edition July 202196\nPMBOK® Guide▶Leading indicators. Leading indicators predict changes or trends in the project. If the\nchange or trend is unfavorable, the project team evaluates the root cause of the leading\nindicator measurement and takes actions to reverse the trend. Used in this way, leadingindicators can reduce performance risk on a project by identifying potential performancevariances before they cross the tolerance threshold.\nLeading indicators may be quantifiable, such as the size of the project or the number ofitems that are in progress in the backlog. Other leading indicators are more difficult toquantify, but they provide early warning signs of potential problems. The lack of a riskmanagement process, stakeholders who are not available or engaged, or poorly definedproject success criteria are all examples of leading indicators that project performancemay be at risk.\n▶Lagging indicators. Lagging indicators measure project deliverables or events. They\nprovide information after the fact. Lagging indicators reflect past performance orconditions. Lagging indicators are easier to measure than leading indicators. Examplesinclude the number of deliverables completed, the schedule or cost variance, and theamount of resources consumed.\nLagging indicators can also be used to find correlations between outcomes and\nenvironmental variables. For example, a lagging indicator that shows a schedule variancemay show a correlation with project team member dissatisfaction. This correlation canassist the project team in addressing a root cause that may not have been obvious if theonly measure was schedule status.\nIn and of themselves, KPIs are simply measures that have no real use unless and until they \nare used. Discussing leading and lagging indicators and identifying areas for improvement, as appropriate, can have a positive impact on performance.\nPMI Seventh Edition July 202197\nSection 2 – Project Performance Domains2.7.1.2 Effective Metrics\nMeasuring takes time and effort, which could otherwise be spent on other productive work; \ntherefore, project teams should only measure what is relevant and should ensure that the metrics \nare useful. Characteristics of effective metrics (or SMART criteria) include:\n▶Specific. Measurements are specific as to what to measure. Examples include the number\nof defects, the defects that have been fixed, or the average time it takes to fix defects.\n▶Meaningful. Measures should be tied to the business case, baselines, or requirements.\nIt is not efficient to measure product attributes or project performance that do not lead tomeeting objectives or improving performance.\n▶Achievable. The target is achievable given the people, technology, and environment.\n▶Relevant. Measures should be relevant. The information provided by the measure shouldprovide value and allow for actionable information.\n▶Timely. Useful measurements are timely. Information that is old is not as useful as freshinformation. Forward-looking information, such as emerging trends, can help project teamschange direction and make better decisions.\nThe SMART acronym described previously can use alternative terms. For example, some people \nprefer “measurable” instead of meaningful, “agreed to” instead of achievable, “realistic” or \n“reasonable” instead of relevant, and “time bound” instead of timely. \nPMI Seventh Edition July 202198\nPMBOK® Guide2.7.2 WHAT TO MEASURE\nWhat is measured, the parameters, and the measurement method depend on the project \nobjectives, the intended outcomes, and the environment in which the project takes place. Common \ncategories of metrics include:\n▶Deliverable metrics,\n▶Delivery,\n▶Baseline performance,\n▶Resources,\n▶Business value,\n▶Stakeholders, and\n▶Forecasts.\nA balanced set of metrics helps to provide a holistic picture of the project, its performance, and \nits outcomes.\nSections 2.7.2.1 through 2.7.2.7 provide a brief description of these categories.\n2.7.2.1 Deliverable Metrics\nBy necessity, the products, services, or results being delivered determine the useful measures. \nCustomary measures include:\n▶Information on errors or defects. This measure includes the source of defects, number\nof defects identified, and number of defects resolved.\n▶Measures of performance. Measures of performance characterize physical or functional\nattributes relating to the system operation. Examples include size, weight, capacity,accuracy, reliability, efficiency, and similar performance measures.\n▶Technical performance measures. Quantifiable measures of technical performance are\nused to ensure system components meet technical requirements. They provide insightsinto progress in achieving the technical solution.\nPMI Seventh Edition July 202199\nSection 2 – Project Performance Domains2.7.2.2 Delivery\nDelivery measurements are associated with work in progress. These measures are frequently \nused in projects using adaptive approaches.\n▶Work in progress. This measure indicates the number of work items that are being worked\non at any given time. It is used to help the project team limit the number of items in progress\nto a manageable size.\n▶Lead time. This measure indicates the amount of elapsed time from a story or chunkof work entering the backlog to the end of the iteration or the release. Lower lead timeindicates a more effective process and a more productive project team.\n▶Cycle time. Related to lead time, cycle time indicates the amount of time it takes theproject team to complete a task. Shorter times indicate a more productive project team.\nA consistent time helps predict the possible rate of work in the future.\n▶Queue size. This measure tracks the number of items in a queue. This metric can becompared to the work in progress limit. Little’s Law states that queue size is proportionalto both the rate of arrival in the queue and the rate of completion of items from the queue.One can gain insights into completion times by measuring work in progress and developinga forecast for future work completion.\n▶Batch size. Batch size measures the estimated amount of work (level of effort, story points,etc.) that is expected to be completed in an iteration.\n▶Process efficiency. Process efficiency is a ratio used in lean systems to optimize the flow\nof work. This measure calculates the ratio between value-adding time and non-value-addingactivities. Tasks that are waiting increase the non-value-adding time. Tasks that are indevelopment or in verification represent value-adding time. Higher ratios indicate a moreefficient process.\nPMI Seventh Edition July 2021100\nPMBOK® Guide2.7.2.3 Baseline Performance\nThe most common baselines are cost and schedule. Projects that track a scope or technical \nbaseline can use information in the deliverable measures.\nMost schedule measures track actual performance to planned performance related to:\n▶Start and finish dates. Comparing the actual start dates to the planned start dates and\nthe actual finish dates to the planned finish dates can measure the extent to which work isaccomplished as planned. Even if work is not on the longest path through the project (thecritical path), late start and finish dates indicate that the project is not performing to plan.\n▶Effort and duration. Actual effort and duration compared to planned effort and duration\nindicates whether estimates for the amount of work and the time the work takes are valid.\n▶Schedule variance (SV). A simple schedule variance is determined by looking at\nperformance on the critical path. When used with earned value management, it is thedifference between the earned value and the planned value. Figure 2-24 shows an earnedvalue graph illustrating the schedule variance.\n▶Schedule performance index (SPI). Schedule performance index is an earned value\nmanagement measure that indicates how efficiently the scheduled work is being performed.\n▶Feature completion rates. Examining the rate of feature acceptance during frequent\nreviews can help assess progress and estimate completion dates and costs.\nCommon cost measures include:\n▶Actual cost compared to planned cost. This cost measure compares the actual cost for\nlabor or resources to the estimated cost. This term may be referred to as the burn rate.\n▶Cost variance (CV). A simple cost variance is determined by comparing the actual cost\nof a deliverable to the estimated cost. When used with earned value management, it isthe difference between the earned value and the actual cost. Figure 2-24 shows an earnedvalue graph illustrating the cost variance.\n▶Cost performance index (CPI). An earned value management measure that indicates\nhow efficiently the work is being performed with regard to the budgeted cost of the work.\nPMI Seventh Edition July 2021101\nSection 2 – Project Performance Domains\nTimeCostCV\nSV\nPlanned Value (PV)\nActual Costs (A C)\nEarned Value (EV)CV = EV – AC\nSV = EV – PVCPI = EV / ACSPI = EV / PVBAC\nFigure 2-24. Earned Value Analysis Showing Schedule and Cost Variance\n2.7.2.4 Resources\nResource measurements may be a subset of cost measurements since resource variances \nfrequently lead to cost variances. The two measures evaluate price variance and usage variance. \nMeasures include:\n▶Planned resource utilization compared to actual resource utilization. This\nmeasurement compares the actual usage of resources to the estimated usage. A usagevariance is calculated by subtracting the planned usage from the actual usage.\n▶Planned resource cost compared to actual resource cost. This measurement compares\nthe actual cost of resources to the estimated cost. Price variance is calculated by subtractingthe estimated cost from the actual cost.\nPMI Seventh Edition July 2021102\nPMBOK® Guide2.7.2.5 Business Value\nBusiness value measurements are used to ensure the project deliverable stays aligned to the \nbusiness case and the benefits realization plans. Business value has many aspects—both financial \nand nonfinancial. Metrics that measure financial business value include:\n▶Cost-benefit ratio. This is a measure of the expected present value of an investment with\nthe initial cost. The cost-benefit ratio is used to determine if the costs of a project outweigh \nits benefits. If the costs are greater than the benefits, the res\nult will be greater than 1.0. In this \ncase, the project should not be considered unless there are regulatory, social good, or otherreasons to do the project. A similar measure is a benefit-cost ratio. The same measures areused, but the benefits are in the numerator and the costs are in the denominator. For thismeasure, if the ratio is greater than 1.0, the project should be considered.\n▶Planned benefits delivery compared to actual benefits delivery. As part of a business\ncase, organizations may identify value as the benefit that will be delivered as a result ofdoing the project. For projects that expect to deliver benefits during the project life cycle,measuring the benefits delivered and the value of those benefits, then comparing thatinformation to the business case, provides information that can justify the continuation\nof the project, or in some cases, the cancellation of the project.\n▶Return on investment (ROI). A measure of the amount of financial return compared to \nthe cost, ROI is generally developed as an input to the decision to undertake a project. Theremay be estimates of ROI at different points in time across the project life cycle. By measuringROI throughout the project, the project team can determine if it makes sense to continue theinvestment of organizational resources.\n▶Net present value (NPV). The difference between the present value of inflows ofcapital and the present value of outflows of capital over a period of time, NPV is generallydeveloped when deciding to undertake a project. By measuring the NPV throughout theproject, the project team can determine if it makes sense to continue the investment oforganizational resources.\nPMI Seventh Edition July 2021103\nSection 2 – Project Performance Domains2.7.2.6 Stakeholders\nStakeholder satisfaction can be measured with surveys or by inferring satisfaction, or lack \nthereof, and by looking at related metrics, such as:\n▶Net Promoter Score® (NPS®). A Net Promoter Score measures the degree to which a\nstakeholder (usually the customer) is willing to recommend a product or service to others.\nIt measures a range from -100 to +100. A high Net Promoter Score not only measuressatisfaction with a brand, product, or service, it is also an indicator of customer loyalty.\n▶Mood chart. A mood chart can track the mood or reactions of a group of very importantstakeholders—the project team. At the end of each day, project team members can usecolors, numbers, or emojis to indicate their frame of mind. Figure 2-25 shows a mood chartusing emojis. Tracking the project team’s mood or individual project team member’s moodscan help to identify potential issues and areas for improvement.\nSunday Monday Tuesday Wednesday Thursday Friday Saturday\nFigure 2-25. Mood Board\nPMI Seventh Edition July 2021104\nPMBOK® Guide▶Morale. Since mood boards can be subjective, another option is to measure project team\nmorale. This can be done by surveys, asking project team members to rate their agreement\non a scale of 1 to 5 to statements such as:\n▹I feel my work contributes to the overall outcomes.\n▹I feel appreciated.\n▹I am satisfied with the way my project team works together.\n▶Turnover. Another way to track morale is by looking at unplanned project team turnover.High rates of unplanned turnover may indicate low morale.\n2.7.2.7 Forecasts\nProject teams use forecasts to consider what might happen in the future so they can consider \nand discuss whether to adapt plans and project work accordingly. Forecasts can be qualitative, such as using expert judgment about what the future will hold. They can also be causal when seeking to understand the impact a specific event or condition will have on future events. Quantitative forecasts seek to use past information to estimate what will happen in the future. Quantitative forecasts include:\n▶Estimate to complete (ETC).3 An earned value management measure that forecasts\nthe expected cost to finish all the remaining project work. There are many different waysto calculate the estimate to complete. Assuming past performance is indicative of futureperformance, a common measurement is calculation of the budget at completion minusthe earned value, then dividing by the cost performance index. For more calculations todetermine the ETC, see The Standard for Earned Value Management [2].\n▶Estimate at completion (EAC). This earned value management measure forecasts theexpected total cost of completing all work (see Figure 2-26). There are many differentways to calculate the estimate at completion. Assuming past performance is indicative offuture performance, a common measurement is the budget at completion divided by thecost performance index. For more calculations to determine the EAC, see The Standard for\nEarned Value Management [2].\n3 Quantitative forecasts associated with earned value management are often used for very large projects. Some \ndeliverables in those projects may use adaptive development methods. However, the forecasting metrics in \nearned value management are predominantly used in predictive environments.\nPMI Seventh Edition July 2021105\nSection 2 – Project Performance Domains▶Variance at completion (VAC). An earned value management measure that forecasts the\namount of budget deficit or surplus. It is expressed as the difference between the budget\nat completion (BAC) and the estimate at completion (EAC).\n▶To-complete performance index (TCPI). An earned value management measure that\nestimates the cost performance required to meet a specified management goal. TCPI isexpressed as the ratio of the cost to finish the outstanding work to the remaining budget.\n▶Regression analysis. An analytical method where a series of input variables are examined\nin relation to their corresponding output results in order to develop a mathematical orstatistical relationship. The relationship can be used to infer future performance.\n▶Throughput analysis. This analytical method assesses the number of items beingcompleted in a fixed time frame. Project teams that use adaptive practices use throughputmetrics such as features complete vs. features remaining, velocity, and story points toevaluate their progress and estimate likely completion dates. Using duration estimates\nand burn rates of stable project teams can help verify and update cost estimates.\nTimeCost\nEVACPVBudget at Completion (BAC)Estimate at Completion (EAC )\nEstimate to\nComplete\n(ETC)\nStatus DatePlanned Value (PV) Cur ve\nActual Costs (AC) Curv e\nEarned Value (EV) Curv e\nFigure 2-26. Forecast of Estimate at Completion and Estimate to Complete\nPMI Seventh Edition July 2021106\nPMBOK® Guide2.7.3 PRESENTING INFORMATION\nThe measures being collected are important, but what is done with the measures is just as \nimportant. For information to be useful, it has to be timely, accessible, easy to absorb and digest, \nand presented so that it correctly conveys the degree of uncertainty associated with the information. Visual displays with graphics can help stakeholders absorb and make sense of information.\n2.7.3.1 Dashboards\nA common way of showing large quantities of information on metrics is a dashboard. Dashboards \ngenerally collect information electronically and generate charts that depict status. Often, dashboards offer high-level summaries of data and allow drill-down analysis into contributing data. Figure 2-27 provides an example of a dashboard.\nDashboards often include information displayed as stoplight charts (also known as RAG charts \nwhere RAG is an abbreviation for red-amber-green), bar charts, pie charts, and control charts. A text explanation can be used for any measures that are outside the established thresholds.\nPMI Seventh Edition July 2021107\nSection 2 – Project Performance DomainsOrganization Project Name\nProject Name and\nHigh-LevelDescription\nExec Sponsor:\nStart Date:\nStatus:PM:\nEnd Date:\nSchedule\nActivity #1\nActivity #2\nActivity #3Concer n\nOn Track\nIssueResources\nRecent Accomplishments Upcoming Key Deliverables Status Key Activities\nCurrent Key Risks –C urrent Key Issues –BudgetReport Period:\nThreats and oppor tunities;\nMitiga tionDescriptionOn TrackC omplete Concer n IssueO n Hold Canceled Not Star ted\nFigure 2-27. Dashboard Example\nPMI Seventh Edition July 2021108\nPMBOK® Guide2.7.3.2 Information Radiators\nInformation radiators, also known as big visible charts (BVCs), are visible, physical displays \nthat provide information to the rest of the organization, enabling timely knowledge sharing. They \nare posted in a place where people can see the information easily, rather than having information in a scheduling or reporting tool. BVCs should be easy to update, and they should be updated frequently. They are often “low tech and high touch” in that they are manually maintained rather than electronically generated. Figure 2-28 shows an information radiator associated with work completed, work remaining, and risks.\nRisk Description Date Likelihood Impact Risk Rating\nRisk LogResponse Owner Reference\nThe main supplier cannot\ndeliver on time because of \nother commercial commitmentsShows ho w \nmuch work is \nyet to be \ncompletedShows ho w \nmuch work \nhas been \ncompletedShows how much \nwork has been \ncompleted and how much remains \nInclude financial penalties in \ncontract; build contingency into the schedule; monitor contractor perfor mance\nOrder leased line earl ier than \nnecessar y; incur additional \nrental fees\nEmploy temporary staff \nto free up resources for testing; revise project schedule\nPrioritize projects; temporarily remo ve alter native development \ninstanceThe lead time for the leased line exceeds 90 da ys\nRelease of the new system \nis dela yed because user \nacceptance testing commences after the planned start\nThere is insufficient capacity to \ncreate additional database instances for data mig ration \nand testingAnnie\nJim\nMark\nJimHigh\nMedium\nHigh\nLowHigh\nMedium\nHigh\nMediumLikely\nUnlike ly\nVery\nlikely\nVery\nunlike ly03/21\n03/21\n03/21\n04/181\n2\n3\n4Burndown Chart Burnup Chart Combined Burn Chart\nFigure 2-28. Information Radiator\nPMI Seventh Edition July 2021109\nSection 2 – Project Performance Domains2.7.3.3 Visual Controls\nIn lean environments, information radiators are known as visual controls. Visual controls \nillustrate processes to easily compare actual against expected performance. Visual controls show a \nprocess using visual cues. Visual controls can be present for all levels of information from business value delivered to tasks that have started. They should be highly visible for anyone to see.\n▶Task boards. A task board is a visual representation of the planned work that allows\neveryone to see the status of the tasks. A task board can show work that is ready to bestarted (to do), work in progress, and work that is completed (see Figure 2-29).\nA task board allows anyone to see at a glance the status of a particular task or the number\nof tasks in each stage of work. Different color sticky notes can represent different types ofwork, and dots can be used to show how many days a task has been in its current position.\nFlow-based projects, such as those that use kanban boards, can use these charts to limit\nthe amount of work in progress. If a column is approaching the work in progress limit,project team members can “swarm” around the current work to help those working ontasks that are slowing the flow.\n▶Burn charts. Burn charts, such as a burnup or burndown charts, can show project teamvelocity. Velocity measures the productivity rate at which the deliverables are produced,validated, and accepted within a predefined interval. A burnup chart can track the amountof work done compared to the expected work that should be done (see Figure 2-30).\nA burndown chart can show the number of story points remaining or the amount of riskexposure that has been reduced.\n▶Other types of charts. Visual charts can also include information such as an impedimentlist that shows a description of the impediment to getting work done, the severity, and theactions being taken to resolve the impediment.\nPMI Seventh Edition July 2021110\nPMBOK® GuideKanban Board\nReadyDevelop and\nUnit TestDev-DoneSystem\nTestDone\n8 3 2 Cycle time: from\nthe time yo u star t\na task until yo u\ncomplete it.\nLead time: from the time yo u \nput it on the board until yo u\ndeliver it. Because yo u can \nchang e the order of the items\nin the Ready column, this can\nbe unpredictable.\nThere is a limiton this column.You can s wap\nout somethingand swap some-thing else in atany time.Deliver to Customer\nFigure 2-29. Task Board or Kanban Board\nPMI Seventh Edition July 2021111\nSection 2 – Project Performance Domains2.7.4 MEASUREMENT PITFALLS\nProject measures help the project team meet the project objectives. However, there are \nsome pitfalls associated with measurement. Awareness of these pitfalls can help minimize their \nnegative effect.Day\n135\n3025201510\n50\nDay\n2Day\n3Day\n4Day\n5Day\n6Day\n7Day\n8Day\n9Day\n10Story\nPointsDoneStory Points Done\nFigure 2-30. Burnup Chart\nPMI Seventh Edition July 2021112\nPMBOK® Guide▶Hawthorne effect. The Hawthorne effect states that the very act of measuring something\ninfluences behavior. Therefore, take care in establishing metrics. For example, measuring\nonly a project team's output of deliverables can encourage the project team to focus oncreating a large volume of deliverables rather than focusing on deliverables that wouldprovide higher customer satisfaction.\n▶Vanity metric. A vanity metric is a measure that shows data but does not provide usefulinformation for making decisions. Measuring pageviews of a website is not as useful asmeasuring the number of new viewers.\n▶Demoralization. If measures and goals are set that are not achievable, project team\nmorale may fall as they continuously fail to meet targets. Setting stretch goals andaspirational measures is acceptable, but people also want to see their hard workrecognized. Unrealistic or unachievable goals can be counterproductive.\n▶Misusing the metrics. Regardless of the metrics used to measure performance, there\nis the opportunity for people to distort the measurements or focus on the wrong thing.Examples include:\n▹Focusing on less important metrics rather than the metrics that matter most,\n▹Focusing on performing well for the short-term measures at the expense of long-term\nmetrics, and\n▹Working on out-of-sequence activities that are easy to accomplish in order to improve\nperformance indicators.\n▶Confirmation bias. As human beings, we tend to look for and see information that\nsupports our preexisting point of view. This can lead us to false interpretations of data.\n▶Correlation versus causation. A common mistake in interpreting measurement data\nis confusing the correlation of two variables with the idea that one causes the other.For example, seeing projects that are behind schedule and over budget might infer thatprojects that are over budget cause schedule issues. This is not true, nor is it true thatprojects that are behind schedule cause budget overruns. Instead, there are likely othercorrelating factors that are not being considered, such as skill in estimating, the ability\nto manage change, and actively managing risk.\nBeing aware of the pitfalls associated with metrics can help with establishing effective metrics \nin addition to being vigilant regarding the dangers associated with inappropriate measures.\nPMI Seventh Edition July 2021113\nSection 2 – Project Performance Domains2.7.5 TROUBLESHOOTING PERFORMANCE\nPart of measurement is having agreed to plans for measures that are outside the threshold \nranges. Thresholds can be established for a variety of metrics such as schedule, budget, velocity, and \nother project-specific measures. The degree of variance will depend on stakeholder risk tolerances.\nFigure 2-31 shows an example of a budget threshold set at +10% (orange) and -20% (green) of \nthe predicted spend rate. The blue line is tracking the actual spend, and in January, it exceeded the +10% upper tolerance that would trigger the exception plan.\nIdeally, project teams should not wait until a threshold has been breached before taking action. \nIf a breach can be forecasted via a trend or new information, the project team can be proactive in addressing the expected variance.Planned and Actual Spend with T olerances\n$300,000\n$250,000$200,000$150,000$100,000\n$50,000\n$0\nJun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Planned\nUpper + 10%Lower – 20%Actuals\nFigure 2-31. Planned and Actual Spend Rates\nPMI Seventh Edition July 2021114\nPMBOK® GuideAn exception plan is an agreed-upon set of actions to be taken if a threshold is crossed or \nforecast. Exception plans do not have to be formal; they can be as simple as calling a stakeholder \nmeeting to discuss the matter. The importance of the exception plan is to discuss the issue and develop a plan for what needs to be done. Then follow through to make sure the plan is implemented and determine if the plan is working.\n2.7.6 GROWING AND IMPROVING\nThe intent in measuring and displaying data is to learn and improve. To optimize project \nperformance and efficiency, only measure and report information that will:\n▶Allow the project team to learn,\n▶Facilitate a decision,\n▶Improve some aspect of the product or project performance,\n▶Help avoid an issue, and\n▶Prevent performance deterioration.\nApplied appropriately, measurements facilitate the project team’s ability to generate business \nvalue and achieve the project objectives and performance targets.\n2.7.7 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Measurement Performance Domain interacts with the Planning, Project Work, and \nDelivery Performance Domains as plans form the basis for comparing the deliveries to plan. The Measurement Performance Domain can support the activities that are part of the Planning Performance Domain by presenting up-to-date information so that lessons learned can reflect favorable or unfavorable information for updating plans. The Team and Stakeholder Performance Domains interact as project team members develop the plans and create the deliverables and deliveries that are measured.\nPMI Seventh Edition July 2021115\nSection 2 – Project Performance DomainsAs unpredictable events occur, both positive and negative, they have an impact on the project \nperformance and therefore on the project measurements and metrics. Responding to changes \ncaused by uncertain events that have occurred includes updating measurements that have been impacted due to the change. Activities in the Uncertainty Performance Domain, such as identifying risks and opportunities, can be initiated based on performance measurements.\nPart of the project work is working with the project team and other stakeholders to establish \nthe metrics, gather the data, analyze the data, make decisions, and report on project status.\n2.7.8 CHECKING RESULTS\nTable 2-9 identifies the outcomes from effective application of the Measurement Performance \nDomain on the left and ways of checking them on the right.\nTable 2-9. Checking Outcomes—Measurement Performance Domain\nOutcome Check\nA reliable understanding of the \nstatus of the project\nActionable data to facilitate \ndecision making\nTimely and appropriate actions to \nkeep project performance on track\nAchieving targets and generating \nbusiness value by making informed \nand timely decisions based on reliable forecasts and ev aluationsAudit measurements and reports demonstrate if data is reliable.\nMeasurements indicate whether the project is performing as expected or if \nthere are variances.\nMeasurements provide leading indicators and/or current status leads to \ntimely decisions and actions.\nReviewing past forecasts and current performance demonstrates if previous \nforecasts reflect the present accurately . Comparing the actual performance to \nthe planned performance and ev aluating business documents will show the \nlikelihood of achieving intended value from the project.\nPMI Seventh Edition July 2021116\nPMBOK® Guide2.8 UNCERTAINTY PERFORMANCE DOMAIN\nProjects exist in environments with varying degrees of uncertainty. Uncertainty presents threats \nand opportunities that project teams explore, assess, and decide how to handle.UNCERTAINTY PERFORMANCE DOMAIN\nAn awareness of the environment in which projects occur, \nincluding , but not limited to, the technical, social, political, \nmarket, and economic en vironments.\nProactiv ely exploring and responding to unce rtainty.\nAn awareness of the interdependence of multiple v ariables \non the project.\nThe capacity to anticipate threats and opportunities and \nunderstand the consequences of issues.\nProject deliv ery with little or no nega tive impact from \nunforeseen events or conditions.\nOppor tunities are realized to improve project perfor mance \nand outcomes.Cost and schedule reserves are utilized effectively to \nmaintain alignment with project objectiv es.The Uncer tainty \nPerformance Domain \naddresses activities and \nfunctions associated with risk and uncer tainty .Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-32. Uncertainty Performance Domain\nPMI Seventh Edition July 2021117\nSection 2 – Project Performance Domains\nThe following definitions are relevant to the Uncertainty Performance Domain:\nUncertainty. A lack of understanding and awareness of issues, events, paths to follow, \nor solutions to pursue.\nAmbiguity.\n A state of being unclear, having difficulty in identifying the cause of events, or \nhaving multiple options from which to choose.Complexity. A characteristic of a program or project or its environment that is difficult to \nmanage due to human behavior, system behavior, and ambiguity.Volatility. The possibility for rapid and unpredictable change.\nRisk. An uncertain event or condition that, if it occurs, has a positive or negative effect on one \nor more project objectives.\n \nUncertainty in the broadest sense is a state of not knowing or unpredictability. There are many \nnuances to uncertainty, such as:\n▶Risk associated with not knowing future events,\n▶Ambiguity associated with not being aware of current or future conditions, and\n▶Complexity associated with dynamic systems having unpredictable outcomes.\nPMI Seventh Edition July 2021118\nPMBOK® GuideSuccessfully navigating uncertainty begins with understanding the larger environment within \nwhich the project is operating. Aspects of the environment that contribute to project uncertainty \ninclude, but are not limited to:\n▶Economic factors such as volatility in prices, availability of resources, ability to borrow\nfunds, and inflation/deflation;\n▶Technical considerations such as new or emerging technology, complexity associated with\nsystems, and interfaces;\n▶Legal or legislative constraints or requirements;\n▶Physical environment as it pertains to safety, weather, and working conditions;\n▶Ambiguity associated with current or future conditions;\n▶Social and market influences shaped by opinion and media; and,\n▶Political influences, either external or internal to the organization.\nThis performance domain addresses the various aspects of uncertainty, implications of \nuncertainty, such as project risk, as well as options for navigating the various forms of uncertainty.\nPMI Seventh Edition July 2021119\nSection 2 – Project Performance Domains2.8.1 GENERAL UNCERTAINTY\nUncertainty is inherent in all projects. For this reason, the effects of any activity cannot be \npredicted precisely, and a range of outcomes can occur. Potential outcomes that benefit the project \nobjectives are known as opportunities; potential outcomes that have a negative effect on objectives are called threats. Together, the set of opportunities and threats comprise the set of project risks. There are several options for responding to uncertainty:\n▶Gather information. Sometimes uncertainty can be reduced by finding out more\ninformation, such as conducting research, engaging experts, or performing a marketanalysis. It is also important to recognize when further information collection and analysisexceed the benefit of having the additional information.\n▶Prepare for multiple outcomes. In situations where there are only a few possible\noutcomes from an area of uncertainty, the project team can prepare for each of thoseoutcomes. This entails having a primary solution available, as well as having backup orcontingency plans in case the initial solution is not viable or effective. Where there is a largeset of potential outcomes, the project team can categorize and assess the potential causesto estimate their likelihood of occurrence. This allows the project team to identify the mostlikely potential outcomes on which to focus.\n▶Set-based design. Multiple designs or alternatives can be investigated early in the project\nto reduce uncertainty. This allows the project team to look at trade-offs, such as time versuscost, quality versus cost, risk versus schedule, or schedule versus quality. The intention is toexplore options so the project team can learn from working with the various alternatives.Ineffective or suboptimal alternatives are discarded throughout the process.\n▶Build in resilience. Resilience is the ability to adapt and respond quickly to unexpected\nchanges. Resilience applies to both project team members and organizational processes.\nIf the initial approach to product design or a prototype is not effective, the project team\nand the organization need to be able to learn, adapt, and respond quickly.\nPMI Seventh Edition July 2021120\nPMBOK® Guide2.8.2 AMBIGUITY\nThere are two categories of ambiguity: conceptual ambiguity and situational ambiguity. \nConceptual ambiguity—the lack of effective understanding—occurs when people use similar terms \nor arguments in different ways. For example, the statement, “The schedule was reported on track last week,” is not clear. It isn’t clear whether the schedule was on track last week or whether it was reported on last week. In addition, there could be some question as to what “on track” means. Ambiguity of this type can be reduced by formally establishing common rules and definitions of terms, such as what does “on track” mean.\nSituational ambiguity surfaces when more than one outcome is possible. Having multiple \noptions to solve a problem is a form of situational ambiguity. Solutions for exploration of ambiguity include progressive elaboration, experimentation, and the use of prototypes.\n▶Progressive elaboration. This is the iterative process of increasing the level of detail\nin a project management plan as greater amounts of information and more accurateestimates become available.\n▶Experiments. A well-designed series of experiments can help identify cause-and-effect\nrelationships or, at least, can reduce the amount of ambiguity.\n▶Prototypes. Prototypes can help distinguish the relationships between different variables.\n2.8.3 COMPLEXITY\nComplexity is a characteristic of a program, project, or its environment, which is difficult to \nmanage due to human behavior, system behavior, or ambiguity. Complexity exists when there are many interconnected influences that behave and interact in diverse ways. In complex environments, it is not uncommon to see an aggregation of individual elements leading to unforeseen or unintended outcomes. The effect of complexity is that there is no way of making accurate predictions about the likelihood of any potential outcome or even of knowing what outcomes might emerge. There are numerous ways to work with complexity; some of them are systems-based, some entail reframing, and others are based on process.\nPMI Seventh Edition July 2021121\nSection 2 – Project Performance Domains2.8.3.1 Systems-Based\nExamples of working with complexity that is systems based include:\n▶Decoupling. Decoupling entails disconnecting parts of the system to both simplify the\nsystem and reduce the number of connected variables. Determining how a piece of a\nsystem works on its own reduces the overall size of the problem.\n▶Simulation. There may be similar though unrelated scenarios that can be used to\nsimulate components of a system. A project to build a new airport that includes an areawith shopping and restaurants can learn about consumer buying habits by seeking outanalogous information on shopping malls and entertainment establishments.\n2.8.3.2 Reframing\nExamples of working with complexity that entail reframing are:\n▶Diversity. Complex systems require viewing the system from diverse perspectives. This\ncan include brainstorming with the project team to open up divergent ways of seeing thesystem. It can also include Delphi-like processes to move from divergent to convergentthinking.\n▶Balance. Balancing the type of data used rather than only using forecasting data or datathat report on the past or lagging indicators provides a broader perspective. This caninclude using elements whose variations are likely to counteract each other's potentialnegative effects.\n2.8.3.3 Process-Based\nExamples of working with complexity that is process based include:\n▶Iterate. Build iteratively or incrementally. Add features one at a time. After each\niteration, identify what worked, what did not work, customer reaction, and what the\nproject team learned.\n▶Engage. Build in opportunities to get stakeholder engagement. This reduces the number\nof assumptions and builds learning and engagement into the process.\n▶Fail safe. For elements of a system that are critical, build in redundancy or elements that can\nprovide a graceful degradation of functionality in the event of a critical component failure.\nPMI Seventh Edition July 2021122\nPMBOK® Guide2.8.4 VOLATILITY\nVolatility exists in an environment that is subject to rapid and unpredictable change. Volatility \ncan occur when there are ongoing fluctuations in available skill sets or materials. Volatility usually \nimpacts cost and schedule. Alternatives analysis and use of cost or schedule reserve address volatility.\n▶Alternatives analysis. Finding and evaluating alternatives, such as looking at different\nways to meet an objective, such as using a different mix of skills, resequencing work,or outsourcing work. Alternatives analysis may include identifying the variables to beconsidered in evaluating options, and the relative importance or weight of each variable.\n▶Reserve. Cost reserve can be used to cover budget overruns due to price volatility. In some\ncircumstances, schedule reserve can be used to address delays due to volatility associatedwith resource availability.\nEffectively navigating uncertainty, ambiguity, complexity, and volatility improves the ability \nto anticipate situations, make good decisions, plan, and solve problems.\n2.8.5 RISK\nRisks are an aspect of uncertainty. A risk is an uncertain event or condition that, if it occurs, has \na positive or negative effect on one or more project objectives. Negative risks are called threats, and \npositive risks are called opportunities. All projects have risks since they are unique undertakings with \nvarying degrees of uncertainty.\nProject team members should proactively identify risks throughout the project to avoid or \nminimize the impacts of threats and trigger or maximize the impacts of opportunities. Both threats \nand opportunities have a set of possible response strategies that can be planned for implementation \nshould the risk occur.\nIn order to navigate risk effect ively, the project team needs to know what level of risk exposure \nis acceptable in pursuit of the project objectives. This is defined by measurable risk thresholds that \nreflect the risk appetite and at titude of the organization and pro ject stakeholders. Risk thresholds \nexpress the acceptable variation around an objective that reflects the risk appetite of the organization \nand stakeholders. Thresholds are typically stated and communicated to the project team and reflected \nin the definitions of risk impact levels for the project.\nPMI Seventh Edition July 2021123\nSection 2 – Project Performance Domains2.8.5.1 Threats\nA threat is an event or condition that, if it occurs, has a negative impact on one or more \nobjectives. Five alternative strategies may be considered for dealing with threats, as follows:\n▶Avoid. Threat avoidance is when the project team acts to eliminate the threat or protect\nthe project from its impact.\n▶Escalate. Escalation is appropriate when the project team or the project sponsor agrees\nthat a threat is outside the scope of the project or that the proposed response wouldexceed the project manager’s authority.\n▶Transfer. Transfer involves shifting ownership of a threat to a third party to manage the\nrisk and to bear the impact if the threat occurs.\n▶Mitigate. In threat mitigation, action is taken to reduce the probability of occurrence and/or impact of a threat. Early mitigation action is often more effective than trying to repair thedamage after the threat has occurred.\n▶Accept. Threat acceptance acknowledges the existence of a threat, but no proactive\naction is planned. Actively accepting a risk can include developing a contingency plan thatwould be triggered if the event occurred; or it can include passive acceptance, which meansdoing nothing.\nOverall Project Risk\nOverall project risk is the effect of uncertainty on the project as a whole, arising from all sources of uncertainty. This includes individual risks and the exposure to the implications of variation in project outcome, both positive and negative. Overall risk is often a function of complexity, ambiguity, and volatility. Responses to overall project risk are the same as for individual threats and opportunities, though responses are applied to the overall project rather than to a specific event. \nIf the overall risk on the project is too high, the organization may choose to cancel the project. \nPMI Seventh Edition July 2021124\nPMBOK® GuideA response to a specific threat might include multiple strategies. For example, if the threat \ncannot be avoided, it may be mitigated to a level at which it becomes viable to transfer or to accept it.\nThe goal of implementing threat responses is to reduce the amount of negative risk. Risks that \nare accepted sometimes are reduced simply by the passage of time or because the risk event does \nnot occur. Figure 2-33 shows how risks are tracked and reduced over time.\nThreat ProfileCumulative Risk30\n25201510\n50\nJan Feb Mar AprPermits obtained\nSite not ready in time\nEarly road thawProduction reser ve\nPump capacityJan \nShort Risk NameIDFebM ar Apr\n0\n0029000133232300249001233222360366201323232394643322213232312345Permits obtained\nSite not ready in timeEarly road tha w\nProduction reser ve\nPump capacityProbability Impact Severity Probability Impact Severity Probability Impact Severity Probability Impact Severity\nFigure 2-33. Risk Reduction over Time\nPMI Seventh Edition July 2021125\nSection 2 – Project Performance Domains2.8.5.2 Opportunities\nAn opportunity is an event or condition that, if it occurs, has a positive impact on one or more \nproject objectives. An example of an opportunity could be a time and materials-based subcontractor \nwho finishes work early, resulting in lower costs and schedule savings.\nFive alternative strategies may be considered for dealing with opportunities, as follows:\n▶Exploit. A response strategy whereby the project team acts to ensure that an opportunityoccurs.\n▶Escalate. As with threats, this opportunity response strategy is used when the project team\nor the project sponsor agrees that an opportunity is outside the scope of the project or thatthe proposed response would exceed the project manager’s authority.\n▶Share. Opportunity sharing involves allocating ownership of an opportunity to a third party\nwho is best able to capture the benefit of that opportunity.\n▶Enhance. In opportunity enhancement, the project team acts to increase the probability\nof occurrence or impact of an opportunity. Early enhancement action is often moreeffective than trying to improve the opportunity after it has occurred.\n▶Accept. As with threats, accepting an opportunity acknowledges its existence but noproactive action is planned.\nOnce a set of risk responses has been developed, it should be reviewed to see whether the \nplanned responses have added any secondary risks. The review should also assess the residual risk that will remain once the response actions have been carried out. Response planning should be repeated until residual risk is compatible with the organization's risk appetite.\nPMI Seventh Edition July 2021126\nPMBOK® Guide\nTaking an economic view of work prioritization allows the team to prioritize threat avoidance \nand reduction activities.\nComparing the expected monetary value (EMV) of a risk to the anticipated return on investment \n(ROI) of a deliverable or feature allows the project manager to have conversations with sponsors or product owners about where and when to incorporate risks responses into the planned work (see Figure 2-34).\n20%\nBest\nCaseEMV of\nImpactWorst\nCase0%\n–5%Risk\nImpactROI\nFigure 2-34. Risk-Adjusted ROI Curve \nPMI Seventh Edition July 2021127\nSection 2 – Project Performance Domains2.8.5.3 Management and Contingency Reserve\nReserve is an amount of time or budget set aside to account for handling risks. Contingency \nreserve is set aside to address identified risks should they occur. Management reserve is a budget \ncategory used for unknown events such as unplanned, in-scope work.\n2.8.5.4 Risk Review\nEstablishing a frequent rhythm or cadence of review and feedback sessions from a broad \nselection of stakeholders is helpful for navigating project risk and being proactive with risk responses.\nDaily standup meetings can be used in any project and are a source for identifying potential \nthreats and opportunities. Reports of blockers or impediments could become threats if they continue to delay progress. Likewise, reports of progress and breakthroughs might point toward opportunities to be further leveraged and shared.\nFrequent demonstrations of increments of the product or service, interim designs, or proof \nof concepts can surface threats and opportunities. Negative feedback from demonstrations or design reviews can be an early indicator of threats related to dissatisfaction from stakeholders if not corrected. Positive feedback helps inform the project team regarding the areas of development highly valued by the business representatives.\nAddressing risk at weekly status meetings ensures that risk management remains relevant. \nThese meetings can be used to identify new risks as well as identify changes to existing risks.\nRetrospectives and lessons learned meetings can be used to identify threats to performance, \nproject team cohesion, etc., and to seek improvements. They can also help identify practices to try different ways to exploit and enhance opportunities.\nPMI Seventh Edition July 2021128\nPMBOK® Guide2.8.6 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Uncertainty Performance Domain interacts with the Planning, Project Work, Delivery, and \nMeasurement Performance Domains from the product or deliverable perspective. As planning is \nconducted, activities to reduce uncertainty and risks can be built into the plans. These are carried out in the Delivery Performance Domain. Measurements can indicate if the risk level is changing over time.\nProject team members and other stakeholders are the main sources of information regarding \nuncertainty. They can provide information, suggestions, and assistance in working with all the various forms of uncertainty.\nThe choice of life cycle and development approach impact how uncertainty will be addressed. \nOn a predictive project where the scope is relatively stable, reserve in the schedule and budget can be used to respond to risks. On a project using an adaptive approach where the requirements are likely to evolve and where there may be ambiguity around how systems will interact or how stakeholders will react, the project team can adjust plans to reflect evolving understanding or use reserves to offset the impacts of realized risks.\nPMI Seventh Edition July 2021129\nSection 2 – Project Performance Domains2.8.7 CHECKING RESULTS\nTable 2-10 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-10. Checking Outcomes—Uncertainty Performance Domain\nOutcome Check\nAn awareness of the environment in \nwhich projects occur , including , but \nnot limited to, the technical, social, political, market, and economic environments\nProactively exploring and \nresponding to uncertainty\nAn awareness of the interdepen-\ndence of multiple variables on the project\nThe capacity to anticipate threats \nand opportunities and understand the consequences of issues\nProject delivery with little or no \nnegative impact from unforeseen events or conditions\nRealized opportunities to improve \nproject performance and outcomesCost and schedule reserves used \neffectively to maintain alignment with project objectivesThe team incorporates environmental considerations when ev aluating \nuncertainty , risks, and responses.\nRisk responses are aligned with the prioritization of project constraints, such as budget, schedule, and performance.\nActions to address complexity , ambiguity , and volatility are appropriate for \nthe project.\nSystems for identifying , capturing , and responding to risk are appropriately \nrobust.Scheduled delivery dates are met, and the budget performance is within the \nvariance threshold.\nTeams use established mechanisms to identify and leverage opportunities.Teams take steps to proactively prevent threats, thereby limiting use of cost \nor schedule reser ve.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20211313\nTailoring\n3.1 OVERVIEW\nTailoring is the deliberate adaptation of the project management approach, governance, and \nprocesses to make them more suitable for the given environment and the work at hand.\nIn a project env ironment, tailoring considers the development approach, processes , project \nlife cycle, deliverables, and c hoice of people wi th whom to engage . The tailoring process is driv en by \nthe guiding pro ject management principles in The Standard for Pro ject Management [1], organizational \nvalues, and organizational culture. For instance, if a core organizational value is “customer cent ricity,” \nthen the activi ties selected for requirements elicitation and scope validation favo r customer-cent ered \napproaches. This aligns with the principle of “Effectively engage with stakeholders .” Likewise, an \norganization wit h a low appetite for risk may have many processes and procedures to guide projects \nthroughout their life cycles. A similar company operating in the same market—but with a high tolerance \nfor risk—may have fewer proc esses and procedures. In both of these e xamples, the organizations \nare aligned with the principle o f “Optimize risk responses” even t hough their appetite, processes, and \nprocedures are different.\nTailoring entails the mindful selection and adjustment of multiple project factors, regardless \nof whether the label of “tailoring” is used.\nPMI Seventh Edition July 2021132\nPMBOK® GuideTailoring involves understanding the project context, goals, and operating environment. Projects \noperate in complex environments that need to balance potentially competing demands that include, \nbut are not limited to:\n▶Delivering as quickly as possible,\n▶Minimizing project costs,\n▶Optimizing the value delivered,\n▶Creating high-quality deliverables and outcomes,\n▶Providing compliance with regulatory standards,\n▶Satisfying diverse stakeholder expectations, and\n▶Adapting to change.\nThe alternative to tailoring is using an unmodified framework or methodology. There are many \nmethodologies available that provide descriptions of processes, phases, methods, artifacts, and templates to be used in projects. These methodologies and their components are not customized to the organizational context.\nMost of these methodologies have clear instructions stating they should not be applied rigorously \nbut should be subject to a process of tailoring to determine which elements are most useful given the particular type, size, and complexity of the project. Some inexperienced practitioners try to apply the methodology verbatim without regard to project size, complexity, duration, or organizational context. \nPMI Seventh Edition July 2021133\nSection 3 – TailoringThese factors need to be understood, evaluated, and balanced to create a practical operating \nenvironment for the project.\nThere may be situations that limit the degree to which project teams can tailor their approach, \nfor example, when organizational policies mandate the use of a specific approach or a contract \nspecifies a mandated approach.\n3.2 WHY TAILOR?\nTailoring is performed to better suit the organization, operating environment, and project needs. \nMany variables factor into the tailoring process, including the criticality of the project and the number of stakeholders involved. Using these variables as an example, it is evident that the rigor, checks and balances, and reporting required for a critical project (e.g., building a nuclear reactor) are much greater than those for building a new office building.\nLikewise, the communication and coordination of work necessary for a project team of \n10 people is insufficient for a project team of 200 people. Too few processes can omit key activities that support effective project management, while employing more processes than required is costly and wasteful. Thus, tailoring facilitates appropriate management for the operating environment and the project needs.\nThe structure used to deliver projects can be extensive or minimal, rigorous or lightweight, \nrobust or simple. There is no single approach that can be applied to all projects all of the time. Instead, tailoring should reflect the size, duration, and complexity of each individual project and should be adapted to the industry, organizational culture, and level of project management maturity of the organization.\nTailoring produces direct and indirect benefits to organizations. These include, but are not \nlimited to:\n▶More commitment from project team members who helped to tailor the approach,\n▶Customer-oriented focus, as the needs of the customer are an important influencing factor\nin its development, and\n▶More efficient use of project resources.\nPMI Seventh Edition July 2021134\nPMBOK® Guide3.3 WHAT TO TAILOR\nProject aspects that can be tailored include:\n▶Life cycle and development approach selection,\n▶Processes,\n▶Engagement,\n▶Tools, and\n▶Methods and artifacts.\nSections 3.3.1 through 3.3.4 explore each of these in more detail.\n3.3.1 LIFE CYCLE AND DEVELOPMENT APPROACH SELECTION\nDeciding on a life cycle and the phases of the life cycle is an example of tailoring. Additional \ntailoring can be done when selecting the development and delivery approach for the project. Some \nlarge projects may use a combination of development and delivery approaches simultaneously. For instance, building a new data center could involve (a) the use of predictive approaches for the physical building construction and finishing and (b) an iterative approach for understanding and establishing the computing capabilities required. Viewed from a project level, this combination of approaches represents a hybrid approach, but the construction team and the computing team may only experience a predictive or iterative development approach.\nPMI Seventh Edition July 2021135\nSection 3 – Tailoring3.3.2 PROCESSES\nProcess tailoring for the selected life cycle and development approach includes determining \nwhich portions or elements should be:\n▶Added, to bring required rigor, coverage, or address unique product or operating environment\nconditions, etc. (e.g., adding independent inspections for safety-critical projects);\n▶Modified, to better suit the project or project team requirements (e.g., modifying\nthe format of project documents to accommodate project team members with\nvision limitations);\n▶Removed, to reduce cost or effort since it is no longer required or is not economical\nfor the value it adds (e.g., removing the creation of meeting minutes for a small, colocated\nproject team with good communications);\n▶Blended, to bring additional benefits or value by mixing or combining elements (e.g., adding\nappreciative inquiry methods from organizational management to the lessons learnedmeetings of predictive project management to help foster better collaboration); and\n▶Aligned, to harmonize elements so there is consistent definition, understanding, and\napplication (e.g., many disciplines have standards and practices associated with riskmanagement that are sufficiently different from each other that would need to be aligned).For example, on multidisciplinary project teams, different disciplines may have specificelements, such as their own language, tools, and practices related to the same area of focus.\nPMI Seventh Edition July 2021136\nPMBOK® Guide3.3.3 ENGAGEMENT\nTailoring engagement for the people involved in the project includes:\n▶People. This entails evaluating the skills and capabilities of the project leadership and the\nproject team; then selecting who should be involved and in what capacities based on the\nproject type and operating conditions. For example, on a challenging or time-constrainedproject, assigning very experienced project team members is more logical than usinginexperienced project team members.\n▶Empowerment. Empowerment involves choosing which responsibilities and forms of\nlocal decision making should be deferred to the project team. Some environments andteam member capabilities support high levels of empowerment. In other situations, lessempowerment with more supervision and direction might be preferable.\n▶Integration. Project teams can include contributors from contracted entities, channel\npartners, and other external entities in addition to staff from inside the sponsoringorganization. Tailoring considers how to create one project team from a diverse\ncollection of contributors to facilitate optimal project team performance and realization\nof project outcomes.\n3.3.4 TOOLS\nSelecting the tools (e.g., software or equipment) the project team will use for the project \nis a form of tailoring. Often, the project team has the best insight into the most suitable tools for \nthe situation, but those choices might need tempering based on the associated costs. Additionally, \norganizational leaders can impose constraints that the project team cannot change.\n3.3.5 METHODS AND ARTIFACTS\nTailoring the means that will be used to achieve the project outcomes is performed so that the \nmethods are suited for the environment and the culture. Tailoring the documents, templates, and \nother artifacts that will be used on the project helps to make sure the artifacts are appropriate for the \nproject and the organization. Section 4 contains numerous examples of methods and artifacts that \ncan be considered when tailoring methods and artifacts.\nPMI Seventh Edition July 2021137\nSection 3 – Tailoring3.4 THE TAILORING PROCESS\nAs noted in Section 2.5 of The Standard for Project Management [1], projects exist in environments \nthat may have an influence on them. Prior to tailoring, the project environment needs to be analyzed \nand understood. Tailoring typically begins by selecting a development and delivery approach, tailoring it for the organization, tailoring it for the project, and then implementing its ongoing improvement. These steps in the process are shown in Figure 3-1 and described in more detail in Sections 3.4.1 through 3.4.4 of this guide.\nChoose a\ndevelopment\napproach best\nsuited for\nthe endea vorModify based on\norganizational\nmodificationsAdjust based on\nsize, criticality ,\nand other factor sInspect\nand adapt\n1) Select Initial\nDevelopment\nApproach2) Tailor for\nOrganization\n3) Tailor for\nProject4) Implement\nOng\noing\nImprovement\nFigure 3-1. Details of the Steps in the Tailoring Process\nPMI Seventh Edition July 2021138\nPMBOK® Guide3.4.1 SELECT INITIAL DEVELOPMENT APPROACH\nThis step determines the development approach that will be used for the project. Project teams \napply their knowledge of the product, delivery cadence, and awareness of the available options to \nselect the most appropriate development approach for the situation. Selecting the initial approach is depicted in Figure 3-2.\nA suitability filter tool helps project teams consider whether a project has characteristics \nthat lend themselves toward a predictive, hybrid, or adaptive approach. The suitability filter is an informational tool that combines its assessment with other data and decision-making activities so that the tailored approach is appropriate for each project. By evaluating criteria based on culture, project team, and project factors, a suitability filter generates a diagnostic visual that can be helpful in discussing and deciding on the initial approach.Figure 3-2. Selecting the Initial Development Approach\nPMI Seventh Edition July 2021139\nSection 3 – Tailoring3.4.2 TAILOR FOR THE ORGANIZATION\nWhile project teams own and improve their processes, organizations often require some level \nof approval and oversight. Many organizations have a project methodology, general management \napproach, or general development approach that is used as a starting point for their projects. These guides are intended to support such things as repeatable processes, consistent measures of the organization’s project capabilities, and continuous improvement of those capabilities. Organizations that have established process governance need to ensure tailoring is aligned to policy. To demonstrate that the project team’s tailoring decisions do not threaten the organization’s larger strategic or stewardship goals, project teams may need to justify using a tailored approach.\nAdditional constraints for tailoring for the organization include large, safety-critical projects and \nprojects performed under contract. Large, safety-critical project tailoring suggestions may require additional oversight and approval to help prevent errors, loss, or subsequent issues. Projects that are performed under contract may have contract terms that specify the use of a particular life cycle, delivery approach, or methodology.\nThe tailoring process shown in Figure 3-3 uses factors such as project size, criticality, \norganizational maturity, and other considerations.\nFigure 3-3. Tailoring the Approach for the Organization\nPMI Seventh Edition July 2021140\nPMBOK® GuideTailoring for the organization involves adding, removing, and reconfiguring elements of the \napproach to make it more suitable for the individual organization. This process is shown in Figure 3-4.\nOrganizations with a project management office (PMO) or value delivery office (VDO) may play \na role in reviewing and approving tailored delivery approaches.\nTailoring that only impacts the project team (e.g., when they hold internal meetings, who works \nwhere, etc.) requires less oversight than tailoring that impacts external groups (e.g., how and when \nother departments are engaged, etc.). Therefore, internal project tailoring might be approved by the project manager while tailoring changes that impact external groups may require approval by the PMO or VDO. The PMO or VDO can assist project teams as they tailor their approaches by providing ideas and solutions from other project teams.Tailoring at the\nOrganizational\nLevel\nTailoring at the\nProject LevelA General\nProject\nManagement\nMethodologyA General\nDevelopment\nApproach\nOrganization’s\nMethodology for\nSmall ProjectsOrganization’s\nMethodology for\nLarge/Sensitive\nProjects\nMethodology for\nProject AMethodology for\nProject BMethodology for\nProject CMethodology for\nProject DMethodology for\nProject EModels,\nMethods,\nand\nArtifactsGeneral\nGuidesEnvironmental\nFactors\nFigure 3-4. Assessing the Organizational and Project Factors When Tailoring\nPMI Seventh Edition July 2021141\nSection 3 – Tailoring3.4.3 TAILOR FOR THE PROJECT\nMany attributes influence tailoring for the project. These include, but are not limited to:\n▶Product/deliverable,\n▶Project team, and\n▶Culture.\nThe project team should ask questions about each attribute to help guide them in the tailoring \nprocess. Answers to these questions can help identify the need to tailor processes, delivery approach, \nlife cycle, tools, methods, and artifacts.\nA VDO may be found in organizations that use more adaptive delivery approaches. The VDO \nserves an enabling role, rather than a management or oversight function. It focuses on coaching project teams; building adaptive skills and capabilities throughout the organization; and mentoring sponsors and product owners to be more effective in those roles.\nPMI Seventh Edition July 2021142\nPMBOK® Guide3.4.3.1 Product/Deliverable\nAttributes associated with the product or deliverable include, but are not limited to:\n▶Compliance/criticality. How much process rigor and quality assurance is appropriate?\n▶Type of product/deliverable. Is the product well known and physical, for example,\nsomething easy to recognize and describe like a building? Or something intangible like\nsoftware or the design of a new drug?\n▶Industry market. What market does the project, product, or deliverable serve? Is that market\nhighly regulated, fast moving, or slow to evolve? What about competitors and incumbents?\n▶Technology. Is the technology stable and well established or rapidly evolving and at risk\nof obsolescence?\n▶Time frame. Is the project time frame short as in weeks or months, or long as in\nseveral years?\n▶Stability of requirements. How likely are there to be changes to core requirements?\n▶Security. Are elements of the product business confidential or classified?\n▶Incremental delivery. Is this something the project team can develop and get stakeholder\nfeedback on incrementally, or something that is hard to evaluate until near completion?\n3.4.3.2 Project Team\nProject team considerations include:\n▶Project team size. How many full-time and part-time people will be working on the project?\n▶Project team geography. Where are the team members predominantly located\ngeographically? Will some or all of the team be remote or colocated?\n▶Organizational distribution. Where are the team’s supporting groups and other\nstakeholders located?\n▶Project team experience. Do the project team members have any experience in the\nindustry, in the organization, or working with each other? Do they have the skills, tools,\nand technology required for the project under consideration?\n▶Access to customer. Is it practical to get frequent and timely feedback from customers\nor customer representatives?\nPMI Seventh Edition July 2021143\nSection 3 – Tailoring3.4.3.3 Culture\nEvaluating the culture includes considerations regarding:\n▶Buy-in. Is there acceptance, support, and enthusiasm for the proposed delivery approach?\n▶Trust. Are there high levels of trust that the project team is capable of and committed to\ndelivering the project outcomes?\n▶Empowerment. Is the project team trusted, supported, and encouraged to own and\ndevelop its working environment, agreements, and decisions?\n▶Organizational culture. Do the organizational values and culture align with the project\napproach? This includes empowering versus specifying and checking, trusting local decisionmaking versus requesting external decision making, etc.\nThrough the evaluation of these attributes, tailoring decisions around engagement, process, \nand tools can be made for the project. These removals and additions are depicted in Figure 3-5 with an “X” for removals and dotted boxes for the addition of trial processes\nFigure 3-5. Tailoring the Approach for the Project\nPMI Seventh Edition July 2021144\nPMBOK® Guide3.4.3.4 Implement Ongoing Improvement\nThe process of tailoring is not a single, one-time exercise. During progressive elaboration, \nissues with how the project team is working, how the product or deliverable is evolving, and other \nlearnings will indicate where further tailoring could bring improvements. Review points, phase gates, and retrospectives all provide opportunities to inspect and adapt the process, development approach, and delivery frequency as necessary.\nKeeping the project team engaged with improving its process can foster pride of ownership and \ndemonstrate a commitment to implement ongoing improvements and quality. Engaging the project team to find and implement improvements also demonstrates trust in their skills and suggestions along with empowerment. Project team engagement with tailoring demonstrates a mindset of innovation and improvement rather than settling for the status quo.\nThe concept of adding, removing, and changing processes is shown in Figure 3-6.\nHow organizations tailor can itself be tailored. However, most organizations undertake some \nor all of the four steps described. They use elements of selecting an initial approach, tailoring for the \norganization, tailoring for the project, and implementing ongoing improvement as shown in Figure 3-7.Figure 3-6. Implement Ongoing Improvement\nPMI Seventh Edition July 2021145\nSection 3 – Tailoring3.5 TAILORING THE PERFORMANCE DOMAINS\nThe work associated with each performance domain can also be tailored, based on the \nuniqueness of the project. As shown in Figure 3-8, the principles for project management provide \nguidance for the behavior of project practitioners as they tailor the performance domains to meet the unique needs of the project context and the environment.1) Select ApproachTailoring Steps\n2) Tailor for the Org anization\n3) Tailor for the Project\n4)Implement Ong oing\nImprovement\nFigure 3-7. The Tailoring Process\nPMI Seventh Edition July 2021146\nPMBOK® GuideGuide BehaviorPrinciples of Project Management\nStakeholders\nTeam\nDelivery PlanningUncert ainty\nMeasurementProject\nPerformance\nDomainsBe a dilig ent, respectful,\nand caring stewardFocus on va lue\nBuild quality into\nprocesses and delive rablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely eng age\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nDevelopmen t\nApproach\nand\nLife Cycle\nProject Wo rk\nTailor to fit the project context\nFigure 3-8. Tailoring to Fit the Project Context\nSome tailoring considerations related to each of the performance domains include, but are not \nlimited to:\nPMI Seventh Edition July 2021147\nSection 3 – Tailoring3.5.1 STAKEHOLDERS\n▶Is there a collaborative environment for stakeholders and suppliers?\n▶Are the stakeholders internal or external to the organization, or both?\n▶What technologies are most appropriate and cost effective for communicating\nto stakeholders? What communication technology is available?\n▶Is one language used with stakeholders? Have allowances been made to adjust\nto stakeholders from diverse language groups?\n▶How many stakeholders are there? How diverse is the culture within the stakeholder\ncommunity?\n▶What are the relationships within the stakeholder community? The more networks\nin which a stakeholder or stakeholder group participates, the more complex the\nnetworks of information and misinformation the stakeholder may receive.\n3.5.2 PROJECT TEAM\n▶What is the physical location of project team members? Is the project team colocated?\nIs the project team in the same geographical area? Is the project team distributed across\nmultiple time zones?\n▶Does the project team reflect diverse viewpoints and cultural perspectives?\n▶How will project team members be identified for the project? Are project team members\nfull time or part time on the project? Are there available contractors capable of performingthe work?\n▶Does the project team have an established culture? How will tailoring be influenced by the\nexisting culture, and how will the existing culture be influenced by tailoring?\n▶How is project team development managed for the project? Are there organizational tools\nto manage project team development or will new ones need to be established?\n▶Are there project team members who have special needs? Will the project team need\nspecial training to manage diversity?\nPMI Seventh Edition July 2021148\nPMBOK® Guide3.5.3 DEVELOPMENT APPROACH AND LIFE CYCLE\n▶Which development approach is appropriate for the product, service, or result? If adaptive,\nshould the project be developed incrementally or iteratively? Is a hybrid approach best?\n▶What is an appropriate life cycle for this specific project? What phases should comprise\nthe project life cycle?\n▶Does the organization have formal or informal audit and governance policies, procedures,\nand guidelines?\n3.5.4 PLANNING\n▶How might internal and external environmental factors influence the project and its\ndeliverable?\n▶What are the factors influencing durations (such as the correlation between available\nresources and their productivity)?\n▶Does the organization have formal or informal policies, procedures, and guidelines related\nto cost estimating and budgeting?\n▶How does the organization estimate cost when using adaptive approaches?\n▶Is there one main procurement or are there multiple procurements at different times\nwith different sellers that add to the complexity of the procurement processes?\n▶Are local laws and regulations regarding procurement activities integrated with the\norganization’s procurement policies? How does this affect contract auditing requirements?\nPMI Seventh Edition July 2021149\nSection 3 – Tailoring3.5.5 PROJECT WORK\n▶What management processes are most effective based on the organizational culture,\ncomplexity, and other project factors?\n▶How will knowledge be managed in the project to foster a collaborative working\nenvironment?\n▶What information should be collected throughout and at the end of the project? How will\nthe information be collected and managed? What technology is available to develop,\nrecord, transmit, retrieve, track, and store information and artifacts?\n▶Will historical information and lessons learned be made available to future projects?\n▶Does the organization have a formal knowledge management repository that a project\nteam is required to use, and is it readily accessible?\n3.5.6 DELIVERY\n▶Does the organization have formal or informal requirements management systems?\n▶Does the organization have existing formal or informal validation and control-related\npolicies, procedures, and guidelines?\n▶What quality policies and procedures exist in the organization? What quality tools,\ntechniques, and templates are used in the organization?\n▶Are there any specific quality standards in the industry that need to be applied? Are there\nany specific governmental, legal, or regulatory constraints that need to be taken into\nconsideration?\n▶Are there areas of the project with unstable requirements? If so, what is the best approach\nfor addressing the unstable requirements?\n▶How does sustainability factor into the elements of project management or product\ndevelopment?\nPMI Seventh Edition July 2021150\nPMBOK® Guide3.5.7 UNCERTAINTY\n▶What is the risk appetite and risk tolerance for this endeavor?\n▶How are threats and opportunities best identified and addressed within the selected\ndevelopment approach?\n▶How will the presence of project complexity, technological uncertainty, product novelty,\ncadence, or progress tracking impact the project?\n▶Does the project’s size in terms of budget, duration, scope, or project team size require\na more detailed approach to risk management? Or is the project small enough to justify\na simplified risk management process?\n▶Is a robust risk management approach demanded by high levels of innovation, new\ntechnology, commercial arrangements, interfaces, or other external dependencies?\nOr is the project simple enough that a reduced risk management process will suffice?\n▶How strategically important is the project? Is the level of risk increased for this project\nbecause it aims to produce breakthrough opportunities, addresses significant blocks to\norganizational performance, or involves major product innovation?\n3.5.8 MEASUREMENT\n▶How is value measured?\n▶Are there measures for financial value and nonfinancial value?\n▶How will the project enable data capture and reporting related to benefits realization,\nboth during the project and after the project is complete?\n▶What are the project status reporting requirements?\nPMI Seventh Edition July 2021151\nSection 3 – Tailoring3.6 DIAGNOSTICS\nPeriodic reviews such as retrospectives or lessons learned are effective ways to determine \nif approaches are working well and if improvements can be made by tailoring. Project teams that \ndo not use retrospectives can look to issues, threats, quality assurance statistics, and stakeholder feedback for signs that further tailoring or adaptation might be required or useful.\nThis section is intended as general guidance and does not address every possible situation \nthat could surface within a project. Table 3-1 lists some common situations and suggested tailoring solutions for commonly encountered situations.\nTable 3-1. Common Situations and Tailoring Suggestions\nSituation Tailoring Suggestion\nPoor quality deliverables\nTeam members unsure of how to proceed or undertake \ntheir work\nLong delays waiting for approvals\nToo much work in progress or high rates of scrap\nStakeholders are not engaged or share negative \nfeedbackLack of visibility and understanding of project progress\nIssues and/or risks for which the team is unprepared \ncontinue to surface, requiring the team to react rather than progress workAdd more feedback verification loops and quality assurance steps.\nAdd more guidance, training, and ve rification steps.\nTry streamlining approval decisions through fewer \npeople authorized to make decisions up to certain \nvalue thresholds.\nUse techniques like value stream mapping and kanban \nboards to visualize the work, identify the issues, and propose solutions.\nEvaluate whether sufficient information is being shared \nwith stakeholders; feedback loops are present and working; and deeper engagement may work better than \nsimply communicating.\nCheck to ensure appropriate measures are being \ncollected, analyzed, shared, and discussed during team and stakeholder meetings; validate agreement with the measures within the team and with stakeholders.\nExplore root causes to identify whether there are \nrelated gaps in project processes or activities.\nPMI Seventh Edition July 2021152\nPMBOK® Guide3.7 SUMMARY\nTailoring involves the considered adaptation of approach, governance, and processes to make \nthem more suitable for the given environment and the project at hand. It involves the analysis, \ndesign, and deliberate modification of the people elements, the processes employed, and the tools used. The tailoring process involves four steps:\n▶Select initial approach.\n▶Tailor for the organization.\n▶Tailor for the project.\n▶Implement ongoing improvement.\nWhile the tailoring process is often undertaken by the project stakeholders, the bounds and \napproach to tailoring are usually governed by organizational guidelines. Organizational governance helps ensure the external interfaces between project teams mesh correctly and provides guidance \nin the form of tailoring considerations.\nPMI Seventh Edition July 2021153Models, Methods, \nand Artifacts\n4.1 OVERVIEW\nThis section provides a high-level description of some commonly used models, methods, and \nartifacts that are useful in managing projects. The items listed in this section are not intended to be \nexhaustive or prescriptive, but rather to help project teams think about the options available to them.\nIn the context of this guide, terms are defined as follows:\n▶Model. A model is a thinking strategy to explain a process, framework, or phenomenon.\n▶Method. A method is the means for achieving an outcome, output, result, or projectdeliverable.\n▶Artifact. An artifact can be a template, document, output, or project deliverable.\nAs project teams consider the tailoring questions in Section 3.5 and decide on specific responses \nto those questions, they will start to build a framework for structuring their efforts to deliver the project outcomes. For example, project teams select specific methods to enable capturing and sharing the applicable information so they can track progress, improve project team performance in real time, and engage stakeholders.\nFigure 4-1 shows how tailoring includes the models and methods used to perform work in \nthe project performance domains. The deliverables and the artifacts are also tailored to the project, internal environment, and external environment.4\nPMI Seventh Edition July 2021154\nPMBOK® GuideGuide Behavior\nStakeholder s\nProject WorkTeam\nDeliver y PlanningProject\nPerformance\nDomainsDevelopment\nApproach\nand\nLife CyclePrinciples of Project ManagementExternal En vironment\nInternal Environment\nSystem for Value Deliver yMethod\nMethodMethodMethodMethodMethodMethodMethodModels\nArtifactsDeliverable\nDeliverable\nDeliverable\nDeliverableBe a dilig ent, respectful,\nand caring stewardFocus on v alue\nBuild quality into\nprocesses and deliv erablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely enga ge\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nMeasurementUncertainty\nTailor to fit the project context\nFigure 4-1. Tailoring to Fit the Project Context and Environment\nPMI Seventh Edition July 2021155\nSection 4 – Models, Methods, and ArtifactsAs with any process, the use of models, methods, and artifacts has associated costs related to \ntime, level of expertise/proficiency in use, impact on productivity, etc. Project teams should consider \nthese implications when deciding which elements to use. As much as possible, project teams should avoid using anything that:\n▶Duplicates or adds unnecessary effort,\n▶Is not useful to the project team and its stakeholders,\n▶Produces incorrect or misleading information, or\n▶Caters to individual needs versus those of the project team.\n4.2 COMMONLY USED MODELS\nModels reflect small-scale, simplified views of reality and present scenarios, strategies, or \napproaches for optimizing work processes and efforts. A model helps to explain how something works in the real world. Models can shape behavior and point to approaches for solving problems or meeting needs. Some models were developed with projects and project teams in mind, others are more general in nature. Where feasible, models in this section are presented as they apply to projects. The content in this section does not describe how to develop or create new models.\nThe model descriptions presented provide a high-level view. Project team members and \nother stakeholders can refer to many sources (e.g., PMI’s library of standards products and PMIstandards+™) for more-complete descriptions and explanations of the models.\n4.2.1 SITUATIONAL LEADERSHIP MODELS\nSituational leadership models are a subset of a vast array of leadership models. Just as \nproject teams tailor the processes, methods, life cycles, and development approaches, leadership styles are also tailored. Situational leadership models describe ways to tailor one’s leadership style to meet the needs of the individual and the project team. The following are examples of two situational leadership models.\nPMI Seventh Edition July 2021156\nPMBOK® Guide4.2.1.1 Situational Leadership® II\nKen Blanchard’s Situational Leadership® II measures project team member development using \ncompetence and commitment as the two main variables. Competence is the combination of ability, \nknowledge, and skill. Commitment speaks to the confidence and motivation an individual has. As an individual’s competence and commitment evolve, leadership styles evolve from directing to coaching to supporting to delegating in order to meet the individual’s needs.\n4.2.1.2 OSCAR Model\nThe OSCAR coaching and mentoring model was developed by Karen Whittleworth and Andrew \nGilbert. It helps individuals adapt their coaching or leadership styles to support individuals who have an action plan for personal development. The model refers to five contributing factors:\n▶Outcome. An outcome identifies the long-term goals of an individual and the desired\nresult from each conversation session.\n▶Situation. A situation enables conversation about the current skills, abilities, and\nknowledge level of the project team member; why the person is at that level; and howthat level impacts the individual’s performance and peer relationships.\n▶Choices/consequences. Choice and/or consequences identify all the potential avenues\nfor attaining the desired outcome and the consequences of each choice so an individualcan choose viable avenues for reaching their long-term goals.\n▶Actions. An action commits to specific improvements by focusing on immediate and\nattainable targets that an individual can work toward within a specified time frame.\n▶Review. Holding regular meetings offers support and helps to ensure that individualsremain motivated and on track.\nPMI Seventh Edition July 2021157\nSection 4 – Models, Methods, and Artifacts4.2.2 COMMUNICATION MODELS\nProject success is dependent on effective communication. Communication models \ndemonstrate concepts associated with how sender and receiver frames of reference impact the \neffectiveness of communication, how the communication medium influences the effectiveness of communication, and the types of disconnects between end-user expectations and reality. With the prevalence of multicultural project teams and dispersed stakeholders, these models provide a way of viewing communication styles and methods to enhance communication efficiency and effectiveness. There are many communication models that demonstrate different aspects of communication. Sections 4.2.2.1 through 4.2.2.3 provide a sampling of communication models.\n4.2.2.1 Cross-Cultural Communication\nA communication model developed by Browaeys and Price incorporates the idea that the \nmessage itself and how it is transmitted is influenced by the sender’s current knowledge, experience, language, thinking, and communication styles, as well as stereotypes and relationship to the receiver. Similarly, the receiver’s knowledge, experience, language, thinking, and communication styles, as well as stereotypes and relationship to the sender will influence how the message is interpreted.\n4.2.2.2 Effectiveness of Communication Channels\nAlistair Cockburn developed a model that describes the communication channels along the \naxes of effectiveness and richness. As defined by Richard Daft and Robert Lengel, richness relates to the amount of learning that can be transmitted through a medium. Media richness is a function of characteristics, including the ability to:\n▶Handle multiple information cues simultaneously,\n▶Facilitate rapid feedback,\n▶Establish a personal focus, and\n▶Utilize natural language.\nRichness in communication allows a broad spectrum of information to be conveyed rapidly. \nSituations that entail complex, complicated, and personal information benefit from richer communication channels, such as face-to-face communication. Situations that impart simple, \nfactual information can use less rich communication channels such as a note or a text message.\nPMI Seventh Edition July 2021158\nPMBOK® Guide4.2.2.3 Gulf of Execution and Evaluation\nDonald Norman described the gulf of execution as the degree to which an item corresponds \nwith what a person expects it to do. Said another way, it is the di fference between the intention of \na user and what the item allows them to do or supports them in doing. A car that has the ability to \nparallel park itself would have a gulf of execution if the driver expected to push a button labeled \n“park” and have the car park itself, and the car did not park itself.\nThe gulf of evaluation is the degree to which an item supports the user in discovering how to \ninterpret the item and interact with it effectively. The same parking example would show a gulf o f \nevaluation if the controls were not designed in such a way that the driver could easily determine how \nto initiate the self-parking function.\n4.2.3 MOTIVATION MODELS\nPeople perform better when they are motivated, and people are motivated by di fferent things. \nUnderstanding what motivates project team members and other stakeholders helps to tailor rewards \nto the individual, thereby eliciting more effective engagement. There are a significant number of \nmodels that illustrate how people are motivated. Four models are described in Sections 4.2.3.1 \nthrough 4.2.3.4, though these are a small representation of available models.\n4.2.3.1 Hygiene and Motivational Factors\nFrederick Herzberg conducted a study of motivational factors in working life. He believed that \njob satisfaction and dissatisfaction stem from conditions called motivational factors. Motivational \nfactors include matters that relate to the content of the work, such as achievement, growth, and \nadvancement. Insufficient motivational factors lead to dissatisfaction. Sufficient motivational factors \nlead to satisfaction.\nHerzberg also identified hygiene factors related to the work, such as company policies, salary, \nand the physical environment. If hygiene factors are insufficient, they cause dissatisfaction. However, \neven if they are sufficient, they do not lead to satisfaction.\nPMI Seventh Edition July 2021159\nSection 4 – Models, Methods, and Artifacts4.2.3.2 Intrinsic versus Extrinsic Motivation\nDaniel Pink published several books about the intrinsic factors that motivate people. He stated \nthat while extrinsic rewards, such as salary, are motivators to a certain extent, once a person is paid \nfairly for their work, the motivational power of extrinsic rewards ceases to exist. For complicated and challenging work, such as much of the work on projects, intrinsic motivators are far longer lasting and more effective. Pink identifies three types of intrinsic motivators: autonomy, mastery, and purpose:\n▶Autonomy. Autonomy is the desire to direct one’s own life. This is aligned with being able\nto determine how, where, and when to accomplish work. Autonomy includes flexible workhours, working from home, and work on self-selecting and self-managing project teams.\n▶Mastery. Mastery is about being able to improve and excel. The desire to do excellentwork, learn, and achieve goals are aspects of mastery.\n▶Purpose. Purpose speaks to the need to make a difference. Knowing the project vision\nand how work contributes to achieving that vision allows people to feel like they are makinga difference.\n4.2.3.3 Theory of Needs\nDavid McClellan’s model states that all people are driven by needs of achievement, power, and \naffiliation. The relative strength of each need depends on an individual’s experiences and culture.\n▶Achievement. People who are motivated by achievement, such as reaching a goal,\nare motivated by activities and work that is challenging, but reasonable.\n▶Power. People who are motivated by power like to organize, motivate, and lead others.\nThey are motivated by increased responsibility.\n▶Affiliation. People who are motivated by affiliation seek acceptance and belonging.\nThey are motivated by being part of a team.\nPMI Seventh Edition July 2021160\nPMBOK® Guide4.2.3.4 Theory X, Theory Y , and Theory Z\nDouglas McGregor devised the Theory X and Theory Y models, which represent a spectrum \nof employee motivation and corresponding management styles. This was later expanded to \ninclude Theory Z.\n▶Theory X. The X side of the spectrum assumes individuals work for the sole purpose ofincome. They are not ambitious or goal oriented. The corresponding management style tomotivate these individuals is a hands-on and top-down approach. This management styleis often seen in a production or labor-intensive environment, or one with many layers ofmanagement.\n▶Theory Y. The Y side of the spectrum assumes that individuals are intrinsically motivatedto do good work. The corresponding management style has a more personal coaching feel.The manager encourages creativity and discussion. This management style is often seen increative and knowledge worker environments.\n▶Theory Z. Abraham Maslow saw Theory Z as a transcendent dimension to work whereindividuals are motivated by self-realization, values, and a higher calling. The optimalmanagement style in this situation is one that cultivates insight and meaning.\nWilliam Ouchi’s version of Theory Z focuses on motivating employees by creating a job\nfor life where the focus is on the well-being of employees and their families. This style ofmanagement seeks to promote high productivity, morale, and satisfaction.\n4.2.4 CHANGE MODELS\nMany projects contain an aspect of changing systems, behaviors, activities, and sometimes, \ncultures. Managing this type of change requires thinking about how to transition from the current to the future desired state. There are many models that describe the activities necessary for successful change management. Sections 4.2.4.1 through 4.2.4.5 provide a sampling of the change models.\nPMI Seventh Edition July 2021161\nSection 4 – Models, Methods, and Artifacts4.2.4.1 Managing Change in Organizations\nManaging Change in Organizations: A Practice Guide [3] is an iterative model that is based \non common elements across a range of change management models. The framework has five \nassociated elements interconnected through a series of feedback loops:\n▶Formulate change. This element focuses on building the rationale to help people\nunderstand why change is needed and how the future state will be better.\n▶Plan change. The identification of activities helps people prepare for the transition fromthe current to the future state.\n▶Implement change. This iterative element focuses on demonstrating the future state\ncapabilities, checking to ensure the capabilities are having the intended impact, and makingnecessary improvements or adaptations in response.\n▶Manage transition. This element considers how to address needs related to the change\nthat may surface once the future state is achieved.\n▶Sustain change. This element seeks to ensure that the new capabilities continue andprevious processes or behaviors cease.\n4.2.4.2 ADKAR® Model\nJeff Hiatt developed the ADKAR® Model which focuses on five sequential steps that individuals \nundergo when adapting to change:\n▶Step 1: Awareness. This step identifies why the change is necessary.\n▶Step 2: Desire. Once people know why the change is necessary, there needs to be a desire\nto be part of and support the change.\n▶Step 3: Knowledge. People need to understand how to change. This includes\nunderstanding new processes and systems in addition to new roles and responsibilities.Knowledge can be imparted through training and education.\n▶Step 4: Ability. In this step, knowledge is supported with hands-on practice and access toexpertise and help as needed.\n▶Step 5: Reinforcement. Reinforcement supports the sustainment of the change. This can\ninclude rewards, recognition, feedback, and measurement.\nPMI Seventh Edition July 2021162\nPMBOK® Guide4.2.4.3 The 8-Step Process for Leading Change\nJohn Kotter introduced the 8-Step Process for Leading Change for transforming organizations. \nIt is a top-down approach where the need for and approach to change originates at the top levels of \nthe organization, and then is promoted down through the organization’s layers of management to the change recipients. The eight steps are:\n▶Step 1: Create urgency. Identify potential threats and opportunities that drive the needfor change.\n▶Step 2: Form a powerful coalition. Identify the change leaders. Change leaders are not\nnecessarily based on hierarchy. The change leaders should be influential people from\na variety of roles, expertise, social, and political importance.\n▶Step 3: Create a vision for change. Identify the values that are central to the change.\nThen create a brief vision statement that summarizes the change. Next, identify a strategyto realize the vision.\n▶Step 4: Communicate the vision. Communicate the vision throughout the changeprocess. Apply the vision throughout all aspects of the organization. Senior managementand the change coalition should consistently communicate the vision and demonstrate\nthe urgency and benefits of the change.\n▶Step 5: Remove obstacles. All change comes with obstacles. Sometimes the obstacles\nare outdated processes, sometimes they are based on the organizational structure,\nand sometimes they are people resistant to change. Regardless, all obstacles need\nto be addressed.\n▶Step 6: Create short-term wins. Identify quick and easy wins to build momentum\nand support for the change.\n▶Step 7: Build on the change. Once the short-term wins are complete, the organizationneeds to set goals for continued improvement.\n▶Step 8: Anchor the changes in corporate culture. Ensure the change becomes ingrained\ninto the culture: continue to communicate the vision, tell success stories, recognize peoplein the organization who embody and empower the change, and continue to support thechange coalition.\nPMI Seventh Edition July 2021163\nSection 4 – Models, Methods, and Artifacts4.2.4.4 Virginia Satir Change Model\nVirginia Satir developed a model of how people experience and cope with change. Its purpose \nis to help project team members understand what they are feeling and enable them to move through \nchange more efficiently.\n▶Late status quo. This initial stage is when everything feels familiar and can becharacterized as “business as usual.” For some people, business as usual may be goodbecause they know what to expect. For others, this status may feel a bit stale or boring.\n▶The foreign element. Something happens that shifts the status quo in this stage. This may\ninclude initiating a project that introduces change to people’s usual way of working. Thereis often a period of resistance and reduction in performance after the change is introduced.People may ignore the change or dismiss its relevance.\n▶Chaos. People are in unfamiliar territory. They are no longer comfortable, and performancedrops to its lowest level. Feelings, actions, and behaviors are unpredictable. Some peoplefeel anxious, others may shut down, and some individuals may feel excited. Chaos canmake people very creative as they try to find ways to make sense of the situation. They tryvarious ideas and behaviors to see which of these has a positive outcome.\n▶The transforming idea. People come to a point where they come up with an idea that\nhelps them make sense of the situation. They begin to see how they can find a way out ofthe chaos and cope with the new reality. Work performance begins to increase.\n▶Practice and integration. People try to implement their new ideas or behaviors. There\nmay be setbacks and a period of trial and error, but eventually they learn what works andwhat doesn’t. This leads to improved performance. Often performance is at a higher levelthan it was before the foreign element was introduced.\n▶New status quo. People get used to the new environment, and their performancestabilizes. Eventually, the new status quo becomes the normal way of working.\nPMI Seventh Edition July 2021164\nPMBOK® Guide4.2.4.5 Transition Model\nWilliam Bridges’ Transition Model provides an understanding of what occurs to individuals \npsychologically when an organizational change takes place. This model differentiates between change \nand transition. Change is situational and happens whether or not people transition through it. \nTransition is a psychological process where people gradually accept the details of the new situation and the changes that come with it.\nThe model identifies three stages of transition associated with change:\n▶Ending, losing, and letting go. The change is introduced in this stage. It is oftenassociated with fear, anger, upset, uncertainty, denial, and resistance to the change.\n▶The neutral zone. The change is happening in this stage. In some instances, people mayfeel frustration, resentment, confusion, and anxiety about the change. Productivity maydrop as people learn new ways of doing work. In other instances, people may become verycreative, innovative, and passionate about trying new ways of working.\n▶The new beginning. At this point, people accept and even embrace the change. They arebecoming more adept at the new skills and the new ways of working. People are often\nopen to learning and are energized by the change.\n4.2.5 COMPLEXITY MODELS\nProjects exist in a state of ambiguity and require interactions among multiple systems, often \nwith uncertain outcomes. Complexity is a challenge to work with. The two models described in Sections 4.2.5.1 and 4.2.5.2 provide a framework to understand complexity and determine how to make decisions in a complex environment.\n4.2.5.1 Cynefin  Framework\nThe Cynefin framework, created by Dave Snowden, is a conceptual framework used to diagnose \ncause-and-effect relationships as a decision-making aid. The framework offers five problem and decision-making contexts:\nPMI Seventh Edition July 2021165\nSection 4 – Models, Methods, and Artifacts▶Where there is an obvious cause-and-effect relationship, best practices are used to make\ndecisions.\n▶Complicated relationships exist when there is a set of known unknowns or a range\nof correct answers. In these situations, it is best to assess the facts, analyze the situation,\nand apply good practices.\n▶Complex relationships include unknown unknowns. There is no apparent cause and effect,\nand there are no obvious right answers. In complex environments, one should probe theenvironment, sense the situation, and respond with action. This style uses emergent practicesthat allow for repeated cycles of probe-sense-respond as complex environments change inreaction to multiple stimuli, and what worked once may not be effective the next time.\n▶In chaotic environments, the cause and effects are unclear. There is too much confusion\nto wait to understand the situation. In these situations, the first step is to take action to tryand stabilize the situation, then sense where there is some stability, and respond by takingsteps to get the chaotic situation to a complex situation.\n▶Disordered relationships lack clarity and may require breaking them into smaller parts\nwhose context links with one of the other four contexts.\nThe Cynefin framework helps identify behaviors, such as probing, sensing, responding, acting, \nand categorizing, which can help impact the relationships between variables and guide actions.\n4.2.5.2 Stacey Matrix\nRalph Stacey developed the Stacey matrix which is similar to the Cynefin framework, but it looks \nat two dimensions to determine the relative complexity of a project: (a) the relative uncertainty of the requirements for the deliverable, and (b) the relative uncertainty of the technology that will be used to create the deliverable. Based on the relative uncertainty of these dimensions, a project is considered simple, complicated, complex, or chaotic. The degree of complexity is one factor that influences tailoring methods and practices for the project.\nPMI Seventh Edition July 2021166\nPMBOK® Guide4.2.6 PROJECT TEAM DEVELOPMENT MODELS\nProject teams move through different stages of development. Understanding the stage of the \nteam in its development helps project managers support the project team and its growth. The two \nmodels presented in Sections 4.2.6.1 and 4.2.6.2 illustrate how project teams move through different stages to become high-performing project teams.\n4.2.6.1 Tuckman Ladder\nBruce Tuckman articulated the stages of team development as forming, storming, norming, and \nperforming. Many people add a fifth stage, adjourning.\n▶Forming. The project team first comes together. Members get to know each other’s name,\nposition on the project team, skill sets, and other pertinent background information. Thismight occur in the kickoff meeting.\n▶Storming. Project team members jockey for position on the team. This phase is where\npeople’s personalities, strengths, and weaknesses start to come out. There might be someconflict or struggle as people figure out how to work together. Storming might go on forsome time or pass relatively quickly.\n▶Norming. The project team starts to function as a collective body. At this point, project team\nmembers know their places on the team and how they relate to and interface with all theother members. They are starting to work together. There might be some challenges as workprogresses, but these issues are resolved quickly, and the project team moves into action.\n▶Performing. The project team becomes operationally efficient. This is the mature project\nteam stage. Project teams that have been together for a while are able to develop asynergy. By working together, project team members accomplish more and produce\na high-quality product.\n▶Adjourning. The project team completes the work and disperses to work on other things.\nIf the project team has formed good relationships, some project team members might besad about leaving the project team.\nThe project team culture in this model starts in the forming stage and evolves throughout the \nrest of the development stages. While this model shows a linear progression, project teams can move back and forth between theses stages. In addition, not all project teams achieve the performing or even the norming stages.\nPMI Seventh Edition July 2021167\nSection 4 – Models, Methods, and Artifacts4.2.6.2 Drexler/Sibbet Team Performance Model\nAllan Drexler and David Sibbet developed a team performance model with seven steps. Steps \n1 through 4 describe the stages in creating a project team, and steps 5 through 7 cover project team \nsustainability and performance.\n▶Step 1: Orientation. Orientation answers the question of why. In this stage, the project\nteam learns the purpose and mission for the project. This usually occurs at a kickoffmeeting, or is documented in a business case, project charter, or lean start-up canvas.\n▶Step 2: Trust building. Trust building answers the question of who. This stage sheds light\non who is on the project team and the skills and abilities each person brings. It can alsoinclude information about key stakeholders who may not be part of the project team butcan influence the project team.\n▶Step 3: Goal clarification. Goal clarification answers what. In this stage, the project team\nelaborates the high-level project information. This may include finding out more aboutstakeholder expectations, requirements, assumptions, and deliverable acceptance criteria.\n▶Step 4: Commitment. Commitment addresses the question of how. In this stage, the\nproject team starts to define plans to achieve the goals. This can include milestoneschedules, release plans, high-level budgets, resource needs, and so forth.\n▶Step 5: Implementation. High-level plans are decomposed into greater levels of detail,\nsuch as a detailed schedule or backlog. The project team starts working together toproduce deliverables.\n▶Step 6: High performance. After the project team has worked together for some time,\nproject team members reach a high level of performance. They work well together, don’tneed much oversight, and experience synergies within the project team.\n▶Step 7: Renewal. Renewal is the stage of working through changes on the project team orthe project. The deliverables, stakeholders, environment, project team leadership, or teammembership may change. This causes the project team to consider if the past behavior\nand actions are still sufficient, or if the project team needs to go back to a previous stage\nto reset the expectations and ways of working together.\nPMI Seventh Edition July 2021168\nPMBOK® Guide4.2.7 OTHER MODELS\nThe models described in Sections 4.2.7.1 through 4.2.7.5 cover a wide range of topics, including \nconflict management, negotiation, planning, Process Groups, and salience.\n4.2.7.1 Conflict  Model\nConflict is common on projects. Conflict can be healthy and productive when handled well. \nIt can result in greater trust among project team members and a deeper commitment to the \noutcomes. Fear of conflict can restrict communication and creativity. However, conflict can be unhealthy as well. Addressing conflict inappropriately can lead to dissatisfaction, lack of trust, and reduced morale and motivation. The model based on work by Ken Thomas and Ralph Kilmann describes six ways of addressing conflict by focusing on the relative power between the individuals and the desire to maintain a good relationship as follows:\n▶Confronting/problem solving. Confronting a conflict treats the conflict as a problem to\nbe solved. This style of conflict resolution is used when the relationship between parties isimportant, and when each person has confidence in the other party’s ability to problem-solve.\n▶Collaborating. Collaborating involves incorporating multiple views about the conflict.\nThe objective is to learn about the various views and see things from multiple perspectives.This is an effective method when there is trust among the participants and when there istime to come to consensus. A project manager may facilitate this type of conflict resolutionbetween project team members.\n▶Compromising. There are some conflicts in which all parties will not be fully satisfied. In\nthose instances, finding a way to compromise is the best approach. Compromise entailsa willingness to give and take. This allows all parties to get something they want, and itavoids escalating the conflict. This style is often used when the parties involved have equal“power.” A project manager may compromise with a technical manager regarding theavailability of a project team member to work on the project.\nPMI Seventh Edition July 2021169\nSection 4 – Models, Methods, and Artifacts▶Smoothing/accommodating. Smoothing and accommodating are useful when reaching\nthe overarching goal is more important than the disagreement. This approach maintains\nharmony in the relationship and can create good will between the parties. This approachis also used when there is a difference in the relative authority or power of the individuals.For example, this approach may be appropriate when there is a disagreement with thesponsor. Since the sponsor outranks the project manager or project team member,and there is a desire to maintain a good relationship with the sponsor, adopting anaccommodating posture may be appropriate.\n▶Forcing. Forcing is used when there is not enough time to collaborate or problem-solve.\nIn this scenario, one party forces their will on the other. The party forcing has more powerthan the other party. A forcing style may be used if there is a health and safety conflict thatneeds to be resolved immediately.\n▶Withdrawal/avoiding. Sometimes a problem will go away on its own, or sometimes\ndiscussions get heated and people need a cooling-off period. In both scenarios,withdrawing from the situation is appropriate. Withdrawal is also used in a no-winscenario, such as complying with a requirement imposed by a regulatory agency insteadof challenging the requirement.\n4.2.7.2 Negotiation\nThere are many models for negotiation. One model is Steven Covey’s principle of “Think Win-Win.” \nThis principle applies to all interactions, not just negotiations, but it is described here in the context \nof negotiation. In negotiations, there are different possible outcomes:\n▶Win-win. This is the optimal outcome, where each person is satisfied with the outcome.\n▶Win-lose/lose-win. This describes a competition perspective where in order to win,\nsomeone else loses. It may also come from a martyr perspective where someone choosesto lose so that others can win.\n▶Lose-lose. This outcome can occur when win-win outcomes may have been possible, but\ncompetition overwhelms collaboration. In this scenario, everyone ends up worse off.\nPMI Seventh Edition July 2021170\nPMBOK® GuideA win-win perspective is generally found when the following aspects are present:\n▶Character. The parties involved are mature, demonstrate integrity, and share the\nperspective that there is enough value for everybody.\n▶Trust. The parties trust each other, establish agreements on how to operate, and are\naccountable.\n▶Approach. Each party is willing to look at the situation from the other’s point of view. The\nparties work together to identify key issues and concerns. They identify what an acceptablesolution looks like and identify options to achieve an acceptable solution.\n4.2.7.3 Planning\nBarry Boehm developed a model that compares the time and effo rt invested in developing \nplans to reduce risk, including the delay and other costs asso ciated with overplanning. By taking \nmore time to plan up front, many projects can reduce uncertai nty, oversights, and rework. However, \nthe longer the time spent planning, t he longer it takes to get a return on investment, the more \nmarket share could be lost, and the more circumstances can change by the time the output is \ndelivered. The intent of this model is to help identify the optimum amount of planning, somet imes \ncalled the sweet spot. The sweet spot is different for every project; therefore, there is no correct \nanswer for the right amount of planning overall. This model demo nstrates that there is a point \nwhere additional planning becomes counterproductive.\n4.2.7.4 Process Groups\nProject management processes can be organized into logical groupings of project management \ninputs, tools and techniques, and outputs that are tailored to meet the needs of the organization, \nstakeholders, and the project.\nGroups of processes are not project phases. The Process Groups interact within each phase \nof a project life cycle. It is possible that all of these processes could occur within a single phase. \nProcesses may be iterated within a phase or life cycle. The number of iterations and interactions \nbetween processes varies based on the needs of the project.\nPMI Seventh Edition July 2021171\nSection 4 – Models, Methods, and ArtifactsProjects that follow a process-based approach may use the following five process groupings \nas an organizing structure:\n▶Initiating. Those processes performed to define a new project or a new phase of an\nexisting project by obtaining authorization to start the project or phase.\n▶Planning. Those processes required to establish the scope of the project, refine the\nobjectives, and define the course of action required to attain the objectives that the projectwas undertaken to achieve.\n▶Executing. Those processes performed to complete the work defined in the projectmanagement plan to satisfy the project requirements.\n▶Monitoring and Controlling. Those processes required to track, review, and regulate the\nprogress and performance of the project; identify any areas in which changes to the planare required; and initiate the corresponding changes.\n▶Closing. Those processes performed to formally complete or close a project, phase,\nor contract.\nThese Process Groups are independent of the delivery approach, application areas (such as \nmarketing, information services, and accounting), or industry (such as construction, aerospace, and telecommunications). In a process-based approach, the output of one process generally becomes an input to another process or is a deliverable of the project or project phase. For example, a project management plan and project documents, such as the risk register, assumption log, etc., which are produced in the planning process grouping, are inputs to the executing process grouping where updates are made to associated artifacts.\n4.2.7.5 Salience Model\nThe Salience Model is about stakeholders. Salience means prominent, noticeable, or perceived \nas important. This model was proposed by Ronald K. Mitchell, Bradley R. Agle, and Donna J. Wood. The authors denoted a stakeholder identification based on three variables: power to influence, legitimacy of the stakeholders’ relationships with the project, and the urgency of the stakeholders' claim on the project for stakeholder engagement.\nPMI Seventh Edition July 2021172\nPMBOK® Guide4.3 MODELS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent models are more likely to be useful in different project performance domains. While \nthe needs of the project, stakeholders, and organizational environment will determine which models \nare most applicable for a specific project, there are some performance domains that are more likely to make use of each model. Table 4-1 suggests the performance domain(s) where each model is most likely to be of use; however, the project manager and project team have the ultimate responsibility for selecting the right models for their project.\nPMI Seventh Edition July 2021173\nSection 4 – Models, Methods, and ArtifactsTable 4-1. Mapping of Models Likely to Be Used in Each Performance Domain\nPerformanc e Domai n\nMode l\nX \nX X X Team\nStakeholders\nDev Approach\nand Life Cycle\nPlanning\nProject Wo rk\nDelive ry\nMeasur emen t\nUncertainl y\nX \nX X X X X X X \nX X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX X \nX \nX \nX \nX \nX X X X X \nX X X X \nX X X X \nX X \nX \nX X \nX \nX \nX X \nX \nX \nX X \nX X \nX X Situational Leadership® II\nOSCAR\nCross-cultural communication\nEffectiveness of communication channelsGulf of execution and evaluation\nHygiene and motivation factors\nIntrinsic versus extrinsic motivationTheory of needsTheory X, Theory Y, and Theory Z\nManaging Change in OrganizationsADKAR\n®\n8-Step Process for Leading ChangeTransition\nCynefin framework\nStacey matrix\nTuckman Ladder\nDrexler/Sibbet Team Performance\nConflict\nNegotiationPlanningProcess GroupsSalienceSituational Leadership Models:\nCommunication Models:\nMotivation Models:\nChange Models:\nComplexity Models:\nProject Team Development Models:\nOther Models:\nPMI Seventh Edition July 2021174\nPMBOK® Guide4.4 COMMONLY USED METHODS\nA method is a means for achieving an outcome, output, result, or project deliverable. The \nmethods described here are a sampling of those commonly used to support project work. There are \nmany methods that are not described here, either because they are used in project management the same way they are in other disciplines, such as interviewing, focus groups, checklists, and so forth, or because they are not frequently used across a broad spectrum of projects (i.e., the methods are industry specific).\nMany of the methods are related by the purpose they serve, such as estimating or data gathering, \nand therefore, are presented in a group. Others are related by the type of activity involved, such as those in the meetings and analysis groups.\nThe content in this section is not meant to describe how a method is performed. The \ndescriptions are presented at a high level with more detailed information available from many sources, including PMIstandards+.\n4.4.1 DATA GATHERING AND ANALYSIS\nData gathering and analysis methods are used to collect, assess, and evaluate data and \ninformation to gain a deeper understanding of a situation. The outputs of data analysis may be organized and presented as one of the artifacts shown in Section 4.6.6. The data gathering and analysis methods described here, coupled with the artifacts described in Section 4.6.6, are often used to inform decisions.\n▶Alternatives analysis. Alternatives analysis is used to evaluate identified options in order\nto select the options or approaches to perform the work of the project.\n▶Assumption and constraint analysis. An assumption is a factor that is considered to\nbe true, real, or certain, without proof or demonstration. A constraint is a limiting factorthat affects the execution of a project, program, portfolio, or process. This form of analysisensures that assumptions and constraints are integrated into the project plans anddocuments, and that there is consistency among them.\nPMI Seventh Edition July 2021175\nSection 4 – Models, Methods, and Artifacts▶Benchmarking. Benchmarking is the comparison of actual or planned products, processes,\nand practices to those of comparable organizations, which identifies best practices,generates ideas for improvement, and provides a basis for measuring performance.\n▶Business justification analysis methods. This group of analysis methods is associated\nwith authorizing or justifying a project or a decision. The outcomes of the following analysesare often used in a business case that justifies undertaking a project:\n▹Payback period. The payback period is the time needed to recover an investment,usually in months or years.\n▹Internal rate of return (IRR). The internal rate of return is the projected annual yield\nof a project investment, incorporating both initial and ongoing costs into an estimatedpercentage growth rate a given project is expected to have.\n▹Return on investment (ROI). Return on investment is the percent return on an initial\ninvestment, calculated by taking the projected average of all net benefits and dividingthem by the initial cost.\n▹Net present value (NPV). Net present value is the future value of expected benefits,\nexpressed in the value those benefits have at the time of investment. NPV considerscurrent and future costs and benefits and inflation.\n▹Cost-benefit analysis. A cost-benefit analysis is a financial analysis tool used to determine\nthe benefits provided by a project against its costs.\n▶Check sheet. A check sheet is a tally sheet that can be used as a checklist when gatheringdata. Check sheets can be used to collect and segregate data into categories. Check sheetscan also be used to create histograms and matrices as described in Section 4.6.6.\n▶Cost of quality. The cost of quality includes all costs incurred over the life of the productby investment in preventing nonconformance to requirements, appraisal of the product orservice for conformance to requirements, and failure to meet requirements.\n▶Decision tree analysis. A decision tree analysis is a diagramming and calculation method\nfor evaluating the implications of a chain of multiple options in the presence of uncertainty.Decision trees can use the information generated from an expected monetary valueanalysis to populate the branches of the decision tree.\nPMI Seventh Edition July 2021176\nPMBOK® Guide▶Earned value analysis. Earned value analysis is a method that utilizes a set of measures\nassociated with scope, schedule, and cost to determine the cost and schedule performance\nof a project.\n▶Expected monetary value (EMV). The expected monetary value is the estimated value\nof an outcome expressed in monetary terms. It is used to quantify the value of uncertainty,such as a risk, or compare the value of alternatives that are not necessarily equivalent. TheEMV is calculated by multiplying the probability that an event will occur and the economicimpact the event would have should it occur.\n▶Forecast. A forecast is an estimate or prediction of conditions and events in the project’s\nfuture, based on information and knowledge available at the time of the forecast.Qualitative forecasting methods use the opinions and judgments of subject matter experts.Quantitative forecasting uses models where past information is used to predict futureperformance. Causal or econometric forecasting, such as regression analysis, identifiesvariables that can have significant impact on future outcomes.\n▶Influence diagram. This diagram is a graphical representation of situations showingcausal influences, time ordering of events, and other relationships among variables\nand outcomes.\n▶Life cycle assessment. This assessment is a tool used to evaluate the total environmental\nimpact of a product, process, or system. It includes all aspects of producing a projectdeliverable, from the origin of materials used in the deliverable to its distribution andultimate disposal.\n▶Make-or-buy analysis. A make-or-buy analysis is the process of gathering and organizing\ndata about product requirements and analyzing them against available alternatives such\nas the purchase versus internal manufacture of the product.\n▶Probability and impact matrix. A probability and impact matrix is a grid for mapping the\nprobability of occurrence of each risk and its impact on project objectives if that risk occurs.\n▶Process analysis. This analysis is a systematic review of the steps and procedures to\nperform an activity.\n▶Regression analysis. A regression analysis is an analytical technique where a series of\ninput variables are examined in relation to their corresponding output results in order todevelop a mathematical or statistical relationship.\nPMI Seventh Edition July 2021177\nSection 4 – Models, Methods, and Artifacts▶Reserve analysis. This analytical technique is used to evaluate the amount of risk on\nthe project and the amount of schedule and budget reserve to determine whether the\nreserve is sufficient for the remaining risk. The reserve contributes to reducing risk to anacceptable level.\n▶Root cause analysis. This analytical technique is used to determine the basic underlying\ncause of a variance, defect, or a risk. A root cause may underlie more than one variance,defect, or risk.\n▶Sensitivity analysis. This analytical technique is used to determine which individual project\nrisks or other sources of uncertainty have the most potential impact on project outcomes bycorrelating variations in project outcomes with variations in elements of a quantitative riskanalysis model.\n▶Simulations. This analytical technique uses models to show the combined effect of\nuncertainties in order to evaluate their potential impact on objectives. A Monte Carlosimulation is a method of identifying the potential impacts of risk and uncertainty usingmultiple iterations of a computer model to develop a probability distribution of a range ofoutcomes that could result from a decision or course of action.\n▶Stakeholder analysis. This technique involves systematically gathering and analyzing\nquantitative and qualitative information about stakeholders to determine whose interestsshould be taken into account throughout the project.\n▶SWOT analysis. A SWOT analysis assesses the strengths, weaknesses, opportunities, andthreats of an organization, project, or option.\n▶Trend analysis. A trend analysis uses mathematical models to forecast future outcomes\nbased on historical results.\n▶Value stream mapping. Value stream mapping is a lean enterprise method used to\ndocument, analyze, and improve the flow of information or materials required to produce\na product or service for a customer.\n▶Variance analysis. Variance analysis is used to determine the cause and degree of\ndifference between the baseline and actual performance.\n▶What-if scenario analysis. This analytical technique evaluates scenarios in order to\npredict their effect on project objectives.\nPMI Seventh Edition July 2021178\nPMBOK® Guide4.4.2 ESTIMATING\nEstimating methods are used to develop an approximation of work, time, or cost on a project.\n▶Affinity grouping. Affinity grouping involves classifying items into similar categories or\ncollections on the basis of their likeness. Common affinity groupings include T-shirt sizingand Fibonacci numbers.\n▶Analogous estimating. Analogous estimating assesses the duration or cost of an activity\nor a project using historical data from a similar activity or project.\n▶Function point. A function point is an estimate of the amount of business functionality inan information system. Function points are used to calculate a functional size measurement(FSM) of a software system.\n▶Multipoint estimating. Multipoint estimating assesses cost or duration by applying an\naverage or weighted average of optimistic, pessimistic, and most likely estimates whenthere is uncertainty with the individual activity estimates.\n▶Parametric estimating. Parametric estimating uses an algorithm to calculate cost or\nduration based on historical data and project parameters.\n▶Relative estimating. Relative estimating is used to create estimates that are derived from\nperforming a comparison against a similar body of work, taking effort, complexity, anduncertainty into consideration. Relative estimating is not necessarily based on absolute unitsof cost or time. Story points are a common unitless measure used in relative estimating.\n▶Single-point estimating. Single-point estimating involves using data to calculate a single\nvalue that reflects a best-guess estimate. A single-point estimate is opposed to a rangeestimate, which includes the best- and worst-case scenario.\n▶Story point estimating. Story point estimating involves project team members assigning\nabstract, but relative, points of effort required to implement a user story. It tells the projectteam about the difficulty of the story considering the complexity, risks, and effort involved.\n▶Wideband Delphi. Wideband Delphi is a variation of the Delphi estimating method where\nsubject matter experts complete multiple rounds of producing estimates individually, witha project team discussion after each round, until a consensus is achieved. For WidebandDelphi, those who created the highest and lowest estimates explain their rationale,following which everyone reestimates. The process repeats until convergence is achieved.Planning poker is a variation of Wideband Delphi.\nPMI Seventh Edition July 2021179\nSection 4 – Models, Methods, and Artifacts4.4.3 MEETINGS AND EVENTS\nMeetings are an important means for engaging the project team and other stakeholders. They \nare a primary means of communication throughout the project.\n▶Backlog refinement. At a backlog refinement meeting, the backlog is progressively\nelaborated and (re)prioritized to identify the work that can be accomplished in an\nupcoming iteration.\n▶Bidder conference. Meetings with prospective sellers prior to the preparation of a bid\nor proposal to ensure all prospective vendors have a clear and common understanding\nof the procurement. This meeting may also be known as contractor conferences, vendorconferences, or pre-bid conferences.\n▶Change control board. A change control board meeting includes the group of people\nwho are accountable for reviewing, evaluating, approving, delaying, or rejecting changesto the project. The decisions made at this meeting are recorded and communicated to theappropriate stakeholders. This meeting may also be referred to as a change control meeting.\n▶Daily standup. A standup is a brief collaboration meeting during which the project teamreviews its progress from the previous day, declares intentions for the current day, andhighlights any obstacles encountered or anticipated. This meeting may also be referred toas a daily scrum.\n▶Iteration planning. An iteration planning meeting is used to clarify the details of the\nbacklog items, acceptance criteria, and work effort required to meet an upcoming iterationcommitment. This meeting may also be referred to as a sprint planning meeting.\n▶Iteration review. An iteration review is held at the end of an iteration to demonstrate the\nwork that was accomplished during the iteration. This meeting may also be referred to as asprint review.\n▶Kickoff. A kickoff meeting is a gathering of project team members and other key\nstakeholders at the outset of a project to formally set expectations, gain a commonunderstanding, and commence work. It establishes the start of a project, phase,\nor iteration.\nPMI Seventh Edition July 2021180\nPMBOK® Guide▶Lessons learned meeting. A lessons learned meeting is used to identify and share the\nknowledge gained during a project, phase, or iteration with a focus on improving project\nteam performance. This meeting can address situations that could have been handledbetter in addition to good practices and situations that produced very favorable outcomes.\n▶Planning meeting. A planning meeting is used to create, elaborate, or review a plan orplans and secure commitment for the plan(s).\n▶Project closeout. A project closeout meeting is used to obtain final acceptance of the\ndelivered scope from the sponsor, product owner, or client. This meeting indicates that\nthe product delivery is complete.\n▶Project review. A project review meeting is an event at the end of a phase or a project\nto assess the status, evaluate the value delivered, and determine if the project is ready tomove to the next phase, or transition to operations.\n▶Release planning. Release planning meetings identify a high-level plan for releasing\nor transitioning a product, deliverable, or increment of value.\n▶Retrospective. A retrospective is a regularly occurring workshop in which participants\nexplore their work and results in order to improve both process and product.Retrospectives are a form of lessons learned meeting.\n▶Risk review. A meeting to analyze the status of existing risks and identify new risks.\nThis includes determining if the risk is still active and if there have been changes to therisk attributes (such as probability, impact, urgency, etc.). Risk responses are evaluatedto determine if they are effective or should be updated. New risks may be identifiedand analyzed and risks that are no longer active may be closed. Risk reassessment is anexample of a risk-review meeting.\n▶Status meeting. A status meeting is a regularly scheduled event to exchange and analyzeinformation about the current progress of the project and its performance.\n▶Steering committee. A meeting where senior stakeholders provide direction and support\nto the project team and make decisions outside of the project team’s authority.\nPMI Seventh Edition July 2021181\nSection 4 – Models, Methods, and Artifacts4.4.4 OTHER METHODS\nThe methods described in this section don’t fit into a specific category; however, they are \ncommon methods that are used for a variety of purposes on projects.\n▶Impact mapping. Impact mapping is a strategic planning method that serves as a visual\nroadmap for the organization during product development.\n▶Modeling. Modeling is the process of creating simplified representations of systems,\nsolutions, or deliverables such as prototypes, diagrams, or storyboards. Modeling canfacilitate further analysis by identifying gaps in information, areas of miscommunication,\nor additional requirements.\n▶Net Promoter Score (NPS®). An index that measures the willingness of customers to\nrecommend an organization’s products or services to others. The score is used as a proxyfor gauging the customer’s overall satisfaction with an organization’s product or service\nand the customer’s loyalty to the brand.\n▶Prioritization schema. Prioritization schema are methods used to prioritize portfolio,\nprogram, or project components, as well as requirements, risks, features, or other productinformation. Examples include a multicriteria weighted analysis and the MoSCoW (musthave, should have, could have, and won’t have) method.\n▶Timebox. A timebox is a short, fixed period of time in which work is to be completed,\nsuch as 1 week, 2 weeks, or 1 month.\n4.5 METHODS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent methods are more likely to be useful in each of the performance domains. While \nthe needs of the delivery approach, product, and organizational environment will determine which methods are most applicable for a specific project, there are some performance domains that are more likely to make use of specific methods. Table 4-2 suggests the performance domain(s) where each method is most likely to be of use; however, the project manager and/or project team have the ultimate responsibility for selecting the right methods for their project.\nPMI Seventh Edition July 2021182\nPMBOK® GuideTable 4-2. Mapping of Methods Likely to Be Used in Each Performance Domain\nPerformance Domain\nMethod\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainlyPlannin g\nData Gathering and Analysis Methods:\nAlternatives analysis\nAssumptions and constraints analysisBenchmarkingBusiness justification analysis\nPayback period\nInternal rate of returnReturn on investmentNet present valueCost-benefit ratio\nCheck sheetCost of qualityDecision tree analysisEarned value analysisExpected monetary valueForecastingInfluence diagramLife cycle assessmentMake-or-buy analysisProbability and impact matrixProcess analysisRegression analysisRoot cause analysisSensitivity analysisSimulationStakeholder analysisSWOT analysisTrend analysisValue stream mappingVariance analysisWhat-if scenario analysisX X \nX \nX \nX \nX \nX \nX X X \nX X \nX X \nX \nX X \nX X X \nX X X X \nX \nX \nX X \nX X \nX X \nX \nX X \nX \nX \nX X X X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX \nX \nX X X \nX X X X \nX \nX \nX X \nX \nPMI Seventh Edition July 2021183\nSection 4 – Models, Methods, and ArtifactsTable 4-2. Mapping of Methods Likely to Be Used in Each Performance Domain (cont.)\nPerformance Domain\nMethod\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainlyPlannin g\nEstimating Methods:\nMeeting and Event Methods:Affinity grouping\nAnalogous estimatingFunction pointsMultipoint estimatingParametric estimatingRelative estimatin g\nSingle-point estimatingStory point estimationWideband Delphi\nBacklog refinement\nBidder conferenceChange control boardDaily standupIteration reviewIteration planningKickoffLessons learnedPlanningProject closeoutProject reviewRelease planningRetrospectiveRisk reviewStatusSteering committee\nImpact mappingModelingNet Promoter Score\n®\nPrioritization schemaTimeboxOther Methods:X X X X X X X \nX \nX X X \nX X X \nX X \nX X X \nX \nX X \nX \nX \nX \nX X X X \nX X X X \nX X \nX X \nX X \nX \nX \nX X \nX \nX X \nX \nX \nX \nX \nX \nX X \nX \nX \nX X X \nX X X X \nX X \nX X \nX X \nX \nX X \nPMI Seventh Edition July 2021184\nPMBOK® Guide4.6 COMMONLY USED ARTIFACTS\nAn artifact is a template, document, output, or project deliverable. There are many documents \nor deliverables that are not described here, either because (a) they are somewhat generic, such as \nupdates; (b) they are industry specific; or (c) they are a result of a specific method that was used to create it, for example, while cost estimates are an important artifact, they are the result of various estimating methods.\nThe content in this section is not meant to describe how to develop or create an artifact. \nThe descriptions are presented at a high level as project managers and/or project team members are expected to tailor the use of these artifacts to meet the needs of their particular project. There is more detailed information on these and other artifacts from many sources, including PMIstandards+.\n4.6.1 STRATEGY ARTIFACTS\nDocuments that are created prior to or at the start of the project that address strategic, business, \nor high-level information about the project. Strategy artifacts are developed at the start of a project and do not normally change, though they may be reviewed throughout the project.\n▶Business case. A business case is a value proposition for a proposed project that may\ninclude financial and nonfinancial benefits.\n▶Business model canvas. This artifact is a one-page visual summary that describes the\nvalue proposition, infrastructure, customers, and finances. These are often used in leanstart-up situations.\n▶Project brief. A project brief provides a high-level overview of the goals, deliverables, and\nprocesses for the project.\n▶Project charter. A project charter is a document issued by the project initiator or sponsor\nthat formally authorizes the existence of a project and provides the project manager withthe authority to apply organizational resources to project activities.\n▶Project vision statement. This document is a concise, high-level description of the project\nthat states the purpose, and inspires the project team to contribute to the project.\n▶Roadmap. This document provides a high-level time line that depicts milestones, significantevents, reviews, and decision points.\nPMI Seventh Edition July 2021185\nSection 4 – Models, Methods, and Artifacts4.6.2 LOGS AND REGISTERS\nLogs and registers are used to record continuously evolving aspects of the project. They are \nupdated throughout the project. The terms log and register are sometimes used interchangeably. \nIt is not uncommon to see the term risk register\n or risk log referring to the same artifact.\n▶Assumption log. An assumption is a factor that is considered to be true, real, or certain,\nwithout proof or demonstration. A constraint is a factor that limits the options for managing\na project, program, portfolio, or process. An assumption log records all assumptions andconstraints throughout the project.\n▶Backlog. A backlog is an ordered list of work to be done. Projects may have a product\nbacklog, a requirements backlog, impediments backlog, and so forth. Items in a backlog areprioritized. The prioritized work is then scheduled for upcoming iterations.\n▶Change log. A change log is a comprehensive list of changes submitted during theproject and their current status. A change can be a modification to any formally controlleddeliverable, project management plan component, or project document.\n▶Issue log. An issue is a current condition or situation that may have an impact on the\nproject objectives. An issue log is used to record and monitor information on active issues.Issues are assigned to a responsible party for follow up and resolution.\n▶Lessons learned register. A lessons learned register is used to record knowledge gained\nduring a project, phase, or iteration so that it can be used to improve future performancefor the project team and/or the organization.\n▶Risk-adjusted backlog. A risk-adjusted backlog is a backlog that includes work and actions\nto address threats and opportunities.\n▶Risk register. A risk register is a repository in which outputs of risk management\nprocesses are recorded. Information in a risk register can include the person responsiblefor managing the risk, probability, impact, risk score, planned risk responses, and otherinformation used to get a high-level understanding of individual risks.\n▶Stakeholder register. A stakeholder register records information about project\nstakeholders, which includes an assessment and classification of project stakeholders.\nPMI Seventh Edition July 2021186\nPMBOK® Guide4.6.3 PLANS\nA plan is a proposed means of accomplishing something. Project teams develop plans for \nindividual aspects of a project and/or combine all of that information into an overarching project \nmanagement plan. Plans generally are written documents but may also be reflected on visual/ \nvirtual whiteboards.\n▶Change control plan. A change control plan is a component of the project management\nplan that establishes the change control board, documents the extent of its authority, anddescribes how the change control system will be implemented.\n▶Communications management plan. This plan is a component of the project, program,\nor portfolio management plan that describes how, when, and by whom information aboutthe project will be administered and disseminated.\n▶Cost management plan. This plan is a component of a project or program managementplan that describes how costs will be planned, structured, and controlled.\n▶Iteration plan. This plan is a detailed plan for the current iteration.\n▶Procurement management plan. This plan is a component of the project or program\nmanagement plan that describes how a project team will acquire goods and services fromoutside of the performing organization.\n▶Project management plan. The project management plan is a document that describes\nhow the project will be executed, monitored and controlled, and closed.\n▶Quality management plan. This plan is a component of the project or programmanagement plan that describes how applicable policies, procedures, and guidelines\nwill be implemented to achieve the quality objectives.\n▶Release plan. This plan sets expectations for the dates, features, and/or outcomes\nexpected to be delivered over the course of multiple iterations.\n▶Requirements management plan. This plan is a component of the project or program\nmanagement plan that describes how requirements will be analyzed, documented,\nand managed.\n▶Resource management plan. This plan is a component of the project management plan\nthat describes how project resources are acquired, allocated, monitored, and controlled.\n▶Risk management plan. This plan is a component of the project, program, or portfoliomanagement plan that describes how risk management activities will be structured\nand performed.\nPMI Seventh Edition July 2021187\nSection 4 – Models, Methods, and Artifacts▶Scope management plan. This plan is a component of the project or program\nmanagement plan that describes how the scope will be defined, developed, monitored,\ncontrolled, and validated.\n▶Schedule management plan. This plan is a component of the project or program\nmanagement plan that establishes the criteria and the activities for developing,\nmonitoring, and controlling the schedule.\n▶Stakeholder engagement plan. This plan is a component of the project management\nplan that identifies the strategies and actions required to promote productive involvementof stakeholders in project or program decision making and execution.\n▶Test plan. This document describes deliverables that will be tested, tests that will beconducted, and the processes that will be used in testing. It forms the basis for formallytesting the components and deliverables.\n4.6.4 HIERARCHY CHARTS\nHierarchy charts begin with high-level information that is progressively decomposed into \ngreater levels of detail. The information at the upper levels encompasses all the information at the lower or subsidiary levels. Hierarchy charts are often progressively elaborated into greater levels of detail as more information is known about the project.\n▶Organizational breakdown structure. This chart is a hierarchical representation of the\nproject organization, which illustrates the relationship between project activities and theorganizational units that will perform those activities.\n▶Product breakdown structure. This chart is a hierarchical structure reflecting a product’s\ncomponents and deliverables.\n▶Resource breakdown structure. This chart is a hierarchical representation of resources\nby category and type.\n▶Risk breakdown structure. This chart is a hierarchical representation of potential\nsources of risks.\n▶Work breakdown structure. This chart is a hierarchical decomposition of the total\nscope of work to be carried out by the project team to accomplish the project objectivesand create the required deliverables.\nPMI Seventh Edition July 2021188\nPMBOK® Guide4.6.5 BASELINES\nA baseline is the approved version of a work product or plan. Actual performance is compared \nto baselines to identify variances.\n▶Budget. A budget is the approved estimate for the project or any work breakdown\nstructure (WBS) component or any schedule activity.\n▶Milestone schedule. This type of schedule presents milestones with planned dates.\n▶Performance measurement baseline. Integrated scope, schedule, and cost baselines\nare used for comparison to manage, measure, and control project execution.\n▶Project schedule. A project schedule is an output of a schedule model that presents\nlinked activities with planned dates, durations, milestones, and resources.\n▶Scope baseline. This baseline is the approved version of a scope statement, work\nbreakdown structure (WBS), and its associated WBS dictionary that can be changed usingformal change control procedures and is used as the basis for comparison to actual results.\n4.6.6 VISUAL DATA AND INFORMATION\nVisual data and information are artifacts that organize and present data and information in \na visual format, such as charts, graphs, matrices, and diagrams. Visualizing data makes it easier to absorb data and turn it into information. Visualization artifacts are often produced after data have been collected and analyzed. These artifacts can aid in decision making and prioritization.\n▶Affinity diagram. This diagram shows large numbers of ideas classified into groups forreview and analysis.\n▶Burndown/burnup chart. This chart is a graphical representation of the work remainingin a timebox or the work completed toward the release of a product or project deliverable.\n▶Cause-and-effect diagram. This diagram is a visual representation that helps trace an\nundesirable effect back to its root cause.\n▶Cumulative flow diagram (CFD). This chart indicates features completed over time,features in development, and those in the backlog. It may also include features atintermediate states, such as features designed but not yet constructed, those in qualityassurance, or those in testing.\nPMI Seventh Edition July 2021189\nSection 4 – Models, Methods, and Artifacts▶Cycle time chart. This diagram shows the average cycle time of the work items completed\nover time. A cycle time chart may be shown as a scatter diagram or a bar chart.\n▶Dashboards. This set of charts and graphs shows progress or performance against\nimportant measures of the project.\n▶Flowchart. This diagram depicts the inputs, process actions, and outputs of one or more\nprocesses within a system.\n▶Gantt chart. This bar chart provides schedule information where activities are listed on thevertical axis, dates are shown on the horizontal axis, and activity durations are shown\nas horizontal bars placed according to start and finish dates.\n▶Histogram. This bar chart shows the graphical representation of numerical data.\n▶Information radiator. This artifact is a visible, physical display that provides information\nto the rest of the organization, enabling timely knowledge sharing.\n▶Lead time chart. This diagram shows the trend over time of the average lead time of theitems completed in work. A lead time chart may be shown as a scatter diagram or a bar chart.\n▶Prioritization matrix. This matrix is a scatter diagram where effort is shown on the\nhorizontal axis and value on the vertical axis, divided into four quadrants to classify items\nby priority.\n▶Project schedule network diagram. This graphical representation shows the logical\nrelationships among the project schedule activities.\n▶Requirements traceability matrix. This matrix links product requirements from their\norigin to the deliverables that satisfy them.\n▶Responsibility assignment matrix (RAM). This matrix is a grid that shows the project\nresources assigned to each work package. A RACI chart is a common way of showingstakeholders who are responsible, accountable, consulted, or informed and are associatedwith project activities, decisions, and deliverables.\n▶Scatter diagram. This graph shows the relationship between two variables.\n▶S-curve. This graph displays cumulative costs over a specified period of time.\n▶Stakeholder engagement assessment matrix. This matrix compares current and\ndesired stakeholder engagement levels.\nPMI Seventh Edition July 2021190\nPMBOK® Guide▶Story map. A story map is a visual model of all the features and functionality desired for\na given product, created to give the project team a holistic view of what they are buildingand why.\n▶Throughput chart. This chart shows the accepted deliverables over time. A throughputchart may be shown as a scatter diagram or a bar chart.\n▶Use case. This artifact describes and explores how a user interacts with a system toachieve a specific goal.\n▶Value stream map. This is a lean enterprise method used to document, analyze, andimprove the flow of information or materials required to produce a product or service for\na customer. Value stream maps can be used to identify waste.\n▶Velocity chart. This chart tracks the rate at which the deliverables are produced, validated,\nand accepted within a predefined interval.\n4.6.7 REPORTS\nReports are formal records or summaries of information. Reports communicate relevant \n(usually summary level) information to stakeholders. Often reports are given to stakeholders who are interested in the project status, such as sponsors, business owners, or PMOs.\n▶Quality report. This project document includes quality management issues,\nrecommendations for corrective actions, and a summary of findings from quality controlactivities. It may include recommendations for process, project, and product improvements.\n▶Risk report. This project document is developed progressively throughout the risk\nmanagement processes and summarizes information on individual project risks and thelevel of overall project risk.\n▶Status report. This document provides a report on the current status of the project.\nIt may include information on progress since the last report and forecasts for cost andschedule performance.\nPMI Seventh Edition July 2021191\nSection 4 – Models, Methods, and Artifacts4.6.8 AGREEMENTS AND CONTRACTS\nAn agreement is any document or communication that defines the intentions of the parties. \nIn projects, agreements take the form of contracts or other defined understandings. A contract is \na mutually binding agreement that obligates the seller to provide the specified product, service, or result and obligates the buyer to pay for it. There are different types of contracts, some of which fall within a category of fixed-price or cost-reimbursable contracts.\n▶Fixed-price contracts. This category of contract involves setting a fixed price for a\nwell-defined product, service, or result. Fixed-price contracts include firm fixed price (FFP),fixed-price incentive fee (FPIF), and fixed price with economic price adjustment (FP-EPA),among others.\n▶Cost-reimbursable contracts. This category of contracts involves payments to the seller\nfor actual costs incurred for completing the work plus a fee representing seller profit. Thesecontracts are often used when the project scope is not well defined or is subject to frequentchange. Cost-reimbursable contracts include cost plus award fee (CPAF), cost plus fixed fee(CPFF), and cost plus incentive fee (CPIF).\n▶Time and materials (T&M). This contract establishes a fixed rate, but not a precisestatement of work. It can be used for staff augmentation, subject matter expertise,\nor other outside support.\n▶Indefinite delivery indefinite quantity (IDIQ). This contract provides for an indefinitequantity of goods or services, with a stated lower and upper limit, and within a fixedtime period. These contracts can be used for architectural, engineering, or informationtechnology engagements.\n▶Other agreements. Other types of agreements include memorandum of understanding\n(MOU), memorandum of agreement (MOA), service level agreement (SLA), basic orderingagreement (BOA), among others.\nPMI Seventh Edition July 2021192\nPMBOK® Guide4.6.9 OTHER ARTIFACTS\nThe documents and deliverables described here do not fit into a specific category; however, \nthey are important artifacts that are used for a variety of purposes.\n▶Activity list. This document provides a tabulation of schedule activities that shows the\nactivity description, activity identifier, and a sufficiently detailed scope of work description\nso project team members understand what work is to be performed.\n▶Bid documents. Bid documents are used to request proposals from prospective sellers.Depending on the goods or services needed, bid documents can include, among others:\n▹Request for information (RFI),\n▹Request for quotation (RFQ), and\n▹Request for proposal (RFP).\n▶Metrics. Metrics describe an attribute and how to measure it.\n▶Project calendar. This calendar identifies working days and shifts that are available\nfor scheduled activities.\n▶Requirements documentation. This document is a record of product requirements and\nrelevant information needed to manage the requirements, which includes the associatedcategory, priority, and acceptance criteria.\n▶Project team charter. This document records the project team values, agreements,\nand operating guidelines, and establishes clear expectations regarding acceptable behaviorby project team members.\n▶User story. A user story is a brief description of an outcome for a specific user, which\nis a promise of a conversation to clarify details.\n4.7 ARTIFACTS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent artifacts are more likely to be useful in different performance domains. While the \ndelivery approach, product, and organizational environment will determine which artifacts are most applicable for a specific project, there are some performance domains that are more likely to make use of specific artifacts. Table 4-3 suggests the performance domain(s) where each artifact is more likely to be of use; however, the project manager and/or project team has the ultimate responsibility for selecting and tailoring the artifacts for their project.\nPMI Seventh Edition July 2021193\nSection 4 – Models, Methods, and ArtifactsTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain\nPerformance Domain\nArtifact\nAssumption log\nBacklogChange logIssue logLessons learned registerRisk-adjusted backlogRisk registerStakeholder register\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nBusiness caseProject briefProject charterProject vision statementRoadmap\nChange control planCommunications management planCost management planIteration planProcurement management planProject management planQuality management planRelease planRequirements management planResource management planRisk management planScope management planX X \nX X \nX X X X \nX X \nX X X X X \nX X X \nX X \nX X \nX X X X X X X \nX \nX X X X X X X X X X X X X X X X \nX X \nX X \nX \nX X X X \nX X Log and Register Artifacts:\nPlan Artifacts:Strategy Artifacts:\nPMI Seventh Edition July 2021194\nPMBOK® GuideTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain (cont.)\nBudget\nMilestone schedulePerformance measurement baselineProject scheduleScope baselineOrganizational breakdown structure\nProduct breakdown structureResource breakdown structureRisk breakdown structureWork breakdown structure\nAffinity diagramBurn chartCause-and-effect diagramCycle time chartCumulative flow diagramDashboardFlow chartGantt chartHistogramInformation radiatorLead time chartPrioritization matrixPerformance Domain\nArtifact\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nBaseline Artifacts:\nVisual Data and Information Artifacts:Hierarchy Chart Artifacts:Schedule management plan\nStakeholder engagement planTest plan\nX X X \nX X \nX X X \nX X \nX X \nX X \nX X X \nX X \nX X \nX X X X X X X X X \nX X \nX X X X X \nX X \nX \nX \nX X \nX X X X \nX \nX \nX \nX X X \nX \nX X \nX X \nX X X \nX X X X \nX X X X \nPMI Seventh Edition July 2021195\nSection 4 – Models, Methods, and ArtifactsTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain (cont.)\nPerformance Domain\nArtifact\nQuality report\nRisk reportStatus report\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nFixed-priceCost-reimbursableTime and materialsIndefinite time indefinite quantity (IDIQ)Other agreementsAgreements and Contracts:Project schedule network diagram\nRequirements traceability matrixResponsibility assignment matrixScatter diagramS-curveStakeholder engagement assessment matrixStory mapThroughput chartUse caseValue stream mapVelocity chart\nReport Artifacts:\nOther Artifacts:\nActivity list\nBid documentsMetricsProject calendarsRequirements documentationProject team charterUser storyX \nX X \nX X X \nX X X X \nX \nX X \nX \nX X X \nX X X \nX \nX X X X \nX X \nX X \nX X X X \nX X X X \nX \nX X X \nX X \nX X X X \nX X X \nX \nX \nX X X \nX X \nX X \nX \nX X \nX X X X \nX \nX \nX \nX X X X X X X X \nX X X X X \nX X \nX \nPMI Seventh Edition July 2021196\nPMBOK® GuideREFERENCES\n[1] Project Management Institute. 2020. The Standard for Project Management. Newtown Square,\nPA: Author.\n[2] Project Management Institute. 2019. The Standard for Earned Value Management. Newtown Square,\nPA: Author.\nPMI Seventh Edition July 2021197\nAppendix X1Appendix X1\nContributors and Reviewers of \nThe Standard for Project Management and \nA Guide to the Project Management Body \nof Knowledge\n – Seventh Edition\nThe Project Management Institute is grateful to all of the contributors for their support and \nacknowledges their outstanding contributions to the project management profession.\nX1.1 CONTRIBUTORS\nThe following list of contributors had input into shaping the content of the standard and/or the \nguide. Individuals listed in bold served on the PMBOK® Guide – Seventh Edition Development Team. \nInclusion of an individual’s name in the list does not represent his or her approval or endorsement \nof the final content in all its parts.\nCynthia Snyder Dionisio, Chair, \nMBA, PMI-ACP, PMP\nMichael Griffiths, Cochair, PMI-ACP, PMP\nNicholas Clemens, PMI-ACP, PMPJean Luc Favrot, PMI-ACP, PMP, SPC5Jesse Fewell, CST, PMI-ACP, PMPEmily Jingjing Hu, MPM, PRINCE2, PMPBetsy Kauffman, PMI-ACP, PMP, ICP-ACCNader K. Rad, PMPGiampaolo Marucci, PhD, PMI-ACP, \nPMP, CSM\nKlaus Nielsen, MBA, PMI-ACP, PMPMaria Specht, MSc, PMP, NLPMaricarmen Suarez, MBA, PMP, PgMPLaurent Thomas, PhD, SPC, PMI-ACP, PMPJorge Federico Vargas Uzaga, PMPMike Cooley, CSM, SCPM, PMPDiana E. A.García SánchezCarlos Gonzalez BejaranoVenkatram Vasi MohanvasiMarwan Abdalla, MBA, PMI-RMP, PMPAbdalla Yassin Abdalla Mohammed, \nEng, MBA, PMI-RMP, PMP\nMajed Abdeen, MSc, PMP, TOGAFHabeeb Abdulla, MS, CSM, PMPTetsuhide Abe, PMPAli Abedi, PhD, CSM, PMI-ACP, PMPCarlos Acuña, PMP, PgMP, PfMPRenee Adair, PMPAlbert Agbemenu, MSc, PMPKevin Aguanno, CMC, PMI-ACP, PMPFawad Ahmad Khan, PMI-PBA, PMPPrescort Leslie Ahumuza, Agile SM, CAPM, PMPAli Akbar Forouzesh NejadPhil AkinwaleEmi Akiode, PMPTarik Al Hraki, MBA, PMI-RMP, PMPAhmed Alageed, PhD, PMI-ACP, PMPRuqaya Al Badi, PMPFrancesco Albergo, PMP\nPMI Seventh Edition July 2021198\nPMBOK® GuideAmer Albuttma, PMI-SP, PMP\nMohamed Aldoubasi, Eng, MBA, PMI-RMP, PMPEmad Al Ghamdi, Eng, EMBA, PMPAhmed Ali Eziza, Eng, PMP, IPMO-EMehdi Alibakhshi, PMI-PBA, PMPHammam Alkouz, MBA, PMI-RMP, PMPMichel Allan, MBA, PMI-RMP, PMPSonja Almlie, CCBA, PMI-ACP, PMPAhmad Al-Musallami, PMI-ACP, PMI-SP, PMPMoajeb Almutairi, PMPHusain Al-Omani, PMP, PgMP, PfMPAhmed Alsenosy, PHD, PMP, PgMP, PfMPMohand Alsikhan, PMP, CISMAbdulrahman Alulaiyan, MBA, CCMP, PMPCarlos Alvarez G., PMPJaime Andres Alvarez Ospina, \nMBA, PMI-RMP, PMP\nNahlah Alyamani, PMI-ACP, PMP, PgMPAngelo Amaral, PSM, PMI-ACP, PMPShahin Amiri, MBA, PMPSerge Amon, MBA, PMPAnabella Amoresano, PMPAshwani Anant, PMI-RMP, PMI-SP, PMPFilipy Henrique Bonfim Andrade, Eng, GPjr, PMPDavid AnyachoCharalampos Apostolopoulos, PhD, PgMP, PfMPAlejandro Gabriel Aramburu, PMPChristine ArasKenichiro Aratake, PMPViviane Arazi, PMP, PgMPEileen ArnoldReza Atashfaraz, MSc, PMPSivaram Athmakuri, PMP, PMI-ACP, PMI-PBASharaf Attas, PMI-RMP, PMPCarlos Augusto Freitas, CAPM, PMPShahin Avak, PMPZaheer Ahmad Awan, CSM, PMI-ACP, PMPKhaled Azab, ITIL4, PMPVahid Azadmanesh, DBA, PMP, PfMPEmad E. Aziz, PMP, PgMP, PfMPAkbar Azwir, PMO-CP, PMI-SP, PMPOsama Azzam, HBDP, ICYB, PMPNabeel BabekerAmgad Badewi, PhD, MSP, AP, PMPAmir Bahadorestani, RA, TAKenneth Bainey, MBA, CCP, PMPJardel BaldoKristi Baldwin, RYT, PMPPablo Bálsamo, PMI-RMP, PMI-SP, PMPZhang Baozhong, MSc, PMP, PgMPManuel F. Baquero V., PhD, MSc, PMPHaytham Baraka, PMI-RMP, PMP, CCPMohammad Moneer Barazi, MBA, PMPMaria Cristina Barbero, MBA, PMI-ACP, PMPAndre Barcaui, PhD, PMI-ACP, PMPAmalia Barthel, PMPSaeed BaselmEduardo Bazo Safra, Mg, PMPPierre Beaudry, Jr., MGP, CSM, PMPGregory Becker, PMPMartial Bellec, PMI-ACP, PMP, PgMPPeter Berndt de Souza Mello, PgC, PMI-SP, PMPRafael Beteli Silva Zanon, MBA, PMI-PBA, PMPJeff Beverage, CSP-SM, PMI-ACP, PMPShantanu Bhamare, CSM, LIMC, PMPAjay Bhargove, BE, PGDBA, PMPSanjoy Bhattacharjee, MSBIA, PMI-ACP, PMPDeepa Bhide, PhD, PMPŞafak Bilgi AkdemirMohammed Bin Askar, PMP, PgMP, PfMPNigel Blampied, PhD, PE, PMPGreta Blash, CDAI, PgMP, PMI-PBAStephen BlashGisela Bolbrügge, PhD, PSM1, PMPKiron Bondale, PMI-ACP, PMI-RMP, PMPSimona Bonghez, PhD, PMPMariana Borga, MBA, LSSBB, PMPRaul Borges, PMPDavid Borja Padilla, MSc, PMI-RMP, PMPBoshoff, PMP, PRINCE2, AgilePMMiguel A. Botana Cobas, MBA, PMPPieter Botman, EngRodolphe Boudet, PMPFarid BougesBetty Boushey, PMPYounes Bousnah, MBA, PMPAndrea BoxsleyBlaine Boxwell, MBA, PMPJoan BoyadjmanPadmakar Boyapati, PMPDidier Brackx, PhD, EMS, P3O, PMPLeslie Bradshaw\nPMI Seventh Edition July 2021199\nAppendix X1Damiano Bragantini, PMP\nFabio Braggio, MBA, PMPEllie Braham, AOP, PMPFernando Brandão, PMPJim Branden, MBA, PMPWayne R. Brantley, MSEd, PMI-ACP, PMPMyrna Bravo, PMPBernd BrierAna Briseño, MTIA, PMPSyed Asad Hasnain Bukhari, MBA, MIS, PMPSyed Qamar Abbas Bukhari, MBA, MSPM, PMPGizem BuluRev. Andy Burns, CDAI, PMI-ACP, PMPRobert Buttrick, BEng, CEng, FAPM HonDieter Butz, PhD, PMPKarl Buxton, PMPAndrea Caccamese, PRINCE2, PMPRoberto A. Cadena Legaspi, MCI, PMPFeren Calderwood, MSc, PMPSaverio Calvano, MSc, PMPDiego Calvetti, MSc, PMPLuis Alberto Cordero-Calvo, MPM, PMPAdrien Camp, MEng, PMI-ACP, PMPBryan Campbell, PMI-ACP, PMP, PgMPCharles Campbell, PhD, PMPHeberth Campos, PMI-ACP, PMI-RMP, PMPRicardo P. Cantú, MBA, MSc, PMPAlexandre Caramelo Pinto, MSc, TOGAF, PMPAndrea Carbert, PMP, PMI-ACPCheryl Carstens, CAPM, PMPChris Cartwright, MPMLaura Solano De CarvalhoPietro Casanova, PMPShoshanna CasterLarry Cebuano, PMPManu Chandrashekhar, PMPPaul C. Charlesraj, MS, MRICS, AMASCEPanos Chatzipanos, PhD, FASCE, D.WRENguyen Si Trieu Chau, PMP, PgMP, PfMPJing ChenLily Chen, PMPKarl Cheney, PMP, MPM, MPARamesh Chepur, CSQA, PRINCE2, PMPMona ChevisOussama Chriss, PMPJorge Clemente, CPA, PMPXavier Clerfeuille, MSc, NLPAshley Cometto, MBASergio Luis Conte, PhD, PMI-PBA, PMI-ACP, PMPCarlos Contreras G., CSM, CSPO, PMPHelio CostaPathica CoulatThaigo CristoJoshua Cunio, CPD, LSSBB, PMPJoseph Czarnecki, SCPM, PMPAlexandre Venâncio da SilvaLong Dam, PMP, PgMP, PfMPGraziella D'Amico, CBAP, PMI-PBA, PMPFarshid Damirchilo, MSc, PMPTeodor Darabaneanu, PMPRussell Darnall, DM, MPM, PMPYazmine Darcy, MBA, PMI-ACP, PMPKaustav Das, MCP, PMPGina Davidovic, PMP, PgMPCurtis DavisJosé de Franca, PMPViviane de Paula, PMPMichael DeCicco, CSM, PMPMustafa Degerli, PhD, PSM, PMI-RMP, PMPMurat DengizValerie Denney, DBA, PMPSaju Devassy, MBA, POPM, PMPYaso Dhatry Kala, LSSMBBPhilip DiabMichelle Gois Gadelha DiasDanil DintsisGilberto Francisco Do Vale, MBA PMRoland Doerr, MBA, CSM, PMPMustafa Donmez, PMPBala Doppalapudi, MBA, B.Tech, PMPJorge A. Dueñas Lozano, VMA, PMPJosée Dufour, PMPDarya DumaEunice Duran, PMP, PgMP, PfMPArijit Dutt, PMPValecia Dyett, PhD, PMPNicolas Egiaian, PMPBechir El HosniSalwa El Mesbahi, PMPClaude El Nakhel Khalil, \nPharmD, MBA, PMP\nAbdulrahman Eldabak, PMP\nPMI Seventh Edition July 2021200\nPMBOK® GuideRafik Eldaly\nSameh Eldeeb Thabet Wahba, \nEng, CPMC, PMC, PMP\nAhmed Eldeep, PMI-RMP, PMPWalla Siddig Elhadey Mohamed, \nPMI-ACP, PMI-RMP, PMP\nAhmed Elhakim, PMI-RMP, PMPOsman Elhassan, MBA, PMI-RMP, PMPAileen Ellis, CSM, PMP, PgMPWael Elmetwaly, PMI-ACP, PMPKhaled El-Nakib, MSc, PMI-RMP, PMPBasel El-Saady, PMPConstance EmersonAlgin Erozan, MSc, PMPFernando Escobar, MSc, PMPBehnam FaizabadiDelphine Falcoz, PMPSaurater (Sam) Faraday, \nMBA, PMI-ACP, PMI-RMP\nJamil FarajFereydoun Fardad, PMI-PBA, PMI-RMP, PMPJason FarleyJohn Farlik, DBA, PMI-ACP, PMPScott, Fass, MPA, PMPEdoardo Favari, PhD, PMPAmr Fayez Moustafa, Eng, SFC, SSYB, PMPZhang FengxiaoFelipe Fernandes Moreira, PMPRafael Fernando Ronces RosasGail Ferreira, PhD, SPC5, PMPCornelius Fichtner, CSM, PMPWilliam FlanaganLuis Alberto Flores, PhD, PMI-ACP, PMI-RMP, PMPGustavo Flouret, DBA, PMPLes Foley, MPM, MBA, PMPMitchell Fong, PEng, PMPLuis Eduardo Franca, PMO-CP, PMI-ACP, PMPKellen Sabrina Rodrigues Francisco, \nMBA, PSM I, PMP\nDouglas FrancoCarla FrazierMichael Frenette, SMC, ITCP, PMPRay Frohnhoefer, MBA, CCP, PMPMichelle FualeSteven Fullmer, MBA, CQ, PMPJeff Furman, CompTIA, CTT+, PMPNestor Gabarda Jr., ECE, PMI-ACP, PMPMarius Gaitan, Eng, PMI-PBA, PMPZsolt G. Gálfalvi, MSP, SCM, PRINCE2Sara Gallagher, PSM1, PMPJuan Gabriel Gantiva Vergara, \nPMI-ACP, PMI-RMP, PMP\nNapoleon Garde, PMPArtur Gasparyan, CSM, PMO-CP, PMPLouis-Charles GauthierEng. Fabio Gentilini, Eng, CAPM, PMPPaul Geraghty, BBS, CPMAKian Ghadaksaz, EVP, PMI-SP, PMPOmar Ghazi Ahmad, PMD Pro, MCAD, PMPArijit Ghosh, PGDBA, BComSubhajit Ghosh, PMI-ACP, PMP, PgMPHisham Ghulam, Eng, MBA, PMI-ACP, PMPPaul D. Giammalvo, PhD, MScPM, CCECarl M. Gilbert, PMI-ACP, PMP, PfMPTheofanis Giotis, MSc, PMI-ACP, PMPJörg Glunde, PMI-ACP, PMPDhananjay GokhaleHenrique Gomes da SilvaHerbert G. Gonder, IPMA B, ACE, PMPJaime González Vargas, PMPDiego Goyes Mosquera, MSc, PMPFalko Graf, MA, CMC, PMPIvan Graff, PE, CCP, PMPDenis Gritsiyenko, PhD, PMPPier Luigi Guida, PMS, PMP, PgMAntun GuidoniNagaraja Gundappa, MTech, CSM, PMPNandakumar Guruswamy, PMP, PgMPAnil Guvenatam, PMI-ACP, PMPMohamed Hamad Elneel, Eng, PMPNagy Hamamo, MSP, MoP, PMPKarishma Hans, MBA, PMPSharad HaraleSimon HarrisLaura HartMahmoud Hassaballa, \nEng, CVS, 6SigmaGB, PMP\nAkram Hassan, PMI-RMP, PMPHossam Hassan Anwar, \nMEng, PM, PMI-RMP, PMP\nShane Hastie, MIM, ICE-AC, ICE-PODamah Haubner\nPMI Seventh Edition July 2021201\nAppendix X1Hironori Hayashi, PMI-PBA, PMP, PfMP\nKristine Hayes Munson, CIA, CISM, PMPBin He, PMI-ACP, PMPAntonio Hernández Negrete, MBA, CSM, PMPAbel Herrera Sillas, DM, PMPSergio Herrera-Apestigue, P3O, PRINCE2, PMPShirley Hinton, PMI-ACP, PMPKenji Hiraishi, MsE, PMPMichael HoffpauirAlberto Holgado, MBAEden Holt, PMPRegina Holzinger, PhD, PMPGeorge Hord, PMPGheorghe Hriscu, CGEIT, PMPZayar Htun, ICM.PM, AGTI.ITVaretta Huggins, MS(IST), PMP, PgMPRitchie Hughes, CSM, CSPO, PMPEdward Hung, MBA, PMI-ACP, PMPDavid J. L. Hunter, MA, PMI-ACP, PMPSherif Hussein, PMP, PgMP, PfMPMohammed Elfatih Hussien Ibrahim, \nEng, MBA, PMI-RMP, PMP\nHany I. Zahran, SAMC, SSYB, VCA-DCVShuichi Ikeda, CBAP, CSM/CSPO, PMPDmitrii Ilenkov, PMPMuhammad A. B. Ilyas, PMI-ACP, PMP, PgMPAndrea Innocenti, CGEIT, PMPSuhail Iqbal, PMP, PgMP, PfMPIlya Ivanichkin, CSM, CSPO, PMPRavi Iyer, MS (M&E), MBA, PECan Izgi, PMPTony Jacob, C Eng, PMI-PBA, PMPMd Javeed, BE, PMPSuresh JayappaSrini Jeyakumar, PEng, PMPGreeshma Johnson, CSM, PMPJohn JohnsonTony Johnson, CSP, PgMP, PfMPGeorge Jucan, MBA, CMP, PMPJonathan Justus, MBA, BCA, PMPRami Kaibni, Eng, CBAP, PfMPOrhan Kalayci, ITIL, DevOps, PMPSinbong Kang, PhD, PMPAntoine Karam, PMP, PMI-RMPAlankar Karpe, PMI-ACP, PMPAras Kartouzian, PhDNaoki KasaharaRohit Kathuria, P.Eng, PMPNikhil Srinivasan Kaundinya, PMPRachel KeenGretta Kelzi, CTT+, EADA, PMPHarry Kendrick, MPM, CSM, PMPSuhail Khaled, CSM, PMI-ACP, PMPMohamed Khalifa, PMP, PgMP, PfMPMehran KhalilnejadiAlexander KhaydarovDiwakar Killamsetty, CSM, PMPAriel Kirshbom, CSP, PMI-ACP, PMPHiroshi KiseAparna R. Kishore, MCA, CSM, PMPKonstantinos Kirytopoulos, \nDr Eng, MEng, PMP\nHadi KiyoumarsiHenry Kondo, PMP, PgMP, PfMPSteven Kopischke, MSPM, ITIL, PMPMarkus Kopko, PMP, PSMMaciej Koszykowski, PgMP, PMP, PMI-RMPSrikanth KotaRouzbeh Kotobzadeh, PMI-ACP, PMP, PfMPKevin Kovalic, MCP, CSSGB, PMPWayne KremlingMohsen Krichi, Eng, COBIT, ITIL 4, PMPRavindrakumar Kshirsagar, SPC, PMP, PgMPAshis Kumar GargKathy KuypersThierry Labriet, Prosci, PMPCédric Laffitte, PMPMarylene Lafon, PMPMarc LafontrinzHarisha Lakkavalli, PMP, PgMP, PfMPG Lakshmi Sekhar, PMI-PBA, PMI-SP, PMPArun Lal, PMPSoheil Lamei, PhD, PMP, PgMP, PfMPHagit Landman, MBA, PMI-SP, PMPOlivier Lazar, PMP, PgMP, PfMPChia Kuang Lee, PhD, CQRM, PMPOliver F. Lehmann, MSc, ACE, PMPRaman Lemtsiuhou, PSM II, PMPHarvey LevineRichard Lewis, MBA, PMPBing Li, PMPXujie Liang\nPMI Seventh Edition July 2021202\nPMBOK® GuideMei Lin, PMI-ACP, PMI-PBA, PMP\nKong Linghai, MD, PMPAn LiuKai LiuHaishan LiuTong LiuPablo Lledó, MSc, MBA, PMPAnand Lokhande, PSM, PMI-PBA, PMPStefania Lombardi, PhD, PMPCarlos López Javier, MBA, ME, PMPMarisa Andrea Lostumbo, MScPM, PMPHugo K. M. Lourenço, PMI-ACP, PMI-RMP, PMPSérgio Lourenço, PMI-RMP, PMPErin Danica Lovell, MBA, BRMP, PMPSophie Lowery, MBA, PMPPaolo LucenaFrancesco Ludovico, Eng, PMPSergio Oswaldo Lugo, MBA, SSMC, PMPIonel LumezianuMichele LuscianoAzam M. Zaqzouq, MCT, PMPM. Bhuvaneswari, BEAlejandro MacedaJan Magdi, MScGanesh Mahalingam, CSM, PMPPatrick Maillard, MBA, PMPAbhijit Maity, CBAP, PMP, PgMPKieran Major, MBA, PMPRichard Maltzman, PMPArun Mandalika, PMI-ACP, PMPHussam Mandil, MBA, PMI-ACP, PMPNicole Mangona, PMPNandhini Manikhavel, CSM, MBA, CAPMRasa Manikkam, PMPErasma Mariano, ESP GP, ICP, ITILAntonio Marino, Eng, PSM, PMI-ACP, PMPPhotoula Markou-Voskou, PMPOrlando Marone, PMI-ACP, PMPBernardo Marques, PMI-ACP, PMI-RMP, PMPLucía Márquez de la Plata, MBA, ACC, PMPDouglas Martin, CSP-SM, PMI-ACP, PMPCesar Ulises Martinez Garcia,\nSAFe SSM, PMI-ACP, PMP\nMercedes Martinez Sanz, PMPUlises MartinsRonnie Maschk, ASM, PMI-ACP, PMPFaraz Masood, MS-EE, MBA, PMPAbid Masood Ali, EngPuian Masudi Far, PhD, PMPMayte Mata Sivera, PMPTodd Materazzi, PMI-ACP, PMPKomal Mathur, PMP, CSMMohit Mathur, PMPCristiane da Silva MatosDavid Maynard, MBA, PMPDavid McDonald, MA, MBA, CSPOJon McGlothian, MBA, PMI-ACP, PMPAlain Patrick Medenou, MSc, PRINCE2, PMPMaite Meijide Montes, MS-Eng, MBA, PMPOrlando Mendieta, CSM, KMP I, PMPHamed MesinehaslMohamed MH. Elfouly, PhD, P, PMPLubomira Mihailova, MBA, MSP, PMPGloria J. Miller, PMI-ACP, PMPVladimir Mininel, PMPManuel Minute, CPIM, CGEIT, PMPAmr Miqdadi, CIPM, PMPNick Mirabella, PSNIKunihiko MishimaDavid E. Mitchell, PMPStephanie MoffattWolf Dieter Moggert, PMI-ACP, PMI-PBA, PMPWalid Mohamed AhmedEman Mohamed El Rashidy, PMP, PgMPOmar Mohamed Sallam, PMI-RMP, PMI-SP, PMPIslam Mohamed Soliman, Eng, PMPAhmed Ishage Mohammed Musa, \nMBA, PMI-RMP, PMP\nShoeb Mohammed Nadeem Uddin, PMPMohamed Mohsen Mohamed Hussein, PMPJose Morales, DBA, PMPPaola Morgese, PMPAlessandro Moro, PSM-I, PMPChuck Morton, CSM, PMI-ACP, PMPHenrique Moura, PMI-ACP, PMI-RMPNitin Mukesh, PMPGaurav Mukherjee, CSM, PMPStephen MurefuWanja Murekio, MBA, PMPJennifer Murphy, B.Comm(Int), MBS, MScSyed Ahsan Mustaqeem, PE, PMPYassir Nagy, PMI-ACP, PMP, PgMP\nPMI Seventh Edition July 2021203\nAppendix X1Devan Naidu, MBA, PMP, PfMP\nBrijesh Nair, CEng, PMP, PgMPAsaya Nakasone, PMPSaed Namazi, MBA, PRINCE2, PMPSareesh NarayananSripriya V Narayanasamy, MCA, PMPZabihollah NasehiFaig Nasibov, PMPMahmoud Nasr, Eng., MSc, CPMAsad Naveed, MS-Eng, MEF-CECP, PMPKarthikeyan NB, MCA, CSM, PMPGundo Nevhutalu, MSc, PMPKian Ching Ng, MSc, PMPSam NicholsonEric Nielsen, PMP, CDAManisha Nigam, CSM, TOGAF 9, PMPAleksei Nikitin, PMI-ACP, PMI-RMP, PMPMohammad Ali Niroomand Rad, MArch, PMPJose Noguera, 6SBB, CSP0, PMPMichael Nollet, MBA, PMI-ACP, PMPEric Norman, PMP, PgMP, FellowPatryk Nosalik, EMBA, AgilePM, PMPToru Oda, PMPAntonio Oliva González, SMPC, SCPO, PMPErnesto OlivaresMatheus Angelini Vidigal de OliveiraTiago Chaves Oliveira, PMPAntonio Olivieri, PMI-ACP, PMI-RMP, PMPHabeeb Omar, PMP, PgMP, PfMPAustin Baraza Omonyo, PhD, P2 Pr, PMPStefan Ondek, PMPArivazhagan Ondiappan, \nPhD(hon), MBB, PMI-RMP, PMP\nMichael Ord, AccMIVMA, CPEng, RPEQStefano Orfei, PMI-PBA, PMPHenrique Ortega-Tenorio, MBA, PMPCristiano Ottavian, PRINCE2P, PMPRamesh P B, CAIIB, PMI-ACP, PMPAntonio PaganoVijayalakshmi S. Pai, PRINCE2, PMPRavindranath Palahalli, BE, PG ADR, PMPJorge Palomino Garcia, Eng, MBA, PMPHariyo PangarsoEmmanouil Papadakis, PhD, MSc, PMPPaul Paquette, MBA, PMI-RMP, PMPDivya Pareek, BTech, GMP-YLP (IIMB Alumna)Stéphane Parent, PMI-RMP, PMI-SP, PMPReginald Paul Parker, MS, CAS, PMPCristina ParodiSatyabrata Pati, PMPLaura Paton, MBA, PMI-PBA, PMPMarcus Paulus, MBA, P2P, PMPNeil Pearson, PhD, PMPSrinivasa Rao Pentapalli, \nCMQ/OE, LEED AP, PMP\nCraig A. Perue, MBA, CMQ/OE, PMPDana Persada, MBA, PMPPradeep PerumparambilMark PetersonYvan PetitBrian PhillipsDurga P Phuyal, MA, CDA, PMPPaolo Pierani, PSM, 6 Sigma, PMPKavita Pikle, PMPCrispin Kik Piney, PMP, PfMPJose Angelo Pinto, PMPDaniel Fernandes Pinto, MSc, PMPMassimo Pirozzi, MSc Eng, PrinPM, PMI-ACPFrank PolackAlejandro Polanco, SCPM, LPM, PMPAaron PorterNapoleon Posada, MBA, PMPSvetlana Prahova, PMP, CSPOB K Subramanya Prasad, CSM, PMPAdi Prasetyo, PrinPM, MEng, PRINCE2, PMPPedro Pretorius, MCom, PMPClaudia Prince, PMPCarl Pritchard, PMI-RMP, PMPCarl ProHossein RadmehrMedhat Ragab Metwaly, PMI-RMP, PMPSriramasundararajan Rajagopalan, PgMP, PfMPAnne Niroshi Rajamohan, MScSwetha Rajesh, ITIL, CSM, PMPKarthik Ramamurthy, MCA, MBA, PMPGurdev Randhawa, MBA, BE, PMPAlakananda Rao, MSc, PGDBA, PMPS. Raghavendra Rao, SAFe(Agi), CSM, PMPReda Rashwan, Eng, MCP, AmiChemE, PMPRahul Rathod, MSPM, MBA, PMPSteve RatkajP. Ravikumar, PMI-ACP, PMP, PgMP\nPMI Seventh Edition July 2021204\nPMBOK® GuideKris Ravuvari, BSc Tech, M. Tech, PMP\nMohammad Yawar Raza, Eng., PMI-ACPKrupakara Reddy, PRINCE2, SMC, PMPS. Sreenivasula Reddy, MTech., MIELucas Rocha RegoNabeel Ur Rehman,\nEng, PMI-ACP, PMI-PBA, PMP\nAlexander V. Revin, PMPRoman Reznikov, PRINCE2, ITIL, PMPTashfeen Riaz, PgMP, PMP, PMI-ACPJuan Carlos Ribero Gómez, Ing, PMPAndre Luis Fonseca Ricardi, PMPFabio Rigamonti, PMPIvan Rincon, PMP, PgMP, CISALaurajean Rispens, PMP, PMI-ACPHasnain Rizvi, PhD, SPC, CSP, PMPKenneth Robson, PMPRuy Rodriguez-Roman, CPA, PMPSergio Rojas A., Eng, MBA, PMPDan S. Roman, CSSBB, PMI-ACP, PMPSadegh Roozbehi, DBA PMPMaría Rosas, PMO-CP, SA, PMPJ. Travis Rose, PMPMichela Ruffa, PMI-RMP, PMPTim RumbaughBrian RushPhilip Russell, PMPMike Ryal, PMPNagy Saad, ITIL, PMI-ACP, PMPMohammed Salaheddien Saad, Ph, PMPGopal Sahai, MSP, PMI-PBA, PMPAhmad Said, MM, PMPSavio Saldanha, BE, CTFL, PMPAhmed Omer Saleh Mubarak, Eng, MBA, PMPSarvenaz SalimitabarIng. Roger Salinas-Robalino, MSIG, PMPEmre Salmanoglu, PMPMario Salmona, PMI-PBA, PMI-RMP, PMPOmar SamaniegoAbubaker Sami, MoP, PgMP, PfMPYishai Sandak, MSc, PMI-ACP, PMPShankar SankaranPrithvinand P. Sarode, BE, PMPSachlani Sarono, P3OF, PSM I, PMPMuhammad Sauood ur Rauf, PMPBipin Savant, MTech, CBM, PMPJean-Charles Savornin, PMPGuy Schleffer, PMP, PgMP, PfMPGary Schmitz, PMI-ACP PMI-PBA, PMPDavid Schwantes, MBA, CSM, PMPDayashankara SedashivappaArun SeetharamanGrégoire SemeletYad Senapathy, MS, PMPCarl Sergeant, PMPNikita Sergeev, PhD, MBA, IPMA, PMDaisy SgCasey Shank, PEng, PMPGiridhar ShankavaramAli Sheikhbahaei, PE, PMI-RMP, PMPLokman Shental, PMP, TOGAFDennis Sherman, PhD, PMPHatim Sid Ahmed, MBBS, PMPSameer Siddhanti, MSc, PMP, PMPGary Sikma, PMI-ACP, PMPMarcos Felix SilvaMarisa Silva, MSc, PMPMichael Sims, MBAMayank Veer Singh, EngRavinder Singh, PSM I, PRINCE2, PMPAshwani Kumar Sinha, MBA, MScGitika Sinha, ITIL, PMI-ACP, PMPAnn Skinner, PhD, PMPDaniel Sklar, PMPJen Skrabak, PMP, PfMPSteven SkratuljaMartin J Smit, PhD, PMPDaniele Almeida SodréVictor S. Sohmen, EdD, MBABoon Soon LamJoseph SopkoMauro Sotille, MBA, PMI-RMP, PMPFernando Souza, CSM, CSPO, PMPRussel Souza, PMPMichael Spatola, MSSM, MS, PMPClifford Sprague, PSPO1, PMPMario Špundak, PhD, PfMPSreeshaj Sreedhar, SS, BBELT, PMPNitesh SrivantavaGunawan ST, PMI-RMP, PMPKlaus J. Stadlbauer, PMPChris Stevens, PhD\nPMI Seventh Edition July 2021205\nAppendix X1Cameron Stewart, PMI-ACP, PMP\nJim Stewart, CSM, PMI-ACP, PMPIan R. Stokes, PMPNathan Subramaniam, ITIL4, TOGAF 9, PMPPremkumar Subramanian, MBA, PMPYasuji Suzuki, PMI-ACP, PMPLisa Sweeney, PMPGrzegorz SzalajikoAhmed Taha, PhD, PRINCE2, PMI-RMP, PMPMohammad Mehdi Tahan, MSc, PMPMohamed Taher Arafa, PMI-ACP, PMI-RMP, PMPShoji Tajima, ITC, ITIL, PMPNilton Takagi, MSc, PMPPeter Wee Seng Tan, CPP, CISSP, PMPTetsuya Tani, CBAP, PMPChelsea Tanimura, MPA, PMPAwadalsaid Tara, Eng, MScE, SFC, PMPUsama Tariq, Eng, PMPCarsten TautzJose Teixeira De Paulo, PMI-RMP, PMI-SP, PMPIván Samuel Tejera Santana, PSM, PMI-ACP, PMPGerhard Tekes, Dipl Inf, PMOVR-CP, PMPMaria Temchina, PMI-ACP, PMPDaniel Tennison, PE, PMPHector Teran, PMPGino Terentim, PMI-ACP, PMP, PfMPCarlos Tessore, PhD, PMI-RMP, PMPMohammed ThoufeeqShuang Tian, PMI-ACP, PMPClaudia Tocantins, MSc, PMPMark TolbertDyana Torquato, PMI-ACP, PMPSüleyman Tosun, PhD, PSM I, ITIL, PMPSayed Tousif, BE, PMCPBella Trenkova, ICP-ACC, SPC4, PgMPMario Trentim, PMI-PBA, PMP, PfMPJohn N. Tse, MBA, CDA, PMPGeorg Turban, PMPDaniel Ubilla Baier, MBA, PMI-RMP, PMPYoon Sup Um, PMI-ACP, PMI-RMP, PMPHafiz UmarJudith W. Umlas, SVP, IILJoseph Ursone, CSM, MCP, PMPEbenezer Uy, SSBB, PMI-ACP, PMPAli Vahedi, PMP, PgMP, PfMPMadrony Valdivia Ponce, ING, ITILAndre Bittencourt do Valle, PhD, SAPMHenk-Jan van der Klis, MSc, PMPTom Van Medegael, PMPRaymond van Tonder, PMP, PMI-ACPRicardo Vargas, PhD, SAFe SPC, PMPEnid T. Vargas Maldonado, \nPMI-ACP, PMI-PBA, PMP\nSantosh Varma, PDGCA, ITIL, PMPNorm Veen, MBA, PMPJean Velasco, MBA, PMPVijay Vemana, SAFe, PMP, PgMPNagesh Venkataramanappa, PMPCharu Venkatararaman, CSM, CSPO, PMPVanessa VenturaEddy Vertil, PhD (ABD), PMI-RMP, PMPAnand Vijayakumar, PMI-RMP, PMP, PgMPRoberto Villa, PMPTiziano Villa, PMI-ACP, PMPAura Villagrana, MBA, SPC, PMPEsteban Villegas, PMI-ACP, PMPAndrea Vismara, MBA, PMI-PBA, PMPLislal Viswam, MSc, CSM, PMPYiannis Vithynos, PRINCE2P, PMI-ACP, PMPVijay Vittalam, PMI-ACP, PMI-RMP, PMPAline VonoThomas Walenta, PMP, PgMPQun Wang, CSPO, CSM, PMPGorakhanath Wankhede, PMPJ. LeRoy Ward, PMP, PgMP, PfMPMuhammad Waseem, MS(PM), PMPToshiyuki Henry Watanabe, PE.JP, PMR.JP, PMPBarb Waters, MBA, PMPJohn Watson, PMP, PMI-ACPDarrell Glen Watson Jr., MPM, PMPGanesh Watve, MBA, SMC, PMPPatrick Weaver, FAICD, PMI-SP, PMPXu Wei, PMPLars Wendestam, MSc, PMPMichal Wieteska, ASEP, PMPBronsen WijayaAngela Wiley, PMPEdward WilliamsDoug Winters, CSSBB, PMPLouise Worsley, MATe Wu, PhD, PMP, PgMP, PfMPYang Xiao, MBA, SCOR-P, PMP\nPMI Seventh Edition July 2021206\nPMBOK® GuideRajesh K. Yadav, MTech\nAliaa Yahia Elshamy, PharmD, PMP, MQM, TQMZhang YanxiangBill YatesAuguste Yeboue, MBA, DBA, PMPFu YongkangCynthia Young, DBA, LSSMBB, CMQ/OE, PMPDaniel Alfredo Zamudio López, SMC, PgMP, PMPStefano Mario Zanantoni, PMPEmanuele Zanotti, PhD, PMPKen Zemrowski, ESEP, MSTMCristina Zerpa, MC, PMPBin ZhaoFangcun ZhaoJutta Edith Zilian, CISA, CISM, CGEITPriscila Tavares da Sliva ZoubackAlan Zucker, DAC, PMI-ACP, PMP\nX1.2 PMI STAFF\nSpecial mention is due to the following employees of PMI:\nMarvin Nelson, DBA, SCPMDanielle Ritter, MLIS, CSPOKim ShinnersRoberta StorerStephen A. TownsendBarbara Walsh, CSPODaniel Wiser\nPMI Seventh Edition July 2021207\nAppendix X2X2.1 INTRODUCTION\nResearch shows that an active project sponsor is a critical success factor in achieving positive \noutcomes from projects. This appendix describes the actions and impacts of sponsors and how these \nfactors contribute to the overall success of the project.\nX2.2 THE SPONSOR ROLE\nDepending on the organization, a project typically has a sponsor. The project sponsor provides \ndecision leadership that is outside of the authority and position power of the project manager and project team. Active engagement and oversight by a project sponsor supports the project manager, the project team, and ultimately drives project outcomes. The sponsor also links the project team with the strategy and big-picture view at the executive level of the organization.\nSponsors perform the following functions, among others:\n▶Communicate the vision, goals, and expectations to the team.\n▶Advocate for the project and the team.\n▶Facilitate executive-level decisions.\n▶Help secure resources.\n▶Keep projects aligned to business objectives.\n▶Remove obstacles.\n▶Address issues outside the project team’s authority.\n▶Bring opportunities that arise within the project to senior management.\n▶Monitor project outcomes after closure to ensure intended business benefits are realized.Appendix X2\nSponsor\nPMI Seventh Edition July 2021208\nPMBOK® GuideThe sponsor’s position within the organization and the perspective from that level enable the \nsponsor to provide key support to the team in the following areas:\n▶Vision. Establish and/or communicate the vision and direction for the project.\n▶Business value. Work with the team consistently to maintain alignment with the\nstrategic and business objectives. When the market, competition, and strategy are volatile\nand evolving, this may require frequent interactions to adjust project work to meet theevolving direction.\n▶Customer focus. Balance various stakeholder needs and priorities. When there are\nmultiple stakeholders, especially stakeholders with conflicting needs, it may be necessary\nto prioritize stakeholder needs and make trade-offs.\n▶Decisions. Make decisions or direct decisions to the appropriate individual or group when\nthere are decisions to be made that are outside of the project team’s authority. If the teamcannot come to a decision or if the team is in conflict, sponsors can mediate conflict andfacilitate the decision-making process.\n▶Motivation. Sponsors serve as a source of motivation for the project team by activelyengaging with and supporting them.\n▶Accountability. Depending on the authority level of the role, sponsors are often\naccountable for the project outcomes. In this role, they may accept or reject thedeliverables for the project.\nX2.3 LACK OF ENGAGEMENT\nWhen the sponsor is not engaged or when that role is vacant, many of the benefits associated \nwith the activities listed in Section X2.2 are missing. This may have a negative impact on project effectiveness. Project performance suffers because there are often longer decision time frames and conflicting priorities. If the sponsor is not helping to secure resources, that gap can impact access to necessary team members or acquisition of physical resources. When there is no direct sponsor support, team members may be removed or switched out. These changes can cause negative impacts to scope, quality, schedule, and budget and diminish the probability of achieving intended outcomes and stakeholder satisfaction.\nPMI Seventh Edition July 2021209\nAppendix X2X2.4 SPONSOR BEHAVIORS\nThere are certain behaviors that sponsors display that can help teams perform effectively and \nthus improve project outcomes:\n▶Resource. Liaise with the organization to ensure the team has the necessary skill sets\nand the physical resources needed to deliver the project.\n▶Guide. Provide a motivating vision around which the team can rally.\n▶Align. Maintain alignment between the organization’s strategic goals and the project\noutcomes. If the market changes or the organization’s goals shift, work with the projectteam to pivot the direction of the project to meet the current needs.\n▶Tailor. Work alongside the team to tailor the structure, culture, processes, roles, and work\nto optimize outcomes.\n▶Influence. Enable the needed changes for adoption to the post-project operations.\nThis includes leadership, engagement, and collaboration with stakeholders throughout\nthe organization.\n▶Communicate. Provide an ongoing exchange of information from the organization\nto the team and from the team to the organization.\n▶Partner. Partner with the team in achieving success. This can include coaching, mentoring,and demonstrating a personal commitment to the project goal.\n▶Check. Engage with the team to stimulate critical thinking by asking questions, challengingassumptions, and fostering innovation.\n▶Unblock. Remove impediments and barriers and resolve issues that are outside the team’s\nauthority or ability to address.\nPMI Seventh Edition July 2021210\nPMBOK® GuideX2.5 CONCLUSION\nThe strategic link that the sponsor provides both empowers and enables the project team \nto optimize its performance by maintaining alignment with the organization’s strategy. The sponsor \nfacilitates engagement and decision making and ensures that the skills and resources needed \nare available. These activities and behaviors increase the likelihood of achieving the desired \nproject outcomes.\nX2.6 SUGGESTED RESOURCES\nAhmed, R., Mohamad, N. A. B., & Ahmad, M. S. 2016. Effect of multidimensional top management \nsupport on project success: An empirical investigation. Quality & Quantity, 50(1), 151–176. https://doi. \norg/10.1007/s11135-014-0142-4\nKloppenborg, T. J., Tesch, D., & Manolis, C. 2014. Project success and executive sponsor behaviors: \nEmpirical life cycle stage investigations. Project Management Journal, 45(1), 9–20. \nhttps://doi.org/10.1002/pmj.21396\nProject Management Institute (PMI). 2012. Executive engagement: The role of the sponsor. Retrieved \nfrom https://www.pmi.org/business-solutions/white-papers/executive-engagement-sponsor-role.\nProject Manageme nt Institute. 2014. Pulse of the Profession® Report, Executive sponsor engag ement: \nTop driver of project and prog ram success. Retrieved from https://www.pmi.org/-/media/pmi/documents/\npublic/pdf/learning/thought-l eade rship/pulse/e xecutive-sponsor-engagement.pdf?v=411b7196-1cb4-\n4b29-b8d2-2764513bd175&sc_lang_te mp=en\nZwikael, O. 2008. Top management involvement in project management: Exclusive support practices \nfor different project scenarios. International Journal of Managing Projects in Business, 1(3), 387–403. \nhttps://doi.org/10.1108/17538370810883837\nPMI Seventh Edition July 2021211\nAppendix X3X3.1 INTRODUCTION\nThe acronym “PMO” can refer to a portfolio, program, or project management office. In the \ncontext of the PMBOK® Guide – Seventh Edition, the project management office (PMO) represents \na management structure that standardizes project-related governance processes and facilitates \nthe sharing of resources, tools, methodologies, and techniques. Recognizing that the character and function of a PMO varies between organizations, and even within the same organization, this appendix outlines common attributes among PMOs and discusses how PMOs support project work.\nX3.2 THE PMO VALUE PROPOSITION—WHY HAVE ONE?\nOrganizations establish PMOs for a variety of reasons but with one core benefit in mind: \nimproved project management in terms of schedule, cost, quality, risk, and other facets. PMOs have many potential roles in aligning work with strategic goals: engaging and collaborating with stakeholders, developing talent, and realizing value from investments in projects.Appendix X3\nThe Project Management Office\nPMI Seventh Edition July 2021212\nPMBOK® GuidePMOs can take multiple forms. Understanding how PMOs are utilized in organizations as well \nas assigned roles and responsibilities sheds light on the range of benefits PMOs can deliver:\n▶Some PMOs provide project management guidance that supports consistency in how\nprojects are delivered. These PMOs may provide guidelines, templates, and examples\nof good practices along with training and coaching. Standardized approaches and toolspromote a common business picture across projects and facilitate decisions that transcendindividual project concerns. This type of PMO often exists in organizations that are juststarting to improve their project management capabilities.\n▶A PMO may offer project support services for planning activities, risk management, project\nperformance tracking, and similar activities. This shared services model of a PMO oftenexists in organizations with independent or diverse business units that want support withdelivery while maintaining more direct control over their projects.\n▶PMOs can be part of a department or business unit and oversee a portfolio of projects.\nOversight can include such activities as requiring a business case to initiate a project,allocating financial and other resources to deliver the project, approving requests to changeproject scope or activities, and similar functions. This type of PMO provides centralizedmanagement of projects. This structure exists in organizations that have departments withmultiple projects and that deliver strategically important results, such as IT capabilities ornew product development.\n▶An organization may have an enterprise-level PMO (EPMO) that links implementation\nof organizational strategy with portfolio-level investments in programs and projects thatdeliver specific results, changes, or products. This structure exists in organizations withwell-established project management capabilities that are directly linked to achievingorganizational strategy and broad business objectives.\n▶Organizations with flatter structures, customer-centered initiatives, and more adaptive\ndelivery approaches may adopt an Agile Center of Excellence (ACoE) or Value DeliveryOffice (VDO) structure. The ACoE/VDO serves an enabling role, rather than a managementor oversight function. It focuses on coaching teams, building agile skills and capabilitiesthroughout the organization, and mentoring sponsors and product owners to be moreeffective in those roles. This type of structure is emerging wit\nhin organizations adopting more\ndecentralized structures where teams need to respond quickly to changing customer needs.\nPMOs may be layered. For example, an EPMO may have subordinate PMOs and VDOs that \nreside within specific departments. Such layering supports strategic alignment at the EPMO level and specific project management capabilities within the departmental PMO or VDO.\nPMI Seventh Edition July 2021213\nAppendix X3The formation of any type of PMO or VDO is based on organizational needs. Key influencers \nthat help to shape the PMO or VDO include the types of projects being delivered, the size of the \norganization, its structure(s), the degree of centralized/decentralized decision making, and corporate culture. As organizational needs change over time, PMOs and VDOs evolve in response. For example, a PMO may transform into a VDO or the PMO may be closed after fulfilling its charter.\nX3.3 KEY PMO CAPABILITIES\nThe Standard for Project Management states that projects are part of a system for value delivery \nwithin organizations. PMOs can support that system and are a part of the system. Just as project teams need specific capabilities to deliver results, so do PMOs. Effective PMOs make three key contributions that support value delivery:\n▶Fostering delivery and outcomes-oriented capabilities. PMOs foster project\nmanagement capabilities. They ensure that employees, contractors, partners, etc., whoare within and outside of the PMO, understand, develop, apply, and value a range ofproject management skills and competencies. They focus on right-sizing processes andgovernance, based on the unique characteristics of each project to produce high-qualityresults efficiently, quickly, and effectively.\n▶Keeping the “big picture” perspective. Staying true to the goals of a project remains a\nkey element of success. Scope creep and new priorities not aligned to strategic or businessgoals can allow projects to drift off course. Strong PMOs evaluate the performance ofprojects with an eye toward continuous improvement. They evaluate work in the context\nof the organization’s overall success rather than maximizing a specific project’s results.\nThey provide project teams, senior management, and business leaders with informationand guidance that help them understand current circumstances and options in support\nof decision making.\n▶Continuous improvement, knowledge transfer, and change management.\nStrong PMOs regularly share project results across the organization to transfer valuableknowledge gained from each project. Learning and sharing activities inform strategic andbusiness objectives while improving activities that strengthen future project delivery.Effective organizational change management builds and sustains alignment with processupdates, capability enhancements, and new skills that support project management.\nPMI Seventh Edition July 2021214\nPMBOK® GuideX3.4 EVOLVING FOR STRONGER BENEFITS REALIZATION\nFor many businesses, greater uncertainty, an accelerated pace of change, increased \ncompetition, and more empowered customers mean organizations produce value in an increasingly \ncomplex environment. The ability to implement new strategic initiatives and change rapidly is becoming a key differentiator. These changes are also exerting greater pressure on PMOs to demonstrate their contributions to benefits realization and value creation. PMOs are evolving to meet these challenges by:\n▶Focusing on critical initiatives. While all projects are important, strategic initiatives\ncan significantly impact the organization’s future, its relationship with its stakeholders,and its capabilities. PMOs are shifting from being project watchdogs to orchestratingconversations between senior leaders, business unit heads, product owners, and projectteams. These conversations provide accurate insights into project performance, threats,and opportunities that can affect important strategic initiatives. Such focus promotesclarity and course correction around emerging issues and the fullest possible realization\nof business outcomes.\n▶Instituting smart and simple processes. PMOs are right sizing their organization’s\ncapabilities by establishing just enough process and practice discipline to enable effectivecommunication, collaboration, and continuous improvement without adding wasteful\nsteps or overriding processes that are producing value.\n▶Fostering talent and capabilities. PMOs are playing a more proactive role in recruiting\nand retaining talented team members. They are developing and nurturing technical,strategic, management, and leadership skills within project teams and across theorganization.\n▶Encouraging and enabling a culture of change. PMOs are becoming change leadersby actively building organization-wide support for and commitment to outcomes andbenefits-focused performance and organizational change management as competitivedifferentiators.\nPMI Seventh Edition July 2021215\nAppendix X3X3.5 LEARN MORE ABOUT PMOS\nThese PMI standards and guides provide additional information about the role of the PMO \nfrom different perspectives. They may offer additional insights and useful information.\nProject Management Institute. 2017. The Standard for Organizational Project Management. Newtown \nSquare, PA: Author.Project Management Institute. 2017. The Standard for Portfolio Management. Newtown Square, \nPA: Author.Project Management Institute. 2017. The Standard for Program Management.\n Newtown Square, \nPA: Author.Project Management Institute. 2017. The Standard for Business Analysis. 2017. Newtown Square, \nPA: Author.Project Management Institute. 2017. Agile Practice Guide.\n Newtown Square, PA: Author.\nProject Management Institute. 2016. Governance of Portfolios, Programs, and Projects: A Practice Guide. \nNewtown Square, PA: Author.\nX3.6 SUGGESTED RESOURCES\nProject Management Institute. 2013. Strategic Initiative Management: The PMO Imperative. Available \nat https://www.pmi.org/learning/thought-leadership/pulse/strategic-initiative-management-the-\npmo-imperative.\nProject Management Institute. 2013. The Impact of PMOs on Strategy Implementation. Available \nat https://www.pmi.org/learning/thought-leadership/pulse/impact-pmo-strategy-in-depth.Project Management Institute. 2013. PMO Frameworks.\n Available at https://www.pmi.org/learning/\nthought-leadership/pulse/pmo-frameworks.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021217\nAppendix X4X4.1 INTRODUCTION\nThere has been a gradual transition in project management concepts over the last decade. \nViews such as defining success as meeting scope, schedule, and budget objectives have transitioned \nto measuring value and the outcomes (not the outputs) of the project. Product management is aligned with this value view and adds a longer time frame perspective. These concepts are shown \nin Table X4-1.Appendix X4\nProduct\nTable X4-1. Views of Project and Product Management\nAttribute Product View Project View\nFocus Outcomes Outcomes\nTypical metrics Value Business va lue\nStaffing model Temporary teams Stable teams\nDelivery emphasis “Deliver va lue” accountability “Inception to retirement” accountability\nPMI Seventh Edition July 2021218\nPMBOK® GuideThis appendix provides information about product development that raises tailoring \nconsiderations for teams to consider. It describes how products and services continue to develop \nand evolve through their use and over their lifetime. For purposes of this appendix, products, product management, and product life cycle are defined as:\nProduct. A product is an artifact that is produced, is quantifiable, and can be either an end \nitem in itself or a component item.\nProduct management.\n Product management is the integration of people, data, processes, \nand business systems to create, maintain, and evolve a product or service throughout its life cycle.\nProduct life cycle. A product life cycle is a series of phases that represents the evolution \nof a product, from concept through delivery, growth, maturity, and to retirement.\nGiven these definitions, products extend beyond a project life cycle. They operate more like \nlong-running programs that focus on maximizing benefits realization. For example:\n▶The Apple iPhone® product has been through multiple versions with future updates on\nsomeone’s drawing board.\n▶Once they are finished, buildings and homes require ongoing maintenance to keep them\nfunctioning correctly and, at specific points, they may be refurbished or expanded fordifferent uses.\nContinuous development has impacts on many factors including, but not limited to, funding \nmodels, staffing models, development, and sustainment practices.\nPMI Seventh Edition July 2021219\nAppendix X4X4.2 GLOBAL MARKET SHIFTS\nThree global trends are disrupting traditional business models and transforming products and \nservices (see Figure X4-1).\n▶Customer centricity. Customer centricity inverts the traditional model of organizations\ndeveloping products and pushing them out to customers. Today, organizations are changing\nto better understand, serve, and maintain customer loyalty (see Figure X4-2). Today’stechnology can capture a range of customer data and requirements that organizationsanalyze and use for potential product enhancements, cross-selling opportunities, newproduct ideas, etc.Customer Centricity\nProduct Manag ement Software-Enhanced Value\nOngoing Provision and Pa yment\nFigure X4-1. Global Business Trends Influencing the Management of Products\nPMI Seventh Edition July 2021220\nPMBOK® Guide▶Software-enhanced value. Software and the capabilities it can provide have become\nkey differentiators in a range of products and services today. Thirty years ago, software\nran predominantly on dedicated computers. Ten years ago, software was embedded\nin control systems for vehicles and homes as a result of enhanced wireless and satellite\ncommunication systems. Now, even the most mundane appliances run software that\nadds new capabilities and captures usage data.\nMost organizations conduct at least some portion of their transactional business\nelectronically through websites and applications. Due to the ongoing need to upgrade\nand maintain these systems, these services are only truly finished with development\nwhen the product or service is retired.\n▶Ongoing provision and payment. Changes to established economic models aretransforming many organizations. Single-transaction services are being replaced withcontinuous provision and payment. Examples include:Organization Revolving\nAround the CustomerOrganization Ser ving\nProducts Out to Customer\nCustomer\nExperienceCustomer\nEngagement\nCustomer\nLoyaltyCustomer\nValue\nCustomer\nLife CycleCustomer\nRelationship\nFigure X4-2. The Changing Relationship Between an Organization and Its Customers\nPMI Seventh Edition July 2021221\nAppendix X4▹Publishing. Self-publishing, direct distribution, and electronic books that allow ongoing\nrefinement and development after publication.\n▹Finance. The shift away from local branches and toward microlending with funding\nin smaller batches is based on evaluation of value delivered.\n▹Start-ups. With the increase in the gig economy and custom markets, there are more\nstart-ups and small businesses today than ever. Work is more distributed, fragmented,and fluid than with traditional models.\n▹Media. A move away from buying DVDs and CDs from centralized outlets; instead,\na rise in subscription services with ongoing funding and delivery of benefits.\nX4.3 IMPACT ON PROJECT DELIVERY PRACTICES\nAs markets shift from a single project delivery model to an ongoing delivery model, some \norganizations are looking for alternatives to temporary project structures that deliver a single product, change, or service. Instead, they are looking for delivery constructs that have a strong customer focus, recognize the rapid evolution of technology, and align with the ongoing service and revenue streams of loyal customers.\nThese factors have led to an increased interest in and shift toward product management \nlife cycles for value delivery. Product management takes a longer life cycle view that encompasses support, sustainment, and ongoing evolution with the same team. Stable teams are especially valuable in complex and unique domains, such as systems with embedded software where knowledge transfer is time-consuming and costly. The shifting focus to product management is prompting some project-oriented organizations to adapt their delivery models.\nX4.4 ORGANIZATIONAL CONSIDERATIONS \nFOR PRODUCT MANAGEMENT\nOrganizations that are shifting to long-running, product-based environments can utilize \nseveral strategies to align and coordinate product management. Three strategies include, but are not limited to, the following (see also Figure X4-3):\nPMI Seventh Edition July 2021222\nPMBOK® Guide▶Establish stable teams. Instead of disbanding the team when initial development is\ncomplete, use that team to sustain and evolve the product with the designated product\nowner or person within the team reflecting the customer perspective. This removes theneed for knowledge transfer and reduces the risk of future enhancements being delayeddue to a loss of tacit knowledge.\nLong-standing teams also develop better market awareness, customer insights, and\ncustomer empathy than short-term teams. This helps with maintaining customer focusand customer loyalty and builds competitive advantage. When people know they will beresponsible for maintaining and enhancing a product, they are less likely to take shortcutsto get something ready for release. As a result, quality, maintainability, and extensibility areoften improved with \nlong-serving teams rather than with teams that develop then handover\nproducts. These factors, in turn, contribute to creating value and sustaining value delivery.Establish Stable Teams\nUse Incremental Funding Product Environment\nProgram Manag ement\nFigure X4-3. Supporting Strategies for Continuous Value Delivery\nPMI Seventh Edition July 2021223\nAppendix X4Partners or contractors who develop initial products for deployment on a customer \nsite incorporate effective change management to ensure customers have the capabilities \nto maintain the product once it is transitioned. Part of transition planning can include discussions on building a team within the receiving organization that can support and evolve the product over its life cycle.\n▶Use incremental guidance and funding. Instead of predefined project durations or\nannual budgets, consider more frequent reviews (such as quarterly) and funding for thenext quarter. With more frequent evaluations and funding, the business is in closer controlof overall progress, direction, and decision making.\nSimilar to venture capital funding, regular reviews of delivered value allow direct funding\ntoward products that are providing expected value and reduce or curtail investment inunderperforming initiatives. Such funding models enable organizations to pursue newmarket opportunities and capitalize on successful endeavors while limiting exposure\nto the inevitable percentage of new initiatives that fail.\n▶Utilize program management structures. Practitioners operating with stable teams\nthat support customer-centric products can apply program management constructs formanaging long-running initiatives. Programs align well with adjusting to market changesand focusing on customer benefits. They are also typically much longer running than\na single project.\nThe Standard for Program Management addresses ongoing priority changes as follows:\n“The primary difference between projects and programs is based on the recognition withinprograms that the strategies for delivering benefits may need to be optimized adaptively asthe outcomes of components are individually realized. The best mechanisms for deliveringa program’s benefits may initially be ambiguous or uncertain.”\nThis acceptance of up-front uncertainty, need for adaptation, focus on benefits, and\nlonger time frames may make programs a better fit than projects for many organizationsmanaging product delivery.\nPMI Seventh Edition July 2021224\nPMBOK® GuideMany traditional product industries, such as infrastructure, aerospace, and automotive, \nuse program management guides and frameworks. These industries utilize programs \nfor directional alignment and integration of component activities, such as programs, subprograms, and project activities. For example, an organization with a technology platform can use program and product management to prioritize and oversee capabilities that will maximize the platform’s return on investment over its lifetime. A stable, continuous development team can work on customer-focused, value-adding features and functions. Project teams then deliver equipment upgrades and interfaces with new or enhanced systems. Operational teams can troubleshoot user interface issues and help customers adapt to new features. When program structures already exist in organizations, shifting to those structures for product management does not require reorienting everyone to a new way of thinking or working.\nTable X4-2. Unique Characteristics of Projects, Programs, and Products\nCharacteristic Product Program Project\nDuration\nScope\nChangeSuccess\nFundingShort term, temporary\nProjects ha ve defined \nobjectives. Scope is progres-\nsively elaborated throughout \nthe life cycle.\nProject teams expect changes \nand implement processes to address the changes, as needed.\nSuccess is measured by \nproduct and project quality , \ntime lines, budget, customer \nsatisfaction, and achievement of intended outcomes.\nFunding is largely determined \nup front based on ROI projections and initial estimates. Funding is updated based on actual performance and change requests.Longer term\nPrograms produce aggregate \nbenefits delivered through \nmultiple components.\nProgram teams explore \nchanges and adapt to optimize the delivery of benefits.\nSuccess is measured by the \nrealization of intended benefits \nand the efficiency and effectiveness of delivering those benefits.\nFunding is up front and \nongoing . Funding is updated \nwith results showing how benefits are being delivered.Long term\nProducts are customer\nfocused and benefits driven.\nProduct teams explore \nchanges to optimize the delivery of benefits.\nSuccess is measured by the \nability to deliver intended \nbenefits and ongoing viability for continued funding.\nProduct teams engage in \ncontinuous development via funding , development blocks, \nand reviews of value deliver y.\nPMI Seventh Edition July 2021225\nAppendix X4Organizations taking an integrated view of project and product management can benefit \nfrom examining program management frameworks as a stepping stone. Programs are much better \naligned with product thinking through their acceptance of up-front uncertainty, need for adaptation, focus on benefits, and longer time frames.\nX4.5 SUMMARY\nGlobal markets, increased diversification, and the addition of software to more products are \nresulting in extended support, sustainment, and time frames for realization of value. Customer-centric and digitally focused organizations are finding advantages in forming stable teams for the lifetime support and growth of these new classes of products.\nProduct life cycles may appear at odds with traditional project delivery constructs such as \nthe temporary nature of projects. However, they have many overlaps with the evolution of project thinking that includes focusing on customer value.\nOrganizations in such environments can find alignment and additional resources in creating \nlong-running stable teams, staged funding, and program management constructs.\nX4.6 SUGGESTED RESOURCES\nKelly, A. 2018. Continuous Digital: An Agile Alternative to Projects for Digital Business. Columbus, OH: \nAllan Kelly Associates.\nLeybourn, E. and Hastie, S. 2019. #noprojects: A Culture of Continuous Value. Toronto, Ontario, \nCanada: C4Media.Kersten, M. 2018. Project to Product: How to Survive and Thrive in the Age of Digital Disruption with the \nFlow Framework.\n Portland, OR: IT Revolution Press.\nProject Management Institute. 2017. The Standard for Program Management – Fourth Edition. \nNewtown Square, PA: Author.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021227\nAppendix X5Appendix X5 \nResearch and Development for \nThe Standard for Project Management\nX5.1 INTRODUCTION\nThe purpose of this appendix is to provide insight into how the update to The Standard for \nProject Management was developed. Content includes:\n▶Rationale for a move to a principle-based standard,\n▶Overview of the research conducted prior to the development of the standard,\n▶Description of how the standard was developed, and\n▶Information on how the content in the standard was validated.\nX5.2 THE MOVE TO A PRINCIPLE-BASED STANDARD\nSince 2010, PMI’s standards program has included research in addition to practitioner \nexperience to develop standards. Academic research, market research, focus groups, and \npractitioner experience have been inputs when updating many of the standards documents, including The Standard for Project Management.\nAs early as 2012, research suggested a move away from a prescriptive, process-oriented standard \ntoward one that requires reflection to apply in practice. Since that time, many of PMI’s standards have moved to a principle-based format, such as The Standard for Program Management – Third Edition \nand The Standard for Portfolio Management – Fourth Edition. In addition, as part of supporting the \ndevelopment of ISO standards, PMI participated in discussions within ISO TC258\n1 regarding the need \nto shift to a narrative- or principle-based approach and away from a process-based approach.\n1 International Organization for Standardization Technical Committee 258, Project, Programme, \nand Portfolio Management.\nPMI Seventh Edition July 2021228\nPMBOK® GuideComments by the review teams and exposure draft participants collectively affirmed the shift \nof The Standard for Project Management away from a process-based approach to a principle-based \nstandard in keeping with research findings and practitioner need.\nX5.3 RESEARCH FOR THE STANDARD \nFOR PROJECT MANAGEMENT\nPrior to updating The Standard for Project Management , significant research and review were \nconducted, including:\n▶International project management standards or standards-like documents along with lean,\nagile, and design thinking principles and some of the mostly commonly used frameworks.\nThis research helped to identify common practice areas and themes that served as inputsinto developing the principles in the The Standard for Project Management .\n▶PMI research, such as Pulse of the Profession®, which indicated that more organizations\nand practitioners are embracing agile and hybrid models along with new ways of working(i.e., tools, frameworks, technologies, etc.).\n▶Review of published white papers, thought leadership articles, and related documents\nto elicit underlying principles.\n▶Focus groups and workshops to gather stakeholder input for improving the usability\nof \nThe Standard for Project Management .\nAnalysis of the research led to the conclusion that more organizations are embracing a variety \nof project management approaches. Some organizations are moving toward a hybrid approach which mixes predictive and adaptive practices. Organizations and project teams are tailoring their approaches to the needs of the industry, organization, and project. These findings indicated that the PMI standard needed to reflect a more holistic and inclusive view of project management applicable to predictive, hybrid, and adaptive approaches.\nPMI Seventh Edition July 2021229\nAppendix X5All of this information contributed insights to the development process for exploring:\n▶A shift from a process- to a principle-based focus that would reflect the full spectrum\nof the various ways that projects are managed.\n▶Potential new content areas for inclusion, such as benefits realization management,\norganizational change management, and complexity, in alignment with the practice guides\nin those areas.\n▶Moving any “how to” content to a more interactive and adaptive medium and adapting that\ncontent to better reflect a range of considerations based on industry, type of project, andother important characteristics.\n▶Broadening the focus of the standard to be inclusive of all projects and placing more\nemphasis on the desired outcomes from the project.\nX5.4 STANDARD DEVELOPMENT PROCESS\nDeveloping the standard included ensuring global stakeholder representation from a broad \nrange of industries and the various approaches to managing projects.\nX5.4.1 DEVELOPMENT AND REVIEW TEAMS\nPrior to developing the content for the standard, a Development Team and two review teams \nwere formed. Approximately 450 individuals applied to participate on the teams. Twelve people were selected for the Development Team and approximately 70 were selected to participate in one of two review teams. The Development Team and review teams were comprised of stakeholders from around the globe and across industry segments and roles (e.g., government, practitioners, academic, consulting, and organizational providers). The teams included expertise in delivering projects using predictive, hybrid, and adaptive approaches.\nPMI Seventh Edition July 2021230\nPMBOK® GuideX5.4.2 CONTENT\nThe standard is comprised of three sections: Introduction, A System for Value Delivery, and \nProject Management Principles.\nThe Introduction includes key terms and concepts associated with project management. Much \nof this information is consistent with previous editions.\nContent in the section on A System for Value Delivery draws on content from PMI foundational \nstandards2 as well as research on benefits realization management and organizational agility. The \ncontent is presented with a focus on delivering value and is inclusive of the various ways in which \nvalue is created.\nThe Project Management Principles section evolved throughout the development and validation \nprocess. The initial concepts for the principles were identified through the research discussed previously. The Development Team worked individually and collaboratively to identify potential principles and then grouped them into affinity categories. Each category was further analyzed and decomposed to include a list of keywords associated with each category. The potential categories and keywords were composed into an initial draft, which was then reviewed and commented on by the entire Development Team to ensure the intent of the principles was reflected in the draft.\nIt is important to note that the principles are intended to be broadly based. Nothing in the \nprinciples is intended to be dogmatic, restrictive, or prescriptive. The principles are aligned with, \nbut not duplicative of, the content in the PMI Code of Ethics and Professional Conduct .\nIt is not possible to generate the “right principles” as each p\nroject and organization is different. \nTherefore, the principles are designed as a guide for people working on projects. Project professionals and others working on projects can seek to be aligned with the principles, but they are not intended \nto provide instructions for managing projects.\nX5.5 VALIDATING THE STANDARD\nContent in the standard was validated using three main approaches: global workshops, \niterative development, and public exposure draft.\n2 The Standard for Program Management – Fourth Edition and The Standard for Portfolio Management – Fourth Edition.\nPMI Seventh Edition July 2021231\nAppendix X5X5.5.1 GLOBAL WORKSHOPS\nThroughout the development process, global workshops were held where the move to a \nprinciple-based standard was presented and workshop participants were asked to explore guiding \nprinciples for project management. Workshops were presented in Dublin, Ireland (PMI Global Congress – EMEA); Bangalore, India; Brazilia, Brazil; Ottawa, Canada (PMI Global Executive Council meeting); Philadelphia, Pennsylvania, United States (PMI Global Conference); and Beijing, China. These workshops served as input into the Development Team’s work and as validation checkpoints during development.\nX5.5.2 ITERATIVE DEVELOPMENT\nThe Development Team worked in pairs and small teams to develop the initial content for \neach of the three sections that comprise The Standard for Project Management . Once the initial drafts \nwere integrated, the Development Team and Review Team 1 reviewed and commented on the drafts of each section of the standard. These reviews produced over a thousand comments which the Development Team analyzed and addressed to produce a second draft of the full standard. Review Team 2 reviewed the entire draft standard and provided comments with a fresh perspective to the Development Team. Those comments were analyzed and integrated into the content, as appropriate.\nX5.5.3 EXPOSURE DRAFT\nThe draft standard was made available for public review and comment from 15 January to \n14 February 2020. Almost 600 individuals submitted comments on the exposure draft. In response to the exposure draft comments, the content was reorganized and edited for clarity. Most comments indicated agreement with the intent of the principle-based standard. The Development Team then reviewed the draft of the standard and gave approval for the draft to go to the Standards Consensus Committee for consensus ballot per PMI’s Policy for the Development and Coordination of American \nNational Standards .\nPMI Seventh Edition July 2021232\nPMBOK® GuideX5.6 SUMMARY\nContinuing changes in the project management profession and the ways in which projects are \nmanaged support a less prescriptive standard. Industry research, global participation with broad \nindustry representation, and an iterative review process shaped and validated the move from a process-based standard to a principle-based standard. Future teams can evaluate the impact of the shift in presentation of The Standard for Project Management and use that information to enhance or \nrevise future editions.\nPMI Seventh Edition July 2021233\nGlossary1.INCLUSIONS AND EXCLUSIONS\nThis combined glossary includes definitions of terms and acronyms from the following:\n▶The Standard for Project Management\n▶A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition\nThis glossary includes terms that are:\n▶Unique or nearly unique to project management (e.g., minimum viable product, work\nbreakdown structure, Gantt chart), and\n▶Not unique to project management but used differently or with a narrower meaning\nin project management than in general everyday usage (e.g., release planning,\ncontingency reserve).\nThis glossary generally does not include:\n▶Application-area-specific terms,\n▶Terms used in project management that do not differ in any material way from everyday\nuse (e.g., calendar day, delay),\n▶Compound terms whose meanings are clear from the meanings of the component parts,\n▶Variants when the meaning of the variant is clear from the base term, and\n▶Terms that are used only once and are not critical to understanding the point of the\nsentence. This can include a list of examples that would not have each term defined\nin the glossary.Glossary\nPMI Seventh Edition July 2021234\nPMBOK® Guide2.COMMON ACRONYMS\nAC actual cost\nBAC budget at completion\nCCB change control board\nCFD cumulative flow diagram\nCOQ cost of quality\nCPAF cost plus award fee\nCPFF cost plus fixed fee\nCPI cost performance index\nCPIF cost plus incentive fee\nCPM critical path method\nCV cost variance\nDoD definition of done\nEAC estimate at completion\nEEF enterprise environmental factors\nEMV expected monetary value\nETC estimate to complete\nEV earned value\nEVA earned value analysis\nFFP firm fixed price\nFPEPA fixed price with economic \nprice adjustment\nFPIF fixed price incentive feeIDIQ indefinite delivery indefinite quantity\nLCA life cycle assessment\nMVP minimum viable product\nNPS® Net Promotor Score®\nOBS organizational breakdown structure\nOPA organizational process assets\nPMB performance measurement baseline\nPMBOK Project Management Body of Knowledge\nPMO project management office\nPV planned value\nRAM responsibility assignment matrix\nRBS risk breakdown structure\nSOW statement of work\nSPI schedule performance index\nSV schedule variance\nSWOT strengths, weaknesses, opportunities, \nand threats\nT&M time and materials contract\nVAC variance at completion\nVDO value delivery office\nWBS work breakdown structure\nPMI Seventh Edition July 2021235\nGlossary3.DEFINITIONS\nMany of the words defined here have broader, and in some cases, different dictionary definitions.\nIn some cases, a single glossary term consists of multiple words (e.g., root cause analysis).\nAcceptance Criteria. A set of conditions that is required to be met before deliverables are accepted.\nAccuracy. Within the quality management system, accuracy is an assessment of correctness.\nActivity List. A documented tabulation of schedule activities that shows the activity description, \nactivity identifier, and a sufficiently detailed scope of work description so project team members understand what work is to be performed.\nActual Cost (AC). The realized cost incurred for the work performed on an activity during a specific \ntime period.Adaptive Approach. A development approach in which the requirements are subject to a high level \nof uncertainty and volatility and are likely to change throughout the project.\nAffinity Diagram. A diagram that shows large numbers of ideas classified into groups for review \nand analysis.Affinity Grouping. The process of classifying items into similar categories or collections on the basis \nof their likeness.Agile.\n A term used to describe a mindset of values and principles as set forth in the Agile Manifesto.\nAlternatives Analysis. A method used to evaluate identified options in order to select the options \nor approaches to use to perform the work of the project.Ambiguity.\n A state of being unclear, having difficulty in identifying the cause of events, or having \nmultiple options from which to choose.Analogous Estimating. A method for estimating the duration or cost of an activity or a project using \nhistorical data from a similar activity or project.Artifact. A template, document, output, or project deliverable.\nAssumption. A factor in the planning process that is considered to be true, real, or certain, without \nproof or demonstration.Assumption and Constraint Analysis. An assessment that ensures assumptions and constraints \nare integrated into the project plans and documents, and that there is consistency among them.Assumption Log. A project document used to record all assumptions and constraints throughout \nthe project.Authority. The right to apply project resources, expend funds, make decisions, or give approvals.\nBacklog. An ordered list of work to be done.\nBacklog Refinement.\n Progressive elaboration of the content in the backlog and (re)prioritization \nof it to identify the work that can be accomplished in an upcoming iteration.Baseline. The approved version of a work product, used as a basis for comparison to actual results.\nPMI Seventh Edition July 2021236\nPMBOK® GuideBasis of Estimates. Supporting documentation outlining the details used in establishing project \nestimates such as assumptions, constraints, level of detail, ranges, and con fidence levels.\nBenchmarking. The comparison of actual or planned products, processes, and practices to those \nof comparable organizations to identify best practices, generate ideas for improvement, and provide \na basis for measuring performance.\nBenefits Management Plan. The documented explanation defining the processes for creating, \nmaximizing, and sustaining the benefits provided by a project or program.\nBid Documents. All documents used to solicit information, quotations, or proposals from \nprospective sellers.\nBidder Conference. The meetings with prospective sellers prior to the preparation of a bid \nor proposal to ensure all prospective vendors have a clear and common understanding of the \nprocurement. Also known as contractor conferences, vendor conferences, or pre-bid conferences.\nBlocker. See impediment .\nBudget. The approved estimate for the project or any work breakdown structure (WBS) component \nor any schedule activity.\nBudget at Completion (BAC). The sum of all budgets established for the work to be performed.\nBurn Chart. A graphical representation of the work remaining in a timebox or the work completed \ntoward the release of a product or project deliverable.\nBusiness Case. A value proposition for a proposed project that may include financial and \nnonfinancial benefits.\nBusiness Model Canvas. A one-page, visual summary that describes the value proposition, \ninfrastructure, customers, and finances. These are often used in Lean Startup situations.\nBusiness Value. The net quantifiable benefit derived from a business endeavor that may be tangible, \nintangible, or both.\nCadence. A rhythm of activities conducted throughout the project.\nCause-and-Effect Diagram. A visual representation that helps trace an undesirable effect back to its \nroot cause.\nChange. A modification to any formally controlled deliverable, project management plan component, \nor project document.\nChange Control. A process whereby modifications to documents, deliverables, or baselines \nassociated with the project are identified, documented, approved, or rejected.\nChange Control Board (CCB). A formally chartered group responsible for reviewing, evaluating, \napproving, delaying, or rejecting changes to the project, and for recording and communicating \nsuch decisions.\nChange Control Plan. A component of the project management plan that establishes the change \ncontrol board, documents the extent of its authority, and describes how the change control system \nwill be implemented.\nPMI Seventh Edition July 2021237\nGlossaryChange Control System. A set of procedures that describes how modifications to the project \ndeliverables and documentation are managed and controlled.\nChange Log. A comprehensive list of changes submitted during the project and their current status.Change Management. A comprehensive, cyclic, and structured approach for transitioning individuals, \ngroups, and organizations from a current state to a future state with intended business benefits.\nChange Request. A formal proposal to modify a document, deliverable, or baseline.Charter. See project charter .\nCheck Sheet. A tally sheet that can be used as a checklist when gathering data.Closing Process Group. The process(es) performed to formally complete or close a project, phase, \nor contract.Communications Management Plan. A component of the project, program, or portfolio \nmanagement plan that describes how, when, and by whom information about the project will be \nadministered and disseminated.\nComplexity.\n A characteristic of a program or project or its environment that is difficult to manage \ndue to human behavior, system behavior, and ambiguity.Confirmation Bias. A type of cognitive bias that confirms preexisting beliefs or hypotheses.\nConformance. The degree to which the results meet the set quality requirements.\nConstraint. A limiting factor that affects the execution of a project, program, portfolio, or process.\nContingency. An event or occurrence that could affect the execution of the project, which may be \naccounted for with a reserve.Contingency Reserve. Time or money allocated in the schedule or cost baseline for known risks with \nactive response strategies.Continuous Delivery. The practice of delivering feature increments immediately to customers, often \nthrough the use of small batches of work and automation technology.Contract. A mutually binding agreement that obligates the seller to provide the specified product, \nservice, or result and obligates the buyer to pay for it.Control. The process of comparing actual performance with planned performance, analyzing \nvariances, assessing trends to effect process improvements, evaluating possible alternatives, and \nrecommending appropriate corrective action as needed.\nControl Chart. A graphic display of process data over time and against established control limits, \nwhich has a centerline that assists in detecting a trend of plotted values toward either control limit.Cost Baseline. The approved version of the time-phased project budget, excluding any management \nreserves, which can be changed only through formal change control procedures and is used as a basis \nfor comparison to actual results.\nCost-Benefit Analysis. A financial analysis method used to determine the benefits provided by \na project against its costs.\nPMI Seventh Edition July 2021238\nPMBOK® GuideCost Management Plan. A component of a project or program management plan that describes \nhow costs will be planned, structured, and controlled.\nCost of Quality (COQ). All costs incurred over the life of the product by investment in preventing \nnonconformance to requirements, appraisal of the pro duct or service for conformance to requirements, \nand failure to me et requirements.\nCost Performance Index (CPI). A measure of the cost efficiency of budgeted resources expressed \nas the ratio of earned value to actual cost.\nCost Plus Award Fee Contract (CPAF). A category of contract that involves payments to the seller for \nall legitimate actual costs incurred for completed work, plus an award fee representing seller pro fit.\nCost Plus Fixed Fee Contract (CPFF). A type of cost-reimbursable contract where the buyer \nreimburses the seller for the seller’s allowable costs (allowable costs are de fined by the contract) \nplus a fixed amount of profit (fee).\nCost Plus Incentive Fee Contract (CPIF). A type of cost-reimbursable contract where the buyer \nreimburses the seller for the seller’s allowable costs (allowable costs are de fined by the contract), \nand the seller earns its profit if it meets defined performance criteria.\nCost-Reimbursable Contract. A type of co ntract involving payment to the seller for the seller’s \nactual costs, plus a fee typic ally representing the seller’s pro fit.\nCost Variance (CV). The amount of budget deficit or surplus at a given point in time, expressed \nas the difference between the earned value and the actual cost.\nCrashing. A method used to shorten the schedule duration for the least incremental cost by \nadding resources.\nCriteria. Standards, rules, or tests on which a judgment or decision can be based or by which \na product, service, result, or process can be evaluated.\nCritical Path. The sequence of activities that represents the longest path through a project, which \ndetermines the shortest possible duration.\nCritical Path Method (CPM). A method used to estimate the minimum project duration and \ndetermine the amount of schedule flexibility on the logical network paths within the schedule model.\nCumulative Flow Diagram (CFD). A chart indicating features completed over time, features in other \nstates of development, and those in the backlog.\nCycle Time. The total elapsed time fro m the start of a particular activity or work item to i ts completion.\nCycle Time Chart. A diagram that shows the average cycle time of the work items completed \nover time.\nDaily Standup. A brief, daily collaboration meeting in which the team reviews progress from the \nprevious day, declares intentions for the current day, and highlights any obstacles encountered \nor anticipated.\nDashboard. A set of charts and graphs showing progress or performance against important \nmeasures of the project.\nPMI Seventh Edition July 2021239\nGlossaryData Gathering and Analysis Methods. Methods used to collect, assess, and evaluate data and \ninformation to gain a deeper understanding of a situation.\nDecision Tree Analysis. A diagramming and calculation method for evaluating the implications \nof a chain of multiple options in the presence of uncertainty.Decomposition. A method used for dividing and subdividing the project scope and project \ndeliverables into smaller, more manageable parts.Definition of Done (DoD). A checklist of all the criteria required to be met so that a deliverable can \nbe considered ready for customer use.Deliverable.\n Any unique and verifiable product, result, or capability to perform a service that is \nrequired to be produced to complete a process, phase, or project.Delivery Performance Domain. The performance domain that addresses activities and functions \nassociated with delivering the scope and quality that the project was undertaken to achieve.Development Approach. A method used to create and evolve the product, service, or result during \nthe project life cycle, such as a predictive, iterative, incremental, agile, or hybrid method.\nDevelopment Approach and Life Cycle Performance Domain. The performance domain that \naddresses activities and functions associated with the development approach, cadence, and life cycle phases of the project.\nDevOps. A collection of practices for creating a smooth flow of deliveries by improving collaboration \nbetween development and operations staff.\nDigital Product. A product or service that is delivered, used, and stored in an electronic format.\nDiscretionary Dependency. A relationship that is based on best practices or project preferences.\nDuration. The total number of work periods required to complete an activity or work breakdown \nstructure component, expressed in hours, days, or weeks. Contrast with effort.\nEarned Value (EV). The measure of work performed expressed in terms of the budget authorized \nfor that work.Earned Value Analysis (EVA).\n An analysis method that uses a set of measures associated with scope, \nschedule, and cost to determine the cost and schedule performance of a project.Effort. The number of labor units required to complete a schedule activity or work breakdown \nstructure component, often expressed in hours, days, or weeks. Contrast with duration.\nEmotional Intelligence. The ability to identify, assess, and manage the personal emotions of oneself \nand other people, as well as the collective emotions of groups of people.\nEnterprise Environmental Factors (EEF). Conditions, not under the immediate control of the team, \nthat influence, constrain, or direct the project, program, or portfolio.Epic. A large, related body of work intended to hierarchically organize a set of requirements and \ndeliver specific business outcomes.\nEstimate. A quantitative assessment of the likely amount or outcome of a variable, such as project \ncosts, resources, effort, or durations.\nPMI Seventh Edition July 2021240\nPMBOK® GuideEstimate at Completion (EAC). The expected total cost of completing all work expressed as the sum \nof the actual cost to date and the estimate to complete.\nEstimate to Complete (ETC). The expected cost to finish all the remaining project work. \nEstimating Methods. Methods used to develop an approximation of work, time, or cost on a project. \nExecuting Process Group. Those processes performed to complete the work defined in the project \nmanagement plan to satisfy the project requirements.\nExpected Monetary Value (EMV). The estimated value of an outcome expressed in monetary terms.\nExplicit Knowledge. Knowledge that can be codified using symbols such as words, numbers, \nand pictures.\nExternal Dependency. A relationship between project activities and non-project activities.\nFast Tracking. A schedule compression method in which activities or phases normally done \nin sequence are performed in parallel for at least a portion of their duration.\nFeature. A set of related requirements or functionalities that provides value to an organization.\nFirm Fixed Price Contract (FFP). A type of fixed-price contract where the buyer pays the seller a set \namount (as defined by the contract), regardless of the seller’s costs.\nFixed Duration. A type of activity where the length of time required to complete the activity remains \nconstant regardless of the number of people or resources assigned to the activity.\nFixed-Price Contract. An agreement that sets the fee that will be paid for a defined scope of work \nregardless of the cost or effort to deliver it.\nFixed Price Incentive Fee Contract (FPIF). A type of contract where the buyer pays the seller a set \namount (as defined by the contract), and the seller can earn an additional amount if the seller meets \ndefined performance criteria.\nFixed Price with Economic Price Adjustment Contract (FPEPA). A fixed-price contract, but with \na special provision allowing for predefined final adjustments to the contract price due to changed \nconditions, such as inflation changes, or cost increases (or decreases) for specific commodities.\nFlow. The measure of how efficiently work moves through a given process or framework.\nFlowchart. The depiction in a diagram format of the inputs, process actions, and outputs of one \nor more processes within a system.\nForecast. An estimate or prediction of conditions and events in the project’s future based on \ninformation and knowledge available at the time of the forecast.\nFunction Point. An estimate of the amount of business functionality in an information system, \nused to calculate the functional size measurement of a software system.\nGantt Chart. A bar chart of schedule information where activities are listed on the vertical axis, \ndates are shown on the horizontal axis, and activity durations are shown as horizontal bars placed \naccording to start and finish dates.\nGovernance. The framework for directing and enabling an organization through its established \npolicies, practices, and other relevant documentation.\nPMI Seventh Edition July 2021241\nGlossaryGrade. A category or rank used to distinguish items that have the same functional use but do not \nshare the same requirements for quality.\nHierarchy Chart. A chart that begins with high-level information that is progressively decomposed \ninto lower levels of detail.Histogram. A bar chart that shows the graphical representation of numerical data.\nHybrid Approach. A combination of two or more agile and nonagile elements, having a nonagile \nend result.\nImpact Mapping. A strategic planning method that serves as a visual roadmap for the organization \nduring product development.\nImpediment. An obstacle that prevents the team from achieving its objectives. Also known \nas a \nblocker.\nIncremental Approach. An adaptive development approach in which the deliverable is produced \nsuccessively, adding functionality until the deliverable contains the necessary and sufficient capability \nto be considered complete.\nIndefinite Delivery Indefinite Quantity (IDIQ). A contract that provides for an indefinite quantity \nof goods or services, with a stated lower and upper limit, within a fixed time period.Influence Diagram. A graphical representation of situations showing causal influen\nces, time ordering \nof events, and other relationships among variables and outcomes.Information Radiator. A visible, physical display that provides information to the rest of the \norganization, enabling timely knowledge sharing.Initiating Process Group. Those processes performed to define a new project or a new phase \nof an existing project by obtaining authorization to start the project or phase.Internal Dependency.\n A relationship between two or more project activities.\nInterpersonal Skills. Skills used to establish and maintain relationships with other people.\nIssue. A current condition or situation that may have an impact on the project objectives.Issue Log. A project document where information about issues is recorded and monitored.Iteration. A timeboxed cycle of development on a product or deliverable in which all of the work \nthat is needed to deliver value is performed.Iteration Plan. A detailed plan for the current iteration.\nIteration Planning. A meeting to clarify the details of the backlog items, acceptance criteria, and \nwork effort required to meet an upcoming iteration commitment.Iteration Review.\n A meeting held at the end of an iteration to demonstrate the work that was \naccomplished during the iteration.Iterative Approach. A development approach that focuses on an initial, simplified implementation \nthen progressively elaborates adding to the feature set until the final deliverable is complete.\nKanban Board. A visualization tool that shows work in progress to help identify bottlenecks and \novercommitments, thereby allowing the team to optimize the workflow.\nPMI Seventh Edition July 2021242\nPMBOK® GuideKickoff Meeting. A gathering of team members and other key stakeholders at the outset of a project \nto formally set expectations, gain a common understanding, and commence work.\nKnowledge. A mixture of experience, values and beliefs, contextual information, intuition, \nand insight that people use to make sense of new experiences and information.\nLag. The amount of time whereby a successor activity will be delayed with respect to \na predecessor activity.\nLast Responsible Moment. The concept of deferring a decision to allow the team to consider \nmultiple options until the cost of further delay would exceed the bene fit.\nLead. The amount of time whereby a successor activity can be advanced with respect to \na predecessor activity.\nLead Time. The time between a customer request and the actual delivery.\nLead Time Chart. A diagram showing the trend over time of the average lead time of the items \ncompleted in work.\nLean Startup Canvas. A one-page template designed to communicate a business plan with key \nstakeholders in an efficient and effective manner.\nLessons Learned. The knowledge gained during a project, which shows how project events were \naddressed or should be addressed in the future, for the purpose of improving future performance.\nLessons Learned Register. A project document used to record knowledge gained during a project, \nphase, or iteration so that it can be used to improve future performance for the team and the \norganization.\nLife Cycle. See project life cycle.\nLife Cycle Assessment (LCA). A tool used to evaluate the total environmental impact of a product, \nprocess, or system.\nLog. A document used to record and describe or denote selected items identi fied during execution \nof a process or activity. Usually used with a modifier, such as issue, change, or assumption.\nMake-or-Buy Analysis. The process of gathering and organizing data about product requirements \nand analyzing them against available alternatives including the purchase or internal manufacture \nof the product.\nManagement Reserve. An amount of the project budget or project schedule held outside of the \nperformance measurement baseline fo r management control purposes that is reserved for unforeseen \nwork that is wit hin the project s cope.\nMandatory Dependency. A relationship that is contractually required or inherent in the nature \nof the work.\nMeasurement Performance Domain. The performance domain that addresses activities and \nfunctions associated with assessing project performance and taking appropriate actions to maintain \nacceptable performance.\nMeasures of Performance. Measures that characterize physical or functional attributes relating \nto system operation.\nPMI Seventh Edition July 2021243\nGlossaryMethod. A means for achieving an outcome, output, result, or project deliverable.\nMethodology. A system of practices, techniques, procedures, and rules used by those who work \nin a discipline.Metric.\n A description of a project or product attribute and how to measure it.\nMilestone. A significant point or event in a project, program, or portfolio.Milestone Schedule. A type of schedule that presents milestones with planned dates.Minimum Viable Product (MVP). A concept used to define the scope of the first release of a solution \nto customers by identifying the fewest number of features or requirements that would deliver value.\nModeling. Creating simplified representations of systems, solutions, or deliverables, such as prototypes, \ndiagrams, or storyboards.\nMonitor. Collect project performance data, produce performance measures, and report and \ndisseminate performance information.Monitoring and Controlling Process Group. Those processes required to track, review, and regulate \nthe progress and performance of the project; identify any areas in which changes to the plan are required; and initiate corresponding changes.\nMonte Carlo Simulation. A method of identifying the potential impacts of risk and uncertainty using \nmultiple iterations of a computer model to develop a probability distribution of a range of outcomes \nthat could result from a decision or course of action.\nMood Chart. A visualization chart for tracking moods or reactions to identify areas for improvement.Multipoint Estimating. A method used to estimate cost or duration by applying an average \nor weighted average of optimistic, pessimistic, and most likely estimates when there is uncertainty \nwith the individual activity estimates.\nNet Promoter Score\n®. An index that measures the willingness of customers to recommend \nan organization’s products or services to others.Network Path.\n A sequence of activities connected by logical relationships in a project schedule \nnetwork diagram.Objective. Something toward which work is to be directed, a strategic position to be attained, \na purpose to be achieved, a result to be obtained, a product to be produced, or a service \nto be performed.Opportunity. A risk that would have a positive effect on one or more project objectives.\nOrganizational Breakdown Structure (OBS).\n A hierarchical representation of the project \norganization, which illustrates the relationship between project activities and the organizational \nunits that will perform those activities.Organizational Process Assets (OPA).\n Plans, processes, policies, procedures, and knowledge bases \nthat are specific to and used by the performing organization.Osmotic Communication. Means of receiving information without direct communication \nby overhearing and through nonverbal cues.\nPMI Seventh Edition July 2021244\nPMBOK® GuideOutcome. An end result or consequence of a process or project.\nParametric Estimating. An estimating method in which an algorithm is used to calculate cost \nor duration based on historical data and project parameters.\nPerformance Measurement Baseline (PMB). Integrated scope, schedule, and cost baselines used \nfor comparison to manage, measure, and control project execution.\nPhase Gate. A review at the e nd of a phase in which a decision i s made to continue to the next phase , \nto continue with modification, or t o end a project or program.\nPlan. A proposed means of accomplishing something.\nPlanned Value (PV). The authorized budget assigned to scheduled work.\nPlanning Performance Domain. The performance domain that addresses activities and functions \nassociated with the initial, ongoing, and evolving organization and coordination necessary for \ndelivering project deliverables and results.\nPlanning Process Group. Those processes required to establish the scope of the project, re fine \nthe objectives, and define the course of action required to attain the objectives that the project was \nundertaken to achieve.\nPortfolio. Projects, programs, subsidiary portfolios, and operations managed as a group to achieve \nstrategic objectives.\nPortfolio Management. The centralized management of one or more portfolios to achieve \nstrategic objectives.\nPrecision. Within the quality management system, precision is an assessment of exactness.\nPredictive Approach. A development approach in which the project scope, time, and cost are \ndetermined in the early phases of the life cycle.\nPrioritization Matrix. A scatter diagram that plots effort against value so as to classify items \nby priority.\nPrioritization Schema. Methods used to prioritize portfolio, program, or project components, \nas well as requirements, risks, features, or other product information.\nProbabilistic Estimating. A method used to develop a range of estimates along with the associated \nprobabilities within that range.\nProbability and Impact Matrix. A grid for mapping the probability of occurrence of each risk \nand its impact on project objectives if that risk occurs.\nProcurement Management Plan. A component of the project or program management plan \nthat describes how a project team will acquire goods and services from outside of the performing \norganization.\nProduct. An artifact that is produced, is quantifiable, and can be either an end item in itself \nor a component item.\nProduct Breakdown Structure. A hierarchical structure reflecting a product’s components \nand deliverables.\nPMI Seventh Edition July 2021245\nGlossaryProduct Life Cycle. A series of phases that represent the evolution of a product, from concept \nthrough delivery, growth, maturity, and to retirement.\nProduct Management. The integration of people, data, processes, and business systems to create, \nmaintain, and evolve a product or service throughout its life cycle.\nProduct Owner. A person responsible for maximizing the value of the product and accountable \nfor the end product.Product Scope.\n The features and functions that characterize a product, service, or result.\nProgram. Related projects, subsidiary programs, and program activities that are managed in \na coordinated manner to obtain benefits not available from managing them individually.Program Management.\n The application of knowledge, skills, and principles to a program to \nachieve the program objectives and obtain benefits and control not available by managing program \ncomponents individually.\nProgressive Elaboration. The iterative process of increasing the level of detail in a project manage -\nment plan as greater amounts of information and more accurate estimates become available.Project. A temporary endeavor undertaken to create a unique product, service, or result.\nProject Brief. A high-level overview of the goals, deliverables, and processes for the project.Project Calendar. A calendar that identifies working days and shifts that are available for \nscheduled activities.Project Charter. A document issued by the project initiator or sponsor that formally authorizes the \nexistence of a project and provides the project manager with the authority to apply organizational \nresources to project activities.\nProject Governance. The framework, functions, and processes that guide project management \nactivities in order to create a unique product, service, or result to meet organizational, strategic, \nand operational goals.Project Lead. A person who helps the project team to achieve the project objectives, typically \nby orchestrating the work of the project. See also project manager .\nProject Life Cycle.\n The series of phases that a project passes through from its start to its completion.\nProject Management. The application of knowledge, skills, tools, and techniques to project activities \nto meet the project requirements.\nProject Management Body of Knowledge (PMBOK). A term that describes the knowledge within \nthe profession of project management. Project Management Office (PMO). A management structure that standardizes the project-related \ngovernance processes and facilitates the sharing of resources, methodologies, tools, and techniques.Project Management Plan. The document that describes how the project will be executed, \nmonitored and controlled, and closed.\nProject Management Process Group. A logical grouping of project management inputs, tools and \ntechniques, and outputs. The Project Management Process Groups include Initiating processes, Planning processes, Executing processes, Monitoring and Controlling processes, and Closing processes.\nPMI Seventh Edition July 2021246\nPMBOK® GuideProject Management Team. The members of the project team who are directly involved in project \nmanagement activities.\nProject Manager. The person assigned by the performing organization to lead the team that \nis responsible for achieving the project objectives. See also project lead .\nProject Phase. A collection of logically related project activities that culminates in the completion \nof one or more deliverables.\nProject Review. An event at the end of a phase or project to assess the status, evaluate the value \ndelivered, and determine if the project is ready to move to the next phase or transition to operations.\nProject Schedule. An output of a schedule model that presents linked activities with planned dates, \ndurations, milestones, and resources.\nProject Schedule Network Diagram. A graphical representation of the logical relationships among \nthe project schedule activities.\nProject Scope. The work performed to deliver a product, service, or result with the speci fied features \nand functions.\nProject Scope Statement. The description of the project scope, major deliverables, and exclusions.\nProject Team. A set of individuals performing the work of the project to achieve its objectives.\nProject Vision Statement. A concise, high-level description of the project that states the purpose \nand inspires the team to contribute to the project.\nProject Work Performance Domain. The performance domain that addresses activities and \nfunctions associated with establishing project processes, managing physical resources, and fostering \na learning environment.\nPrototype. A working model used to obtain early feedback on the expected product before actually \nbuilding it.\nQuality. The degree to which a set of inherent characteristics fulfills requirements.\nQuality Management Plan. A component of the project or program management plan that \ndescribes how applicable policies, procedures, and guidelines will be implemented to achieve the \nquality objectives.\nQuality Metrics. A description of a project or product attribute and how to measure it.\nQua lity Policy. The basic principle s that should govern the o rganizati on’s actions as it impleme nts \nits system for quality management.\nQuality Report. A project document that includes quality management issues, recommendations \nfor corrective actions, and a summary of findings from quality control activities and may include \nrecommendations for process, project, and product improvements.\nRegister. A written record of regular entries for evolving aspects of a project, such as risks, \nstakeholders, or defects.\nRegression Analysis. An analytical method where a series of input variables are examined in relation \nto their corresponding output results in order to develop a mathematical or statistical relationship.\nPMI Seventh Edition July 2021247\nGlossaryRegulations. Requirements imposed by a governmental body. These requirements can establish \nproduct, process, or service characteristics, including applicable administrative provisions that have \ngovernment-mandated compliance.\nRelative Estimating. A method for creating estimates that are derived from performing a comparison \nagainst a similar body of work, taking effort, complexity, and uncertainty into consideration.Release. One or more components of one or more products, which are intended to be put into \nproduction at the same time.\nRelease Plan. The plan that sets expectations for the dates, features, and/or outcomes expected \nto be delivered over the course of multiple iterations.Release Planning. The process of identifying a high-level plan for releasing or transitioning a product,\n \ndeliverable, or increment of value.Report. A formal record or summary of information.Requirement. A condition or capability that is necessary to be present in a product, service, or result \nto satisfy a business need.\nRequirements Documentation. A record of product requirements and other product information, \nalong with whatever is recorded to manage it.Requirements Management Plan. A component of the project or program management plan that \ndescribes how requirements will be analyzed, documented, and managed.\nRequirements Traceability Matrix. A grid that links product requirements from their origin to the \ndeliverables that satisfy them.Reserve. A provision in the project management plan to mitigate cost and/or schedule risk, often \nused with a modifier (e.g., management reserve, contingency reserve) to provide further detail on what types of risk are meant to be mitigated.\nReserve Analysis. A method used to evaluate the amount of risk on the project and the amount \nof schedule and budget reserve to determine whether the reserve is sufficient for the remaining risk.Resource Breakdown Structure. A hierarchical representation of resources by category and type.\nResource Management Plan. A component of the project management plan that describes how \nproject resources are acquired, allocated, monitored, and controlled.\nResponsibility. An assignment that can be delegated within a project management plan such that \nthe assigned resource incurs a duty to perform the requirements of the assignment.Responsibility Assignment Matrix (RAM). A grid that shows the project resources assigned to each \nwork package.Result. An output from performing project management processes and activities. See also deliverable.\nRetrospective. A regularly occurring workshop in which participants explore their work and results \nin order to improve both the process and product.\nRework. Action taken to bring a defective or nonconforming component into compliance with \nrequirements or specifications.\nPMI Seventh Edition July 2021248\nPMBOK® GuideRisk. An uncertain event or conditio n that, if it occurs, has a po sitive or negative effect on one or more \nproject objectives.\nRisk Acceptance. A risk response strategy whereby the project team decides to acknowledge the risk \nand not take any action unless the risk occurs.\nRisk-Adjusted Backlog. A backlog that includes product work and actions to address threats and \nopportunities.\nRisk Appetite. The degree of uncertainty an organization or individual is willing to accept in \nanticipation of a reward.\nRisk Avoidance. A risk response strategy whereby the project team acts to eliminate the threat \nor protect the project from its impact.\nRisk Breakdown Structure (RBS). A hierarchical representation of potential sources of risks.\nRisk Enhancement. A risk response strategy whereby the project team acts to increase the \nprobability of occurrence or impact of an opportunity.\nRisk Escalation. A risk response strategy whereby the team acknowledges that a risk is outside \nof its sphere of influence and shifts the ownership of the risk to a higher level of the organization \nwhere it is more effectively managed.\nRisk Exploiting. A risk response strategy whereby the project team acts to ensure that an \nopportunity occurs.\nRisk Exposure. An aggregate measure of the potential impact of all risks at any given point in time \nin a project, program, or portfolio.\nRisk Management Plan. A component of the project, program, or portfolio management plan that \ndescribes how risk management activities will be structured and performed.\nRisk Mitigation. A risk response strategy whereby the project team acts to decrease the probability \nof occurrence or impact of a threat.\nRisk Register. A repository in which outputs of risk management processes are recorded.\nRisk Report. A project document that summarizes information on individual project risks and the \nlevel of overall project risk.\nRisk Review. The process of analyzing the status of existing risks and identifying new risks. May also \nbe known as risk reassessment .\nRisk Sharing. A ri sk response st rategy whereby the project team allocates ownership of an opportunity \nto a third part y who is best able to capture the benefit of that opportunity.\nRisk Threshold. The measure of ac ceptable variation around an object ive that refle cts the risk appetite \nof the organizat ion and stake holders. See also r isk appetite.\nRisk Transference. A risk response strategy whereby the project team shifts the impact of a threat \nto a third party, together with ownership of the response.\nRoadmap. A high-level time line that depicts such things as milestones, signi ficant events, reviews, \nand decision points.\nPMI Seventh Edition July 2021249\nGlossaryRole. A defined function to be performed by a project team member, such as testing, filing, \ninspecting, or coding.\nRolling Wave Planning. An iterative planning method in which the work to be accomplished in the \nnear term is planned in detail, while the work in the future is planned at a higher level.Root Cause Analysis. An analytical method used to determine the basic underlying reason that \ncauses a variance or a defect or a risk.Scatter Diagram. A graph that shows the relationship between two variables.Schedule. See project schedule .\nSchedule Baseline. The approved version of a schedule model that can be changed using formal \nchange control procedures and is used as the basis for comparison to actual results.\nSchedule Compression. A method used to shorten the schedule duration without reducing \nthe project scope.Schedule Forecasts.\n Estimates or predictions of conditions and events in the project’s future based \non information and knowledge available at the time the schedule is calculated.Schedule Management Plan. A component of the project or program management plan that \nestablishes the criteria and the activities for developing, monitoring, and controlling the schedule.\nSchedule Model. A representation of the plan for executing the project’s activities including durations, \ndependencies, and other planning information, used to produce a project schedule along with other scheduling artifacts.\nSchedule Performance Index (SPI). A measure of schedule efficiency expressed as the ratio \nof earned value to planned value.Schedule Variance (SV).\n A measure of schedule performance expressed as the difference between \nthe earned value and the planned value.Scope. The sum of the products, services, and results to be provided as a project. See also project \nscope and product scope .\nScope Baseline. The approved version of a scope statement, work breakdown structure (WBS), \nand its associated WBS dictionary that can be changed using formal change control procedures and \nis used as the basis for comparison to actual results.\nScope Creep. The uncontrolled expansion to product or project scope without adjustments to time, \ncost, and resources.Scope Management Plan. A component of the project or program management plan that describes \nhow the scope will be defined, developed, monitored, controlled, and validated.\nS-Curve. A graph that displays cumulative costs over a specified period of time.Self-Organizing Team. A cross-functional team in which people assume leadership as needed \nto achieve the team’s objectives.Sensitivity Analysis. An analysis method to determine which individual project risks or other \nsources of uncertainty have the most potential impact on project outcomes by correlating variations \nin project outcomes with variations in elements of a quantitative risk analysis model.\nPMI Seventh Edition July 2021250\nPMBOK® GuideServant Leadership. The practice of leading the te am by focusing o n understanding and \naddressing the needs and development of team members in order to enable the highest possible \nteam performance.\nSimulation. An analytical method that models the combined effect of uncertainties to evaluate their \npotential impact on objectives.\nSingle-Point Estimating. An estimating method that involves using data to calculate a single value \nwhich reflects a best guess estimate.\nSpecification. A precise statement of the needs to be satis fied and the essential characteristics that \nare required.\nSponsor. A person or group who provides resources and support for the project, program, o r portfolio \nand is accountable for enabling success.\nSprint. A short time interval within a project during which a usable and potentially releasable \nincrement of the product is created. See also iteration.\nStakeholder. An individual, group, or organization that may affect, be affected by, or perceive itself \nto be affected by a decision, activity, or outcome of a project, program, or portfolio.\nStakeholder Analysis. A metho d of systematical ly gathering and analyzing quantitative and qualitat ive \ninformation to de termine whose int erests should be taken into account throughout the project.\nStakeholder Engagement Assessment Matrix. A matrix that compares current and desired \nstakeholder engagement levels.\nStakeholder Engagement Plan. A component of the project management plan that identifies the \nstrategies and actions required to promote productive involvement of stakeholders in project or \nprogram decision making and execution.\nStakeholder Performance Domain. The performance domain that addresses activities and \nfunctions associated with stakeholders.\nStakeholder Register. A project document that includes information about project stakeholders \nincluding an assessment and classification of project stakeholders.\nStandard. A document establishe d by an authority, custom, or general consent as a model or example.\nStatement of Work (SOW). A narrative description of products, services, or results to be delivered \nby the project.\nStatus Meeting. A regularly scheduled meeting to e xchange and analyze informatio n about the current \nprogress of the project and its performance.\nStatus Report. A report on the current status of the project.\nSteering Committee. An advisory body of senior stakeholders who provide direction and support \nfor the project team and make decisions outside the project team’s authority.\nStory Map. A visual model of all the features and functionality desired for a given product, created \nto give the team a holistic view of what they are building and why.\nStory Point. A unit used to estimate the relative level of effort needed to implement a user story.\nPMI Seventh Edition July 2021251\nGlossaryStrategic Plan. A high-level document that explains an organization’s vision and mission plus the \napproach that will be adopted to achieve this mission and vision, including the specific goals and objectives to be achieved during the period covered by the document.\nStrategy Artifacts. Documents created prior to or at the start of the project that address strategic, \nbusiness, or high-level information about the project.\nSwarm. A method in which multiple team members focus collectively on resolving a specific problem \nor task.\nSWOT Analysis. Analysis of strengths, weaknesses, opportunities, and threats of an organization, \nproject, or option.\nTacit Knowledge. Personal knowledge that can be difficult to articulate and share such as beliefs, \nexperience, and insights.\nTailoring. The deliberate adaptation of approach, governance, and processes to make them more \nsuitable for the given environment and the work at hand.Task Board. A visual representation of the progress of the planned work that allows everyone to see \nthe status of the tasks.\nTeam Charter. A document that records the team values, agreements, and operating guidelines, \nas well as establishes clear expectations regarding acceptable behavior by project team members.Team Performance Domain. The performance domain that addresses activities and functions \nassociated with the people who are responsible for producing project deliverables that realize \nbusiness outcomes.\nTechnical Performance Measures. Quantifiable measures of technical performance that are used \nto ensure system components meet the technical requirements.Template. A partially complete document in a predefined format that provides a defined structure \nfor collecting, organizing, and presenting information and data.\nTest Plan. A document describing deliverables that will be tested, tests that will be conducted, and \nthe processes that will be used in testing.\nThreat. A risk that would have a negative effect on one or more project objectives.Threshold. A predetermined value of a measurable project variable that represents a limit that \nrequires action to be taken if it is reached.Throughput. The number of items passing through a process.\nThroughput Chart. A diagram that shows the accepted deliverables over time.\nTime and Materials Contract (T&M). A type of contract that is a hybrid contractual arrangement \ncontaining aspects of both cost-reimbursable and fixed-price contracts.\nTimebox. A short, fixed period of time in which work is to be completed.Tolerance. The quantified description of acceptable variation for a quality requirement.\nTrend Analysis. An analytical method that uses mathematical models to forecast future outcomes \nbased on historical results.\nPMI Seventh Edition July 2021252\nPMBOK® GuideTriple Bottom Line. A framework for considering the full cost of doing business by evaluating \na company’s bottom line from the perspective of profit, people, and the planet.\nUncertainty. A lack of understanding and awareness of issues, events, path to follow, or solutions \nto pursue.\nUncertainty Domain. The performance domain that addresses activities and functions associated \nwith risk and uncertainty.\nUse Case. An artifact for describing and exploring how a user interacts with a system to achieve \na specific goal.\nUser Story. A brief description o f an outcome for a specific user, which is a promise for a convers ation \nto clarify details.\nValidation. The assurance that a product, service, or result meets the needs of the customer and \nother identified stakeholders. See also verification.\nValue. The worth, importance, or usefulness of something.\nValue Delivery Office (VDO). A project delivery support structure that focuses on coaching teams; \nbuilding agile skills and capabilities throughout the organization; and mentoring sponsors and \nproduct owners to be more effective in those roles.\nValue Delivery System. A collection of strategic business activities aimed at building, sustaining, \nand/or advancing an organization.\nValue Proposition. The value of a product or service that an organization communicates \nto its customers.\nValue Stream Map. A display of the critical steps in a process and the time taken in each step used \nto identify waste.\nValue Stream Mapping. A lean enterprise method used to document, analyze, and improve the flow \nof information or materials required to produce a product or service for a customer.\nVanity Metric. A measure that appears to show some result but does not provide useful information \nfor making decisions.\nVariance. A quantifiable deviation, departure, or divergence away from a known baseline \nor expected value.\nVariance Analysis. A method for determining the cause and degree of difference between the \nbaseline and actual performance.\nVariance at Completion (VAC). A projection of the amount of budget deficit or surplus, expressed \nas the difference between the budget at completion and the estimate at completion.\nVelocity. A measure of a team’s productivity rate at which the deliverables are produced, validated, \nand accepted within a predefined interval.\nVelocity Chart. A chart that tracks the rate at which the deliverables are produced, validated, and \naccepted within a predefined interval.\nVerification. The evaluation of whether or not a product, service, or result compli es with a regulation, \nrequirement, specification, or imposed condition. See also validation.\nPMI Seventh Edition July 2021253\nGlossaryVirtual Team. A group of people with a shared goal who work in different locations and who engage \nwith each other primarily through phone and other electronic communications.\nVision Statement. A summarized, high-level description about the expectations for a product such as \ntarget market, users, major benefits, and what differentiates the product from others in the market.\nVisual Data and Information. Artifacts that organize and present data and information in a visual \nformat, such as charts, graphs, matrices, and diagrams.Voice of the Customer. A planning method used to provide products, services, and results that truly \nreflect customer requirements by translating those customer requirements into the appropriate \ntechnical requirements for each phase of project or product development.\nVolatility. The possibility for rapid and unpredictable change.\nWaste. Activities that consume resources and/or time without adding value.WBS Dictionary. A document that provides detailed deliverable, activity, and scheduling information \nabout each component in the work breakdown structure.\nWhat-If-Scenario Analysis. The process of evaluating scenarios in order to predict their effect on \nproject objectives.Wideband Delphi. An estimating method in which subject matter experts go through multiple \nrounds of producing estimates individually, with a team discussion after each round, until \na consensus is achieved.\nWork Breakdown Structure (WBS). A hierarchical decomposition of the total scope of work \nto be carried out by the project team to accomplish the project objectives and create the required \ndeliverables.\nWork Package. The work defined at the lowest level of the work breakdown structure for which cost \nand duration are estimated and managed.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021255\nIndexIndex\nA\nAccountability, sponsors and, 208\nAccuracy\ndefinition, 52estimating and, 55\nAchievement, theory of needs and, 159Active listening, 12, 21Activity list, 192Actual cost compared to planned cost, 100Adaptability, high-performing project teams \nand, 22\nAdaptive development approach, 38, 45, 49, 53Adaptive schedule planning, 81, 82ADKAR\n® Model, 161\nAffiliation, theory of needs and, 159Affinity diagram, 188Affinity grouping, 178Agile approaches, 38Agile Center of Excellence (ACoE), 212Agile charter, 84Agile methods\nadaptive approach and, 50development approach and, 49flow-based scheduling and, 45organization and, 41\nAgreements. See also Contract(s); Service level \nagreement\ncontracts and, 191\nAlignment\nPlanning Performance Domain, 67\nAlternatives analysis, 122, 174Ambiguity\ndefinition, 117solutions for, 120types of, 120Uncertainty Performance Domain, 120\nAnalogous estimating, 178Analytical techniques, 176–177Appraisal costs, 88Approach, win-win perspective and, 170Artifacts, 184–195 \nagreements, 191applied across performance domains, 192–195baselines, 188communication, 79contracts, 191definition, 153hierarchy charts, 187logs and registers, 185other important, 192overview, 153–155plans, 186–187reports, 190strategy, 184tailoring, 136visual data and information, 188–190\nAssignment matrix, 189Assumption and constraint analysis, 174Assumption log, 185Assumption(s), 20, 24, 121Attribute(s), tailoring and, 141Audits, 115\nprocess, 72, 79, 87procurement, 79quality, 88\nAutonomy, 159Avoidance, threat, 123, 126\nPMI Seventh Edition July 2021256\nPMBOK® GuideB\nBAC. See Budget at completion\nBacklog, 45, 62, 76, 96, 185Backlog refinement meeting, 179Balance\ncompeting constraints and, 72reframing and, 111\nBar chart, 106Baseline(s), 188. See also Cost baseline; Scope \nbaseline\ndefinition, 93\nBaseline performance, 100–101Basic ordering agreement (BOA), 191Basis of estimates, 20, 54Behavior\nproject management principles and, 146sponsors, 209\nBenchmarking, 175Benefit-cost ratio, 102Benefits realization, PMO and, 214Best practices, benchmarking and, 175Bias(es)\nconfirmation bias, 112conscious and unconscious, 20\nBidder conferences, 70, 75, 179Bid documents, 70, 75, 192Bid process, 75Big picture perspective, 207, 213Big visible charts (BVCs), 108Bottlenecks, 71Brainstorming, 13, 22, 121Budget\nbudget build up, 62–63definition, 52, 188Planning Performance Domain, 62–63\nBudget at completion (BAC), 104–105Burn charts, 108, 109, 111Burndown/burnup chart, 188Burndown chart, 108, 109Burnup chart, 108, 109, 111“Business as usual,” 163Business case\nbusiness value and, 102definition, 184delivery cadence and, 50description of, 82feasibility phase and, 42outcomes and, 175planning and, 54as strategy artifact, 184value and, 82\nBusiness case document, 22Business justification analysis methods, 175Business model canvas, 184Business value, 82Business value measurements, 82Buyer\nagreements, contracts and, 191bid process and, 75\nC\nCadence\ndefinition, 33delivery, 33–34Development Approach and Life Cycle Performance Domain, 33–34, 46–48life cycle, development and, 33, 55\nCalendar, project, 192Capabilities, PMO and, 213, 214Cause-and-effect diagram, 188Celebrating success, 21Change(s)\ncost of, 90–91culture of, 214ease of, 408-Step Process for Leading, 162, 173monitoring new work and, 76–77Planning Performance Domain, 66transitions associated with, 164\nChange control\nchanges and, 66checking results and, 68\nChange control board (CCB), 68, 77, 169, 183, 186Change control plan, 186Change control system, 107Change log, 185Change management, 213\nPMI Seventh Edition July 2021257\nIndexChange models, 160–164\n8-Step Process for Leading Change, 162\nADKAR® Model, 161\nTransition Model, 164Virginia Satir Change Model, 163\nChange request(s), 77Chaos, 163Character, win-win perspective and, 170Chart(s)\nbig visible charts (BVCs), 108burn, 108, 109burndown, 108burnup, 108types of, other, 109\nCheck, sponsor and, 209Checking outcomes\nDelivery Performance Domain, 92Development Approach and Life Cycle Performance Domain, 50Measurement Performance Domain, 115Planning Performance Domain, 68Project Work Performance Domain, 79Stakeholder Performance Domain, 15Team Performance Domain, 31Uncertainty Performance Domain, 129\nChecklists, 174Check sheet, 175Close phase, 47Closing Process Group, 171Collaboration\ndistributed project teams and, 30high-performing project teams and, 22\nColocated teams, 135, 142, 147Combined burn chart, 108Common situations, tailoring and, 151Communication\nchannels, 157conversation, 14, 156, 192cross-cultural, 157discourse, positive, 21engagement and, 73high-performing project teams and, 22interactive, 13nonverbal, 26open, 22Planning Performance Domain, 64Project Work Performance Domain, 73sponsors and, 209styles, 157types of, 13written, 72, 73\nCommunication artifacts, 79Communication models, 157–158\ncommunication channels, effectiveness of, 157cross-cultural communication, 157gulf of evaluation, 158gulf of execution, 158\nCommunication planning, 64Communications management plan, 79, 186Community action patrol (CAP) training, 45Community center\ndevelopment approaches, 36, 38, 39life cycle, 48\nCompetence, 156, 213Complaints, 89Completion, moving targets of, 85–87Completion criteria, 85Complexity, 120–121\ndefinition, 117process-based, 121reframing, 121systems-based, 121Uncertainty Performance Domain, 120–121\nComplexity models, 164–165\nCynefin framework, 164–165Stacey matrix, 165\nCompliance\nproduct/deliverable and, 142\nConceptual ambiguity, 120Confidence, 55Confirmation bias, 112Conflict management, 29Conflict model, 168–169Conformance\nappraisal and, 88cost of quality and, 81, 175process, 71\nConstraints, balancing competing, 72Contingency plans, 119, 123Contingency reserve, 62, 63, 127. See also \nReserve analysis\nPMI Seventh Edition July 2021258\nPMBOK® GuideContinuous delivery\ndescription of, 34\nsupporting strategies for, 222\nContinuous development, 218Continuous digital approach, 34Continuous improvement, 139, 213, 214Contracting processes, 75–76Contractor conferences. See Bidder conferencesContracts, 191. See also Agreements\nControl chart, 106Controlling, monitoring and, 171Conversation, 14, 156, 192COQ. See Cost of quality\nCorrective action, 190Correlation versus causation, 112Cost(s)\nactual, 100appraisal, 88change and, 90–91external failure, 89failure, 88, 89internal failure, 89prevention, 88\nCost baseline, 62, 63, 188Cost-benefit analysis, 175Cost-benefit ratio, 102Cost estimates, 62, 63, 105Cost management plan, 186Cost of change, 90–91Cost of quality (COQ), 88–89\nappraisal, 88data gathering and analysis, 175definition, 81Delivery Performance Domain, 88–89external failure, 89internal failure, 89prevention, 88\nCost performance index (CPI), 100, 104Cost plus award fee (CPAF), 191Cost plus fixed fee (CPFF), 191Cost plus incentive fee (CPIF), 191Cost-reimbursable contracts, 191Cost reserve, 122Cost variance (CV), 80Courage, 21CPAF. See Cost plus award feeCPFF. See Cost plus fixed feeCPI. See Cost performance indexCPIF. See Cost plus incentive feeCrashing, 52Criteria\nacceptance, 42, 82, 85completion, 85entry, 46exit, 42, 46, 50requirements elicitation and, 83\nCritical path, 100Critical success factor, 207Critical thinking, 24Cross-cultural communication model, 157Culture\norganization and, 41, 143tailoring for project, 143team, 20\nCumulative flow diagram (CFD), 188Customer centricity, 131, 219, 225Customer-centric organizations, 225Customer focus, 208Customer requests, 66Customer satisfaction, 95, 112CV.See Cost variance\nCycle time chart, 189Cynefin framework, 164–165\nD\nDaily scrum, 179Daily standup, 127, 179Dashboards, 106–107\ndefinition, 93,visual data and, 189\nData analysis, outputs of, 174Data gathering and analysis, 174–177Decision making, 27–28\ngroup-based, 28sponsors and, 208\nDecision tree analysis, 175Decomposition. See also Work breakdown \nstructure (WBS)\nscope, 84\nPMI Seventh Edition July 2021259\nIndexDecoupling, 121\nDefect(s)\nexternal failure costs and, 89integrity and, 20internal failure costs and, 89metrics and, 97, 98prevention of, 68reputation and, 69\nDefinition of done (DoD), 81, 85Deliverable(s)\ncompletion of, 85definition, 33, 82degree of innovation and, 39\nDelivery Performance Domain, 82–87\ndevelopment approach for, 50hybrid approach and, 36lagging indicators and, 96project, 54requirements, 82–83tailoring for project, 142\nDelivery cadence, 32–34, 46–50\nDevelopment Approach and Life Cycle Performance Domain, 46–48\nDelivery/deliveries\ncontinuous, 34measurements of, 99models, 221multiple, 34ongoing delivery model and, 221options for, 40periodic, 34Planning Performance Domain, 54project management office (PMO) and, 213single delivery, 34\nDelivery Performance Domain, 80–92\ndefinitions relevant to, 81deliverables, 82–87interactions with other performance \ndomains, 91outcomes, checking, 92outcomes, desired, 80outcomes, suboptimal, 91overview, 80–81quality, 87–91tailoring considerations, 149value, delivery of, 81–82Demoralization, 112Dependencies, types of, 60Deploy phase, 47Design, set-based, 119Design reviews, 127Desired outcomes\nMeasurement Performance Domain, 93Uncertainty Performance Domain, 116\nDevelopment and delivery approach, tailoring \nand, 137\nDevelopment Approach and Life Cycle \nPerformance Domain, 32–50\naligning delivery cadence, development approach, and life cycle, 46–49definitions relevant to, 33delivery cadence, 33–34development, cadence, and life cycle relationship, 33development approaches, 35–41interactions with other performance domains, 49–50life cycle and phase definitions, 42–45outcomes and, 32, 50overview, 32tailoring and, 148, 150\nDevelopment approaches, 35–39\nadaptive approach, 38community center and, 36, 38, 39considerations for selection of, 39–41hybrid approach, 36incremental development, 37iterative development, 37planning variables and, 53predictive approach, 35–36spectrum view of, 35tailoring process and, 138\nDevelopment life cycle, 89Development phase, 47DevOps approach, 34Diagnostics, tailoring and, 151Discourse, positive, 21Discretionary dependency, 60Diversion shield, 18Diversity, reframing and, 121\nPMI Seventh Edition July 2021260\nPMBOK® GuideDocument(s)\nbid, 70, 75, 192\nbusiness, 82business case document, 82project, 62project-authorizing, 82\nDocumentation\nrequirements, 83, 192written communication, 73\nDomains. See Performance domains; Project \nperformance domains\nDrexler/Sibbet Team Performance Model, 167Duration, 52, 62, 224\neffort and, 100\nDuration estimates, 105\nE\nEAC. See Estimate at completionEarned value (EV), 100, 101Earned value analysis (EVA)\ndefinition, 176schedule and cost variance, 101\nEarned value management (EVM), 100, 104, 105Effort, 100\n8-Step Process for Leading Change, 162, 173\nEmotional intelligence (EI), 25–27\ncomponents of, 27key areas, 26\nEmpowerment\nculture and, 143high-performing project teams and, 22tailoring engagement and, 136\nEMV. See Expected monetary value (EMV)Encouragement, development opportunities \nand, 18\nEngage, 121Engagement. \nSee also Stakeholder engagement\ncommunication and, 73lack of, sponsor and, 208Project Work Performance Domain, 73tailoring, 136Enterprise-level PMO (EPMO), 212Environment\nproduct, 222tailoring and, 154\nEnvironmental considerations, 53, 129Escalation\nthreats and, 123\nEstimate(s). See also Basis of estimates\nanalogous, 178definition, 52parametric, 178\nEstimate at completion (EAC), 104, 105Estimate to complete (ETC), 104, 105Estimating, 55–58\nabsolute, 57adjusting estimates for uncertainty, 58deterministic, 57flow-based, 58life cycle phase and, 55low accuracy, high precision, 56Planning Performance Domain, 55–58probabilistic, 57range decreasing over time, 56relative, 57, 58\nEstimating methods, 178EVA. See Earned value analysisEVM. See Earned value managementException plan\ndefinition, 114triggering of, 113\nExecuting Process Group, 171Expected monetary value (EMV), 116, 126, 176Expert judgment, 104. See also Subject matter \nexperts (SMEs)\nExplicit knowledge, 70, 77–78External dependency, 60External failure costs, 89Extrinsic motivation, 159\nPMI Seventh Edition July 2021261\nIndexF\nFail safe, 121\nFailure analysis, 89Failure costs\ninternal and external, 89noncompliance and, 88\nFast tracking, 52, 59, 60Feasibility, 42, 43Feature completion rates, 100Feedback loops, 13, 161Fees, contracts and, 91FFP. See Firm fixed priceFinance, 221Finish date, 100Finish-to-finish relationship, 59Finish-to-start relationship, 59Firm fixed price (FFP), 191Fist of five voting, 28Fixed-price contracts, 191Fixed price incentive fee (FPIF), 191Fixed price with economic price adjustment \n(FPEPA), 191\nFlow-based estimating, 58Flow-based projects, 109Flow-based scheduling, 45Flowchart, 189Focus groups, 83, 174Forecasting, 104–105\ndata gathering and analysis, 176methods, 32, 160–161\nForming, storming, norming, performing, \nadjourning, 166\nFPIF. \nSee Fixed price incentive fee\nFFP. See Firm fixed priceFunction point, 178Funding, 224\navailability of, 41incremental, 222, 223limitations, 62project processes and, 71requirements, 46G\nGantt chart, 189Globalization/global environment\ncross-cultural communication, 157distributed project teams, 30\nGlobal market shifts, 219–221Good practices, 165, 180, 212Governance. See also Organizational governance\ndevelopment approach and, 148project, 87tailoring, and, 131, 139\nGroup(s).\nexternal, 140Process Groups, 170–171\nGrowth, 19Guidance, 19Gulf of evaluation, 158Gulf of execution, 158\nH\nHawthorne effect, 112Hierarchical charts, 187High-level requirements, 39High-performing project teams, 22Histogram, 175, 189Historical information, 149Holistic thinking approach, 51, 68, 89Holistic view, 98, 190Hybrid development approach, 33, 36Hygiene factors, 158\nI\nID. See Activity identifierIdea, transforming, 163Identified risks, 127Identify step, stakeholder engagement, 11IDIQ. See Indefinite delivery indefinite quantity\nImpact mapping, 181Improvement, continuous, 139, 213, 214Incremental development approach, 37, 44Incremental guidance and funding, 223\nPMI Seventh Edition July 2021262\nPMBOK® GuideIndefinite delivery indefinite quantity (IDIQ), 191\nIndicators. See Key performance indicators (KPIs)Individual project risk, 177, 190Industry/industries\nmarket and, 142traditional product, 224\nInfluence\ndevelopment approach and, 39, 40, 41leadership and, 29sponsors and, 209\nInfluence diagram, 176Information\ngathering, 119historical, 149Measurement Performance Domain, 106–111presenting, 106–111\nInformation radiator, 108, 109Initiating Process Group, 171Initiatives, critical, 214Innovation\ndegree of, 39\nInput(s)\nflow of deliveries and, 45Process Groups and, 171\nInputs, tools/techniques, and outputs (ITTOs), 6Inspection, 42, 47, 88, 89Integration\npractice and, 163tailoring engagement and, 136\nIntegrity, 20Intellectual property, 75Interactions, performance domains\nDelivery Performance Domain, 91Development Approach and Life Cycle Performance Domain, 49–50Measurement Performance Domain, 114–115Planning Performance Domain, 67Project Work Performance Domain, 78Stakeholder Performance Domain, 14Team Performance Domain, 31Uncertainty Performance Domain, 128\nInternal dependency, 60Internal failure costs, 89Internal rate of return (IRR), 175Interpersonal skills, 25–29\nsoft skills, 12stakeholder engagement and, 12types of, 23–29\nIntrinsic motivation, 159IRR. See Internal rate of returnIssue log, 185Iterate, 121Iteration, 44–45, 53Iteration plan, 61, 186Iteration planning meeting, 179Iteration review, 179Iterative development, 37Iterative process, 120ITTOs. See Inputs, tools/techniques, and outputs\nJ\nJob shadowing, 78Judgment. See Expert judgment\nJust-in-time scheduling approach, 45\nK\nKanban boards, 109, 110Kanban scheduling system, 45Key performance indicators (KPIs), 95–96Key stakeholders, 11, 23, 44, 167, 179Kickoff meeting, 179, 183Knowledge\nexplicit, 70, 77–78tacit, 77–78\nKnowledge management, 77Knowledge management repository, 149Knowledge transfer, 213KPIs. See Key performance indicators\nL\nLagging indicators, 96Lags, leads and, 59Late start and finish dates, 100\nPMI Seventh Edition July 2021263\nIndexLeadership\ncentralized management and, 17\ndistributed management and, 17–18styles and, 30team, 17–19\nLeadership skills, 23–29\ncritical thinking, 24interpersonal skills, 25–29motivation, 24–25team, 23–29vision, establishing and maintaining, 23\nLeadership styles, tailoring, 30Leading indicators, 96Leads, lags and, 59Lead time chart, 189Lean production methods, 71Lean scheduling approach, 45Learning throughout project\nexplicit and tacit knowledge, 77–78knowledge management, 77\nLegal requirements, 118, 149Legal restrictions, 54Lessons learned. See also Retrospectives\nmeetings, 127, 180retrospectives or, 71tailoring and, 151\nLessons learned register, 185Life cycle. See also Predictive life cycle; Product \nlife cycle; Project life cycle\nadaptive development approach, 45community center, 48development, 89Development Approach and Life Cycle Performance Domain, 42–45incremental development approach, 44phase definitions and, 42–45phases in, 42, 46–48predictive, 43, 49tailoring and, 150\nLife cycle and development approach, tailoring \nand, 134\nLife cycle assessment, 176Logs and registers, 185M\nMake-or-buy analysis, 65, 176Management\nchange, 213conflict, 29project team, leadership and, 17–19requirements and, 83self-management, 26, 27\nManagement reserve, 127Mandatory dependency, 60Market conditions, 54Market shifts, global, 219–221Master project schedule, 74Mastery, 159Materials, environment and, 53Measurement(s). See also Metrics\nbaseline performance, 100–101business value, 102delivery, 99effective, establishment of, 95–105forecasts, 104–105key performance indicators (KPIs), 95–96pitfalls, 111–112resources, 101stakeholders, 103–104what to measure, 98–105\nMeasurement Performance Domain, 93–115\nchecking results, 115definitions relevant to, 93effective measures, establishment of, 95–105establishing effective measures, 95–105growing and improving, 114interactions with other performance \ndomains, 114–115measurement pitfalls, 111–112outcomes, checking, 115outcomes, desired, 93overview, 93–95presenting information, 106–111tailoring considerations, 150troubleshooting performance, 113–114what to measure, 98–105\nMedia richness, 157\nPMI Seventh Edition July 2021264\nPMBOK® GuideMeetings\nbidder conference, 70, 179\nchange control, 179events and, 179–180retrospectives/lessons learned, 71, 127, 179risk review and, 127standup, 127, 179types of, 179–180\nMemorandum of agreement (MOA), 191Memorandum of understanding (MOU), 191Methods, 174–181\napplied across performance domains, 181–183data gathering and analysis, 174–177definition, 153estimating, 178impact mapping, 181meetings and events, 179–180modeling, 181Net Promoter Score\n® (NPS®), 181\noverview, 153–155prioritization schema, 181tailoring, 136timebox, 181\nMetrics. See also Measurement Performance \nDomain; Measurement(s)\ndefinition, 93, 192deliverable, 98effective, 97misuse of, 112Planning Performance Domain, 66SMART criteria, 97vanity metric, 112work performance, 66\nMilestones, roadmap and, 184Milestone schedule, 188. See also Master \nproject schedule\nModeling, 181Models. See also\n Change models; Communication \nmodels; Complexity models; Motivation models; Negotiation models\napplied across performance domains, 112–113commonly used, 95–98conflict, 168–169definition, 153mapping of, performance domains and, 173OSCAR model, 156overview, 153–155planning, 170Process Groups, 170–171project team development, 166–167Salience Model, 171situational leadership, 155–156win-win perspective and, 169, 170\nMonitoring\ncontrolling and, 171new work and changes, 76–77\nMonitoring and Controlling Process Group, 171Monte Carlo simulation, 177Mood chart, 103Morale, 104, 112MoSCoW, 181Motivation\nemotional intelligence and, 27leadership skills and, 24–25sponsors and, 210\nMotivation models, 158–160\nhygiene and motivational factors, 158intrinsic versus extrinsic motivation, 159theory of needs, 159Theory X, Theory Y, and Theory Z, 160\nMOA. See Memorandum of agreement\nMOU. See Memorandum of understandingMulticriteria weighted analysis, 181Multipoint estimating, 178\nN\nNegative risks (threats), 121, 122Negotiation models, 169–171\nplanning, 170Process Groups, 170–171win-win perspective and, 169, 170\nNet present value (NPV), 102, 175Net Promoter Score\n® (NPS®), 103, 181\nNetworking, 78Network logic, 59Network path, 59Nonconformance, prevention of, 81, 175Non-value-added work, 71, 72, 99Nonverbal communication, 26NPV. See Net present value\nPMI Seventh Edition July 2021265\nIndexO\nObjectives, vision and, 18\nOBS. See Organizational breakdown structure\nObstacle removal, 18Ongoing provision and payment, 220–221Opportunities\ndevelopment, 18strategies for, 125\nOrganization(s)\ncustomer-centric, 225customers and, relationship between, 220tailoring for, 139–140\nOrganizational breakdown structure (OBS), 187Organizational capability, 41Organizational culture, 41, 143. See also Culture\nOrganizational factors, tailoring and, 140Organizational governance\nstructures, 30tailoring and, 152\nOrganizational requirements, 54Organizational strategy, 212Organizational structure(s). See also Project \nmanagement office (PMO)\ndescription of, 41governance, 30\nOSCAR model, 156Outcome(s). See also Checking outcomes; \nDesired outcomes\nchecking results and, 68multiple, preparing for, 119outcomes-oriented capabilities, 213project management office (PMO) and, 213suboptimal, 91\nOutput(s). See also Inputs, tools/techniques, \nand outputs\ndata analysis and, 174Process Groups and, 171\nOverall project risk, 122Overlapping project phases, 50Ownership, shared, 22P\nParameters, 98, 178Parametric estimating, 178Partner, sponsor as, 209Payback period, 175Payment, ongoing provision and, 220–221PBP. See Payback periodPeople, tailoring engagement and, 136Performance. See also Key performance \nindicators (KPIs)\nbaseline, 100–101, 188Measurement Performance Domain, 113–114reviews, 68\nPerformance domains. See also Project \nperformance domains\nartifacts applied across, 192–195Delivery Performance Domain, 80–92Development Approach and Life Cycle Performance Domain, 32–50mapping of artifacts and, 193–195mapping of methods and, 182–183mapping of models used in each, 173Measurement Performance Domain, 93–115methods applied across, 181–183models applied across, 172–173Planning Performance Domain, 51–68project management principles and, 4Project Work Performance Domain, 69–79Stakeholder Performance Domain, 8–15Team Performance Domain, 16–31Uncertainty Performance Domain, 116–129\nPerspective, project management office (PMO) \nand, 213\nPhase. See Project phase(s)Phase definitions, life cycle and, 42–45Phase gate reviews, 42, 46, 47Physical resources\nmanagement of, 73–74planning for, 65Planning Performance Domain, 65Project Work Performance Domain, 73–74\nPie charts, 106Plan(s), 186–187\nexception plan, 113, 114\nPMI Seventh Edition July 2021266\nPMBOK® GuidePlanned benefits delivery compared to actual \nbenefits delivery, 102\nPlanned resource cost compared to actual \nresource cost, 101\nPlanned resource utilization compared to actual \nresource utilization, 101\nPlanned value (PV), 100, 101\nPlanning\nhigh-level, 52negotiation models and, 170\nPlanning meeting, 180Planning Performance Domain, 51–68\nalignment, 67changes, 66checking results, 68communication, 64definitions relevant to, 52interactions with other performance \ndomains, 67metrics, 66outcomes, checking, 68outcomes, desired, 51physical resources, 65planning overview, 52–53planning variables, 53–63procurement, 65project team composition and structure, 63–64tailoring considerations, 148\nPlanning Process Group, 171Planning overview, 52–53Planning variables, 53–63\nbudget, 62–63delivery and, 54estimating and, 55–58schedules, 58–62\nPM. See Project managerPMIstandards+, 6, 174PMO. See Project management office (PMO)Portfolio leaders, 95Positive risks (opportunities), 122Power, theory of needs and, 159Pre-bid conferences, 70, 179Precision\ndefinition, 52description of, 55level of, 56Predecessor, 59Predictive developmental approach, 35–36Predictive life cycle, 43, 49Presentations, 73Presenting information, 106–111\ndashboards, 106–107information radiators, 108visual controls, 109–111\nPrevention costs, 88Prioritization matrix, 189Prioritization schema, 181Prioritize, stakeholder engagement, 12Probabilistic estimating, 57Probability and impact matrix, 176Probability distributions, 57, 177Problem solving, 21, 29, 168Process analysis, 176Process-based approach, 171Process-based complexity, 121Process(es)\nadding, removing and changing, 144conformance and, 71environment and, 53groups of, 170project, 71–72smart and simple, 214tailoring, 137–145\nProcess Groups, negotiation models and, 170Process tailoring, 71, 135Procurement(s)\nbid process, 75contracting, 75–76Planning Performance Domain, 65Project Work Performance Domain, 74–76working with, 74–76\nProcurement audit, 79Procurement management plan, 186Procurement strategy, 46Product(s)\ndefinition, 218development approach and, 39–40digital, 34final, 82global market shifts, 219–221organizational considerations and, 221–225\nPMI Seventh Edition July 2021267\nIndexproject delivery practices and, 221\nsoftware addition to more, 225tailoring for project, 142transition, views and, 217–218unique characteristics of, 224value views and, 217\nProduct backlog, 76, 185Product breakdown structure, 187Product environment, continuous value delivery \nand, 222\nProduct life cycle\ndefinition, 218\nProduct management\ndefinition, 218global business trends and, 219organizational considerations, 221–225views of, 218\nProduct owner, 76Product requirements\nelicitation of, 50make-or-buy analysis and, 176requirements documentation and, 192requirements traceability matrix and, 189\nProduct reviews, 14Product roadmap, 61Product scope, 54Product vision, 61Program management\ncontinuous value delivery and, 222plans and, 186–187structures, utilization of, 223–225\nProgram manager, 14Programs, unique characteristics of, 224\nongoing improvement and, 144\nProject(s)\ndevelopment approach and, 40–41Development Approach and Life Cycle \nPerformance Domain, 40–41\nexperience with type of, 30learning throughout, 77–78performance domains and, 7process-based approach, 171tailoring for, 141–144uniqueness and, 224Project-authorizing documents, 82Project brief, as strategy artifact, 184Project budget component, 62, 63Project calendar, 192Project charter\nclose phase and, 47start up and, 46as strategy artifact, 184\nProject closeout meeting, 180Project communications, engagement and, 73Project communications management plan, \n79, 186\nProject context, tailoring to fit, 146, 154Project deliverables, 54Project delivery practices, 221Project documents, 52Project execution. See Executing Process GroupProject factors, tailoring and, 140Project life cycle\nbusiness value and, 102definition, 33deliverables and, 81developmental approaches and, 32, 35, 148outcomes, checking, 50Process Groups and, 170products extending beyond, 218project phases and, 42tailoring and, 131\nProject management office (PMO), 211–215\nbenefits realization and, 214key capabilities of, 213learning more about, 215value delivery office (VDO), and, 140value proposition for, 211–213\nProject management plan\ndefinition, 186executing process and, 171integrated, large projects and, 67as overarching plan, 186progressive elaboration and, 120\nProject management principles\nperformance domains and, 4tailoring to fit project, 154\nProject management team, 16. See also Project \nteam(s)\nPMI Seventh Edition July 2021268\nPMBOK® GuideProject manager (PM). See also Competencies; \nLeadership skills\nconflict models and, 168, 169\ndefinition, 16location and, 64monitoring new work and, 76, 77project charter and, 184project processes and, 71project team formation and, 17risk responses and, 126sponsor role and, 207tailoring and, 140team culture and, 20–21\nProject performance domains. See also \nPerformance domains\ndefinition, 7delivery, 80–82development approach and life cycle, 32–50measurement, 93–115number of, 7overview, 5, 7planning, 51–68project context and, 146project management and, 5, 146project work, 69–79stakeholder, 8–15tailoring and, 145–150, 154team, 16–31uncertainty, 116–129\nProject phase(s)\ndefinition, 33examples of, 42life cycle and, 42–45phase-gate review, 42Process Groups and, 170\nProject processes, 71–72Project requirements, 71Project review meeting, 180Project risk, uncertainty and, 119Project schedule, 188Project schedule network diagram, 189Project scope, 54Project size, 132, 139Project sponsor, 123, 125, 207. See also SponsorProject stakeholder(s)\nexamples of, 9internal, 39scope and, 82tailoring and, 152\nProject statement of work. See Statement of workProject success\ncommunication and, 157key performance indicators (KPIs) and, 95sponsors and, 207\nProject team(s). See also Team(s)\ndefinition, 16distributed, 30focus, maintaining, 73high-performing, 22maturity and, 30operations and, 19Planning Performance Domain, 63–64size and location of, 41tailoring and, 142, 147\nProject team charter, 19, 192Project team culture, 20–21Project team development models, 166–167\nDrexler/Sibbet Team Performance Model, 167Tuckman Ladder, 166\nProject team management and leadership, 17–19\ncentralized, 17distributed, 17–18team development, 18–19\nProject vision statement, 184Project Work Performance Domain, 69–79\nchecking results, 79communications and engagement, project, 73competing constraints, balancing, 72definitions relevant to, 70interactions with other performance domains, 78learning throughout project, 77–78monitoring new work and changes, 76–77outcomes, checking, 79outcomes, desired, 69overview, 69–70physical resources, managing, 73–74procurements, working with, 74–76project processes, 71–72project team focus, maintaining, 73tailoring considerations, 149\nPMI Seventh Edition July 2021269\nIndexProject work performance domain, 69–79\nProposals, 70. See also Request for proposal (RFP)\nbid documents and, 192\nProvision and payment, ongoing, 220–221Pull communication, 13Purpose, 159Push communication, 13PV. See Planned value\nQ\nQuality. See also Cost of quality (COQ)\ndefinition, 81Delivery Performance Domain, 87–91\nQuality assurance, 88Quality audits, 88Quality management plan, 186Quality management system, 52, 88Quality planning, 88Quality policy, 87Quality report, 190Quality requirements\nalignment and, 67appraisal costs and, 87cost of quality and, 88processes and, 72\nQuotations, 70, 192\nR\nRACI chart, 189Radiators, information, 108RAG (red-amber-green) charts, 106RAM. See Responsibility assignment matrixRange\ndescription of, 55time and material, 56\nRBS. See Resource breakdown structure; Risk \nbreakdown structure\nRCA. See Root cause analysisRecognition, high-performing project teams \nand, 22\nReframing, 121Regression analysis, 105, 176Regulations, 40Regulatory restrictions, 54Relative estimating, 178Release and iteration plan, 61Release plan, 61, 186Release planning meetings, 180Repairs, 89Report(s), 190. See also\n Quality report; Risk report\nReputation, 89Request for information (RFI), 75, 192Request for proposal (RFP), 75, 192Request for quotation (RFQ), 75, 192Requirement(s). See also Quality requirements\ndefinition, 81deliverables and, 82–83elicitation of, 111evolving and discovering, 83funding, 46high-level, 39management of, 83organizational, 54product, 50, 176, 189, 192project, 171safety, 40stakeholder, 54, 72well-documented, 83\nRequirement elicitation, 83Requirements certainty, 39Requirements documentation, 192. See also \nContract(s)\nRequirements elicitation, 83Requirements management, 83Requirements management plan, 186Requirements traceability matrix, 189Reserve, 122. See also Management reserveReserve analysis, 177. See also Contingency \nreserve\nResidual risk, 125Resilience\nbuilding in, 119high-performing project teams and, 22\nResource(s). See also Physical resources\nmeasurement of, 101sponsors and, 209\nResolution of conflicts, 29Resource breakdown structure, (RBS), 187\nPMI Seventh Edition July 2021270\nPMBOK® GuideResource management plan, 186\nResource requirements, 46Respect, 21Responsibility assignment matrix (RAM), 189Result(s). See also Checking outcomes; \nDeliverable(s)\ndevelopment approach and, 39–40internal failure and, 89\nRetrospectives, 127, 180. See also Lessons learned\nproject processes and, 71tailoring and, 151\nReturn on investment (ROI), 102, 175Returns, 89Reviews\ndesign, 127performance, 68phase gate, 42, 46, 47product, 14project, 180risk, 127tailoring and, 151\nRewards, 24, 158, 159Rework, 89RFI. See Request for informationRFP. See Request for proposalRFQ. See Request for quotationRisk(s), 122–127. \ndefinition, 117identification of, 122, 127levels of, 127, 128negative (threats), 121, 122opportunities, 122, 125overall project, 122products and, 40reduction of, over time, 124reserves for, 127residual, 125secondary, 125threats, 123–124uncertainty and, 119, 122Uncertainty Performance Domain, 122–127\nRisk-adjusted backlog, 185Risk-adjusted ROI curve, 126Risk appetite\nresponse planning and, 125risk thresholds and, 122uncertainty and, 150\nRisk breakdown structure (RBS), 187Risk exposure, 109, 122. See also Risk report\nRisk impact. See Probability and impact matrixRisk log, 108Risk management\nrisk register and, 185uncertainty and, 150\nRisk management plan, 186Risk register, 185Risk report, 190Risk review, 127, 180Roadmap, 184 ROI curve, risk-adjusted, 126Rolling wave planning, 49Roman voting, 28Root cause, 24, 96, 177, 188Root cause analysis, 177\nS\nSafety requirements, 40Salience Model, 171Scatter diagrams, 189Schedule(s), 58–62. See also Project schedule; \nSchedule model\nadaptive schedule planning, 61, 62fast tracking, 59, 60master project, 74Planning Performance Domain, 58–62predictive approaches, 58release and iteration plan, 61\nSchedule compression techniques, 52, 59Schedule constraints, 41Schedule management plan, 187Schedule model, 59, 188Schedule performance index (SPI), 100Schedule variance (SV), 100Scheduling\nadaptive methodologies and, 45effort, duration and, 62\nPMI Seventh Edition July 2021271\nIndexScope, 224. See also Product scope; Project scope\ndefinition, 84–85\nScope baseline\ndefinition, 188\npredictive projects and, 77\nScope change, 84Scope creep, 12, 83, 87, 213Scope decomposition, 84Scope definition, 84–85Scope management plan, 187Scope of work, WBS and, 81, 84Scope stability, 40Scope validation, 131Scrap, 89Scrum, daily, 179S-curve, 189Secondary risks, 125Self-awareness, 26, 27Self-management, 26, 27Sensitivity analysis, 177Servant leaders, 18Service(s)\ndevelopment approach and, 39–40global market shifts, 219–221\nService level agreement (SLA), 191Set-based design, 119Shared ownership, 22Shared understanding, 22Sharing, opportunity and, 125Simulation(s), 121, 177Single-point estimating, 178Situational ambiguity, 120Situational Leadership\n® II, 156\nSituational leadership models, 155–156Skills. See also Interpersonal skills\nleadership, 10, 23–29social, 26, 27soft, 12\nSLA. See Service level agreementSMART criteria, metrics and, 97Smart watch development, 86SMEs. See Subject matter expertsSocial awareness, 26, 27Social impact, 53Social skill, 26, 27Soft skills, 12Software\naddition to more products, 225development projects, 85enhanced value, 220\nSOW. See Statement of work\nSpend rates, planned and actual, 113SPI. See Schedule performance indexSponsor, 207–210. See also Project sponsor\nbehaviors, 209lack of engagement and, 208role of, 207–208\nSponsoring organization, 87, 116Sprint, 45. See also Iteration\nSprint planning meeting, 179SS. See Start-to-start relationshipStacey matrix, 165Stage gate, 14, 42Stakeholder(s). See also Project stakeholder(s)\ndefinition, 8examples of project, 9internal, 39key, 11, 23, 44, 167, 179Salience Model and, 171\nStakeholder analysis, 8, 177Stakeholder engagement\ncommunication methods and, 13engage, 12–14identify, 11monitor, 14navigating effective, 10prioritize, 12project performance domain and, 10–14Stakeholder Performance Domain, 10–14steps in, 10, 11understand and analyze, 11–12\nStakeholder engagement assessment matrix, \n189, 190\nStakeholder engagement plan, 187Stakeholder expectations, 28, 51, 68, 132Stakeholder identification, 10, 11, 63, 64, 171\nPMI Seventh Edition July 2021272\nPMBOK® GuideStakeholder Performance Domain, 8–15\nchecking results, 15\ndefinitions relevant to, 8interactions with other domains, 14outcomes, desired, 8overview, 8–10project stakeholders, examples of, 9stakeholder engagement, 10–14tailoring considerations, 147\nStakeholder register, 185Stakeholder requirements, 54, 72Stakeholder satisfaction\nmeasurement of, 103–104mood chart, 103\nStandup meetings, 127, 179Start date, 100Start-to-start relationship, 59Start up, 46Start-ups, 221Statement of work (SOW), 74, 87, 191Status meeting, 180Status quo, 163Status report, 190Steering committee, 180Stoplight charts, 106Story map, 190Story point estimating, 178Story points, 58, 119, 121. See also User stories\nStrategy artifacts, 184Strengths, weaknesses, opportunities, and \nthreats. See SWOT analysis\nSubject matter experts (SMEs), 6, 176. See also \nExpert judgment\nSuccess, 224. See also Project success\ncelebrating, 21\nSuccessor, 59Suitability filter, 138Supplier rating, 88Support, project manager and, 21Surveys, 103, 104Sustainability, 53SV. See Schedule varianceSWOT analysis, 177Systems-based complexity, 120–121T\nT&M. See Time and materialsTacit knowledge, 70, 77–78Tailoring\nalternative to, 132benefits, direct and indirect, 133common situations and suggestions, 151competing demands and, 132definition, 6, 131diagnostics, 151leadership styles, 30life cycle and development approach \nselection, 150organization and, 139–140overview, 131–132performance domains and, 145–150process, 71, 137–145process tailoring, 135for the project, 141–144project artifacts, 136project context and, 146, 154project factors and, 140reasons for, 133sponsors and, 209steps involved in, 145, 152summary, 152tool selection, 136what to tailor, 134–136\nTailoring for project, 141–145\nattributes and, 141culture and, 143ongoing improvement, 144product/deliverable, 142project team, 142\nTailoring performance domains, 145–150\ndelivery, 149development approach and life cycle, 148diagnostics, 151measurement, 150planning, 148project context and, 146project team, 147project work, 149stakeholders, 147uncertainty, 150\nPMI Seventh Edition July 2021273\nIndexTailoring process, 137–145\ninitial development approach, selecting, 138\nsteps in, details of, 137tailoring for the organization, 139–140tailoring for the project, 141–144\nTalent, 214Task boards, 109, 110Team(s). See also Project management team; \nProject team(s)\ncolocation of, 135, 142, 147high-performing project, 22stable, 222–223, 225\nTeam charter, project, 19, 192Team development, common aspects of, 18–19Team management, 17–19Team Performance Domain, 16–31\nchecking results, 31definitions relevant to, 16high-performing project teams, 22interactions with other domains, 31leadership skills, 23–29outcomes, desired, 16overview, 16project team culture, 20–21project team management and leadership, 17–19tailoring leadership styles, 30\nTechnical performance measures, 85Technology. See also Software\nautomation, 34deliverables and, 142distributed project teams and, 30Email, 13platform, in industry, 224trends, 85\nTemplates, 35, 132, 136, 153, 184Test phase, 47Test plan, 187Theory of needs, 159Theory X, Theory Y, and Theory Z, 160Thinking, critical, 24Threat(s)\ndefinition, 123strategies for, 123threat profile, 124Threshold\nbudget, 113–114tolerance, 96\nThroughput analysis, 105Throughput chart, 190Time and materials (T&M), 191Timeboxes, 62, 181Time fragmentation, 18To-complete performance index (TCPI), 105Tools. See also Software\nmethods and artifacts, 136suitability filter, 138tailoring and, 136\nTraceability matrices, 83Training, 88Transforming idea, 163Transition Model, 164Transparency, 20Trend(s)\nglobal business, 219–221leading indicators and, 96technology, 85\nTrend analysis, 177Triple bottom line, 53Troubleshooting performance, 113–114Trust\nculture and, 143high-performing project teams and, 22win-win perspective and, 170\nTuckman Ladder, 166Turnover, 104\nU\nUnblock, sponsor and, 209Uncertainty\nadjusting estimates for, 58definition, 117general, 119\nUncertainty Performance Domain, 116–129\nambiguity, 120complexity, 120–121definitions relevant to, 117interactions with other performance \ndomains, 128\nPMI Seventh Edition July 2021274\nPMBOK® Guideoutcomes, checking, 129\noutcomes, desired, 116overview, 116–118risk, 122–127tailoring considerations, 150uncertainty, general, 119volatility, 122\nUnderstand and analyze, stakeholders and, \n11–12\nUnderstanding, shared, 22Update(s)\nartifacts and, 171generic, 183\nUse case, 190User stories\ncustomer value and, 84decomposition and, 54definition, 192iteration plan and, 61story point estimating and, 178\nV\nVAC. See Variance at completionValue. See also Business value\ndelivery of, 81–82software-enhanced, 220\nValue analysis. See Earned value analysis (EVA)Value delivery\ncontinuous, 222Delivery Performance Domain, 81–82\nValue delivery office (VDO), 140, 141, 212Value stream map, 190Value stream mapping, 177Vanity metric, 112Variance(s), 68, 72, 94, 96, 101, 115, 188Variance analysis, 177Variance at completion (VAC), 105Variations, 121, 123, 177Velocity chart, 190Vendor conferences. See Bidder conferencesVerification, 88Virginia Satir Change Model, 163Vision\ndefining and sharing, 11establishing and maintaining, 23objectives and, 18sponsors and, 208\nVisual controls, 109–111. See also Chart(s)\nkanban boards, 110task boards, 110\nVisual data and information, 188–190Volatility, 117\nUncertainty Performance Domain, 122\nVoting, 28\nW\nWarranty claims, 89Waste, 89Waterfall approach, 15, 49WBS. See Work breakdown structure (WBS)\nWBS dictionary, 85, 188What-if scenario analysis, 177Wideband Delphi, 28, 178Win-win perspective, 169, 170Work\nnew work effort, 58non-value-added, 72\nWork breakdown structure (WBS)\ndecomposition and, 54, 84definition, 81, 187\nWork packages, 85, 189Work performance. See Project Work \nPerformance Domain\nWritten communication, 72. See also Email\nPMI Seventh Edition July 2021AND The St/a.alt2nd/a.alt2rd \nfor Project M/a.alt2n/a.alt2gementSeventh Edition\nA /G.alt1/u.alt1ide to the Project \nM/a.alt2n/a.alt2gement Bod/y.alt1 of /K.alt1nowledge\nPMBO/K.alt1®/G.alt1UIDE\nANSI/PMI 99/hyphen.case001/hyphen.case2021GLOBAL STANDARDPMBOK® Guide – Seventh Edition \nAND The Standard for Project Management\nOver the past few years, emerging technology, new approaches, and rapid market changes \ndisrupted our ways of working, driving the project management profession to evolve. Each industry, organization and project face unique challenges, and team members must adapt their approaches to successfully manage projects and deliver results.\nWith this in mind, A Guide to the Project Management Body of Knowledge (PMBOK\n® Guide) – \nSeventh Edition takes a deeper look into the fundamental concepts and constructs of the \nprofession. \nIncluding both The Standard for Project Management and the PMBOK® Guide , this edition \npresents 12 principles of project management and eight project performance domains \nthat are critical for effectively delivering project outcomes. \nThis edition of the PMBOK® Guide :\n•Reflects the full range of development approaches (predictive, traditional, adaptive,\nagile, hybrid, etc.);\n• Devotes an entire section to tailoring development approaches and processes;\n• Expands the list of tools and techniques in a new section, “Models, Methods, and\nArtifacts”;\n• Focuses on project outcomes, in addition to deliverables; and\n• Integrates with PMIstandards +™, giving users access to content that helps them apply\nthe PMBOK® Guide on the job.\nThe result is a modern guide that better enables project team members to be proactive, innovative, and nimble in delivering project outcomes.A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition \nand The Standard for Project Management\nProject Management Institute \nGlobal Headquarters \n14 Campus Boulevard \nNewtown Square, PA 19073 USA \nTel: +1 610 356 4600 \nPMI.org\nPMBOK_Guide_7thED_cover_spread.indd 1PMBOK_Guide_7thED_cover_spread.indd 1 5/3/21 4:57 PM5/3/21 4:57 PMPMI Seventh Edition July 2021" + } +} \ No newline at end of file diff --git a/local_neo4jWorkDir/kv_store_llm_response_cache.json b/local_neo4jWorkDir/kv_store_llm_response_cache.json new file mode 100644 index 00000000..90bb1d1a --- /dev/null +++ b/local_neo4jWorkDir/kv_store_llm_response_cache.json @@ -0,0 +1,1034 @@ +{ + "9ffdc03d5c3dbcdceecdc56540a7834e": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is a professional organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"technology\"<|>\"PMBOK Guide is a guide to project management knowledge and best practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a document that outlines the framework for project management.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location where the Project Management Institute is based.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management\"<|>\"The Project Management Institute is involved in the development and dissemination of project management knowledge and best practices.\"<|>\"professional organization, knowledge sharing\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"The Standard for Project Management\"<|>\"The Project Management Institute publishes The Standard for Project Management, which outlines the framework for project management.\"<|>\"publication, framework\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"The Project Management Institute publishes the PMBOK Guide, which is a guide to project management knowledge and best practices.\"<|>\"publication, guide\"<|>8)##\n(\"relationship\"<|>\"Project Management\"<|>\"Project\"<|>\"Project management is applied to the execution of projects, which are temporary endeavors undertaken to create a unique product, service, or result.\"<|>\"application, execution\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Washington\"<|>\"The Project Management Institute is based in Washington, which is a location with a significant presence of professional organizations and knowledge sharing activities.\"<|>\"location, professional organization\"<|>7)##\n(\"content_keywords\"<|>\"project management, knowledge sharing, professional organization\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ffb6fde16c5b0c1030868c14fbeb3b06": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person who is mentioned in the context of the Project Management Institute.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is not mentioned in the text.\") - Removed from the list \n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is not mentioned in the text.\") - Removed from the list\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is not mentioned in the text.\") - Removed from the list\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is not mentioned in the text.\") - Removed from the list\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is not mentioned in the text.\") - Removed from the list\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a person who is mentioned in the context of the team.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team refers to a group of people working together on a project.\")##\n(\"entity\"<|>\"Development Approaches\"<|>\"concept\"<|>\"Development Approaches refer to the various methods and techniques used in project management.\")##\n(\"entity\"<|>\"Predictive\"<|>\"concept\"<|>\"Predictive refers to a development approach that involves planning and forecasting.\")##\n(\"entity\"<|>\"Traditional\"<|>\"concept\"<|>\"Traditional refers to a development approach that involves a structured and sequential process.\")##\n(\"entity\"<|>\"Adaptive\"<|>\"concept\"<|>\"Adaptive refers to a development approach that involves flexibility and responsiveness to change.\")##\n(\"entity\"<|>\"Agile\"<|>\"concept\"<|>\"Agile refers to a development approach that involves iterative and incremental development.\")##\n(\"entity\"<|>\"Hybrid\"<|>\"concept\"<|>\"Hybrid refers to a development approach that combines elements of different approaches.\")##\n(\"entity\"<|>\"Models, Methods, and Artifacts\"<|>\"technology\"<|>\"Models, Methods, and Artifacts refer to the tools and techniques used in project management.\")##\n(\"entity\"<|>\"Project Outcomes\"<|>\"concept\"<|>\"Project Outcomes refer to the results and benefits achieved through a project.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables refer to the tangible products or services produced by a project.\")", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "01022038bbca0db088228c6d3bdd07fe": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the publisher of the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"technology\"<|>\"The PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Independent Publishers Group\"<|>\"organization\"<|>\"Independent Publishers Group is the distributor of the PMBOK Guide.\")##\n(\"entity\"<|>\"United States of America\"<|>\"geo\"<|>\"The PMBOK Guide is printed in the United States of America.\")##\n(\"entity\"<|>\"Chicago, IL\"<|>\"geo\"<|>\"Independent Publishers Group is located in Chicago, IL.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMI\"<|>\"The Project Management Institute and PMI are the same organization, with PMI being an abbreviation.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"The Project Management Institute publishes the PMBOK Guide.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"The Standard for Project Management\"<|>\"The Project Management Institute publishes The Standard for Project Management.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Independent Publishers Group\"<|>\"The Project Management Institute uses Independent Publishers Group as a distributor.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"PMI is associated with the PMBOK Guide.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The Standard for Project Management\"<|>\"PMI is associated with The Standard for Project Management.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Independent Publishers Group\"<|>\"PMI uses Independent Publishers Group as a distributor.\")##\n(\"relationship\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"The Standard for Project Management\"<|>\"The PMBOK Guide and The Standard for Project Management are related technologies.\")##\n(\"relationship\"<|>\"Project Management Body of Knowledge (PMBOK", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "d84ee3b060f377a350e7d7af9416ad00": { + "return": "Here is the updated list with the additional entities:\n\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the publisher of the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK Guide)\"<|>\"technology\"<|>\"The PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Independent Publishers Group\"<|>\"organization\"<|>\"Independent Publishers Group is the distributor of the PMBOK Guide.\")##\n(\"entity\"<|>\"United States of America\"<|>\"geo\"<|>\"The PMBOK Guide is printed in the United States of America.\")##\n(\"entity\"<|>\"Chicago, IL\"<|>\"geo\"<|>\"Independent Publishers Group is located in Chicago, IL.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"The PMBOK Guide was published in July.\")##\n(\"entity\"<|>\"2021\"<|>\"event\"<|>\"The PMBOK Guide was published in 2021.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"technology\"<|>\"PMBOK is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"OPM3\"<|>\"technology\"<|>\"OPM3 is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"PMP\"<|>\"technology\"<|>\"PMP is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"CAPM\"<|>\"technology\"<|>\"CAPM is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"PgMP\"<|>\"technology\"<|>\"PgMP is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"PfMP\"<|>\"technology\"<|>\"PfMP is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"PMI-RMP\"<|>\"technology\"<|>\"PMI-RMP is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"PMI-SP\"<|>\"technology\"<|>\"PMI-SP is a part of", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "55b53b1f8c816eb2212f021da2f619bd": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that has evolved the PMBOK Guide through various editions.\")##\n(\"entity\"<|>\"The Standard for Project Management \"<|>\"organization\"<|>\"The Standard for Project Management is a guide that has undergone significant changes and updates over the years.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication that has been updated multiple times, incorporating new knowledge and practices in project management.\")##\n(\"entity\"<|>\"The Seventh Edition\"<|>\"event\"<|>\"The Seventh Edition of the PMBOK Guide represents a significant update to the publication, incorporating new perspectives and changes in project management.\")##\n(\"entity\"<|>\"Global stakeholders\"<|>\"organization\"<|>\"Global stakeholders have provided feedback and inputs to the development of the PMBOK Guide, emphasizing the importance of credibility, readability, and practical application.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location where PMI has engaged with stakeholders on their experiences with using The Standard for Project Management and the PMBOK Guide.\")##\n(\"entity\"<|>\"Agile practitioners\"<|>\"organization\"<|>\"Agile practitioners have contributed to the development of the PMBOK Guide, incorporating agile content and practices into the publication.\")##\n(\"entity\"<|>\"Project team members\"<|>\"organization\"<|>\"Project team members have provided feedback and inputs to the development of the PMBOK Guide, emphasizing the importance of practical application and usability.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The Seventh Edition\"<|>\"PMI has developed the Seventh Edition of the PMBOK Guide, incorporating new perspectives and changes in project management.\"<|>\"publication, evolution\"<|>9)##\n(\"relationship\"<|>\"The Standard for Project Management \"<|>\"PMBOK Guide\"<|>\"The Standard for Project Management is a guide that has undergone significant changes and updates, with the PMBOK Guide being a key publication in the project management discipline.\"<|>\"publication, evolution\"<|>8)##\n(\"relationship\"<|>\"PMI\"<|>\"Global stakeholders\"<|>\"PMI has engaged with global stakeholders on their experiences with using The Standard for Project Management and the PMBOK Guide, incorporating their feedback and inputs.\"<|>\"engagement, collaboration\"<|>7)##\n(\"relationship\"<|>\"The Standard for Project Management \"<|>\"Agile practitioners\"<|>\"The Standard", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "d1870fa04382ba44525564dfb1276a97": { + "return": "After re-extracting the entities and relationships, I have added the missing ones below:\n\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person who is not explicitly mentioned as a character, but is a common name in the text.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is a person who is not explicitly mentioned as a character, but is a common name in the text.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is a person who is not explicitly mentioned as a character, but is a common name in the text.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is a person who is not explicitly mentioned as a character, but is a common name in the text.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a person who is a member of a team working on communicating with an unknown intelligence.\")##\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a person who has latter instincts that gain precedence in the team's mandate.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is a group of individuals who have transitioned from passive observers to active participants in a mission.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"The Project Management Body of Knowledge (PMBOK)\"<|>\"organization\"<|>\"The Project Management Body of Knowledge (PMBOK) is a body of knowledge that has evolved over time.\")##\n(\"entity\"<|>\"The Standard for Project Management \"<|>\"organization\"<|>\"The Standard for Project Management is a guide that has undergone significant changes and updates over the years.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication that has been updated multiple times, incorporating new knowledge and practices in project management.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6d52c9d1d33565ce4ca890702848a65d": { + "return": "(\"entity\"<|>\"The Standard for Project Management \"<|>\"organization\"<|>\"The Standard for Project Management represents a process-based standard since 1987.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI has developed and published The Standard for Project Management and other related standards.\")##\n(\"entity\"<|>\"The PMBOK Guide – Seventh Edition \"<|>\"organization\"<|>\"The PMBOK Guide – Seventh Edition is a publication of PMI that aligns with the principles-based standard.\")##\n(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"Project Management Institute (PMI) is the organization behind the PMBOK Guide – Seventh Edition.\")##\n(\"entity\"<|>\"The Standard for Program Management \"<|>\"organization\"<|>\"The Standard for Program Management is another publication of PMI.\")##\n(\"entity\"<|>\"The Standard for Portfolio Management – Fourth Edition \"<|>\"organization\"<|>\"The Standard for Portfolio Management – Fourth Edition is a publication of PMI.\")##\n(\"entity\"<|>\"The Standard for Risk Management in Portfolios, Programs, and Projects \"<|>\"organization\"<|>\"The Standard for Risk Management in Portfolios, Programs, and Projects is a publication of PMI.\")##\n(\"entity\"<|>\"Benefits Realization Management: A Practice Guide \"<|>\"organization\"<|>\"Benefits Realization Management: A Practice Guide is a publication of PMI.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location where the global project management community has been involved.\")##\n(\"relationship\"<|>\"The Standard for Project Management \"<|>\"PMI\"<|>\"The Standard for Project Management is a publication of PMI, indicating a close relationship between the two entities.\"<|>\"publication, affiliation\"<|>8)##\n(\"relationship\"<|>\"The PMBOK Guide – Seventh Edition \"<|>\"PMI\"<|>\"The PMBOK Guide – Seventh Edition is a publication of PMI, indicating a close relationship between the two entities.\"<|>\"publication, affiliation\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute (PMI)\"<|>\"The Standard for Program Management \"<|>\"Project Management Institute (PMI) has developed and published The Standard for Program Management, indicating a close relationship between the two entities.\"<|>\"publication, affiliation\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute (PMI)\"<|>\"The Standard for Portfolio Management – Fourth", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7f2f5e80acbb6f6d371216b6d6bdea65": { + "return": "(\"entity\"<|>\"1987\"<|>\"event\"<|>\"1987 is the year when The Standard for Project Management became a process-based standard.\")##\n(\"entity\"<|>\"process\"<|>\"concept\"<|>\"Process refers to a series of activities that are consistently followed to achieve a specific outcome.\")##\n(\"entity\"<|>\"performance\"<|>\"concept\"<|>\"Performance refers to the outcome of a process or a set of processes.\")##\n(\"entity\"<|>\"value delivery\"<|>\"concept\"<|>\"Value delivery refers to the process of creating value for an organization and its stakeholders.\")##\n(\"entity\"<|>\"principles-based standard\"<|>\"concept\"<|>\"A principles-based standard is a standard that focuses on outcomes rather than processes.\")##\n(\"entity\"<|>\"PMIstandards+™\"<|>\"technology\"<|>\"PMIstandards+ is an interactive digital platform that incorporates current, emerging, and future practices in project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"organization\"<|>\"The Project Management Body of Knowledge is a collection of knowledge and best practices in project management.\")##\n(\"entity\"<|>\"The Sixth Edition\"<|>\"organization\"<|>\"The Sixth Edition of the PMBOK Guide emphasized the importance of tailoring the project management approach to the unique characteristics of each project.\")##\n(\"entity\"<|>\"Knowledge Areas\"<|>\"organization\"<|>\"Knowledge Areas are groups of related activities that are critical for the effective delivery of project outcomes.\")##\n(\"entity\"<|>\"performance domains\"<|>\"concept\"<|>\"Performance domains are groups of related activities that are critical for the effective delivery of project outcomes.\")##\n(\"entity\"<|>\"project management system\"<|>\"concept\"<|>\"A project management system is a collection of interrelated and interdependent management capabilities that work together to achieve desired project outcomes.\")##\n(\"entity\"<|>\"value chain\"<|>\"concept\"<|>\"The value chain refers to the process of creating value for an organization and its stakeholders.\")##\n(\"entity\"<|>\"business objectives\"<|>\"concept\"<|>\"Business objectives are the goals and outcomes that an organization aims to achieve.\")##\n(\"entity\"<|>\"stakeholders\"<|>\"concept\"<|>\"Stakeholders are individuals or groups that have an interest in the outcome of a project or organization.\")##\n(\"entity\"<|>\"organizational strategy\"<|>\"concept\"<|>\"Organizational strategy refers to the overall plan and direction of an organization.\")##\n(\"relationship\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ce999df67d5d66c486d087f72d4d0c47": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that has developed the PMBOK Guide, PMIstandards+, and The Standard for Project Management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide to the Project Management Body of Knowledge, providing a framework for project management.\")##\n(\"entity\"<|>\"PMIstandards+ \"<|>\"technology\"<|>\"PMIstandards+ is a digital platform that incorporates current, emerging, and future practices, methods, artifacts, and other useful information for project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a document that outlines the principles, processes, and practices for project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge refers to the collection of knowledge, skills, and practices used in project management.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery refers to the process of creating value for stakeholders through project management.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a role that oversees and coordinates project activities to achieve project objectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"role\"<|>\"Stakeholders are individuals or groups that have an interest in the project and its outcomes.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI developed the PMBOK Guide, which is a key resource for project management practices.\"<|>\"development, resource\"<|>9)##\n(\"relationship\"<|>\"PMI\"<|>\"PMIstandards+ \"<|>\"PMIstandards+ is a digital platform developed by PMI, providing a comprehensive resource for project management.\"<|>\"development, resource\"<|>9)##\n(\"relationship\"<|>\"PMI\"<|>\"The Standard for Project Management\"<|>\"PMI developed The Standard for Project Management, which outlines the principles and practices for project management.\"<|>\"development, standardization\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"PMIstandards+ \"<|>\"PMBOK Guide is integrated into PMIstandards+, which provides a more comprehensive resource for project management.\"<|>\"integration, enhancement\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6145f3dbb89bb1da9455b1b14e9b27e2": { + "return": "After re-extracting the entities and relationships from the text, I have added the missed entities below:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that has developed the PMBOK Guide, PMIstandards+, and The Standard for Project Management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide to the Project Management Body of Knowledge, providing a framework for project management.\")##\n(\"entity\"<|>\"PMIstandards+ \"<|>\"technology\"<|>\"PMIstandards+ is a digital platform that incorporates current, emerging, and future practices, methods, artifacts, and other useful information for project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a document that outlines the principles, processes, and practices for project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge refers to the collection of knowledge, skills, and practices used in project management.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery refers to the process of creating value for stakeholders through project management.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a role that oversees and coordinates project activities to achieve project objectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"role\"<|>\"Stakeholders are individuals or groups that have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Introduction\"<|>\"event\"<|>\"Introduction is a section in the PMBOK Guide that provides an overview of the guide.\")##\n(\"entity\"<|>\"Project Environment\"<|>\"concept\"<|>\"Project Environment refers to the internal and external factors that affect project success.\")##\n(\"entity\"<|>\"Role of the Project Manager\"<|>\"concept\"<|>\"Role of the Project Manager refers to the responsibilities and duties of a project manager.\")##\n(\"entity\"<|>\"Knowledge Areas\"<|>\"concept\"<|>\"Knowledge Areas refer to the different areas of project management, such as integration, scope, schedule, and cost.\")##\n(\"entity\"<|>\"Integration\"<|>\"concept\"<|>\"Integration refers to the process of coordinating and managing project activities to achieve project objectives.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the definition of project deliverables and boundaries.\")##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2e18902c7b004ffd2e8d1b2fe7d665a9": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide, a publication that outlines project management principles.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"The PMBOK Guide is a publication that outlines project management principles and practices.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"The Project Management Institute is an organization that provides guidance on project management practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Seventh Edition\"<|>\"event\"<|>\"The Seventh Edition of the PMBOK Guide is a significant update to the publication.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI is responsible for the publication of the PMBOK Guide, which outlines project management principles and practices.\"<|>\"publication, organization\"<|>9)##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI and the Project Management Institute are related organizations that provide guidance on project management practices.\"<|>\"affiliation, organization\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Management Institute\"<|>\"The PMBOK Guide is a publication that reflects the practices of the Project Management Institute.\"<|>\"publication, organization\"<|>7)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management\"<|>\"The Project Management Institute provides guidance on project management practices, which are outlined in the PMBOK Guide.\"<|>\"organization, concept\"<|>6)##\n(\"content_keywords\"<|>\"project management, PMBOK Guide, project management institute\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "0ec13c5d5fd10ed3b34ec68c84682699": { + "return": "After re-extracting the entities from the text, I've added the missed entities to the output. Here is the updated list:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide, a publication that outlines project management principles.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"The PMBOK Guide is a publication that outlines project management principles and practices.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"The Project Management Institute is an organization that provides guidance on project management practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Seventh Edition\"<|>\"event\"<|>\"The Seventh Edition of the PMBOK Guide is a significant update to the publication.\")##\n(\"entity\"<|>\"Introduction\"<|>\"event\"<|>\"The Introduction section of the PMBOK Guide provides an overview of the publication.\")##\n(\"entity\"<|>\"Structure of the PMBOK Guide\"<|>\"concept\"<|>\"The Structure of the PMBOK Guide outlines the organization of the publication.\")##\n(\"entity\"<|>\"Relationship of the PMBOK Guide and The Standard for Project Management\"<|>\"concept\"<|>\"The Relationship of the PMBOK Guide and The Standard for Project Management discusses the connection between the two documents.\")##\n(\"entity\"<|>\"Changes to the PMBOK Guide\"<|>\"event\"<|>\"The Changes to the PMBOK Guide section highlights the updates made to the publication.\")##\n(\"entity\"<|>\"Relationship to PMIstandards+ \"<|>\"concept\"<|>\"The Relationship to PMIstandards+ discusses the connection between the PMBOK Guide and PMIstandards+ \")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"The Project Performance Domains section outlines the different areas of project performance.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"concept\"<|>\"The Stakeholder Performance Domain focuses on the interactions between stakeholders and the project.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"The Team Performance Domain focuses on the performance of the project team.\")##\n(\"entity\"<|>\"Development Approach and Life Cycle Performance Domain\"<|>\"concept\"<|>\"The Development Approach and Life Cycle Performance Domain focuses on the development and life", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7c999f77e4157b5eb03713fae4dd39d4": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management and a guide to the project management body.\")##\n(\"entity\"<|>\"Project Management Body\"<|>\"organization\"<|>\"Project Management Body is an entity that is guided by the PMI standard.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Standard for Project Management\"<|>\"concept\"<|>\"Standard for Project Management is a guide published by PMI to ensure effective project management practices.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI publishes a standard for project management, indicating its significance in the field of project management.\"<|>\"standardization, project management\"<|>9)##\n(\"relationship\"<|>\"Project Management Body\"<|>\"Project Management\"<|>\"The Project Management Body is guided by the standard for project management, indicating its adherence to best practices.\"<|>\"adherence, best practices\"<|>8)##\n(\"relationship\"<|>\"Project Management\"<|>\"Standard for Project Management\"<|>\"The standard for project management is a guide for project management practices, indicating its importance in the field.\"<|>\"guidance, best practices\"<|>7)##\n(\"content_keywords\"<|>\"project management, standardization, best practices\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a58e215c79d724fc63976617553f7a25": { + "return": "(\"entity\"<|>\"PMI Seventh Edition\"<|>\"concept\"<|>\"PMI Seventh Edition refers to a specific version of the standard for project management.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the date when the PMI Seventh Edition was published.\")##\n(\"entity\"<|>\"Edition\"<|>\"concept\"<|>\"Edition refers to a specific version of a publication, in this case, the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization that publishes the PMI standard.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Domain\"<|>\"concept\"<|>\"Domain refers to a specific area or category, such as performance domains in project management.\")##\n(\"entity\"<|>\"Performance Domains\"<|>\"concept\"<|>\"Performance Domains refer to specific areas of project management, such as delivery performance and measurement performance.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain is one of the performance domains in project management.\")##\n(\"entity\"<|>\"Measurement Performance Domain\"<|>\"concept\"<|>\"Measurement Performance Domain is one of the performance domains in project management.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain is one of the performance domains in project management.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting project management practices to meet specific project needs.\")##\n(\"entity\"<|>\"Models, Methods, and Artifacts\"<|>\"concept\"<|>\"Models, Methods, and Artifacts refer to tools and techniques used in project management.\")##\n(\"entity\"<|>\"Overview\"<|>\"concept\"<|>\"Overview refers to a general introduction or summary of a topic, such as an overview of models, methods, and artifacts.\")##\n(\"entity\"<|>\"Commonly Used Models\"<|>\"concept\"<|>\"Commonly Used Models refer to widely applied models in project management.\")##\n(\"entity\"<|>\"Situational Leadership Models\"<|>\"concept\"<|>\"Situational Leadership Models refer to models that describe how leaders should adapt their leadership style to different situations.\")##\n(\"entity\"<|>\"Communication Models\"<|>\"concept\"<|>\"Communication Models refer to models that", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "806d5b8c2c7050da1ce0690dfc630edd": { + "return": "Here is the output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"The Project Management Body of Knowledge is a guide to project management principles and practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document published by PMI that outlines project management principles and practices.\")##\n(\"entity\"<|>\"Appendix X1\"<|>\"document\"<|>\"Appendix X1 lists the contributors and reviewers of the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Appendix X2\"<|>\"document\"<|>\"Appendix X2 discusses the role of the sponsor in project management.\")##\n(\"entity\"<|>\"Appendix X3\"<|>\"document\"<|>\"Appendix X3 describes the Project Management Office and its value proposition.\")##\n(\"entity\"<|>\"Appendix X4\"<|>\"document\"<|>\"Appendix X4 discusses global market shifts and their impact on project delivery practices.\")##\n(\"entity\"<|>\"Appendix X5\"<|>\"document\"<|>\"Appendix X5 describes the research and development process for the Project Management Body of Knowledge.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The Standard for Project Management\"<|>\"PMI published The Standard for Project Management, which outlines project management principles and practices.\"<|>\"publication, standardization\"<|>8)##\n(\"relationship\"<|>\"The Standard for Project Management\"<|>\"Appendix X1\"<|>\"The Standard for Project Management includes Appendix X1, which lists contributors and reviewers.\"<|>\"inclusion, publication\"<|>7)##\n(\"relationship\"<|>\"The Standard for Project Management\"<|>\"Appendix X2\"<|>\"The Standard for Project Management discusses the role of the sponsor in Appendix X2.\"<|>\"publication, sponsorship\"<|>6)##\n(\"relationship\"<|>\"The Standard for Project Management\"<|>\"Appendix X3\"<|>\"The Standard for Project Management describes the Project Management Office in Appendix X3.\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "95e2413ce00ceb9b47de4141eb7ba433": { + "return": "After re-extracting the entities and relationships from the text, here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"The Project Management Body of Knowledge is a guide to project management principles and practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document published by PMI that outlines project management principles and practices.\")##\n(\"entity\"<|>\"Appendix X1\"<|>\"document\"<|>\"Appendix X1 lists the contributors and reviewers of the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Appendix X2\"<|>\"document\"<|>\"Appendix X2 discusses the role of the sponsor in project management.\")##\n(\"entity\"<|>\"Appendix X3\"<|>\"document\"<|>\"Appendix X3 describes the Project Management Office and its value proposition.\")##\n(\"entity\"<|>\"Appendix X4\"<|>\"document\"<|>\"Appendix X4 discusses global market shifts and their impact on project delivery practices.\")##\n(\"entity\"<|>\"Appendix X5\"<|>\"document\"<|>\"Appendix X5 describes the research and development process for the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Contributors and Reviewers\"<|>\"organization\"<|>\"Contributors and Reviewers are individuals who contributed to the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"PMI Staff\"<|>\"organization\"<|>\"PMI Staff are the employees of PMI who work on the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Sponsor\"<|>\"role\"<|>\"A Sponsor is an individual or organization that provides support and resources for a project.\")##\n(\"entity\"<|>\"Project Management Office\"<|>\"organization\"<|>\"The Project Management Office is a department that supports and oversees project management activities.\")##\n(\"entity\"<|>\"Global Market\"<|>\"concept\"<|>\"The Global Market refers to the worldwide market trends and shifts that impact project delivery practices.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "5e4f04a04c20081fa8f4e4f36dce6896": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a book titled 'Navigating Effective Stakeholder Engagement' and provides guidance on various project management topics.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"July is a month mentioned in the context of the publication date of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Table 2-1\"<|>\"technology\"<|>\"Table 2-1 is a table discussing types of communication.\")##\n(\"entity\"<|>\"Table 2-2\"<|>\"technology\"<|>\"Table 2-2 is a table discussing stakeholder performance domain.\")##\n(\"entity\"<|>\"Table 2-3\"<|>\"technology\"<|>\"Table 2-3 is a table discussing team performance domain.\")##\n(\"relationship\"<|>\"PMI\"<|>\"July\"<|>\"PMI's book is published in July, indicating a temporal relationship between the organization and the event.\")##\n(\"relationship\"<|>\"Table 2-1\"<|>\"Table 2-2\"<|>\"Table 2-1 and Table 2-2 are related as they both discuss performance domains.\")##\n(\"relationship\"<|>\"Table 2-1\"<|>\"Table 2-3\"<|>\"Table 2-1 and Table 2-3 are related as they both discuss performance domains.\")##\n(\"relationship\"<|>\"Table 2-2\"<|>\"Table 2-3\"<|>\"Table 2-2 and Table 2-3 are related as they both discuss performance domains.\")##\n(\"content_keywords\"<|>\"project management, performance domains, stakeholder engagement\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ce1522ae67a8dc9bb8db9641d705dbc1": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a book titled 'Navigating Effective Stakeholder Engagement' and provides guidance on various project management topics.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"July is a month mentioned in the context of the publication date of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Table 2-1\"<|>\"technology\"<|>\"Table 2-1 is a table discussing types of communication.\")##\n(\"entity\"<|>\"Table 2-2\"<|>\"technology\"<|>\"Table 2-2 is a table discussing stakeholder performance domain.\")##\n(\"entity\"<|>\"Table 2-3\"<|>\"technology\"<|>\"Table 2-3 is a table discussing team performance domain.\")##\n(\"entity\"<|>\"Figure 2-4\"<|>\"technology\"<|>\"Figure 2-4 is a figure discussing the Team Performance Domain.\")##\n(\"entity\"<|>\"Figure 2-5\"<|>\"technology\"<|>\"Figure 2-5 is a figure discussing Components of Emotional Intelligence.\")##\n(\"entity\"<|>\"Figure 2-6\"<|>\"technology\"<|>\"Figure 2-6 is a figure discussing Development Approach and Life Cycle.\")##\n(\"entity\"<|>\"Figure 2-7\"<|>\"technology\"<|>\"Figure 2-7 is a figure discussing Development Approaches.\")##\n(\"entity\"<|>\"Figure 2-8\"<|>\"technology\"<|>\"Figure 2-8 is a figure discussing Iterative and Incremental Development.\")##\n(\"entity\"<|>\"Figure 2-9\"<|>\"technology\"<|>\"Figure 2-9 is a figure discussing Sample Predictive Life Cycle.\")##\n(\"entity\"<|>\"Figure 2-10\"<|>\"technology\"<|>\"Figure 2-10 is a figure discussing Life Cycle with an Incremental Development Approach.\")##\n(\"entity\"<|>\"Figure 2-11\"<|>\"technology\"<|>\"Figure 2-11 is a figure discussing Life Cycle with Adaptive Development Approach.\")##\n(\"entity\"<|>\"Figure 2-12\"<|>\"technology\"<|>\"Figure 2-12 is a figure discussing Community Center Life Cycle.\")##\n(\"entity\"<|>\"Figure 2-13\"<|>\"technology\"<|>\"Figure 2-13 is a figure discussing Planning Performance Domain.\")##\n(\"entity\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a5a51e6d400e7cd51b1f517739e826d6": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization responsible for developing and maintaining the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, tools, and techniques to project activities to meet project requirements.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"A Project Manager is the person assigned by the performing organization to lead the project team that is responsible for achieving the project objectives.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a set of individuals performing the work of the project to achieve its objectives.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A Project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the worth, importance, or usefulness of something, which can be perceived differently by various stakeholders.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"An Outcome is an end result or consequence of a process or project, which can include outputs and artifacts.\")##\n(\"entity\"<|>\"Portfolio\"<|>\"concept\"<|>\"A Portfolio is a collection of projects, programs, subsidiary portfolios, and operations managed as a group to achieve strategic objectives.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"A Program is a set of related projects, subsidiary programs, and program activities that are managed in a coordinated manner to obtain benefits not available from managing them individually.\")##\n(\"entity\"<|>\"Glossary\"<|>\"technology\"<|>\"The Glossary is a collection of terms used in the Standard for Project Management, including the PMI Lexicon of Project Management Terms.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI is responsible for developing and maintaining the Standard for Project Management, which outlines the principles of Project Management.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"A Project Manager leads the Project Team, which is responsible for achieving the project objectives.\")##\n(\"relationship\"<|>\"Project\"<|>\"Outcome\"<|>\"A Project is undertaken to achieve a specific Outcome, which is an end result or consequence of the project.\")##\n(\"relationship\"<|>\"Portfolio\"<|>\"Program\"<|>\"A Portfolio can include a Program, which is a set of related projects managed in a coordinated manner.\")", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a41313be7fa2d834a70adb8933051a99": { + "return": "(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"technology\"<|>\"PMI Seventh Edition July 2021 is the version of the Standard for Project Management.\")##\n(\"entity\"<|>\"Table 4-2\"<|>\"technology\"<|>\"Table 4-2 is a mapping of methods likely to be used in each performance domain.\")##\n(\"entity\"<|>\"Table 4-3\"<|>\"technology\"<|>\"Table 4-3 is a mapping of artifacts likely to be used in each performance domain.\")##\n(\"entity\"<|>\"Table X4-1\"<|>\"technology\"<|>\"Table X4-1 is a view of project and product management.\")##\n(\"entity\"<|>\"Table X4-2\"<|>\"technology\"<|>\"Table X4-2 is a unique characteristic of projects, programs, and products.\")##\n(\"entity\"<|>\"Section 1 – Introduction\"<|>\"technology\"<|>\"Section 1 – Introduction is the first section of the Standard for Project Management.\")##\n(\"entity\"<|>\"Section 2 – A System for Value Delivery\"<|>\"technology\"<|>\"Section 2 – A System for Value Delivery is a section of the Standard for Project Management.\")##\n(\"entity\"<|>\"Section 2.1 Creating Value\"<|>\"technology\"<|>\"Section 2.1 Creating Value describes how projects operate within a system to produce value for organizations and their stakeholders.\")##\n(\"entity\"<|>\"Section 2.2 Organizational Governance Systems\"<|>\"technology\"<|>\"Section 2.2 Organizational Governance Systems describes how governance systems create value.\")##\n(\"entity\"<|>\"Section 3 Project Management Principles\"<|>\"technology\"<|>\"Section 3 Project Management Principles is a section of the Standard for Project Management.\")##\n(\"entity\"<|>\"Introduction\"<|>\"technology\"<|>\"Introduction is the beginning of the Standard for Project Management.\")##\n(\"entity\"<|>\"Standard for Project Management\"<|>\"technology\"<|>\"Standard for Project Management is the document developed by PMI that outlines project management principles.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles guide the behaviors and actions of project professionals and other stakeholders who work on or are engaged with projects.\")##\n(\"entity\"<|>\"Project Professionals\"<|>\"person\"<|>\"Project Professionals are individuals who work on or are engaged with projects.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "39ba0b0692c9abcaa74b5990ca51e0bb": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that publishes the Standard for Project Management, which provides a context for value delivery and governance.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the professional organization behind the PMI, responsible for publishing the Standard for Project Management.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery is a system for delivering value that is aligned with an organization's strategy, comprising various components such as portfolios, programs, projects, and operations.\")##\n(\"entity\"<|>\"System for Value Delivery\"<|>\"concept\"<|>\"System for Value Delivery is a system that creates deliverables used to produce outcomes, which create benefits and ultimately value.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome is the end result or consequence of a process or a project, which creates benefits and value.\")##\n(\"entity\"<|>\"Benefit\"<|>\"concept\"<|>\"Benefit is a gain realized by an organization, which is created by outcomes and contributes to value.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value is something of worth, importance, or usefulness, created by benefits and outcomes.\")##\n(\"entity\"<|>\"Senior Leadership\"<|>\"role\"<|>\"Senior Leadership shares strategic information with portfolios and receives evaluations on portfolio performance.\")##\n(\"entity\"<|>\"Portfolios\"<|>\"concept\"<|>\"Portfolios are components of a value delivery system that share desired outcomes, benefits, and value with programs and projects.\")##\n(\"entity\"<|>\"Programs\"<|>\"concept\"<|>\"Programs are components of a value delivery system that receive desired outcomes, benefits, and value from portfolios and deliverables from programs and projects.\")##\n(\"entity\"<|>\"Projects\"<|>\"concept\"<|>\"Projects are components of a value delivery system that receive desired outcomes, benefits, and value from portfolios and programs and deliver deliverables to operations.\")##\n(\"entity\"<|>\"Operations\"<|>\"concept\"<|>\"Operations are components of a value delivery system that receive deliverables from programs and projects and provide information on how well the organization's strategy is advancing.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI is the organization behind the Project Management Institute, which is responsible for publishing the Standard for Project Management.\"<|>\"affiliation, publication\"<|>9)##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "380e7d566106176837a31605bd3d3e83": { + "return": "(\"entity\"<|>\"PMI Seventh Edition\"<|>\"concept\"<|>\"PMI Seventh Edition is a version of the Standard for Project Management, published in July 2021.\")##\n(\"entity\"<|>\"Standard for Project Management\"<|>\"concept\"<|>\"Standard for Project Management is a document published by PMI that provides a context for value delivery and governance.\")##\n(\"entity\"<|>\"Section 2 – A System for Value Delivery\"<|>\"concept\"<|>\"Section 2 – A System for Value Delivery is a part of the Standard for Project Management that describes how projects operate within a system to produce value for organizations and their stakeholders.\")##\n(\"entity\"<|>\"System for Value Delivery\"<|>\"concept\"<|>\"System for Value Delivery is a system for delivering value that is aligned with an organization's strategy, comprising various components such as portfolios, programs, projects, and operations.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery is a system for delivering value that is aligned with an organization's strategy, comprising various components such as portfolios, programs, projects, and operations.\")##\n(\"entity\"<|>\"Governmental Agency\"<|>\"organization\"<|>\"Governmental Agency is an example of an organization that uses the System for Value Delivery.\")##\n(\"entity\"<|>\"Enterprise\"<|>\"organization\"<|>\"Enterprise is an example of an organization that uses the System for Value Delivery.\")##\n(\"entity\"<|>\"Contractual Arrangement\"<|>\"organization\"<|>\"Contractual Arrangement is an example of an organization that uses the System for Value Delivery.\")##\n(\"entity\"<|>\"Joint Venture\"<|>\"organization\"<|>\"Joint Venture is an example of an organization that uses the System for Value Delivery.\")##\n(\"entity\"<|>\"Organization\"<|>\"concept\"<|>\"Organization refers to any entity that uses the System for Value Delivery, including governmental agencies, enterprises, contractual arrangements, and joint ventures.\")##\n(\"entity\"<|>\"Customers\"<|>\"role\"<|>\"Customers are stakeholders who receive value from projects that create new products, services, or results.\")##\n(\"entity\"<|>\"End Users\"<|>\"role\"<|>\"End Users are stakeholders who receive value from projects that create new products, services, or results.\")##\n(\"entity\"<|>\"Portfolios\"<|>\"concept\"<|>\"Portfolios are components of a value delivery system that share desired outcomes, benefits, and value with programs and projects.\")##\n(\"entity\"<|>\"Programs\"<|>\"concept", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9717a0e62f35762079155fbc962cebd2": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management, providing a framework for project delivery and governance.\")##\n(\"entity\"<|>\"Project Management Office\"<|>\"organization\"<|>\"A Project Management Office is a unit that supports programs and projects within a portfolio, providing guidance and oversight.\")##\n(\"entity\"<|>\"Project Governance\"<|>\"concept\"<|>\"Project Governance refers to the framework that defines the authority to approve changes and make decisions related to a project.\")##\n(\"entity\"<|>\"Portfolio\"<|>\"concept\"<|>\"A Portfolio is a collection of projects and programs that are managed together to achieve strategic objectives.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"A Program is a group of related projects managed together to achieve strategic objectives.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A Project is a unique set of coordinated activities aimed at achieving a specific objective.\")##\n(\"entity\"<|>\"Executive\"<|>\"person\"<|>\"Executives are leaders who provide guidance and oversight to project teams.\")##\n(\"entity\"<|>\"Business Unit Leader\"<|>\"person\"<|>\"Business Unit Leaders are responsible for advancing project objectives and improving project performance.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"The Customer is the individual or group who has requested or is funding the project.\")##\n(\"entity\"<|>\"End User\"<|>\"person\"<|>\"The End User is the individual or group who will experience the direct use of the project deliverable.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Governance\"<|>\"PMI's standard for project management includes guidance on project governance, which is essential for effective project delivery.\")##\n(\"relationship\"<|>\"Project Governance\"<|>\"Portfolio\"<|>\"Project governance is aligned with portfolio management, which involves managing a collection of projects and programs to achieve strategic objectives.\")##\n(\"relationship\"<|>\"Portfolio\"<|>\"Program\"<|>\"A portfolio can include multiple programs, which are groups of related projects managed together to achieve strategic objectives.\")##\n(\"relationship\"<|>\"Program\"<|>\"Project\"<|>\"A program can include multiple projects, which are unique sets of coordinated activities aimed at achieving a specific objective.\")##\n(\"relationship\"<|>\"Executive\"<|>\"Project Governance\"<|>\"Executives provide guidance and oversight to project teams, which is essential for effective project governance.\")##\n(\"relationship\"<|>\"Business Unit Leader\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "735dddb8beab0e81881026de19e9a4eb": { + "return": "(\"entity\"<|>\"PMI Seventh Edition\"<|>\"organization\"<|>\"PMI Seventh Edition is a publication that provides a standard for project management.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the date when the PMI Seventh Edition was published.\")##\n(\"entity\"<|>\"Section 2 – A System for Value Delivery\"<|>\"concept\"<|>\"Section 2 – A System for Value Delivery is a part of the PMI Seventh Edition that discusses a system for delivering value.\")##\n(\"entity\"<|>\"Value Delivery System\"<|>\"concept\"<|>\"A Value Delivery System is a framework that enables smooth workflows, manages issues, and supports decision-making.\")##\n(\"entity\"<|>\"Governance System\"<|>\"concept\"<|>\"A Governance System is a framework that provides oversight, control, value assessment, integration, and decision-making capabilities.\")##\n(\"entity\"<|>\"Framework\"<|>\"concept\"<|>\"A Framework is a structure that guides activities and provides a foundation for project management.\")##\n(\"entity\"<|>\"Objectives\"<|>\"concept\"<|>\"Objectives are specific goals that projects aim to achieve.\")##\n(\"entity\"<|>\"Functions\"<|>\"concept\"<|>\"Functions are the activities and tasks that people perform to achieve project objectives.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a group of people who work together to achieve a project objective.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"A Project Manager is a person who leads a project team and is responsible for project delivery.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership is the ability to guide and direct a project team towards achieving project objectives.\")##\n(\"entity\"<|>\"Coordination\"<|>\"concept\"<|>\"Coordination is the process of managing and directing the work of a project team.\")##\n(\"entity\"<|>\"Oversight\"<|>\"concept\"<|>\"Oversight is the process of monitoring and controlling a project to ensure it is delivered on time, within budget, and to the required quality.\")##\n(\"entity\"<|>\"Monitoring\"<|>\"concept\"<|>\"Monitoring is the process of tracking and reporting on project progress.\")##\n(\"entity\"<|>\"Controlling\"<|>\"concept\"<|>\"Controlling is the process of managing and directing the work of a project team to ensure it is delivered on time, within budget, and to", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "20a560c59daf7efac736ca2e303a090f": { + "return": "(\"entity\"<|>\"project team\"<|>\"organization\"<|>\"project team is a group of people working together to achieve a common goal, providing knowledge, skills, and experience to produce project outcomes.\")##\n(\"entity\"<|>\"facilitation\"<|>\"concept\"<|>\"facilitation is required to coordinate meetings and contribute in an unbiased way to the advancement of project objectives.\")##\n(\"entity\"<|>\"performance\"<|>\"concept\"<|>\"performance evaluation is necessary to help individuals and project teams learn, adapt, and improve.\")##\n(\"entity\"<|>\"change\"<|>\"concept\"<|>\"supporting people through change is required to help address obstacles that can prevent success.\")##\n(\"entity\"<|>\"project team members\"<|>\"organization\"<|>\"project team members provide the knowledge, skills, and experience necessary to produce project outcomes.\")##\n(\"entity\"<|>\"cross-functional project team members\"<|>\"organization\"<|>\"cross-functional project team members can provide a mix of internal perspectives, establish alliances with key business units, and encourage project team members to act as change agents.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI provides the Standard for Project Management, which includes guidance on project management practices and procedures.\")##\n(\"entity\"<|>\"project deliverables\"<|>\"concept\"<|>\"project deliverables are the products and outcomes of the project.\")##\n(\"entity\"<|>\"business objectives\"<|>\"concept\"<|>\"business objectives are the goals and expectations of the project.\")##\n(\"entity\"<|>\"stakeholders\"<|>\"organization\"<|>\"stakeholders are individuals or groups who have an interest in the project.\")##\n(\"entity\"<|>\"senior management\"<|>\"organization\"<|>\"senior management provides direction and oversight to the project team.\")##\n(\"entity\"<|>\"project closure\"<|>\"event\"<|>\"project closure is the process of finalizing the project and ensuring that the intended business benefits are realized.\")##\n(\"relationship\"<|>\"project team\"<|>\"facilitation\"<|>\"project team requires facilitation to coordinate meetings and contribute to project objectives.\"<|>\"collaboration, coordination\"<|>8)##\n(\"relationship\"<|>\"project team members\"<|>\"change\"<|>\"project team members are required to support people through change and address obstacles that can prevent success.\"<|>\"change management, support\"<|>7)##\n(\"relationship\"<|>\"cross-functional project team members\"<|>\"PMI\"<|>\"cross-functional project team members", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "de39a9f18a30d2d88b22ac126ffbdb01": { + "return": "(\"entity\"<|>\"project\"<|>\"concept\"<|>\"a project is a temporary endeavor undertaken to achieve a specific goal or objective.\")##\n(\"entity\"<|>\"value delivery\"<|>\"concept\"<|>\"value delivery is the process of delivering project outcomes that meet the needs of stakeholders.\")##\n(\"entity\"<|>\"value\"<|>\"concept\"<|>\"value refers to the benefits or outcomes that a project delivers to stakeholders.\")##\n(\"entity\"<|>\"stakeholder community\"<|>\"organization\"<|>\"the stakeholder community includes individuals or groups who have an interest in the project.\")##\n(\"entity\"<|>\"goals\"<|>\"concept\"<|>\"goals are the objectives or targets that a project aims to achieve.\")##\n(\"entity\"<|>\"objectives\"<|>\"concept\"<|>\"objectives are specific, measurable, achievable, relevant, and time-bound targets that a project aims to achieve.\")##\n(\"entity\"<|>\"outcomes\"<|>\"concept\"<|>\"outcomes are the results or consequences of a project's activities.\")##\n(\"entity\"<|>\"business units\"<|>\"organization\"<|>\"business units are departments or teams within an organization that have specific responsibilities or functions.\")##\n(\"entity\"<|>\"change agents\"<|>\"concept\"<|>\"change agents are individuals who promote or facilitate change within an organization.\")##\n(\"entity\"<|>\"functional areas\"<|>\"organization\"<|>\"functional areas are departments or teams within an organization that have specific responsibilities or functions.\")##\n(\"entity\"<|>\"lessons learned\"<|>\"concept\"<|>\"lessons learned are the knowledge or insights gained from previous projects or experiences.\")##\n(\"entity\"<|>\"artifacts\"<|>\"concept\"<|>\"artifacts are tangible or intangible products or results of a project.\")##\n(\"entity\"<|>\"process assets\"<|>\"concept\"<|>\"process assets are tools, methodologies, approaches, templates, frameworks, patterns, or PMO resources that support project management.\")##\n(\"entity\"<|>\"governance documentation\"<|>\"concept\"<|>\"governance documentation includes policies and processes that guide project management.\")##\n(\"entity\"<|>\"data assets\"<|>\"concept\"<|>\"data assets are databases, document libraries, metrics, data, and artifacts from previous projects.\")##\n(\"entity\"<|>\"knowledge assets\"<|>\"concept\"<|>\"knowledge assets are the tacit knowledge among project team members, subject matter experts, and other employees.\")##\n(\"entity\"<|>\"security and safety measures\"<|>\"concept\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f658af45d0fd5c4b379cd35fb52bc8e6": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the standard for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is a professional organization that provides standards for project management.\")##\n(\"entity\"<|>\"Program Management\"<|>\"concept\"<|>\"Program Management refers to the integration of related projects, subsidiary programs, and program activities.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Product Management\"<|>\"concept\"<|>\"Product Management is the integration of people, data, processes, and business systems to create, maintain, and develop a product or service.\")##\n(\"entity\"<|>\"Product Life Cycle\"<|>\"concept\"<|>\"Product Life Cycle refers to the series of phases that represents the evolution of a product, from introduction through growth, maturity, and to retirement.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"Program is a group of related projects managed in a coordinated way to achieve strategic objectives.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI provides standards and guidelines for Project Management practices.\"<|>\"professional standards, guidelines\"<|>8)##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI is the organization behind the Project Management Institute, which provides standards and guidelines for project management.\"<|>\"professional organization, standards\"<|>9)##\n(\"relationship\"<|>\"Program Management\"<|>\"Product Management\"<|>\"Program Management and Product Management are related concepts that involve the integration of projects and activities to achieve strategic objectives and create products or services.\"<|>\"integration, strategic objectives\"<|>7)##\n(\"relationship\"<|>\"Project Management\"<|>\"Product Management\"<|>\"Project Management and Product Management are related concepts that involve the application of knowledge, skills, tools, and techniques to execute projects and create products or services.\"<|>\"application, product creation\"<|>8)##\n(\"relationship\"<|>\"Product Life Cycle\"<|>\"Project\"<|>\"Product Life Cycle involves the phases of introduction, growth, maturity, and retirement, which are related to the lifecycle of a project.\"<|>\"product", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a4cc2c79c517ccd068b2e95286b126fc": { + "return": "Here is the updated list of entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the standard for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is a professional organization that provides standards for project management.\")##\n(\"entity\"<|>\"Program Management\"<|>\"concept\"<|>\"Program Management refers to the integration of related projects, subsidiary programs, and program activities.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Product Management\"<|>\"concept\"<|>\"Product Management is the integration of people, data, processes, and business systems to create, maintain, and develop a product or service.\")##\n(\"entity\"<|>\"Product Life Cycle\"<|>\"concept\"<|>\"Product Life Cycle refers to the series of phases that represents the evolution of a product, from introduction through growth, maturity, and to retirement.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"Program is a group of related projects managed in a coordinated way to achieve strategic objectives.\")##\n(\"entity\"<|>\"Standards\"<|>\"concept\"<|>\"Standards refer to the guidelines and principles that govern project management practices.\")##\n(\"entity\"<|>\"Professional Standards\"<|>\"concept\"<|>\"Professional Standards are the established rules and guidelines that professionals follow to maintain their expertise.\")##\n(\"entity\"<|>\"Methodologies\"<|>\"concept\"<|>\"Methodologies are the systematic approaches used to execute projects and achieve specific goals.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles are the fundamental guidelines that guide project management practices.\")##\n(\"entity\"<|>\"Principles\"<|>\"concept\"<|>\"Principles are the fundamental truths or rules that guide behavior and decision-making.\")##\n(\"entity\"<|>\"People\"<|>\"concept\"<|>\"People refer to the individuals involved in project management, including team members, stakeholders, and sponsors.\")##\n(\"entity\"<|>\"Data\"<|>\"concept\"<|>\"Data refers to the information used to support project management, including project plans, schedules, and budgets.\")##\n(\"entity\"<|>\"Processes\"<|>\"concept\"<|>\"Processes", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7bb164fe6ecd0e5d62a9129202241fb0": { + "return": "Here is the output based on the given text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that developed the principles of project management.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles refer to the guidelines for effective project management.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor or undertaking with a specific goal or objective.\")##\n(\"entity\"<|>\"Stewardship\"<|>\"concept\"<|>\"Stewardship involves responsible planning, use, and management of resources.\")##\n(\"entity\"<|>\"Principles of Project Management\"<|>\"concept\"<|>\"Principles of Project Management are guidelines for effective project management.\")##\n(\"entity\"<|>\"Code of Ethics and Professional Conduct\"<|>\"concept\"<|>\"Code of Ethics and Professional Conduct is a set of principles for moral conduct.\")##\n(\"entity\"<|>\"Responsibility\"<|>\"concept\"<|>\"Responsibility refers to the obligation to act in a particular way.\")##\n(\"entity\"<|>\"Respect\"<|>\"concept\"<|>\"Respect involves treating others with dignity and consideration.\")##\n(\"entity\"<|>\"Fairness\"<|>\"concept\"<|>\"Fairness refers to the principle of treating others justly and impartially.\")##\n(\"entity\"<|>\"Honesty\"<|>\"concept\"<|>\"Honesty involves truthfulness and transparency.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the principles of project management.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Principles\"<|>\"PMI developed the principles of project management.\"<|>\"development, principles\"<|>9)##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI and Project Management Institute are related as they are the same organization.\"<|>\"identity, organization\"<|>10)##\n(\"relationship\"<|>\"Project Management Principles\"<|>\"Project\"<|>\"Project Management Principles guide project management, which is an endeavor or undertaking with a specific goal or objective.\"<|>\"guidance, project management\"<|>8)##\n(\"relationship\"<|>\"Stewardship\"<|>\"Project Management Principles\"<|>\"Stewardship is a concept related to responsible planning, use, and management of resources, which is aligned with project management principles.\"<|>\"alignment, responsibility\"<|>7)##\n(\"relationship", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "74b0005111be28e01f9711cce117fc3a": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that developed the principles of project management.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles refer to the guidelines for effective project management.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor or undertaking with a specific goal or objective.\")##\n(\"entity\"<|>\"Stewardship\"<|>\"concept\"<|>\"Stewardship involves responsible planning, use, and management of resources.\")##\n(\"entity\"<|>\"Principles of Project Management\"<|>\"concept\"<|>\"Principles of Project Management are guidelines for effective project management.\")##\n(\"entity\"<|>\"Code of Ethics and Professional Conduct\"<|>\"concept\"<|>\"Code of Ethics and Professional Conduct is a set of principles for moral conduct.\")##\n(\"entity\"<|>\"Responsibility\"<|>\"concept\"<|>\"Responsibility refers to the obligation to act in a particular way.\")##\n(\"entity\"<|>\"Respect\"<|>\"concept\"<|>\"Respect involves treating others with dignity and consideration.\")##\n(\"entity\"<|>\"Fairness\"<|>\"concept\"<|>\"Fairness refers to the principle of treating others justly and impartially.\")##\n(\"entity\"<|>\"Honesty\"<|>\"concept\"<|>\"Honesty involves truthfulness and transparency.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the principles of project management.\")##\n(\"entity\"<|>\"Section 3 – Project Management Principles\"<|>\"concept\"<|>\"Section 3 – Project Management Principles is a part of the standard for project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document that outlines the principles of project management.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the date of the publication of the standard for project management.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"document\"<|>\"PMI Seventh Edition is a version of the standard for project management.\")##\n(\"entity\"<|>\"Figure 3-1\"<|>\"document\"<|>\"Figure 3-1 is an illustration that demonstrates the overlap of project management and general management principles.\")##\n(\"entity\"<|>\"Figure 3-2\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1978b6742c9f11bd3669d21a02ed9cbc": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management, which outlines principles and guidelines for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a group of individuals working together to achieve a shared objective.\")##\n(\"entity\"<|>\"Stewardship\"<|>\"concept\"<|>\"Stewardship refers to the responsible management and care of organizational resources and stakeholders.\")##\n(\"entity\"<|>\"Trustworthiness\"<|>\"concept\"<|>\"Trustworthiness refers to the ability of individuals to represent themselves and their organization accurately.\")##\n(\"entity\"<|>\"Compliance\"<|>\"concept\"<|>\"Compliance refers to the adherence to laws, rules, regulations, and requirements.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI publishes the Standard for Project Management, which outlines principles and guidelines for project management.\"<|>\"publication, standards\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Management\"<|>\"A Project Team applies the principles and guidelines of Project Management to achieve a shared objective.\"<|>\"application, implementation\"<|>9)##\n(\"relationship\"<|>\"Stewardship\"<|>\"Project Team\"<|>\"Stewardship is essential for the responsible management and care of organizational resources and stakeholders by a Project Team.\"<|>\"responsibility, care\"<|>7)##\n(\"relationship\"<|>\"Trustworthiness\"<|>\"Project Team\"<|>\"Trustworthiness is crucial for the Project Team to represent themselves and their organization accurately.\"<|>\"integrity, representation\"<|>8)##\n(\"relationship\"<|>\"Compliance\"<|>\"Project Team\"<|>\"Compliance is necessary for the Project Team to adhere to laws, rules, regulations, and requirements.\"<|>\"adherence, regulations\"<|>7)##\n(\"content_keywords\"<|>\"project management, stewardship, trustworthiness, compliance\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b536c181fd6872bb1c43b8a057585f8e": { + "return": "After re-extracting the entities and relationships, I found additional entities and relationships. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management, which outlines principles and guidelines for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a group of individuals working together to achieve a shared objective.\")##\n(\"entity\"<|>\"Stewardship\"<|>\"concept\"<|>\"Stewardship refers to the responsible management and care of organizational resources and stakeholders.\")##\n(\"entity\"<|>\"Trustworthiness\"<|>\"concept\"<|>\"Trustworthiness refers to the ability of individuals to represent themselves and their organization accurately.\")##\n(\"entity\"<|>\"Compliance\"<|>\"concept\"<|>\"Compliance refers to the adherence to laws, rules, regulations, and requirements.\")##\n(\"entity\"<|>\"Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document published by PMI that outlines principles and guidelines for project management.\")##\n(\"entity\"<|>\"Team agreements\"<|>\"concept\"<|>\"Team agreements represent a set of behavioral parameters and working norms established by the project team.\")##\n(\"entity\"<|>\"Organizational structures\"<|>\"concept\"<|>\"Organizational structures refer to the systems and processes used to coordinate project teams.\")##\n(\"entity\"<|>\"Collaborative project team environment\"<|>\"concept\"<|>\"A collaborative project team environment facilitates alignment, individual and team learning, and optimal contributions to deliver desired outcomes.\")##\n(\"entity\"<|>\"Project practitioners\"<|>\"organization\"<|>\"Project practitioners are individuals who apply the principles and guidelines of project management.\")##\n(\"entity\"<|>\"Stewards\"<|>\"organization\"<|>\"Stewards are individuals who represent themselves, their roles, their project team, and their authority accurately.\")##\n(\"entity\"<|>\"Laws\"<|>\"concept\"<|>\"Laws refer to the rules and regulations that organizations must comply with.\")##\n(\"entity\"<|>\"Regulations\"<|>\"concept\"<|>\"Regulations refer to the rules and guidelines that organizations must follow.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to the needs and expectations of stakeholders.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6681adbab4b1a2fb3f1a8122bdae2bab": { + "return": "(\"entity\"<|>\"Project Management Principles\"<|>\"organization\"<|>\"Project Management Principles is a guide for project teams to establish their own team cultures and tailor their structure to best accomplish project objectives.\")##\n(\"entity\"<|>\"Team Agreements\"<|>\"concept\"<|>\"Team Agreements are a set of behavioral parameters and working norms established by the project team and upheld through individual and project team commitment.\")##\n(\"entity\"<|>\"Organizational Structures\"<|>\"concept\"<|>\"Organizational Structures are any arrangement of or relation between the elements of project work and organizational processes.\")##\n(\"entity\"<|>\"Project Teams\"<|>\"organization\"<|>\"Project Teams are groups of individuals who work together to achieve a common project objective.\")##\n(\"entity\"<|>\"Authority\"<|>\"concept\"<|>\"Authority refers to the condition of having the right to make relevant decisions, establish or improve procedures, apply project resources, expend funds, or give approvals.\")##\n(\"entity\"<|>\"Accountability\"<|>\"concept\"<|>\"Accountability refers to the condition of being answerable for an outcome.\")##\n(\"entity\"<|>\"Responsibility\"<|>\"concept\"<|>\"Responsibility refers to the condition of being obligated to do or fulfill something.\")##\n(\"entity\"<|>\"Collaborative Project Team Environment\"<|>\"concept\"<|>\"A Collaborative Project Team Environment fosters the free exchange of information and individual knowledge, increasing shared learning and individual development.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals, groups, or organizations that may affect, be affected by, or perceive themselves to be affected by a decision, activity, or outcome of a project.\")##\n(\"relationship\"<|>\"Project Management Principles\"<|>\"Team Agreements\"<|>\"Project Management Principles guides the establishment of Team Agreements, which are a crucial aspect of project team culture.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Organizational Structures\"<|>\"Project Teams use and tailor Organizational Structures to coordinate individual effort and achieve project objectives.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Authority\"<|>\"Project Teams have authority to make decisions, establish procedures, and apply project resources.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Accountability\"<|>\"Project Teams are accountable for outcomes.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Responsibility\"<|>\"Project Teams have responsibility to do or fulfill tasks.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Collabor", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6082609d81de48a9cc425ff3cfa071ce": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A project is a temporary endeavor with a defined scope, goals, and deliverables.\")##\n(\"entity\"<|>\"Scope/Requirements\"<|>\"concept\"<|>\"Scope/Requirements refer to the boundaries and objectives of a project.\")##\n(\"entity\"<|>\"Schedule\"<|>\"concept\"<|>\"Schedule refers to the plan for completing tasks and deliverables within a project.\")##\n(\"entity\"<|>\"Cost\"<|>\"concept\"<|>\"Cost refers to the resources and expenses associated with a project.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project Team Members are individuals who contribute to a project team.\")##\n(\"entity\"<|>\"Skills\"<|>\"concept\"<|>\"Skills refer to the abilities and expertise of project team members.\")##\n(\"entity\"<|>\"Knowledge\"<|>\"concept\"<|>\"Knowledge refers to the information and understanding possessed by project team members.\")##\n(\"entity\"<|>\"Experience\"<|>\"concept\"<|>\"Experience refers to the background and history of project team members.\")##\n(\"entity\"<|>\"Learning Culture\"<|>\"concept\"<|>\"A Learning Culture refers to an environment that encourages the exchange of knowledge and skills.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the products or results of a project.\")##\n(\"entity\"<|>\"Outcomes\"<|>\"concept\"<|>\"Outcomes refer to the results and impacts of a project.\")##\n(\"entity\"<|>\"Culture\"<|>\"concept\"<|>\"Culture refers to the values, norms, and practices of an organization or project team.\")##\n(\"entity\"<|>\"Guidelines\"<|>\"concept\"<|>\"Guidelines are rules or principles that guide project team behavior.\")##\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"event\"<|>\"PMI Seventh Edition July 2021 is a publication that provides guidance on project management principles.\")##\n(\"entity\"<|>\"Figure 3-4. Effectively Engage with Stakeholders\"<|>\"event\"<|>\"Figure 3-4. Effectively Engage with Stakeholders is an illustration that demonstrates stakeholder engagement.\")##\n(\"relationship\"<|>\"Project Management Principles\"<|>\"Scope/Requirements\"<|>\"Project Management Principles guides the establishment of Scope/Requirements.\")##\n(\"relationship\"<|>\"Project Teams\"<|>\"Schedule\"<|>\"Project Teams create and manage project schedules.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fb7ae3d99dcb9c4a406279580371c54f": { + "return": "Here is the output for the provided text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"A project team is a group of stakeholders who engage with other stakeholders to understand, consider, communicate, and respond to their interests, needs, and opinions.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"concept\"<|>\"Stakeholders are individuals or groups who have an interest, influence, or impact on the project.\")##\n(\"entity\"<|>\"Business\"<|>\"concept\"<|>\"Business refers to the rationale for the project, explaining why the project is undertaken.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the ultimate indicator of project success, which can be realized throughout the project, at the end of the project, or after the project is complete.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome refers to the result or product of a project.\")##\n(\"entity\"<|>\"Success\"<|>\"concept\"<|>\"Success is the ultimate goal of a project, which can be measured in terms of value, outcomes, or benefits.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI publishes a standard for project management, which is a key concept in the text.\"<|>\"publication, standardization\"<|>9)##\n(\"relationship\"<|>\"Project team\"<|>\"Stakeholders\"<|>\"The project team engages with stakeholders to understand, consider, communicate, and respond to their interests, needs, and opinions.\"<|>\"engagement, communication\"<|>8)##\n(\"relationship\"<|>\"Stakeholders\"<|>\"Business\"<|>\"Stakeholders have an interest, influence, or impact on the business need of a project.\"<|>\"interest, influence\"<|>7)##\n(\"relationship\"<|>\"Business\"<|>\"Value\"<|>\"Business is connected to the value that a project aims to deliver.\"<|>\"business drivers, value creation\"<|>8)##\n(\"relationship\"<|>\"Value\"<|>\"Outcome\"<|>\"Value is realized through the outcomes of a project.\"<|>\"value realization, outcome\"<|>9)##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "61a29c8241353250c9b115c1f6dccb88": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"A project team is a group of stakeholders who engage with other stakeholders to understand, consider, communicate, and respond to their interests, needs, and opinions.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"concept\"<|>\"Stakeholders are individuals or groups who have an interest, influence, or impact on the project.\")##\n(\"entity\"<|>\"Business\"<|>\"concept\"<|>\"Business refers to the rationale for the project, explaining why the project is undertaken.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the ultimate indicator of project success, which can be realized throughout the project, at the end of the project, or after the project is complete.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome refers to the result or product of a project.\")##\n(\"entity\"<|>\"Success\"<|>\"concept\"<|>\"Success is the ultimate goal of a project, which can be measured in terms of value, outcomes, or benefits.\")##\n(\"entity\"<|>\"Project charter\"<|>\"concept\"<|>\"A project charter is a document that authorizes a project and provides details about the business goals and objectives.\")##\n(\"entity\"<|>\"Authorizing document\"<|>\"concept\"<|>\"An authorizing document is a document that gives authority to a project.\")##\n(\"entity\"<|>\"Preliminary business requirements\"<|>\"concept\"<|>\"Preliminary business requirements are the initial needs and goals of a project.\")##\n(\"entity\"<|>\"Project justification\"<|>\"concept\"<|>\"Project justification is the reason why a project is undertaken.\")##\n(\"entity\"<|>\"Business need\"<|>\"concept\"<|>\"Business need refers to the rationale for a project.\")##\n(\"entity\"<|>\"Performing organization\"<|>\"concept\"<|>\"A performing organization is an organization that undertakes a project.\")##\n(\"entity\"<|>\"Client organization\"<|>\"concept\"<|>\"A client organization is an organization that commissions a project.\")##\n(\"entity\"<|>\"Partnership of organizations\"<|>\"concept\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e255455238b9a33c1324f59c8cb7ba32": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management, the PMI Seventh Edition July 2021.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the full name of the organization that publishes the PMI Seventh Edition July 2021.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a multifaceted entity that exists in dynamic circumstances, exhibiting the characteristics of a system.\")##\n(\"entity\"<|>\"System\"<|>\"concept\"<|>\"System is a set of interacting and interdependent components that function as a unified whole.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to deliver a project.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"Customer is a stakeholder who wants a specific software solution to resolve a business need.\")##\n(\"entity\"<|>\"Software\"<|>\"technology\"<|>\"Software is the output of a project that can enable a productivity outcome.\")##\n(\"entity\"<|>\"Training and Coaching\"<|>\"technology\"<|>\"Training and Coaching is a deliverable that can enable a better productivity outcome.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI and Project Management Institute are the same entity, with the latter being the full name of the organization.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMI Seventh Edition July 2021\"<|>\"Project Management Institute publishes the PMI Seventh Edition July 2021.\")##\n(\"relationship\"<|>\"Project\"<|>\"System\"<|>\"A project is a multifaceted entity that exists in dynamic circumstances, exhibiting the characteristics of a system.\")##\n(\"relationship\"<|>\"Project\"<|>\"Project Team\"<|>\"A project team is a group of individuals working together to deliver a project.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Customer\"<|>\"A project team works with the customer to determine which features are worth investment and which may not be valuable enough to be added to the output.\")##\n(\"relationship\"<|>\"Customer\"<|>\"Software\"<|>\"A customer wants a specific software solution to resolve a business need.\")##\n(\"relationship\"<|>\"Software\"<|>\"Training and Coaching\"<|>\"Training and Coaching can enable a better productivity outcome from the software.\")##\n(\"content_keywords\"<|>\"project management, system,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "eb04a9371cd93d236189f14408e823eb": { + "return": "(\"entity\"<|>\"Project Charter\"<|>\"concept\"<|>\"Project Charter is a document that provides details about the business goals and objectives.\")##\n(\"entity\"<|>\"Business Need\"<|>\"concept\"<|>\"Business Need refers to a requirement or a problem that a project aims to address.\")##\n(\"entity\"<|>\"Business Goals\"<|>\"concept\"<|>\"Business Goals are the objectives that a project aims to achieve.\")##\n(\"entity\"<|>\"Objectives\"<|>\"concept\"<|>\"Objectives are specific, measurable, achievable, relevant, and time-bound targets that a project aims to achieve.\")##\n(\"entity\"<|>\"Project Justification\"<|>\"concept\"<|>\"Project Justification explains why a business need is worth the investment and why it should be addressed at this time.\")##\n(\"entity\"<|>\"Cost-Benefit Analysis\"<|>\"concept\"<|>\"Cost-Benefit Analysis is a method used to evaluate the potential costs and benefits of a project.\")##\n(\"entity\"<|>\"Assumptions\"<|>\"concept\"<|>\"Assumptions are statements that are taken as true or certain for the purpose of a project.\")##\n(\"entity\"<|>\"Business Strategy\"<|>\"concept\"<|>\"Business Strategy is the reason for a project and all needs are related to the strategy to achieve the value.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the worth, importance, or usefulness of something.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals or groups who have an interest in a project.\")##\n(\"entity\"<|>\"Operational Activities\"<|>\"concept\"<|>\"Operational Activities are ongoing activities that are necessary to maintain business operations.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"Program is a group of related projects that work together to achieve a common goal.\")##\n(\"entity\"<|>\"Portfolio\"<|>\"concept\"<|>\"Portfolio is a collection of projects that are managed together to achieve strategic objectives.\")##\n(\"entity\"<|>\"Subsystems\"<|>\"concept\"<|>\"Subsystems are smaller systems that are part of a larger system.\")##\n(\"entity\"<|>\"Deliverable\"<|>\"concept\"<|>\"Deliverable is a tangible or intangible product that is produced by a project.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome is the result or consequence of a project.\")##\n(\"relationship\"<|>\"Project Charter\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "534ba59df5e013e3d25866b4c7ecf0ae": { + "return": "(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"A project is a system of interdependent and interacting domains of activity.\")##\n(\"entity\"<|>\"System of Systems\"<|>\"organization\"<|>\"A System of Systems refers to interconnected structures that are known as a system of systems.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a diverse group of individuals working together for a common objective.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders include entities such as service providers, regulators, financiers, and government authorities.\")##\n(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"PMI is the organization that published the Standard for Project Management.\")##\n(\"entity\"<|>\"System Thinking\"<|>\"concept\"<|>\"System thinking entails taking a holistic view of how project parts interact with each other and with external systems.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership promotes project success and contributes to positive project outcomes.\")##\n(\"entity\"<|>\"Authority\"<|>\"concept\"<|>\"Authority is different than leadership.\")##\n(\"entity\"<|>\"Team Culture\"<|>\"concept\"<|>\"A synthesized team culture can be established in a project system that combines the cultures of different organizations.\")##\n(\"entity\"<|>\"Deliverable\"<|>\"technology\"<|>\"A deliverable is a project outcome that is released incrementally, expanding the cumulative outcomes or capabilities of previous versions.\")##\n(\"entity\"<|>\"Change Control Protocol\"<|>\"technology\"<|>\"A change control protocol is used to obtain approvals from entities in external systems.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Uncertainty and risk within the project can be considered and adjusted throughout the project life cycle.\")##\n(\"relationship\"<|>\"Project\"<|>\"System of Systems\"<|>\"A project is part of a System of Systems.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Stakeholders\"<|>\"A project team interacts with stakeholders such as service providers, regulators, financiers, and government authorities.\")##\n(\"relationship\"<|>\"Project Management Institute (PMI)\"<|>\"Project\"<|>\"PMI published the Standard for Project Management, which is related to project management.\")##\n(\"relationship\"<|>\"System Thinking\"<|>\"Project Team\"<|>\"System thinking is applied by project teams to navigate changes and impacts within the project system.\")##\n(\"relationship", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e08e408a809764e6fa8a5e13ec2a861b": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project management is the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"The project life cycle includes the phases of initiation, planning, execution, monitoring and control, and closure.\")##\n(\"entity\"<|>\"Initiation\"<|>\"concept\"<|>\"The initiation phase is the first phase of the project life cycle, where the project is defined and authorized.\")##\n(\"entity\"<|>\"Planning\"<|>\"concept\"<|>\"The planning phase is the second phase of the project life cycle, where the project scope, schedule, and budget are defined.\")##\n(\"entity\"<|>\"Execution\"<|>\"concept\"<|>\"The execution phase is the third phase of the project life cycle, where the project work is performed.\")##\n(\"entity\"<|>\"Monitoring and Control\"<|>\"concept\"<|>\"The monitoring and control phase is the fourth phase of the project life cycle, where the project progress is tracked and controlled.\")##\n(\"entity\"<|>\"Closure\"<|>\"concept\"<|>\"The closure phase is the final phase of the project life cycle, where the project is formally closed.\")##\n(\"entity\"<|>\"Team Members\"<|>\"organization\"<|>\"Team members are individuals who work together to achieve a common objective.\")##\n(\"entity\"<|>\"Mental Models\"<|>\"concept\"<|>\"Mental models refer to the ways in which team members think and perceive the project and its stakeholders.\")##\n(\"entity\"<|>\"Assumptions\"<|>\"concept\"<|>\"Assumptions are statements that are taken for granted or assumed to be true.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the lack of knowledge or predictability in the project.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to the potential for an event or circumstance to have a negative impact on the project.\")##\n(\"entity\"<|>\"Change\"<|>\"concept\"<|>\"Change refers to any modification to the project scope, schedule, or budget.\")##\n(\"entity\"<|>\"Protocol\"<|>\"technology\"<|>\"A protocol is a set of rules or procedures for managing a process or activity.\")##\n(\"entity\"<|>\"Approvals\"<|>\"concept\"<|>\"Approvals refer to the formal agreement or consent given by stakeholders to proceed with a project or", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "de58b746907dff20856d7444dd16928c": { + "return": "##(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes project management principles and standards.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes project management principles and standards.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership refers to the attitude, talent, character, and behaviors to influence individuals within and outside the project team toward the desired outcomes.\")##\n(\"entity\"<|>\"Authority\"<|>\"concept\"<|>\"Authority refers to the position of control given to individuals within an organization to foster overall effective and efficient function.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a unique endeavor that involves multiple organizations, departments, functions, or vendors that do not interact on a regular basis.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a role that can demonstrate effective leadership skills and influence project outcomes.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders refer to individuals or groups that have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Project Team Member\"<|>\"role\"<|>\"Project Team Member is a role that can demonstrate effective leadership skills and contribute to project success.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Leadership\"<|>\"PMI publishes principles and standards related to leadership in project management.\"<|>\"project management, leadership principles\"<|>8)##\n(\"relationship\"<|>\"Leadership\"<|>\"Authority\"<|>\"Leadership and authority are related but distinct concepts in project management, with leadership influencing individuals toward desired outcomes and authority referring to the position of control.\"<|>\"project management, leadership vs authority\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Leadership\"<|>\"A Project Manager can demonstrate effective leadership skills to influence project outcomes and team members.\"<|>\"project management, leadership skills\"<|>10)##\n(\"relationship\"<|>\"Project Team Member\"<|>\"Leadership\"<|>\"A Project Team Member can demonstrate effective leadership skills to contribute to project success and team performance.\"<|>\"project management, team performance\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project\"<|>\"A Project Manager can influence project outcomes and team performance to achieve project success.\"<|>\"project management, project success\"<|>9)##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "666395e64c25e53be66d7f95ff753887": { + "return": "##(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes project management principles and standards.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes project management principles and standards.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership refers to the attitude, talent, character, and behaviors to influence individuals within and outside the project team toward the desired outcomes.\")##\n(\"entity\"<|>\"Authority\"<|>\"concept\"<|>\"Authority refers to the position of control given to individuals within an organization to foster overall effective and efficient function.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a unique endeavor that involves multiple organizations, departments, functions, or vendors that do not interact on a regular basis.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a role that can demonstrate effective leadership skills and influence project outcomes.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders refer to individuals or groups that have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Project Team Member\"<|>\"role\"<|>\"Project Team Member is a role that can demonstrate effective leadership skills and contribute to project success.\")##\n(\"entity\"<|>\"Section 3 – Project Management Principles\"<|>\"event\"<|>\"Section 3 – Project Management Principles is a part of a publication that discusses project management principles.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"event\"<|>\"The Standard for Project Management is a publication that discusses project management principles and standards.\")##\n(\"entity\"<|>\"Seventh Edition July 2021\"<|>\"event\"<|>\"Seventh Edition July 2021 is the edition and publication date of a project management publication.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles refer to the guidelines and standards that govern project management practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Individuals within and outside the project team\"<|>\"organization\"<|>\"Individuals within and outside the project team refer to stakeholders who have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Project outcomes\"<|>\"concept\"<|>\"Project outcomes refer", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "85030097bc8630d97f064a6cb7b74e8c": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes project management standards and guidelines.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is a person responsible for leading the project team and making key decisions.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder is a person or group that has an interest in the project outcome.\")##\n(\"entity\"<|>\"Project\"<|>\"event\"<|>\"Project is an event or undertaking with specific objectives and outcomes.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"The Project Manager leads the Project Team in achieving project objectives and making key decisions.\"<|>\"leadership, teamwork\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Stakeholder\"<|>\"The Project Manager must consider the needs and expectations of Stakeholders in making project decisions.\"<|>\"stakeholder management, decision-making\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project\"<|>\"The Project Team works together to achieve the objectives of the Project.\"<|>\"teamwork, collaboration\"<|>9)##\n(\"relationship\"<|>\"Stakeholder\"<|>\"Project\"<|>\"Stakeholders have an interest in the outcome of the Project.\"<|>\"stakeholder engagement, project outcome\"<|>6)##\n(\"content_keywords\"<|>\"project management, leadership, teamwork, stakeholder engagement\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "58408fb309234e92677742e666b69bf3": { + "return": "(\"entity\"<|>\"Self-awareness\"<|>\"concept\"<|>\"Self-awareness is the ability to recognize and understand one's own biases and behaviors.\")##\n(\"entity\"<|>\"Bias\"<|>\"concept\"<|>\"Bias refers to the tendency to favor one perspective or viewpoint over others.\")##\n(\"entity\"<|>\"Behavior\"<|>\"concept\"<|>\"Behavior refers to the actions and conduct of an individual or group.\")##\n(\"entity\"<|>\"Perception\"<|>\"concept\"<|>\"Perception is the way in which individuals interpret and understand information.\")##\n(\"entity\"<|>\"Leadership skills\"<|>\"concept\"<|>\"Leadership skills refer to the abilities and qualities that enable individuals to lead and influence others.\")##\n(\"entity\"<|>\"Honesty\"<|>\"concept\"<|>\"Honesty is the quality of being truthful and transparent in one's words and actions.\")##\n(\"entity\"<|>\"Integrity\"<|>\"concept\"<|>\"Integrity is the quality of being honest, ethical, and morally upright.\")##\n(\"entity\"<|>\"Ethics\"<|>\"concept\"<|>\"Ethics refer to the moral principles and values that guide an individual's or organization's behavior.\")##\n(\"entity\"<|>\"Transparency\"<|>\"concept\"<|>\"Transparency refers to the openness and clarity of information and decision-making processes.\")##\n(\"entity\"<|>\"Unselfishness\"<|>\"concept\"<|>\"Unselfishness is the quality of prioritizing the needs of others over one's own needs.\")##\n(\"entity\"<|>\"Authority\"<|>\"concept\"<|>\"Authority refers to the power or right to make decisions and take actions.\")##\n(\"entity\"<|>\"Responsibility\"<|>\"concept\"<|>\"Responsibility refers to the obligation to account for one's actions and decisions.\")##\n(\"entity\"<|>\"Methodology\"<|>\"concept\"<|>\"Methodology refers to a system of practices, techniques, and procedures used to achieve a specific goal.\")##\n(\"entity\"<|>\"Governance\"<|>\"concept\"<|>\"Governance refers to the system of rules, policies, and procedures that guide an organization or project.\")##\n(\"entity\"<|>\"Organization\"<|>\"organization\"<|>\"Organization refers to a group of individuals working together to achieve common goals.\")##\n(\"entity\"<|>\"Project life cycle\"<|>\"concept\"<|>\"Project life cycle refers to the stages and phases of a project from initiation to completion.\")##\n(\"entity\"<|>\"Project outcomes\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a7f639a6521eac76f76d51d164fd18f3": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management, providing guidelines for tailoring project approaches.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to tailor the project approach and deliverables.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality is the degree to which a set of inherent characteristics of a product, service, or result fulfills the requirements.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in the project, its deliverables, or its outcomes.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables refer to the products, services, or results produced by a project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI publishes guidelines for Project Management, which is applied by project teams to execute projects effectively.\"<|>\"guidelines, application\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Management\"<|>\"The Project Team applies Project Management knowledge, skills, and techniques to execute projects effectively.\"<|>\"application, execution\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Quality\"<|>\"The Project Team aims to produce deliverables that meet project objectives and align to stakeholder needs, focusing on quality.\"<|>\"quality focus, deliverables\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"Stakeholders\"<|>\"The Project Team communicates with Stakeholders to understand their needs and expectations, tailoring the approach accordingly.\"<|>\"communication, stakeholder engagement\"<|>6)##\n(\"relationship\"<|>\"Project Deliverables\"<|>\"Quality\"<|>\"Project Deliverables are measured for quality based on requirements and acceptance criteria.\"<|>\"quality measurement, deliverables\"<|>8)##\n(\"relationship\"<|>\"Project Deliverables\"<|>\"Project Team\"<|>\"The Project Team produces Project Deliverables that meet project objectives and align to stakeholder needs, focusing on quality.\"<|>\"production, quality focus\"<|>9)##\n(\"content_keywords\"<|>\"project management, quality, stakeholders, deliverables\")<|COMPLETE", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ef38f530d52e6b11b8c9a57406f2af80": { + "return": "After re-extracting the entities and relationships from the text, I've added the missing entities to the output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management, providing guidelines for tailoring project approaches.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to tailor the project approach and deliverables.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality is the degree to which a set of inherent characteristics of a product, service, or result fulfills the requirements.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in the project, its deliverables, or its outcomes.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables refer to the products, services, or results produced by a project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements are conditions or capabilities necessary to satisfy a need.\")##\n(\"entity\"<|>\"Acceptance Criteria\"<|>\"concept\"<|>\"Acceptance Criteria refer to the standards or conditions that a deliverable must meet.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the products, services, or results produced by a project.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Organization\"<|>\"organization\"<|>\"An Organization refers to a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"The Project Life Cycle refers to the stages a project goes through from initiation to completion.\")##\n(\"entity\"<|>\"Standards\"<|>\"concept\"<|>\"Standards refer to the rules or guidelines that govern a particular activity or industry.\")##\n(\"entity\"<|>\"Regulatory Bodies\"<|>\"organization\"<|>\"Regulatory Bodies are organizations that establish and enforce rules or regulations.\")##\n(\"entity\"<|>\"Section 3 – Project Management Principles\"<|>\"event\"<|>\"Section 3 – Project Management Principles is a part of the Standard for Project Management.\")", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "40c8c6fc45867c53a3b55abb2925b37d": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the official name of the organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is a discipline that deals with planning, organizing, and controlling resources to achieve specific goals.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a characteristic of a project or its environment that is difficult to manage due to human behavior, system behavior, and ambiguity.\")##\n(\"entity\"<|>\"Human Behavior\"<|>\"concept\"<|>\"Human Behavior is the interplay of conduct, demeanors, attitudes, and experience of people.\")##\n(\"entity\"<|>\"System Behavior\"<|>\"concept\"<|>\"System Behavior is the result of dynamic interdependencies within and among project elements.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is the lack of understanding and awareness of issues, events, paths to follow, or solutions to pursue.\")##\n(\"entity\"<|>\"Ambiguity\"<|>\"concept\"<|>\"Ambiguity is a state of being unclear, of not knowing what to expect or how to comprehend a situation.\")##\n(\"entity\"<|>\"Technological Innovation\"<|>\"concept\"<|>\"Technological Innovation can cause disruption to products, services, ways of working, processes, tools, techniques, procedures, and more.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI publishes the Standard for Project Management, which is a key resource for project managers to understand project management principles and practices.\"<|>\"publication, industry standards\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management\"<|>\"Project Management Institute is the official name of the organization that publishes the Standard for Project Management, which is a key resource for project managers to understand project management principles and practices.\"<|>\"publication, industry standards\"<|>9)##\n(\"relationship\"<|>\"Project Management\"<|>\"Complexity\"<|>\"Project Management deals with planning, organizing, and controlling resources to achieve specific goals, which can be impacted by complexity.\"<|>\"management, complexity\"<|>8)##\n(\"relationship\"<|>\"Human Behavior\"<|>\"Complexity\"<|>\"Human behavior can contribute to complexity by introducing elements of subjectivity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "4958d45f1b1362c67c8c0e8816c99523": { + "return": "(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A project is a system of elements that interact with each other.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a group of individuals who work together to achieve a specific goal.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in the project.\")##\n(\"entity\"<|>\"Regulatory Agencies\"<|>\"organization\"<|>\"Regulatory agencies are organizations that have a significant impact on the project.\")##\n(\"entity\"<|>\"International Financial Institutions\"<|>\"organization\"<|>\"International financial institutions are organizations that can impact the project.\")##\n(\"entity\"<|>\"Vendors\"<|>\"organization\"<|>\"Vendors are organizations that provide goods or services to the project.\")##\n(\"entity\"<|>\"Specialty Subcontractors\"<|>\"organization\"<|>\"Specialty subcontractors are organizations that provide specialized services to the project.\")##\n(\"entity\"<|>\"Local Communities\"<|>\"organization\"<|>\"Local communities are groups of people who may be impacted by the project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements are the needs or conditions that must be met by the project.\")##\n(\"entity\"<|>\"Acceptance Criteria\"<|>\"concept\"<|>\"Acceptance criteria are the standards that must be met for the project deliverables.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the products or services produced by the project.\")##\n(\"entity\"<|>\"Rework\"<|>\"concept\"<|>\"Rework is the process of revising or re-doing work that does not meet the requirements.\")##\n(\"entity\"<|>\"Scrap\"<|>\"concept\"<|>\"Scrap is the process of discarding or removing work that does not meet the requirements.\")##\n(\"entity\"<|>\"Cost Control\"<|>\"concept\"<|>\"Cost control is the process of managing and controlling project costs.\")##\n(\"entity\"<|>\"Product Delivery\"<|>\"concept\"<|>\"Product delivery is the process of delivering the project products or services.\")##\n(\"entity\"<|>\"Supply Chain Integration\"<|>\"concept\"<|>\"Supply chain integration is the process of managing and coordinating the flow of goods and services.\")##\n(\"entity\"<|>\"Productivity\"<|>\"concept\"<|>\"Productivity is the measure of the efficiency and effectiveness of the project.\")##\n(\"entity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8f64e69eea81b7825b0291b288c10d64": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management, which includes information on complexity, risk, and adaptability.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes a standard for project management, which includes information on complexity, risk, and adaptability.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is a key concept in project management, contributing to complexity and risk.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a key concept in project management, contributing to the project's potential for disruption.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk is a concept in project management, referring to uncertain events or conditions that can have a positive or negative effect on project objectives.\")##\n(\"entity\"<|>\"Adaptability\"<|>\"concept\"<|>\"Adaptability is a key concept in project management, referring to the ability to respond to changing conditions.\")##\n(\"entity\"<|>\"Resiliency\"<|>\"concept\"<|>\"Resiliency is a key concept in project management, referring to the ability to absorb impacts and recover quickly from setbacks.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document published by PMI, providing guidance on project management principles and practices.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The Standard for Project Management\"<|>\"PMI publishes The Standard for Project Management, which provides guidance on project management principles and practices.\"<|>\"publication, guidance\"<|>9)##\n(\"relationship\"<|>\"Uncertainty\"<|>\"Complexity\"<|>\"Uncertainty contributes to complexity in project management, leading to potential disruption.\"<|>\"cause and effect, complexity\"<|>8)##\n(\"relationship\"<|>\"Risk\"<|>\"Uncertainty\"<|>\"Risk is closely related to uncertainty, as it refers to uncertain events or conditions that can affect project objectives.\"<|>\"cause and effect, risk management\"<|>7)##\n(\"relationship\"<|>\"Adaptability\"<|>\"Resiliency\"<|>\"Adaptability and resiliency are complementary traits that help project teams respond to changing conditions and recover from setbacks.\"<|>\"complementary traits, resilience\"<|>9)##\n(\"relationship\"<|>\"The Standard for Project Management\"<|>\"Risk\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "08eee22fa2edc3551b47d111e025b151": { + "return": "After re-extracting the entities and relationships from the text, I have added the missing entities below:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a standard for project management, which includes information on complexity, risk, and adaptability.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes a standard for project management, which includes information on complexity, risk, and adaptability.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is a key concept in project management, contributing to complexity and risk.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a key concept in project management, contributing to the project's potential for disruption.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk is a concept in project management, referring to uncertain events or conditions that can have a positive or negative effect on project objectives.\")##\n(\"entity\"<|>\"Adaptability\"<|>\"concept\"<|>\"Adaptability is a key concept in project management, referring to the ability to respond to changing conditions.\")##\n(\"entity\"<|>\"Resiliency\"<|>\"concept\"<|>\"Resiliency is a key concept in project management, referring to the ability to absorb impacts and recover quickly from setbacks.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document published by PMI, providing guidance on project management principles and practices.\")##\n(\"entity\"<|>\"Section 3 – Project Management Principles\"<|>\"document\"<|>\"Section 3 – Project Management Principles is a part of The Standard for Project Management, providing guidance on project management principles.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is a discipline that involves planning, organizing, and controlling resources to achieve specific goals.\")##\n(\"entity\"<|>\"Objectives\"<|>\"concept\"<|>\"Objectives are specific goals or targets that a project aims to achieve.\")##\n(\"entity\"<|>\"Project Teams\"<|>\"organization\"<|>\"Project Teams are groups of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have a vested interest in the project's outcome.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ae4d909b74c639c679594af25f6775f8": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Adaptability\"<|>\"concept\"<|>\"Adaptability refers to the ability to respond to changing conditions.\")##\n(\"entity\"<|>\"Resiliency\"<|>\"concept\"<|>\"Resiliency refers to the ability to absorb impacts and recover quickly from setbacks.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to a group of individuals working on a project.\")##\n(\"entity\"<|>\"Project Sponsor\"<|>\"person\"<|>\"Project Sponsor refers to an individual who supports a project.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"Product Owner refers to an individual responsible for the product being developed.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"Customer refers to an individual who is the end-user of the project's deliverables.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI and Project Management Institute are the same entity, with the latter being a more formal name.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Adaptability\"<|>\"A project team should be adaptable to respond to changing conditions.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Resiliency\"<|>\"A project team should be resilient to absorb impacts and recover quickly from setbacks.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Sponsor\"<|>\"A project team works with a project sponsor to achieve project goals.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Product Owner\"<|>\"A project team works with a product owner to develop the product.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Customer\"<|>\"A project team delivers value to the customer.\")##\n(\"relationship\"<|>\"Project Sponsor\"<|>\"Product Owner\"<|>\"A project sponsor may also be a product owner.\")##\n(\"relationship\"<|>\"Project Sponsor\"<|>\"Customer\"<|>\"A project sponsor may also be a customer.\")##\n(\"content_keywords\"<|>\"adaptability, resiliency, project management, change management\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "bee5d851201f3f2d70d22aa1852b0082": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the Standard for Project Management.\")##\n(\"entity\"<|>\"Adaptability\"<|>\"concept\"<|>\"Adaptability refers to the ability to respond to changing conditions.\")##\n(\"entity\"<|>\"Resiliency\"<|>\"concept\"<|>\"Resiliency refers to the ability to absorb impacts and recover quickly from setbacks.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to a group of individuals working on a project.\")##\n(\"entity\"<|>\"Project Sponsor\"<|>\"person\"<|>\"Project Sponsor refers to an individual who supports a project.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"Product Owner refers to an individual responsible for the product being developed.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"Customer refers to an individual who is the end-user of the project's deliverables.\")##\n(\"entity\"<|>\"Change Management\"<|>\"concept\"<|>\"Change Management is a comprehensive, cyclic, and structured approach for transitioning individuals, groups, and organizations from a current state to a future state.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is a discipline that creates something new, making it an agent of change.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder refers to an individual or group with an interest in the project.\")##\n(\"entity\"<|>\"Setbacks\"<|>\"event\"<|>\"Setbacks refer to situations where a project fails or falls short of expectations.\")##\n(\"entity\"<|>\"Change\"<|>\"event\"<|>\"Change refers to the process of transitioning from a current state to a future state.\")##\n(\"entity\"<|>\"State\"<|>\"concept\"<|>\"State refers to a condition or situation.\")##\n(\"entity\"<|>\"Current State\"<|>\"concept\"<|>\"Current State refers to the existing condition or situation.\")##\n(\"entity\"<|>\"Future State\"<|>\"concept\"<|>\"Future State refers to the desired condition or situation.\")##\n(\"entity\"<|>\"Transition\"<|>\"event\"<|>\"Transition refers to the process of moving from one state to another.\")##\n(\"relationship\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "cff1e7acd155d4bd9fcbaa3c54655871": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that publishes project management standards and guides.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is a professional organization that publishes project management standards and guides.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor or undertaking with specific goals and objectives.\")##\n(\"entity\"<|>\"Change\"<|>\"concept\"<|>\"Change refers to the process of transformation or alteration of something, often involving stakeholders and requiring adaptability.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder refers to an individual or group with a vested interest in a project or change.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team refers to a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals working together on a project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is the individual responsible for leading and directing a project.\")##\n(\"entity\"<|>\"Collaborative Project Team Environment\"<|>\"concept\"<|>\"Collaborative Project Team Environment refers to a team that works together effectively and collaboratively to achieve project goals.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"Business Case refers to the justification or rationale for a project or change.\")##\n(\"entity\"<|>\"Benefits Realization\"<|>\"concept\"<|>\"Benefits Realization refers to the process of achieving the expected benefits or outcomes of a project or change.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI is the organization that publishes project management standards and guides, which are used by Project Management Institute.\"|>\"organization publication, standardization\"<|>9)##\n(\"relationship\"<|>\"Project\"<|>\"Change\"<|>\"Project involves change, which is a process of transformation or alteration of something.\"|>\"project scope, change management\"<|>8)##\n(\"relationship\"<|>\"Stakeholder\"<|>\"Change\"<|>\"Stakeholders are affected by change, which requires adaptability and communication.\"|>\"stakeholder engagement, adaptability\"<|>7)##\n(\"relationship\"<|>\"Team\"<|>\"Project\"<|>\"A team is often involved in a project, working together to achieve project goals", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "bfec9afd39ff70fa17a7a834ddfadba3": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that publishes project management standards and guides.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is a professional organization that publishes project management standards and guides.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor or undertaking with specific goals and objectives.\")##\n(\"entity\"<|>\"Change\"<|>\"concept\"<|>\"Change refers to the process of transformation or alteration of something, often involving stakeholders and requiring adaptability.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder refers to an individual or group with a vested interest in a project or change.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team refers to a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals working together on a project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is the individual responsible for leading and directing a project.\")##\n(\"entity\"<|>\"Collaborative Project Team Environment\"<|>\"concept\"<|>\"Collaborative Project Team Environment refers to a team that works together effectively and collaboratively to achieve project goals.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"Business Case refers to the justification or rationale for a project or change.\")##\n(\"entity\"<|>\"Benefits Realization\"<|>\"concept\"<|>\"Benefits Realization refers to the process of achieving the expected benefits or outcomes of a project or change.\")##\n(\"entity\"<|>\"Change Management\"<|>\"concept\"<|>\"Change Management refers to the process of managing and facilitating change within an organization.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"concept\"<|>\"Project Charter is a document that formally authorizes a project and defines its objectives and scope.\")##\n(\"entity\"<|>\"Team Charter\"<|>\"concept\"<|>\"Team Charter is a document that outlines the roles, responsibilities, and expectations of team members.\")##\n(\"entity\"<|>\"Code of Ethics\"<|>\"concept\"<|>\"Code of Ethics refers to a set of principles and guidelines that govern the behavior of professionals in a particular field.\")##\n(\"entity\"<|>\"Collaboration\"<|>\"concept\"<|>\"Collaboration refers to the process of working together with others to achieve a", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "608ffd5296f745f47d8267982755ca88": { + "return": "(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is a publication that outlines the standard for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a professional responsible for planning, organizing, and controlling project activities.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a unique set of coordinated activities, aiming to achieve specific goals and objectives.\")##\n(\"entity\"<|>\"Stakeholder Engagement\"<|>\"concept\"<|>\"Stakeholder Engagement refers to the process of identifying, analyzing, and responding to the needs and expectations of stakeholders.\")##\n(\"entity\"<|>\"Governance\"<|>\"concept\"<|>\"Governance refers to the system of rules, practices, and processes by which an organization is directed and controlled.\")##\n(\"entity\"<|>\"Organizational Culture\"<|>\"concept\"<|>\"Organizational Culture refers to the shared values, norms, and beliefs that shape the behavior and attitudes of an organization's members.\")##\n(\"entity\"<|>\"Project Environment\"<|>\"concept\"<|>\"Project Environment refers to the internal and external factors that affect the project's success.\")##\n(\"entity\"<|>\"Risk Management\"<|>\"concept\"<|>\"Risk Management refers to the process of identifying, assessing, and mitigating potential risks that could impact the project.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project\"<|>\"The Project Manager is responsible for planning, organizing, and controlling project activities to achieve the project goals.\"<|>\"project management, leadership\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Governance\"<|>\"The Project Manager is accountable to the governance system of the organization.\"<|>\"accountability, governance\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Stakeholder Engagement\"<|>\"The Project Manager engages with stakeholders to understand their needs and expectations.\"<|>\"communication, stakeholder engagement\"<|>7)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Risk Management\"<|>\"The Project Manager identifies and mitigates potential risks to ensure project success.\"<|>\"risk management, project success\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Organizational Culture\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e3cacfe5a1c7f76c2429e20a51fa2532": { + "return": "After re-extracting the entities, I found additional ones. Here is the updated list:\n\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is a publication that outlines the standard for project management.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a professional responsible for planning, organizing, and controlling project activities.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a unique set of coordinated activities, aiming to achieve specific goals and objectives.\")##\n(\"entity\"<|>\"Stakeholder Engagement\"<|>\"concept\"<|>\"Stakeholder Engagement refers to the process of identifying, analyzing, and responding to the needs and expectations of stakeholders.\")##\n(\"entity\"<|>\"Governance\"<|>\"concept\"<|>\"Governance refers to the system of rules, practices, and processes by which an organization is directed and controlled.\")##\n(\"entity\"<|>\"Organizational Culture\"<|>\"concept\"<|>\"Organizational Culture refers to the shared values, norms, and beliefs that shape the behavior and attitudes of an organization's members.\")##\n(\"entity\"<|>\"Project Environment\"<|>\"concept\"<|>\"Project Environment refers to the internal and external factors that affect the project's success.\")##\n(\"entity\"<|>\"Risk Management\"<|>\"concept\"<|>\"Risk Management refers to the process of identifying, assessing, and mitigating potential risks that could impact the project.\")##\n(\"entity\"<|>\"Change Management\"<|>\"concept\"<|>\"Change Management refers to the process of planning, implementing, and managing changes to the project or organization.\")##\n(\"entity\"<|>\"Communication\"<|>\"concept\"<|>\"Communication refers to the exchange of information among stakeholders, team members, and other interested parties.\")##\n(\"entity\"<|>\"Feedback\"<|>\"concept\"<|>\"Feedback refers to the process of gathering and acting on input from stakeholders to improve project outcomes.\")##\n(\"entity\"<|>\"Engagement\"<|>\"concept\"<|>\"Engagement refers to the level of interest, participation, and commitment of stakeholders to the project.\")##\n(\"entity\"<|>\"Performance\"<|>\"concept\"<|>\"Performance refers to the results and outcomes achieved by the project.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3ced900e438ce7983b5189de825d1b7e": { + "return": "(\"entity\"<|>\"Project management\"<|>\"organization\"<|>\"Project management is a discipline that involves navigating complexity, adapting to change, and tailoring processes and deliverables to achieve project success.\")##\n(\"entity\"<|>\"Project manager (PM)\"<|>\"person\"<|>\"A project manager is a professional responsible for leading project teams, making decisions, and ensuring project success.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve project objectives, consisting of diverse stakeholders and requiring effective stakeholder engagement.\")##\n(\"entity\"<|>\"Project team environment\"<|>\"organization\"<|>\"A collaborative project team environment is essential for project success, requiring adaptability, resilience, and effective communication.\")##\n(\"entity\"<|>\"Project life cycle\"<|>\"event\"<|>\"A project life cycle includes phases such as initiation, planning, execution, and closure, each with its own set of activities and deliverables.\")##\n(\"entity\"<|>\"Project requirements\"<|>\"concept\"<|>\"Project requirements are the needs and expectations of stakeholders that must be met to ensure project success.\")##\n(\"entity\"<|>\"Project risk\"<|>\"concept\"<|>\"Project risk refers to the potential threats or opportunities that can impact project success, and must be identified, assessed, and mitigated.\")##\n(\"relationship\"<|>\"Project manager (PM)\"<|>\"Project team\"<|>\"A project manager leads and coordinates the project team to achieve project objectives and ensure project success.\"<|>\"leadership, team management\"<|>9)##\n(\"relationship\"<|>\"Project manager (PM)\"<|>\"Project team environment\"<|>\"A project manager creates and maintains a collaborative project team environment that fosters adaptability, resilience, and effective communication.\"<|>\"team management, collaboration\"<|>8)##\n(\"relationship\"<|>\"Project team\"<|>\"Project life cycle\"<|>\"A project team navigates the project life cycle, executing activities and deliverables in each phase to achieve project objectives.\"<|>\"project execution, life cycle\"<|>7)##\n(\"relationship\"<|>\"Project team\"<|>\"Project requirements\"<|>\"A project team must understand and meet project requirements to ensure project success, which involves effective stakeholder engagement and communication.\"<|>\"requirement management, stakeholder engagement\"<|>6)##\n(\"relationship\"<|>\"Project team\"<|>\"Project risk\"<|>\"A project team must identify, assess, and mitigate project risk to ensure", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "4a4eb2a7ab119a9a6eb738e1b9a574d2": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Business case\"<|>\"concept\"<|>\"A business case is a document that outlines the justification for a project, including its benefits and costs.\")##\n(\"entity\"<|>\"Product life cycle\"<|>\"event\"<|>\"A product life cycle includes the stages of product development, launch, growth, maturity, and decline.\")##\n(\"entity\"<|>\"Program management\"<|>\"organization\"<|>\"Program management involves managing multiple related projects and programs to achieve strategic objectives.\")##\n(\"entity\"<|>\"Program(s)\"<|>\"organization\"<|>\"A program is a collection of related projects and activities that are managed together to achieve strategic objectives.\")##\n(\"entity\"<|>\"Project assets\"<|>\"concept\"<|>\"Project assets refer to the resources, skills, and knowledge that are required to deliver a project.\")##\n(\"entity\"<|>\"Quality management processes\"<|>\"organization\"<|>\"Quality management processes involve planning, implementing, and controlling activities to ensure quality in project deliverables.\")##\n(\"entity\"<|>\"Regulatory environment\"<|>\"concept\"<|>\"The regulatory environment refers to the laws, regulations, and standards that govern a project or organization.\")##\n(\"entity\"<|>\"Relevance\"<|>\"concept\"<|>\"Relevance refers to the importance and applicability of a project or activity to the needs and goals of stakeholders.\")##\n(\"entity\"<|>\"Reliability\"<|>\"concept\"<|>\"Reliability refers to the consistency and dependability of project deliverables and processes.\")##\n(\"entity\"<|>\"Research\"<|>\"concept\"<|>\"Research involves the systematic investigation and analysis of information to identify solutions to problems or opportunities.\")##\n(\"entity\"<|>\"Resilience\"<|>\"concept\"<|>\"Resilience refers to the ability of a project or organization to withstand and recover from adversity and change.\")##\n(\"entity\"<|>\"Responsibility\"<|>\"concept\"<|>\"Responsibility refers to the obligation and accountability of individuals or teams to deliver project outcomes.\")##\n(\"entity\"<|>\"Risk appetite\"<|>\"concept\"<|>\"Risk appetite refers to the level of risk that an organization or project is willing to accept.\")##\n(\"entity\"<|>\"Risk attitude\"<|>\"concept\"<|>\"Risk attitude refers to the way in which an individual or organization perceives and responds to risk.\")##\n(\"entity\"<|>\"Risk responses\"<|>\"concept\"<|>\"Risk responses involve the actions taken to mitigate or manage project risk.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e70419a3020febb78a8ea348d04264c9": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines project management principles and standards.\")##\n(\"entity\"<|>\"The PMBOK Guide\"<|>\"document\"<|>\"The PMBOK Guide is a document that outlines project management principles and standards, and is published by PMI.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are eight areas that form an integrated system to enable successful project delivery.\")##\n(\"entity\"<|>\"Section 2 Project Performance Domains\"<|>\"document\"<|>\"Section 2 of the PMBOK Guide describes the eight project performance domains.\")##\n(\"entity\"<|>\"Section 3 Tailoring\"<|>\"document\"<|>\"Section 3 of the PMBOK Guide describes tailoring and how to apply it to individual projects.\")##\n(\"entity\"<|>\"Section 4 Models, Methods, and Artifacts\"<|>\"document\"<|>\"Section 4 of the PMBOK Guide describes commonly used models, methods, and artifacts in project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management provides guidance for project management principles and behavior.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups with an interest in the project's success or failure.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which outlines project management principles and standards.\"<|>\"publication, project management\"<|>8)##\n(\"relationship\"<|>\"The PMBOK Guide\"<|>\"Project Management\"<|>\"The PMBOK Guide outlines project management principles and standards.\"<|>\"project management, standards\"<|>9)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"The PMBOK Guide\"<|>\"The PMBOK Guide describes the eight project performance domains.\"<|>\"project management, domains\"<|>7)##\n(\"relationship\"<|>\"Section 2 Project Performance Domains\"<|>\"The PMB", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "d9b320dc45595376f0efd1afe8d7bad8": { + "return": "(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"document\"<|>\"PMI Seventh Edition July 2021 is a document that outlines project management principles and standards.\")##\n(\"entity\"<|>\"A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE (PMBOK Guide)\"<|>\"document\"<|>\"A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE (PMBOK Guide) is a document that outlines project management principles and standards.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management provides guidance for project management principles and behavior.\")##\n(\"entity\"<|>\"project management\"<|>\"concept\"<|>\"project management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Project Team(s)\"<|>\"organization\"<|>\"A Project Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Team agreements\"<|>\"concept\"<|>\"Team agreements refer to the understandings and expectations among team members.\")##\n(\"entity\"<|>\"Team environment, collaborative\"<|>\"concept\"<|>\"A collaborative team environment is one where team members work together effectively and efficiently.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting project management practices to fit the specific needs of a project.\")##\n(\"entity\"<|>\"benefits, direct and indirect\"<|>\"concept\"<|>\"Direct and indirect benefits refer to the positive outcomes of a project.\")##\n(\"entity\"<|>\"context and, principle\"<|>\"concept\"<|>\"Context refers to the environment in which a project is executed.\")##\n(\"entity\"<|>\"definition\"<|>\"concept\"<|>\"Definition refers to a clear and concise statement of what a concept or term means.\")##\n(\"entity\"<|>\"facilitation and\"<|>\"concept\"<|>\"Facilitation refers to the process of helping a team or group to work effectively.\")##\n(\"entity\"<|>\"functions associated with projects\"<|>\"concept\"<|>\"Functions associated with projects refer to the activities and tasks that are performed to achieve project objectives.\")##\n(\"entity\"<|>\"information flow and\"<|>\"concept\"<|>\"Information flow refers to the exchange of information among stakeholders.\")##\n(\"entity\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1309db01e0c07a06cdcdbcba804c2cc5": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines project management principles and performance domains.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guidebook that outlines project management principles and performance domains, used by PMI and project practitioners.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are groups of related activities critical for effective project delivery.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"concept\"<|>\"Stakeholders are individuals, groups, or organizations that may affect or be affected by a project or its outcomes.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to deliver a project.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles guide the approach, governance, and processes used in project management.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring is the adaptation of project management approach, governance, and processes to suit the project environment and work at hand.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a key resource for project practitioners.\"<|>\"publication, resource\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Performance Domains\"<|>\"The PMBOK Guide outlines the Project Performance Domains, which are critical for effective project delivery.\"<|>\"project delivery, performance domains\"<|>8)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Stakeholders\"<|>\"The Project Performance Domains include Stakeholders, who may affect or be affected by a project or its outcomes.\"<|>\"stakeholder management, project impact\"<|>7)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Project Team\"<|>\"The Project Performance Domains involve the Project Team, which works together to deliver a project.\"<|>\"teamwork, project delivery\"<|>6)##\n(\"relationship\"<|>\"Project Management Principles\"<|>\"Tailoring\"<|>\"Project Management Principles guide the Tailoring process, which adapts project approach, governance, and processes to suit the project environment and work at hand.\"<|>\"adaptation, project management\"<|>8)##\n(\"content_keywords", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6869d0f9702f751b98deb61e23d2e1f3": { + "return": "(\"entity\"<|>\"PMIstandards+ \"<|>\"technology\"<|>\"PMIstandards+ is a digital content platform that encompasses current and emerging practices and other useful information related to PMI's library of standards products.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"Program refers to a group of related projects managed in a coordinated way to achieve strategic objectives.\")##\n(\"entity\"<|>\"Portfolio\"<|>\"concept\"<|>\"Portfolio refers to a collection of projects, programs, and other work that are grouped together to achieve strategic objectives.\")##\n(\"entity\"<|>\"Delivery\"<|>\"concept\"<|>\"Delivery refers to the process of providing the project's outputs or outcomes to the stakeholders.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the degree of risk or unpredictability associated with a project or its outcomes.\")##\n(\"entity\"<|>\"Change\"<|>\"concept\"<|>\"Change refers to the process of adapting to new circumstances or requirements in a project or organization.\")##\n(\"entity\"<|>\"Governance\"<|>\"concept\"<|>\"Governance refers to the system of rules, policies, and procedures that guide the management of a project or organization.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the perceived worth or benefit derived from a project or its outcomes.\")##\n(\"relationship\"<|>\"PMIstandards+ \"<|>\"PMBOK Guide\"<|>\"PMIstandards+ offers a dynamic body of knowledge with real-time access to information related to PMI's library of standards products, including the PMBOK Guide.\"<|>\"resource, knowledge management\"<|>9)##\n(\"relationship\"<|>\"Project Management\"<|>\"Project\"<|>\"Project Management is applied to execute Projects, which are temporary endeavors undertaken to create unique products, services, or results.\"<|>\"application, project execution\"<|>8)##\n(\"relationship\"<|>\"Project Management\"<|>\"Program\"<|>\"Project Management is applied to manage Programs, which are groups of related projects managed in a coordinated way to achieve strategic objectives.\"<|>\"application, program management\"<|>7)##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3a20dde2dc7f65496b40c803ea4c6510": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide, which provides guidance on stakeholder engagement and project management.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is a role responsible for working with stakeholders to maintain alignment and foster positive relationships.\")##\n(\"entity\"<|>\"Stakeholder Analysis\"<|>\"concept\"<|>\"Stakeholder Analysis is a method of systematically gathering and analyzing information to determine whose interests should be taken into account throughout the project.\")##\n(\"entity\"<|>\"Stakeholder Engagement\"<|>\"concept\"<|>\"Stakeholder Engagement includes implementing strategies and actions to promote productive involvement of stakeholders.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are the areas of focus for a project, including working with stakeholders.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication by PMI that provides guidance on project management, including stakeholder engagement.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals, groups, or organizations that may affect, be affected by, or perceive themselves to be affected by a decision, activity, or outcome of a project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI published the PMBOK Guide, which is a key resource for project managers and stakeholders.\"<|>\"publication, resource\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Stakeholder Engagement\"<|>\"Project Manager is responsible for implementing stakeholder engagement strategies and actions.\"<|>\"leadership, stakeholder engagement\"<|>9)##\n(\"relationship\"<|>\"Stakeholder Analysis\"<|>\"Stakeholder Engagement\"<|>\"Stakeholder Analysis informs stakeholder engagement by helping to identify and understand stakeholders' interests and perspectives.\"<|>\"analysis, engagement\"<|>8)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Stakeholder Engagement\"<|>\"Project Performance Domains include stakeholder engagement, which is essential for project success.\"<|>\"performance, engagement\"<|>7)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Stakeholders\"<|>\"Project Manager works with stakeholders to maintain alignment and foster positive relationships.\"<|>\"leadership, stakeholder management\"<|>8)##\n(\"content_keywords\"<|>\"st", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "38119378669683645112f2d4eefcb227": { + "return": "(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve a project's objectives.\")##\n(\"entity\"<|>\"Governing Bodies\"<|>\"organization\"<|>\"Governing Bodies are groups that have the power to make decisions and influence a project.\")##\n(\"entity\"<|>\"PMOs\"<|>\"organization\"<|>\"PMOs are groups responsible for overseeing and guiding project management.\")##\n(\"entity\"<|>\"Steering Committees\"<|>\"organization\"<|>\"Steering Committees are groups that provide direction and guidance to a project.\")##\n(\"entity\"<|>\"Suppliers\"<|>\"organization\"<|>\"Suppliers are organizations that provide goods or services to a project.\")##\n(\"entity\"<|>\"Customers\"<|>\"organization\"<|>\"Customers are individuals or organizations that receive goods or services from a project.\")##\n(\"entity\"<|>\"End Users\"<|>\"organization\"<|>\"End Users are individuals who will use the final product or service of a project.\")##\n(\"entity\"<|>\"Regulatory Bodies\"<|>\"organization\"<|>\"Regulatory Bodies are groups that enforce laws and regulations that affect a project.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"concept\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses project performance.\")##\n(\"entity\"<|>\"Figure 2-2\"<|>\"technology\"<|>\"Figure 2-2 is a diagram that illustrates examples of project stakeholders.\")##\n(\"entity\"<|>\"Table 2-1\"<|>\"technology\"<|>\"Table 2-1 is a table that shows examples of communication methods.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication by PMI that provides guidance on project management.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor with a specific objective and scope.\")##\n(\"entity\"<|>\"Program\"<|>\"concept\"<|>\"Program is a group of related projects managed together to achieve a common objective.\")##\n(\"entity\"<|>\"Portfolio\"<|>\"concept\"<|>\"Portfolio is a collection of projects and programs that are managed together to achieve strategic objectives.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"Project Manager leads the Project Team in achieving a project's objectives.\"<|>\"leadership, teamwork\"<|>9)##\n(\"relationship", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a30249b59178bcbfbb9216065a12e970": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a reference for project management practices.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that are affected by or can impact the project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"The Project Manager is the person assigned by the performing organization to lead the project team.\")##\n(\"entity\"<|>\"Project Management Team\"<|>\"organization\"<|>\"The Project Management Team consists of members directly involved in project management activities.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is responsible for producing project deliverables that realize business outcomes.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables are the outputs of the project that are expected to meet the project objectives.\")##\n(\"entity\"<|>\"Project Objectives\"<|>\"concept\"<|>\"Project Objectives are the goals and scope of the project that are to be achieved.\")##\n(\"entity\"<|>\"Project Benefits\"<|>\"concept\"<|>\"Project Benefits are the outcomes that are expected to be realized by the project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Manager\"<|>\"PMI provides guidance for Project Managers to lead project teams effectively.\"<|>\"leadership, guidance\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Management Team\"<|>\"The Project Manager is part of the Project Management Team, working together to achieve project objectives.\"<|>\"teamwork, collaboration\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"The Project Manager leads the Project Team in producing project deliverables that meet business outcomes.\"<|>\"leadership, project management\"<|>10)##\n(\"relationship\"<|>\"Project Management Team\"<|>\"Project Deliverables\"<|>\"The Project Management Team is responsible for producing project deliverables that meet project objectives.\"<|>\"responsibility, project management\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Deliverables\"<|>\"The Project Team produces project deliverables that realize business outcomes.\"<|>\"output, project management\"<|>9)##\n(\"relationship\"<|>\"Project Deliverables\"<|>\"Project Objectives\"<|>\"Project Deliverables are expected to meet Project Objectives, which are the goals and scope of the project.\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b198c2abd4f45c88f0ccc4b8210d4ae1": { + "return": "(\"entity\"<|>\"Table 2-1\"<|>\"concept\"<|>\"Table 2-1 is a reference table that categorizes types of communication.\")##\n(\"entity\"<|>\"Table 2-2\"<|>\"concept\"<|>\"Table 2-2 is a reference table that identifies outcomes and ways of checking them for the Stakeholder Performance Domain.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"concept\"<|>\"The Stakeholder Performance Domain addresses the engagement and communication with stakeholders.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"The Team Performance Domain addresses the activities and functions associated with the project team.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are the areas of focus for a project, including Stakeholder Performance Domain and Team Performance Domain.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A project is a temporary endeavor with specific objectives and deliverables.\")##\n(\"entity\"<|>\"Project Management Office Leads\"<|>\"person\"<|>\"Project Management Office Leads are stakeholders who focus on measures of performance for the project and its deliverables.\")##\n(\"entity\"<|>\"Program Managers\"<|>\"person\"<|>\"Program Managers are stakeholders who focus on measures of performance for the project and its deliverables.\")##\n(\"entity\"<|>\"Project Management Activities\"<|>\"concept\"<|>\"Project Management Activities are the tasks and responsibilities of the project manager and team.\")##\n(\"entity\"<|>\"Project Objectives \"<|>\"concept\"<|>\"Project Objectives are the goals and scope of the project that are to be achieved.\")##\n(\"entity\"<|>\"Project Deliverables \"<|>\"concept\"<|>\"Project Deliverables are the outputs of the project that are expected to meet the project objectives.\")##\n(\"entity\"<|>\"Project Benefits \"<|>\"concept\"<|>\"Project Benefits are the outcomes that are expected to be realized by the project.\")##\n(\"entity\"<|>\"Project Issue Register \"<|>\"concept\"<|>\"The Project Issue Register is a document that tracks and manages issues associated with individual stakeholders.\")##\n(\"entity\"<|>\"Risk Register \"<|>\"concept\"<|>\"The Risk Register is a document that tracks and manages risks associated with the project.\")##\n(\"relationship\"<|>\"PMI \"<|>\"Project Manager \"<|>\"PMI provides guidance for Project Managers to lead project teams effectively.\"<|>\"leadership, guidance\"<|>8)##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "236b0a134ddab5b0f700bd83528160a5": { + "return": "(\"entity\"<|>\"Project Manager\"<|>\"organization\"<|>\"The Project Manager is the person assigned by the performing organization to lead the project team, responsible for achieving project objectives.\")##\n(\"entity\"<|>\"Project Management Team\"<|>\"organization\"<|>\"The Project Management Team consists of members directly involved in project management activities.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a set of individuals performing the work of the project to achieve its objectives.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides guidance on project management practices, including the PMBOK Guide.\")##\n(\"entity\"<|>\"Servant Leader\"<|>\"organization\"<|>\"A Servant Leader is a style of leadership that focuses on understanding and addressing the needs and development of project team members.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"event\"<|>\"A Project Charter is a document that provides approval for the project manager to form a project team to achieve project outcomes.\")##\n(\"entity\"<|>\"Project Team Charter\"<|>\"event\"<|>\"A Project Team Charter is a document that outlines the project team's operating guidelines or norms.\")##\n(\"entity\"<|>\"Business\"<|>\"concept\"<|>\"Business refers to the organization that benefits from the project outcomes.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"The Team Performance Domain refers to the performance of the 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Project Manager to form a project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "89644aa081bdeb2f822f567fb4a17a68": { + "return": "(\"entity\"<|>\"Project Manager\"<|>\"organization\"<|>\"The Project Manager is the person assigned by the performing organization to lead the project team, responsible for achieving project objectives.\")##\n(\"entity\"<|>\"Project Management Team\"<|>\"organization\"<|>\"The Project Management Team consists of members directly involved in project management activities.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a set of individuals performing the work of the project to achieve its objectives.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides guidance on project management practices, including the PMBOK Guide.\")##\n(\"entity\"<|>\"Servant Leader\"<|>\"organization\"<|>\"A Servant Leader is a style of leadership that focuses on understanding and addressing the needs and 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management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"The Project Manager is a key figure in establishing and maintaining a safe, respectful, non-judgmental environment that allows the project team to communicate openly.\")##\n(\"entity\"<|>\"Section 4\"<|>\"event\"<|>\"Section 4 is a part of the PMBOK Guide that discusses project team growth.\")##\n(\"entity\"<|>\"Contract\"<|>\"event\"<|>\"A contract is an agreement between two or more parties that outlines the terms and conditions of a project.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"The PMBOK Guide is a publication that provides guidance on project management.\")##\n(\"entity\"<|>\"Project Culture\"<|>\"event\"<|>\"Project Culture refers to the values, norms, and behaviors that are shared by a project team.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK 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influence\"<|>6)##\n(\"relationship\"<|>\"Project Team\"<|>\"PMBOK Guide\"<|>\"The PMBOK Guide provides guidance on project management, which may be used by the project team to improve their performance and outcomes.\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3ac01ad808e2485bf9bc0c5430cae785": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Section 2\"<|>\"event\"<|>\"Section 2 is a part of the PMBOK Guide that discusses project performance domains.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"event\"<|>\"Project Performance Domains are the areas of focus for a project team.\")##\n(\"entity\"<|>\"High-Performing Project Teams\"<|>\"event\"<|>\"High-Performing Project Teams are teams that achieve exceptional results.\")##\n(\"entity\"<|>\"Open Communication\"<|>\"event\"<|>\"Open Communication is a key factor in high-performing project teams.\")##\n(\"entity\"<|>\"Shared Understanding\"<|>\"event\"<|>\"Shared Understanding is a key factor 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is a key value in high-performing project teams.\")##\n(\"entity\"<|>\"Positive Discourse\"<|>\"event\"<|>\"Positive Discourse is a key value in high-performing project teams.\")##\n(\"entity\"<|>\"Support\"<|>\"event\"<|>\"Support is a key value in high-performing project teams.\")##\n(\"entity\"<|>\"Courage\"<|>\"event\"<|>\"Courage is a key value in high-performing project teams.\")##\n(\"entity\"<|>\"Celebrating Success\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e53bfaa76ac462833f1d6f35ac4d59f5": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a guide for project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve a project purpose.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A Project is a temporary endeavor with a specific purpose and outcome.\")##\n(\"entity\"<|>\"Project Performance 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Skills,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "aa4f2a34bc27a78dd063d4c1fe63ffdc": { + "return": "(\"entity\"<|>\"PMI Seventh Edition\"<|>\"organization\"<|>\"PMI Seventh Edition is a version of the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"concept\"<|>\"PMBOK Guide is a guide for project management published by PMI.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"concept\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that covers leadership skills, critical thinking, motivation, and interpersonal skills.\")##\n(\"entity\"<|>\"Leadership Skills\"<|>\"concept\"<|>\"Leadership Skills are useful for all project team members, including establishing and maintaining vision, critical thinking, motivation, and interpersonal skills.\")##\n(\"entity\"<|>\"Critical Thinking\"<|>\"concept\"<|>\"Critical Thinking is a disciplined, rational, logical, evidence-based thinking that helps to recognize bias, identify root causes of problems, and consider challenging issues.\")##\n(\"entity\"<|>\"Motivation\"<|>\"concept\"<|>\"Motivation is the driving force behind project team members' actions, including intrinsic and extrinsic motivation factors.\")##\n(\"entity\"<|>\"Interpersonal Skills\"<|>\"concept\"<|>\"Interpersonal Skills are essential for project management, including emotional intelligence, decision making, and conflict resolution.\")##\n(\"entity\"<|>\"Emotional Intelligence\"<|>\"concept\"<|>\"Emotional Intelligence is the ability to recognize our own emotions and those of others, guiding thinking and behavior.\")##\n(\"entity\"<|>\"Decision Making\"<|>\"concept\"<|>\"Decision Making is a skill used in project management, including recognizing and resolving problems.\")##\n(\"entity\"<|>\"Conflict Resolution\"<|>\"concept\"<|>\"Conflict Resolution is a skill used in project management, including recognizing and resolving problems.\")##\n(\"entity\"<|>\"Bias\"<|>\"concept\"<|>\"Bias is a factor to be recognized and addressed in critical thinking.\")##\n(\"entity\"<|>\"Root Cause\"<|>\"concept\"<|>\"Root Cause is the underlying reason for a problem.\")##\n(\"entity\"<|>\"Challenging Issues\"<|>\"concept\"<|>\"Challenging Issues are complex problems that require critical thinking to address.\")##\n(\"entity\"<|>\"Ambiguity\"<|>\"concept\"<|>\"Ambiguity is a challenging issue that requires critical thinking to address.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a challenging issue that requires critical thinking to address", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8b1e34b078db04833eb5ae233c7f3362": { + "return": "(\"entity\"<|>\"Emotional Intelligence\"<|>\"concept\"<|>\"Emotional Intelligence is the ability to recognize one's own emotions and those of others, guiding thinking and behavior.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which discusses Emotional Intelligence.\")##\n(\"entity\"<|>\"Self-Awareness\"<|>\"concept\"<|>\"Self-Awareness is the ability to conduct a realistic self-assessment, understanding one's own emotions, goals, motivations, strengths, and weaknesses.\")##\n(\"entity\"<|>\"Self-Management\"<|>\"concept\"<|>\"Self-Management is the ability to control and redirect disruptive feelings and impulses, thinking before acting.\")##\n(\"entity\"<|>\"Social Awareness\"<|>\"concept\"<|>\"Social Awareness is about empathy and understanding other people's feelings, including reading nonverbal cues and body language.\")##\n(\"entity\"<|>\"Social Skill\"<|>\"concept\"<|>\"Social Skill is the culmination of the other dimensions of Emotional Intelligence, concerned with managing groups of people and building rapport.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve a common goal, requiring effective communication and collaboration.\")##\n(\"entity\"<|>\"Decision Making\"<|>\"concept\"<|>\"Decision Making is the process of making choices, which can be done unilaterally or through group-based decision making.\")##\n(\"entity\"<|>\"Conflict Management\"<|>\"concept\"<|>\"Conflict Management is the approach to addressing conflicts, which can be positive or negative, and is crucial in project environments.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI, discussing various aspects of project management, including Emotional Intelligence.\")##\n(\"relationship\"<|>\"Emotional Intelligence\"<|>\"Self-Awareness\"<|>\"Emotional Intelligence includes Self-Awareness as one of its key areas, enabling individuals to understand their own emotions and behaviors.\")##\n(\"relationship\"<|>\"Emotional Intelligence\"<|>\"Self-Management\"<|>\"Emotional Intelligence encompasses Self-Management, allowing individuals to control and redirect their feelings and impulses.\")##\n(\"relationship\"<|>\"Emotional Intelligence\"<|>\"Social Awareness\"<|>\"Emotional Intelligence involves Social Awareness, enabling individuals to understand and empathize with others.\")##\n(\"relationship\"<|>\"Emotional Intelligence\"<|>\"Social Skill\"<|>\"Em", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "65e0e474fdbde717857dbcc8b6098da2": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"Emotional Intelligence\"<|>\"concept\"<|>\"Emotional Intelligence is the ability to recognize one's own emotions and those of others, guiding thinking and behavior.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which discusses Emotional Intelligence.\")##\n(\"entity\"<|>\"Self-Awareness\"<|>\"concept\"<|>\"Self-Awareness is the ability to conduct a realistic self-assessment, understanding one's own emotions, goals, motivations, strengths, and weaknesses.\")##\n(\"entity\"<|>\"Self-Management\"<|>\"concept\"<|>\"Self-Management is the ability to control and redirect disruptive feelings and impulses, thinking before acting.\")##\n(\"entity\"<|>\"Social Awareness\"<|>\"concept\"<|>\"Social Awareness is about empathy and understanding other people's feelings, including reading nonverbal cues and body language.\")##\n(\"entity\"<|>\"Social Skill\"<|>\"concept\"<|>\"Social Skill is the culmination of the other dimensions of Emotional Intelligence, concerned with managing groups of people and building rapport.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve a common goal, requiring effective communication and collaboration.\")##\n(\"entity\"<|>\"Decision Making\"<|>\"concept\"<|>\"Decision Making is the process of making choices, which can be done unilaterally or through group-based decision making.\")##\n(\"entity\"<|>\"Conflict Management\"<|>\"concept\"<|>\"Conflict Management is the approach to addressing conflicts, which can be positive or negative, and is crucial in project environments.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI, discussing various aspects of project management, including Emotional Intelligence.\")##\n(\"entity\"<|>\"Roman Voting\"<|>\"concept\"<|>\"Roman Voting is a method of decision making that aims to engage individual input while voting at the same moment.\")##\n(\"entity\"<|>\"Wideband Delphi Estimating\"<|>\"concept\"<|>\"Wideband Delphi Estimating is a method of decision making that uses a structured process to gather input from a group.\")##\n(\"entity\"<|>\"Fist of Five Voting\"<|>\"concept\"<|>\"Fist of Five Voting is a method of decision making that uses a simple and fast way to gather input from a group.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e712c58adf1e4505fdba19ac0e5de8a2": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides guidance on project management, as seen in the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve project objectives, as described in the text.\")##\n(\"entity\"<|>\"Conflict\"<|>\"concept\"<|>\"Conflict refers to disagreements or disputes that can arise in project settings, as discussed in the text.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership refers to the ability to guide and direct project teams, as seen in the text.\")##\n(\"entity\"<|>\"Communication\"<|>\"concept\"<|>\"Communication refers to the exchange of information between project team members and stakeholders, as emphasized in the text.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups with an interest in the project, as mentioned in the text.\")##\n(\"entity\"<|>\"Project Managers\"<|>\"person\"<|>\"Project Managers are responsible for leading project teams and making decisions, as described in the text.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refer to the different aspects of project management, such as Team Performance and Development Approach, as discussed in the text.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Conflict\"<|>\"The Project Team is affected by Conflict, which can lead to negative outcomes if not managed properly.\"<|>\"conflict management, team dynamics\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"Leadership\"<|>\"The Project Team requires effective Leadership to guide and direct them towards project objectives.\"<|>\"leadership, team management\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Communication\"<|>\"Effective Communication is crucial for the Project Team to exchange information and work together efficiently.\"<|>\"communication, team collaboration\"<|>8)##\n(\"relationship\"<|>\"Project Managers\"<|>\"Project Performance Domains\"<|>\"Project Managers need to understand and apply Project Performance Domains to make informed decisions and lead project teams effectively.\"<|>\"project management, decision making\"<|>10)##\n(\"relationship\"<|>\"PMI\"<|>\"Project Performance Domains\"<|>\"PMI provides guidance on Project Performance Domains, which are essential for effective project management.\"<|>\"project management, guidance\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7bb41f4ba59762283ca905595735e2aa": { + "return": "## (\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication provided by PMI that offers guidance on project management, as mentioned in the text.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"organization\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide, discussing different aspects of project management.\")##\n(\"entity\"<|>\"Table 2-3\"<|>\"organization\"<|>\"Table 2-3 is a table in the PMBOK Guide that identifies outcomes from effective application of the Team Performance Domain.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome refers to the result or consequence of a particular action or decision, as discussed in the text.\")##\n(\"entity\"<|>\"Check\"<|>\"concept\"<|>\"Check refers to the process of verifying or evaluating the outcome of a particular action or decision, as mentioned in the text.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the series of phases that a project goes through from initiation to completion, as discussed in the text.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the strategy or plan for delivering project deliverables, as mentioned in the text.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables refer to the tangible or intangible outcomes of a project, as discussed in the text.\")##\n(\"entity\"<|>\"Business Value\"<|>\"concept\"<|>\"Business Value refers to the benefits or advantages that a project provides to the organization, as mentioned in the text.\")##\n(\"entity\"<|>\"Stakeholder Value\"<|>\"concept\"<|>\"Stakeholder Value refers to the benefits or advantages that a project provides to stakeholders, as discussed in the text.\")##\n(\"entity\"<|>\"Project Context\"<|>\"concept\"<|>\"Project Context refers to the internal and external factors that affect a project, as mentioned in the text.\")##\n(\"entity\"<|>\"Project Environment\"<|>\"concept\"<|>\"Project Environment refers to the external factors that affect a project, as discussed in the text.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project Team Members are individuals who work together to achieve project objectives, as described in the text.\")##\n(\"entity\"<|>\"Project Team Leadership Styles\"<|>\"concept\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fcb9b9852d12ae9886b1456a629bd60e": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which provides guidance on project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology used for project management, providing guidance on project performance domains.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the series of phases that a project passes through from its start to its completion.\")##\n(\"entity\"<|>\"Project Phase\"<|>\"concept\"<|>\"Project Phase is a collection of logically related project activities that culminates in the completion of one or more deliverables.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the means used to create and evolve the product, service, or result during the project life 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management\"<|>7)##\n(\"relationship\"<|>\"Project Life Cycle\"<|>\"Development Approach\"<|>\"The project life cycle is influenced by the development approach used, which determines how the product, service, or result is created and evolved.\"<|>\"influence, project management\"<|>8)##\n(\"relationship\"<|>\"Development Approach\"<|>\"Deliverable\"<|>\"The development approach used determines the type of deliverable(s) and the development approach influence the number and cadence for project deliveries.\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a49ff11c4a89b82262b444de8d18345f": { + "return": "(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an undertaking that has a specific goal, scope, and timeline.\")##\n(\"entity\"<|>\"Process\"<|>\"concept\"<|>\"Process refers to a series of activities that are performed to achieve a specific goal or objective.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the result or outcome of a project or process.\")##\n(\"entity\"<|>\"Service\"<|>\"concept\"<|>\"Service refers to an intangible product or benefit that is provided to customers.\")##\n(\"entity\"<|>\"Result\"<|>\"concept\"<|>\"Result refers to the outcome or effect of a project or process.\")##\n(\"entity\"<|>\"Capability\"<|>\"concept\"<|>\"Capability refers to the ability to perform a service or function.\")##\n(\"entity\"<|>\"Process Reengineering\"<|>\"concept\"<|>\"Process Reengineering refers to the systematic analysis and redesign of business processes to improve their efficiency and effectiveness.\")##\n(\"entity\"<|>\"Drug\"<|>\"technology\"<|>\"Drug refers to a pharmaceutical product developed through a project.\")##\n(\"entity\"<|>\"Security\"<|>\"concept\"<|>\"Security refers to the measures taken to protect people, assets, or information from harm or unauthorized access.\")##\n(\"entity\"<|>\"Badges\"<|>\"technology\"<|>\"Badges refer to physical security devices used to control access.\")##\n(\"entity\"<|>\"Key Code Pads\"<|>\"technology\"<|>\"Key Code Pads refer to electronic devices used to control access.\")##\n(\"relationship\"<|>\"Process Reengineering\"<|>\"Project\"<|>\"Process Reengineering is a project that aims to improve business processes through systematic analysis and redesign.\"<|>\"process improvement, project management\"<|>7)##\n(\"relationship\"<|>\"Drug\"<|>\"Project\"<|>\"A drug is developed through a project, which involves multiple phases and activities.\"<|>\"development, project management\"<|>8)##\n(\"relationship\"<|>\"Security\"<|>\"Project\"<|>\"Security measures are implemented as part of a project to protect people, assets, or information from harm or unauthorized access.\"<|>\"security, project management\"<|>6)##\n(\"relationship\"<|>\"Badges\"<|>\"Security\"<|>\"Badges are used as a security measure to control access to restricted areas.\"<|>\"security, access control\"<|>7)##\n(\"relationship\"<|>\"Key Code Pads\"<|>\"Security\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ff5b36e07ce3ba6c247e63bbc3a118ab": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which provides information on various development approaches.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide that provides information on various development approaches.\")##\n(\"entity\"<|>\"Community Center\"<|>\"organization\"<|>\"Community Center is a potential project that could use a predictive approach for construction and an adaptive approach for establishing senior services.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is involved in various development approaches, including predictive, hybrid, and adaptive.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location where the PMI is based.\")##\n(\"entity\"<|>\"Meals on Wheels\"<|>\"event\"<|>\"Meals on Wheels is a potential service that could be developed and deployed iteratively as part of the community center project.\")##\n(\"entity\"<|>\"Transportation Service\"<|>\"event\"<|>\"Transportation Service is another potential service that could be developed and deployed iteratively as part of the community center project.\")##\n(\"entity\"<|>\"Caregiver Relief\"<|>\"event\"<|>\"Caregiver Relief is a potential service that could be developed and deployed iteratively as part of the community center project.\")##\n(\"entity\"<|>\"Adult Day Care\"<|>\"event\"<|>\"Adult Day Care is a potential service that could be developed and deployed iteratively as part of the community center project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which provides information on various development approaches.\"<|>\"publication, knowledge sharing\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Community Center\"<|>\"The Project Team is involved in the development of the Community Center, which could use a predictive approach for construction and an adaptive approach for establishing senior services.\"<|>\"project development, community service\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Meals on Wheels\"<|>\"The Project Team could develop and deploy Meals on Wheels iteratively as part of the community center project.\"<|>\"project development, service delivery\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"Transportation Service\"<|>\"The Project Team could develop and deploy Transportation Service iteratively as part of the community center project.\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "31dbb986444ace8d56a1e6a2c7da8de1": { + "return": "(\"entity\"<|>\"Predictive Approach\"<|>\"technology\"<|>\"Predictive Approach is a development method that uses planning up front to determine scope, schedule, cost, and resources.\")##\n(\"entity\"<|>\"Adaptive Approach\"<|>\"technology\"<|>\"Adaptive Approach is a development method that involves iterative and incremental development, allowing for flexibility and change.\")##\n(\"entity\"<|>\"Hybrid Approach\"<|>\"technology\"<|>\"Hybrid Approach is a combination of predictive and adaptive approaches, using elements of both to suit the project needs.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"technology\"<|>\"Project Performance Domains is a concept discussed in the PMBOK Guide, related to the development approach.\")##\n(\"entity\"<|>\"Development Approaches\"<|>\"technology\"<|>\"Development Approaches are various methods used in project management, including predictive, adaptive, and hybrid.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"technology\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide, discussing development approaches.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the outcomes of a project, such as products, services, or results.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements are the needs or conditions that a project must meet.\")##\n(\"entity\"<|>\"User Feedback\"<|>\"concept\"<|>\"User Feedback is an important factor in adaptive approaches, allowing for refinement and change.\")##\n(\"entity\"<|>\"Environment\"<|>\"concept\"<|>\"Environment refers to the external factors that can influence a project, such as market or regulatory changes.\")##\n(\"entity\"<|>\"Unexpected Events\"<|>\"concept\"<|>\"Unexpected Events are unplanned occurrences that can impact a project, requiring adaptability.\")##\n(\"entity\"<|>\"Stakeholder Feedback\"<|>\"concept\"<|>\"Stakeholder Feedback is an important input for adaptive approaches, helping to refine and adjust the project.\")##\n(\"entity\"<|>\"Project Team Engagement\"<|>\"concept\"<|>\"Project Team Engagement is crucial in adaptive approaches, where the team determines the scope and work involved in each iteration.\")##\n(\"entity\"<|>\"Backlog\"<|>\"concept\"<|>\"Backlog is a prioritized list of tasks or features to be developed in an adaptive approach.\")##\n(\"entity\"<|>\"Iteration\"<|>\"concept\"<|>\"Iteration is a repeated process", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "528957210d08e401bfd29dea858bb566": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide, a document that outlines various approaches to project development.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a document that outlines various approaches to project development and is published by PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve a project goal, with varying levels of involvement in the development approach.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders play a significant role in establishing and prioritizing work, particularly in adaptive methods.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"The Product Owner is a stakeholder who plays a substantial role in establishing and prioritizing work.\")##\n(\"entity\"<|>\"Predictive Approach\"<|>\"technology\"<|>\"The Predictive Approach is a development method that is well-suited for projects with well-known requirements and a stable scope.\")##\n(\"entity\"<|>\"Adaptive Approach\"<|>\"technology\"<|>\"The Adaptive Approach is a development method that is well-suited for projects with uncertain requirements and a changing scope.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI published the PMBOK Guide, which outlines various approaches to project development.\"<|>\"publication, documentation\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Predictive Approach\"<|>\"The Project Team uses the Predictive Approach for projects with well-known requirements and a stable scope.\"<|>\"development method, project characteristics\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"Adaptive Approach\"<|>\"The Project Team uses the Adaptive Approach for projects with uncertain requirements and a changing scope.\"<|>\"development method, project characteristics\"<|>7)##\n(\"relationship\"<|>\"Product Owner\"<|>\"Adaptive Approach\"<|>\"The Product Owner is involved in establishing and prioritizing work in adaptive methods.\"<|>\"stakeholder involvement, project management\"<|>6)##\n(\"relationship\"<|>\"Predictive Approach\"<|>\"PMBOK Guide\"<|>\"The Predictive Approach is outlined in the PMBOK Guide as a development method for projects with well-known requirements and a stable scope.\"<|>\"documentation, development method\"<|>9)##\n(\"content_keywords\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "405169b438462252b9a3a9bffd7e9ffc": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide, a document that outlines various approaches to project development.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a document that outlines various approaches to project development and is published by PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve a project goal, with varying levels of involvement in the development approach.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders play a significant role in establishing and prioritizing work, particularly in adaptive methods.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"The Product Owner is a stakeholder who plays a substantial role in establishing and prioritizing work.\")##\n(\"entity\"<|>\"Predictive Approach\"<|>\"technology\"<|>\"The Predictive Approach is a development method that is well-suited for projects with well-known requirements and a stable scope.\")##\n(\"entity\"<|>\"Adaptive Approach\"<|>\"technology\"<|>\"The Adaptive Approach is a development method that is well-suited for projects with uncertain requirements and a changing scope.\")##\n(\"entity\"<|>\"Feasibility\"<|>\"event\"<|>\"Feasibility is a phase that determines if the business case is valid and if the organization has the capability to deliver the intended outcome.\")##\n(\"entity\"<|>\"Design\"<|>\"event\"<|>\"Design is a phase in the project life cycle that involves creating a plan and specifications for the project.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"A Business Case is a document that outlines the justification for a project, including its costs, benefits, and risks.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the extent of the work to be done in a project, including its objectives, deliverables, and boundaries.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements are the needs or conditions that must be met by the project, including its goals, objectives, and constraints.\")##\n(\"entity\"<|>\"Scope Stability\"<|>\"concept\"<|>\"Scope Stability refers to the degree to which the project scope is stable and unlikely to change.\")##\n(\"entity\"<|>\"Requirements Certainty\"<|>\"concept\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a4fab2dbc43aadccae28fbdb7fd6793a": { + "return": "(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication from the Project Management Institute that provides a framework for project management.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"July is the month in which the PMBOK Guide is published.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"organization\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"Predictive Life Cycle\"<|>\"event\"<|>\"Predictive Life Cycle is a type of life cycle used in project management.\")##\n(\"entity\"<|>\"Incremental Development Approach\"<|>\"event\"<|>\"Incremental Development Approach is a type of development approach used in project management.\")##\n(\"entity\"<|>\"Adaptive Development Approach\"<|>\"event\"<|>\"Adaptive Development Approach is a type of development approach used in project management.\")##\n(\"entity\"<|>\"Delivery Cadence\"<|>\"concept\"<|>\"Delivery Cadence refers to the frequency at which project deliverables are released.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the methodology used to develop project deliverables.\")##\n(\"entity\"<|>\"Life Cycle\"<|>\"concept\"<|>\"Life Cycle refers to the sequence of phases in a project.\")##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"PMI\"<|>\"PMBOK Guide is published by PMI, the Project Management Institute.\"<|>\"publication, organization\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Management Institute\"<|>\"PMBOK Guide is a publication from the Project Management Institute.\"<|>\"publication, organization\"<|>9)##\n(\"relationship\"<|>\"July\"<|>\"event\"<|>\"July is the month in which the PMBOK Guide is published, marking a specific event in the project management calendar.\"<|>\"publication, date\"<|>8)##\n(\"relationship\"<|>\"Predictive Life Cycle\"<|>\"Incremental Development Approach\"<|>\"Predictive Life Cycle and Incremental Development Approach are related as Predictive Life Cycle can", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c5ce087495d2ddd2a459a22bd23afaa5": { + "return": "After re-extracting the entities from the text, I have added the missed entities to the list:\n\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication from the Project Management Institute that provides a framework for project management.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"July is the month in which the PMBOK Guide is published.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"organization\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"Predictive Life Cycle\"<|>\"event\"<|>\"Predictive Life Cycle is a type of life cycle used in project management.\")##\n(\"entity\"<|>\"Incremental Development Approach\"<|>\"event\"<|>\"Incremental Development Approach is a type of development approach used in project management.\")##\n(\"entity\"<|>\"Adaptive Development Approach\"<|>\"event\"<|>\"Adaptive Development Approach is a type of development approach used in project management.\")##\n(\"entity\"<|>\"Delivery Cadence\"<|>\"concept\"<|>\"Delivery Cadence refers to the frequency at which project deliverables are released.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the methodology used to develop project deliverables.\")##\n(\"entity\"<|>\"Life Cycle\"<|>\"concept\"<|>\"Life Cycle refers to the sequence of phases in a project.\")##\n(\"entity\"<|>\"Feasibility\"<|>\"event\"<|>\"Feasibility is a phase in a project life cycle that determines if the business case is valid.\")##\n(\"entity\"<|>\"Design\"<|>\"event\"<|>\"Design is a phase in a project life cycle that involves planning and analysis.\")##\n(\"entity\"<|>\"Build\"<|>\"event\"<|>\"Build is a phase in a project life cycle that involves construction and quality assurance.\")##\n(\"entity\"<|>\"Test\"<|>\"event\"<|>\"Test is a phase in a project life cycle that involves quality review and inspection.\")##\n(\"entity\"<|>\"Deploy\"<|>\"event\"<|>\"Deploy is a phase in a project life cycle that", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "23724c3bab6bed442b4ece7777bcfb4d": { + "return": "(\"entity\"<|>\"Cadence\"<|>\"concept\"<|>\"Cadence refers to the rhythm or pace of project deliveries and development.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Community Center\"<|>\"geo\"<|>\"The Community Center is a geographic location where various services and activities are offered.\")##\n(\"entity\"<|>\"Senior Services\"<|>\"organization\"<|>\"Senior Services is an organization that provides services to seniors.\")##\n(\"entity\"<|>\"Community Action Patrol Training\"<|>\"organization\"<|>\"Community Action Patrol Training is an organization that offers training and services.\")##\n(\"entity\"<|>\"Website\"<|>\"technology\"<|>\"The Website is a technological platform used for delivering information and services.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refer to the different aspects of project management, such as development, delivery, and team performance.\")##\n(\"entity\"<|>\"Development Approach and Life Cycle Performance Domain\"<|>\"concept\"<|>\"Development Approach and Life Cycle Performance Domain refers to the way a project is managed, including the development approach and life cycle.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain refers to the process of delivering value in alignment with the business case and benefits realization plans.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"Team Performance Domain refers to the project team's capabilities and leadership skills.\")##\n(\"relationship\"<|>\"Cadence\"<|>\"PMI\"<|>\"Cadence is used in the context of the PMI's publications and guidelines.\")##\n(\"relationship\"<|>\"Cadence\"<|>\"Community Center\"<|>\"Cadence is relevant to the development and delivery of services at the Community Center.\")##\n(\"relationship\"<|>\"Cadence\"<|>\"Senior Services\"<|>\"Cadence is relevant to the development and delivery of services by Senior Services.\")##\n(\"relationship\"<|>\"Cadence\"<|>\"Community Action Patrol Training\"<|>\"Cadence is relevant to the development and delivery of training services by Community Action Patrol Training.\")##\n(\"relationship\"<|>\"Cadence\"<|>\"Website\"<|>\"Cadence is relevant to the development and delivery of website content.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Performance Domains\"<|>\"PMI publishes guidelines for project performance domains.\")##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "aac9e30ca6c3933e0d9e869ba475df07": { + "return": "After re-extracting the entities, I've added the missing ones to the list. Here is the updated output:\n\n(\"entity\"<|>\"Cadence\"<|>\"concept\"<|>\"Cadence refers to the rhythm or pace of project deliveries and development.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Community Center\"<|>\"geo\"<|>\"The Community Center is a geographic location where various services and activities are offered.\")##\n(\"entity\"<|>\"Senior Services\"<|>\"organization\"<|>\"Senior Services is an organization that provides services to seniors.\")##\n(\"entity\"<|>\"Community Action Patrol Training\"<|>\"organization\"<|>\"Community Action Patrol Training is an organization that offers training and services.\")##\n(\"entity\"<|>\"Website\"<|>\"technology\"<|>\"The Website is a technological platform used for delivering information and services.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refer to the different aspects of project management, such as development, delivery, and team performance.\")##\n(\"entity\"<|>\"Development Approach and Life Cycle Performance Domain\"<|>\"concept\"<|>\"Development Approach and Life Cycle Performance Domain refers to the way a project is managed, including the development approach and life cycle.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain refers to the process of delivering value in alignment with the business case and benefits realization plans.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"Team Performance Domain refers to the project team's capabilities and leadership skills.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication that provides guidelines for project management.\")##\n(\"entity\"<|>\"Seventh Edition\"<|>\"technology\"<|>\"Seventh Edition is a version of the PMBOK Guide.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is a specific date mentioned in the text.\")##\n(\"entity\"<|>\"Figure 2-12\"<|>\"technology\"<|>\"Figure 2-12 is an illustration that shows a possible life cycle for the community center project.\")##\n(\"entity\"<|>\"Start Up\"<|>\"event\"<|>\"Start Up is a phase in the community center project life cycle.\")##\n(\"entity\"<|>\"Plan\"<|>\"event\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7554762c070831e58095ff7f2bdfbd16": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which is a guide for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that provides resources and guidance for project management professionals.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses the planning performance domain.\")##\n(\"entity\"<|>\"Table 2-5\"<|>\"event\"<|>\"Table 2-5 is a table in the PMBOK Guide that lists outcomes and ways of checking them for different development approaches.\")##\n(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project is a temporary endeavor with a specific goal or deliverable.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the method used to create project deliverables.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a part of project management that involves organizing, elaborating, and coordinating project work.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the phases of a project, from initiation to completion.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI and Project Management Institute are related as PMI is the organization behind the Project Management Institute.\")##\n(\"relationship\"<|>\"Section 2 – Project Performance Domains\"<|>\"Planning Performance Domain\"<|>\"Section 2 – Project Performance Domains discusses the Planning Performance Domain in detail.\")##\n(\"relationship\"<|>\"Table 2-5\"<|>\"Planning Performance Domain\"<|>\"Table 2-5 is a resource used to check outcomes in the Planning Performance Domain.\")##\n(\"relationship\"<|>\"Project\"<|>\"Development Approach\"<|>\"The project's development approach influences how project planning is conducted.\")##\n(\"relationship\"<|>\"Project Life Cycle\"<|>\"Planning Performance Domain\"<|>\"The project life cycle is part of the Planning Performance Domain.\")##\n(\"content_keywords\"<|>\"project management, planning, development approach, project life cycle\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3c74c483516ba95ffb24fbdbe770dd09": { + "return": "After re-extracting the entities and relationships from the text, I have added the missing entities below:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which is a guide for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that provides resources and guidance for project management professionals.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses the planning performance domain.\")##\n(\"entity\"<|>\"Table 2-5\"<|>\"event\"<|>\"Table 2-5 is a table in the PMBOK Guide that lists outcomes and ways of checking them for different development approaches.\")##\n(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project is a temporary endeavor with a specific goal or deliverable.\")##\n(\"entity\"<|>\"Development Approach\"<|>\"concept\"<|>\"Development Approach refers to the method used to create project deliverables.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a part of project management that involves organizing, elaborating, and coordinating project work.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the phases of a project, from initiation to completion.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide for project management published by PMI.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables are the specific goals or products of a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of people working on a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in the project.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"Business Case refers to the justification for a project, including its benefits and costs.\")##\n(\"entity\"<|>\"Vision Statement\"<|>\"concept\"<|>\"Vision Statement is a statement that describes the project's goals and objectives.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"concept\"<|>\"Project Charter is a document that formally authorizes a project.\")##\n(\"entity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3cdf57c45dba6b9e11650a0fae51b1ce": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the publisher of the PMBOK Guide, a reference for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference for project management, providing guidelines and best practices.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the result of a project, which can be a tangible or intangible item.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the work performed to deliver a product or project with specified features and functions.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"concept\"<|>\"Stakeholder refers to an individual or group with an interest in the project or product.\")##\n(\"entity\"<|>\"Regulatory agency\"<|>\"organization\"<|>\"Regulatory agency refers to an organization that enforces laws and regulations.\")##\n(\"entity\"<|>\"Authorization\"<|>\"concept\"<|>\"Authorization refers to the permission or approval granted by a regulatory agency to proceed with a project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a reference for project management.\"<|>\"publication, reference material\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMBOK Guide\"<|>\"Project Management Institute is associated with the PMBOK Guide, which provides guidelines for project management.\"<|>\"organization, publication\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project\"<|>\"PMBOK Guide provides guidelines for managing projects, which are temporary endeavors with specific goals or objectives.\"<|>\"project management, guidelines\"<|>7)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Product\"<|>\"PMBOK Guide provides guidelines for managing products, which are the results of projects with specified features and functions.\"<|>\"product management, guidelines\"<|>8)##\n(\"relationship\"<|>\"Scope\"<|>\"Stakeholder\"<|>\"Scope refers to the work performed to deliver a product or project that meets the needs and expectations of stakeholders.\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a006ccb84f540f8ca1b5126cf7a86933": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the publisher of the PMBOK Guide, a reference for project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference for project management, providing guidelines and best practices.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the result of a project, which can be a tangible or intangible item.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the work performed to deliver a product or project with specified features and functions.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"concept\"<|>\"Stakeholder refers to an individual or group with an interest in the project or product.\")##\n(\"entity\"<|>\"Regulatory agency\"<|>\"organization\"<|>\"Regulatory agency refers to an organization that enforces laws and regulations.\")##\n(\"entity\"<|>\"Authorization\"<|>\"concept\"<|>\"Authorization refers to the permission or approval granted by a regulatory agency to proceed with a project.\")##\n(\"entity\"<|>\"Guidelines\"<|>\"technology\"<|>\"Guidelines refer to the recommendations or standards provided by the PMBOK Guide for project management.\")##\n(\"entity\"<|>\"Best practices\"<|>\"concept\"<|>\"Best practices refer to the methods or techniques that are widely accepted as being most effective in project management.\")##\n(\"entity\"<|>\"Project deliverables\"<|>\"concept\"<|>\"Project deliverables refer to the outputs or results of a project.\")##\n(\"entity\"<|>\"Business case\"<|>\"concept\"<|>\"Business case refers to the justification or rationale for undertaking a project.\")##\n(\"entity\"<|>\"Project life cycle\"<|>\"concept\"<|>\"Project life cycle refers to the stages or phases through which a project passes from initiation to completion.\")##\n(\"entity\"<|>\"Project phase\"<|>\"concept\"<|>\"Project phase refers to a stage or segment of the project life cycle.\")##\n(\"entity\"<|>\"Work breakdown structure\"<|>\"technology\"<|>\"Work breakdown structure (WBS) refers to a hierarchical decomposition of", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9bc79154a7027d76358102990fda9aa1": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a reference for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework published by PMI.\")##\n(\"entity\"<|>\"project\"<|>\"concept\"<|>\"A project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"effort\"<|>\"concept\"<|>\"Effort refers to the amount of work required to complete a task or project.\")##\n(\"entity\"<|>\"schedule\"<|>\"concept\"<|>\"A schedule is a plan for executing a project's activities, including durations, dependencies, and other planning information.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"event\"<|>\"PMI Seventh Edition is a version of the PMBOK Guide, indicating an update or revision.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a key reference for project management.\"<|>\"publication, reference\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"project\"<|>\"The PMBOK Guide provides a framework for managing projects, which are temporary endeavors with specific goals or objectives.\"<|>\"project management, framework\"<|>8)##\n(\"relationship\"<|>\"effort\"<|>\"schedule\"<|>\"Effort is a component of a schedule, which plans the execution of a project's activities.\"<|>\"planning, execution\"<|>7)##\n(\"relationship\"<|>\"PMI Seventh Edition\"<|>\"PMBOK Guide\"<|>\"PMI Seventh Edition is an updated version of the PMBOK Guide, indicating a revision or improvement.\"<|>\"update, improvement\"<|>6)##\n(\"content_keywords\"<|>\"project management, planning, execution, publication\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3f194bb5fe0f86aef4e6659868506c34": { + "return": "After re-extracting the entities and relationships, I found additional entities and relationships. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a reference for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework published by PMI.\")##\n(\"entity\"<|>\"project\"<|>\"concept\"<|>\"A project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"effort\"<|>\"concept\"<|>\"Effort refers to the amount of work required to complete a task or project.\")##\n(\"entity\"<|>\"schedule\"<|>\"concept\"<|>\"A schedule is a plan for executing a project's activities, including durations, dependencies, and other planning information.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"event\"<|>\"PMI Seventh Edition is a version of the PMBOK Guide, indicating an update or revision.\")##\n(\"entity\"<|>\"activity\"<|>\"concept\"<|>\"An activity is a task or action within a project.\")##\n(\"entity\"<|>\"dependency\"<|>\"concept\"<|>\"A dependency is a relationship between activities in a project.\")##\n(\"entity\"<|>\"lag\"<|>\"concept\"<|>\"A lag is a delay of a successor activity in a project.\")##\n(\"entity\"<|>\"lead\"<|>\"concept\"<|>\"A lead is where the work of a successor activity is accelerated in a project.\")##\n(\"entity\"<|>\"release\"<|>\"concept\"<|>\"A release is a collection of features and functionality in a project.\")##\n(\"entity\"<|>\"iteration\"<|>\"concept\"<|>\"An iteration is a cycle of work in a project.\")##\n(\"entity\"<|>\"iteration plan\"<|>\"technology\"<|>\"An iteration plan is a high-level plan for a release in a project.\")##\n(\"entity\"<|>\"figure\"<|>\"technology\"<|>\"A figure is a visual representation of information in a document.\")##\n(\"entity\"<|>\"example\"<|>\"technology\"<|>\"An example is a demonstration or illustration of a concept or process.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a key reference for project management.\"<|>\"publication, reference\"<|>9)##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f828326fb114e99bae57bdd50e4f9980": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide, a reference for project management practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide for project management practices, used by the PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals working on a project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is the person responsible for leading the project team.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide, focusing on project performance.\")##\n(\"entity\"<|>\"Release Plan\"<|>\"event\"<|>\"Release Plan is a plan that outlines the features and functionality to be included in each release.\")##\n(\"entity\"<|>\"Iteration Plan\"<|>\"event\"<|>\"Iteration Plan is a plan that outlines the tasks and features to be completed in each iteration.\")##\n(\"entity\"<|>\"Timebox\"<|>\"event\"<|>\"Timebox is a scheduling approach used in adaptive project management, where work is done in fixed periods.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI is the organization behind the PMBOK Guide, a reference for project management practices.\"<|>\"organization, publication\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"The Project Manager leads the Project Team, guiding their work and activities.\"<|>\"leadership, management\"<|>10)##\n(\"relationship\"<|>\"Project Team\"<|>\"Release Plan\"<|>\"The Project Team follows the Release Plan to ensure the features and functionality are delivered as planned.\"<|>\"project management, planning\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Iteration Plan\"<|>\"The Project Team follows the Iteration Plan to complete tasks and features in each iteration.\"<|>\"project management, planning\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Section 2 – Project Performance Domains\"<|>\"The Project Manager uses the concepts in Section 2 – Project Performance Domains to guide project performance.\"<|>\"leadership, guidance\"<|>9)##\n(\"relationship\"<|>\"Release Plan\"<|>\"Iteration Plan\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2d4c33d75f2de0ab84eef9d43feecfd2": { + "return": "After re-extracting the entities and relationships from the text, I found additional entities and relationships. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization behind the PMBOK Guide, a reference for project management practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide for project management practices, used by the PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals working on a project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is the person responsible for leading the project team.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide, focusing on project performance.\")##\n(\"entity\"<|>\"Release Plan\"<|>\"event\"<|>\"Release Plan is a plan that outlines the features and functionality to be included in each release.\")##\n(\"entity\"<|>\"Iteration Plan\"<|>\"event\"<|>\"Iteration Plan is a plan that outlines the tasks and features to be completed in each iteration.\")##\n(\"entity\"<|>\"Timebox\"<|>\"event\"<|>\"Timebox is a scheduling approach used in adaptive project management, where work is done in fixed periods.\")##\n(\"entity\"<|>\"Project\"<|>\"event\"<|>\"Project refers to the overall effort to achieve specific goals and objectives.\")##\n(\"entity\"<|>\"Project Schedule\"<|>\"event\"<|>\"Project Schedule is a plan that outlines the timeline and milestones for a project.\")##\n(\"entity\"<|>\"Cost Baseline\"<|>\"event\"<|>\"Cost Baseline is a plan that outlines the budget and costs for a project.\")##\n(\"entity\"<|>\"Contingency Reserve\"<|>\"event\"<|>\"Contingency Reserve is a fund set aside to handle unexpected expenses or risks.\")##\n(\"entity\"<|>\"Management Reserve\"<|>\"event\"<|>\"Management Reserve is a fund set aside for unexpected activities related to in-scope work.\")##\n(\"entity\"<|>\"Budget Build Up\"<|>\"event\"<|>\"Budget Build Up is a process that outlines the breakdown of a project budget.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"event\"<|>\"Project Performance Domains is a concept that outlines the different aspects of project performance.\")", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "af3f36c5bc7395d73f326c0b52772a47": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"Project team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder refers to individuals or groups affected by the project, with varying levels of interest and influence.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide, outlining project performance domains.\")##\n(\"entity\"<|>\"Project\"<|>\"event\"<|>\"Project is a temporary endeavor with a specific goal, scope, and timeline.\")##\n(\"entity\"<|>\"Procurement\"<|>\"event\"<|>\"Procurement refers to the process of acquiring goods, services, or works from external sources.\")##\n(\"entity\"<|>\"Change control process\"<|>\"event\"<|>\"Change control process is a process for managing and controlling changes to the project scope, schedule, or budget.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project team\"<|>\"PMI provides guidance for project teams to manage their projects effectively.\"<|>\"guidance, project management\"<|>8)##\n(\"relationship\"<|>\"Project team\"<|>\"Stakeholder\"<|>\"Project teams interact with stakeholders to understand their needs and expectations.\"<|>\"stakeholder engagement, communication\"<|>7)##\n(\"relationship\"<|>\"Project team\"<|>\"Section 2 – Project Performance Domains\"<|>\"Project teams apply the concepts outlined in Section 2 – Project Performance Domains to manage their projects effectively.\"<|>\"project management, performance domains\"<|>9)##\n(\"relationship\"<|>\"Stakeholder\"<|>\"Procurement\"<|>\"Stakeholders may be involved in procurement decisions, ensuring that their needs are met.\"<|>\"procurement, stakeholder engagement\"<|>6)##\n(\"relationship\"<|>\"Project\"<|>\"Change control process\"<|>\"Projects involve change control processes to manage and control changes to the project scope, schedule, or budget.\"<|>\"change management, project control\"<|>8)##\n(\"relationship\"<|>\"Procurement\"<|>\"Change control process\"<|>\"Procurement and change control processes are closely related, as procurement may involve changes to the project scope or", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6b4ce9fe9ac2f0d60ca0fdd19d91008c": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains is a framework for organizing project management activities.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a resource for project management, providing guidance on best practices and methodologies.\")##\n(\"entity\"<|>\"Contracting professionals\"<|>\"person\"<|>\"Contracting professionals are responsible for managing procurement activities and contracts.\")##\n(\"entity\"<|>\"Goods\"<|>\"concept\"<|>\"Goods refer to physical products or materials acquired through procurement.\")##\n(\"entity\"<|>\"Services\"<|>\"concept\"<|>\"Services refer to intangible products or benefits acquired through procurement.\")##\n(\"entity\"<|>\"Works\"<|>\"concept\"<|>\"Works refer to constructed or manufactured products acquired through procurement.\")##\n(\"entity\"<|>\"Logistics\"<|>\"concept\"<|>\"Logistics refers to the planning and coordination of the movement and storage of goods, materials, and equipment.\")##\n(\"entity\"<|>\"Supply chain\"<|>\"concept\"<|>\"Supply chain refers to the network of organizations, people, activities, information, and resources involved in producing and delivering a product or service.\")##\n(\"entity\"<|>\"Physical resources\"<|>\"concept\"<|>\"Physical resources include materials, equipment, software, and other non-human resources required for project execution.\")##\n(\"entity\"<|>\"Materials\"<|>\"concept\"<|>\"Materials refer to physical products or substances used in project execution.\")##\n(\"entity\"<|>\"Equipment\"<|>\"concept\"<|>\"Equipment refers to machinery, tools, and other physical assets used in project execution.\")##\n(\"entity\"<|>\"Software\"<|>\"concept\"<|>\"Software refers to computer programs and systems used in project execution.\")##\n(\"entity\"<|>\"Test and evaluation processes\"<|>\"concept\"<|>\"Test and evaluation processes are used to measure project performance and quality.\")##\n(\"entity\"<|>\"Metrics\"<|>\"concept\"<|>\"Metrics are quantifiable measures used to evaluate project performance and quality.\")##\n(\"entity\"<|>\"Thresholds\"<|>\"concept\"<|>\"Thresholds are the minimum or maximum values for metrics, used to determine project performance.\")##\n(\"entity\"<|>\"Performance\"<|>\"concept\"<|>\"Performance refers to the achievement of project objectives and quality standards.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the specific goals, deliverables,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a72fc4b7491c6d8df0286d6f93ca5793": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which is a reference for project management best practices.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"Project Work Performance Domain is a concept that addresses activities and functions associated with establishing project processes, managing physical resources, and fostering a learning environment.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is a person responsible for establishing and reviewing project processes and conducting the work.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to deliver the expected deliverables and outcomes.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides a reference for project management best practices.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a concept that involves establishing the processes and performing the work to enable the project team to deliver the expected deliverables and outcomes.\")##\n(\"entity\"<|>\"Performance Domain\"<|>\"concept\"<|>\"Performance Domain is a concept that addresses activities and functions associated with project performance.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a reference for project management best practices.\"<|>\"publication, best practices\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"The Project Manager is responsible for leading the Project Team in delivering the expected deliverables and outcomes.\"<|>\"leadership, team management\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project\"<|>\"The Project Team works together to deliver the expected deliverables and outcomes of the Project.\"<|>\"collaboration, project delivery\"<|>8)##\n(\"relationship\"<|>\"Project Work Performance Domain\"<|>\"Project\"<|>\"The Project Work Performance Domain addresses activities and functions associated with establishing project processes and managing physical resources for the Project.\"<|>\"project management, process establishment\"<|>7)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Manager\"<|>\"The PMBOK Guide provides a reference for the Project Manager to establish and review project processes.\"<|>\"guidance, process management\"<|>6)##\n(\"content_keywords\"<|>\"project management, project delivery, process establishment, collaboration\")<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ac20b59a610a7a65bc084fea6ac85436": { + "return": "## (\"entity\"<|>\"PMI Seventh Edition\"<|>\"technology\"<|>\"PMI Seventh Edition is a reference for project management best practices.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"concept\"<|>\"Section 2 – Project Performance Domains is a concept that addresses activities and functions associated with project performance.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains is a concept that addresses activities and functions associated with project performance.\")##\n(\"entity\"<|>\"Project Baselines\"<|>\"concept\"<|>\"Project Baselines are reference points used to measure project performance.\")##\n(\"entity\"<|>\"Measurement Metrics\"<|>\"concept\"<|>\"Measurement Metrics are used to evaluate project performance.\")##\n(\"entity\"<|>\"Performance Variance\"<|>\"concept\"<|>\"Performance Variance refers to the difference between actual and planned project performance.\")##\n(\"entity\"<|>\"Thresholds\"<|>\"concept\"<|>\"Thresholds are used to evaluate the acceptability of project performance.\")##\n(\"entity\"<|>\"Project Results\"<|>\"concept\"<|>\"Project Results refer to the outcomes of the project.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"Business Case is a document that justifies the project.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the products or services resulting from the project.\")##\n(\"entity\"<|>\"Outcomes\"<|>\"concept\"<|>\"Outcomes are the results of the project.\")##\n(\"entity\"<|>\"Project Plans\"<|>\"concept\"<|>\"Project Plans are documents that outline the project scope, schedule, budget, and resources.\")##\n(\"entity\"<|>\"Project Documents\"<|>\"concept\"<|>\"Project Documents are documents used to manage the project.\")##\n(\"entity\"<|>\"Change Control Process\"<|>\"concept\"<|>\"Change Control Process is a process used to manage changes to the project.\")##\n(\"entity\"<|>\"Change Logs\"<|>\"concept\"<|>\"Change Logs are records of changes made to the project.\")##\n(\"entity\"<|>\"Change Control Board\"<|>\"organization\"<|>\"Change Control Board is a group responsible for managing changes to the project.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project Team Members are individuals working on the project.\")##\n(\"entity\"<|>\"Environment\"<|>\"geo\"<|>\"Environment refers to the external factors affecting the project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e8ed1e5198b12c1c72f6e306a7ca1ea6": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a reference for project management practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guidebook for project management, containing best practices and methodologies.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to deliver a project.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"The Project Manager is responsible for leading the project team and making decisions.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"A Stakeholder is an individual or group with an interest in the project.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"The Customer is the individual or organization that commissioned the project.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"The Product Owner is responsible for defining and prioritizing the project scope.\")##\n(\"entity\"<|>\"Project Sponsor\"<|>\"person\"<|>\"The Project Sponsor is the individual or organization that provides funding and support for the project.\")##\n(\"entity\"<|>\"Logistics\"<|>\"concept\"<|>\"Logistics refers to the planning and coordination of physical resources and materials.\")##\n(\"entity\"<|>\"Physical Resources\"<|>\"concept\"<|>\"Physical Resources include materials, supplies, and equipment needed for the project.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"The Project Manager leads the Project Team in delivering the project goals.\"<|>\"leadership, team management\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Stakeholder\"<|>\"The Project Manager communicates with Stakeholders to understand their needs and expectations.\"<|>\"communication, stakeholder engagement\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Customer\"<|>\"The Project Manager works with the Customer to define and deliver the project scope.\"<|>\"customer satisfaction, project scope\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Product Owner\"<|>\"The Project Manager collaborates with the Product Owner to prioritize the project scope.\"<|>\"project scope, prioritization\"<|>7)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Sponsor\"<|>\"The Project Manager reports to the Project Sponsor and seeks their support and approval.\"<|>\"reporting, sponsorship\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "16cd096bf7e8aa0ec1413e68157594a6": { + "return": "(\"entity\"<|>\"Project\"<|>\"mission\"<|>\"A Project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refer to the areas of focus for a project, such as project scope, schedule, and budget.\")##\n(\"entity\"<|>\"Project Scope\"<|>\"concept\"<|>\"Project Scope refers to the work that is included or excluded from the project.\")##\n(\"entity\"<|>\"Project Schedule\"<|>\"concept\"<|>\"Project Schedule refers to the timeline for completing the project tasks.\")##\n(\"entity\"<|>\"Project Budget\"<|>\"concept\"<|>\"Project Budget refers to the financial resources allocated for the project.\")##\n(\"entity\"<|>\"Value-Adding Activities\"<|>\"concept\"<|>\"Value-Adding Activities are tasks that create value for the customer or stakeholders.\")##\n(\"entity\"<|>\"Non-Value-Adding Activities\"<|>\"concept\"<|>\"Non-Value-Adding Activities are tasks that do not create value for the customer or stakeholders.\")##\n(\"entity\"<|>\"Lean Production Methods\"<|>\"technology\"<|>\"Lean Production Methods are techniques used to eliminate waste and improve efficiency.\")##\n(\"entity\"<|>\"Value Stream Mapping\"<|>\"technology\"<|>\"Value Stream Mapping is a technique used to visualize and improve the flow of value-added activities.\")##\n(\"entity\"<|>\"Retrospectives\"<|>\"event\"<|>\"Retrospectives are meetings held to review and improve the project process.\")##\n(\"entity\"<|>\"Lessons Learned\"<|>\"event\"<|>\"Lessons Learned are insights gained from the project experience that can be applied to future projects.\")##\n(\"entity\"<|>\"Project Team Member\"<|>\"person\"<|>\"A Project Team Member is an individual working on the project team.\")##\n(\"entity\"<|>\"Governance\"<|>\"concept\"<|>\"Governance refers to the rules and regulations that govern the project.\")##\n(\"entity\"<|>\"Regulatory Codes\"<|>\"concept\"<|>\"Regulatory Codes are laws and regulations that must be followed during the project.\")##\n(\"entity\"<|>\"Quality Requirements\"<|>\"concept\"<|>\"Quality Requirements are standards that must be met during the project.\")##\n(\"entity\"<|>\"Organizational Policies\"<|>\"concept\"<|>\"Organizational Policies are rules and guidelines that govern the organization's behavior.\")##\n(\"entity\"<|>\"Triple Bottom Line\"<|>\"concept\"<|>\"Triple Bottom Line", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8c9a09624b2dff89112abb7177d9ae5b": { + "return": "(\"entity\"<|>\"Procurement\"<|>\"organization\"<|>\"Procurement refers to the process of obtaining goods or services from external sources, involving contracts and regulations.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is responsible for overseeing project activities, including procurement, and working with contracting professionals.\")##\n(\"entity\"<|>\"Contracting Officer\"<|>\"person\"<|>\"Contracting Officer is an expert in contracts, laws, and regulations, and works with project managers on procurements.\")##\n(\"entity\"<|>\"Bidder\"<|>\"organization\"<|>\"Bidder refers to a vendor or supplier that submits a proposal or quote for a project.\")##\n(\"entity\"<|>\"Vendor\"<|>\"organization\"<|>\"Vendor is a supplier or contractor that provides goods or services to a project.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"Product Owner prioritizes the project backlog and manages expectations around adding scope and budget.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is responsible for executing project activities, including procurement and scope management.\")##\n(\"entity\"<|>\"Change Control Board\"<|>\"organization\"<|>\"Change Control Board guides change requests through the change control process.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Procurement\"<|>\"Project Manager is involved in the procurement process, overseeing activities and working with contracting professionals.\"<|>\"procurement, project management\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Contracting Officer\"<|>\"Project Manager works with Contracting Officer on procurements, ensuring compliance with contracts and regulations.\"<|>\"collaboration, regulation compliance\"<|>9)##\n(\"relationship\"<|>\"Contracting Officer\"<|>\"Vendor\"<|>\"Contracting Officer works with Vendors to develop and select proposals and quotes.\"<|>\"vendor management, contract negotiation\"<|>7)##\n(\"relationship\"<|>\"Product Owner\"<|>\"Project Team\"<|>\"Product Owner works with Project Team to prioritize the project backlog and manage expectations around adding scope and budget.\"<|>\"scope management, collaboration\"<|>6)##\n(\"relationship\"<|>\"Project Team\"<|>\"Vendor\"<|>\"Project Team works with Vendors to execute project activities, including procurement and scope management.\"<|>\"vendor management, project execution\"<|>8)##\n(\"relationship\"<|>\"Change Control Board\"<|>\"Project Manager\"<|>\"Change Control Board works with Project Manager to guide change requests", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "bdea906ba784707aa5bfece8adc8274a": { + "return": "(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project refers to a set of activities and tasks that aim to achieve specific goals and objectives.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the boundaries and limits of a project, including the work to be done and the resources required.\")##\n(\"entity\"<|>\"Scope Baseline\"<|>\"concept\"<|>\"Scope Baseline refers to the approved and documented scope of a project.\")##\n(\"entity\"<|>\"Scope Change\"<|>\"concept\"<|>\"Scope Change refers to any modification to the scope of a project.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to any uncertain event or condition that could impact a project.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"organization\"<|>\"Stakeholder refers to any individual or group affected by or interested in a project.\")##\n(\"entity\"<|>\"Project Backlog\"<|>\"concept\"<|>\"Project Backlog refers to the list of tasks and activities to be completed in a project.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the outcome or result of a project.\")##\n(\"entity\"<|>\"Request for Information\"<|>\"concept\"<|>\"Request for Information refers to a document used to gather information from vendors before sending out bid documents.\")##\n(\"entity\"<|>\"Request for Proposal\"<|>\"concept\"<|>\"Request for Proposal refers to a document used for complex or complicated scopes where the buyer is looking for the vendor to provide a solution.\")##\n(\"entity\"<|>\"Request for Quote\"<|>\"concept\"<|>\"Request for Quote refers to a document used when price is the main deciding factor, and the proposed solution is readily available.\")##\n(\"entity\"<|>\"Bidder Conference\"<|>\"event\"<|>\"Bidder Conference refers to a meeting between the buyer and bidders to respond to questions and provide clarifying information.\")##\n(\"entity\"<|>\"Master Agreement\"<|>\"concept\"<|>\"Master Agreement refers to a contract that outlines the terms and conditions for a project.\")##\n(\"entity\"<|>\"Appendix\"<|>\"concept\"<|>\"Appendix refers to a supplementary document that provides additional information or clarification.\")##\n(\"relationship\"<|>\"Project Manager\"<|>\"Scope\"<|>\"Project Manager is responsible for defining and managing the scope of a project.\"<|>\"scope management, project management\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "472c29ff29d7c406cead9f7d3e68ff3f": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides a guide for project management practices, including the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"Project Work Performance Domain is a concept in project management that interacts and enables other performance domains.\")##\n(\"entity\"<|>\"Project Delivery Performance Domain\"<|>\"concept\"<|>\"Project Delivery Performance Domain is a concept in project management that addresses activities and functions associated with delivering the scope and quality of a project.\")##\n(\"entity\"<|>\"Knowledge Management\"<|>\"concept\"<|>\"Knowledge Management is a concept that involves the processes and activities to manage and share knowledge within an organization.\")##\n(\"entity\"<|>\"Explicit Knowledge\"<|>\"concept\"<|>\"Explicit Knowledge is a type of knowledge that can be readily codified and shared within an organization.\")##\n(\"entity\"<|>\"Tacit Knowledge\"<|>\"concept\"<|>\"Tacit Knowledge is a type of knowledge that is challenging to express and is shared through personal connections and experiences.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder is a person or group that has an interest in the project or its outcomes.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Work Performance Domain\"<|>\"PMI provides guidance on project work performance domain practices, which are used in the project management process.\"<|>\"guidance, best practices\"<|>8)##\n(\"relationship\"<|>\"Project Work Performance Domain\"<|>\"Project Delivery Performance Domain\"<|>\"Project work performance domain interacts and enables project delivery performance domain to achieve project objectives.\"<|>\"interdependence, project management\"<|>9)##\n(\"relationship\"<|>\"Knowledge Management\"<|>\"Tacit Knowledge\"<|>\"Knowledge management involves the sharing of tacit knowledge among team members and stakeholders.\"<|>\"knowledge sharing, collaboration\"<|>7)##\n(\"relationship\"<|>\"Explicit Knowledge\"<|>\"Project\"<|>\"Explicit knowledge is developed and shared during project activities to improve project outcomes.\"<|>\"knowledge development, project management\"<|>6)##\n(\"relationship\"<|>\"Tacit Knowledge\"<|>\"Project\"<|>\"Tacit knowledge is shared among team members and stakeholders during project activities to improve project outcomes.\"<|>\"knowledge sharing, project management\"<|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7efd5482cec126c8fdedfed3dce741dd": { + "return": "After re-extracting the entities and relationships from the text, I found additional entities and relationships that were not previously captured. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides a guide for project management practices, including the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"Project Work Performance Domain is a concept in project management that interacts and enables other performance domains.\")##\n(\"entity\"<|>\"Project Delivery Performance Domain\"<|>\"concept\"<|>\"Project Delivery Performance Domain is a concept in project management that addresses activities and functions associated with delivering the scope and quality of a project.\")##\n(\"entity\"<|>\"Knowledge Management\"<|>\"concept\"<|>\"Knowledge Management is a concept that involves the processes and activities to manage and share knowledge within an organization.\")##\n(\"entity\"<|>\"Explicit Knowledge\"<|>\"concept\"<|>\"Explicit Knowledge is a type of knowledge that can be readily codified and shared within an organization.\")##\n(\"entity\"<|>\"Tacit Knowledge\"<|>\"concept\"<|>\"Tacit Knowledge is a type of knowledge that is challenging to express and is shared through personal connections and experiences.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder is a person or group that has an interest in the project or its outcomes.\")##\n(\"entity\"<|>\"Table 2-7\"<|>\"concept\"<|>\"Table 2-7 is a table that identifies outcomes and ways of checking them in the project work performance domain.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome is a result or consequence of a project.\")##\n(\"entity\"<|>\"Check\"<|>\"concept\"<|>\"Check is a process or activity used to verify or validate an outcome.\")##\n(\"entity\"<|>\"Efficient and effective project performance\"<|>\"concept\"<|>\"Efficient and effective project performance is a desired outcome of project work.\")##\n(\"entity\"<|>\"Project processes\"<|>\"concept\"<|>\"Project processes are the activities and tasks that are used to achieve project objectives.\")##\n(\"entity\"<|>\"Communication and engagement with stakeholders\"<|>\"concept\"<|>\"Communication and engagement with stakeholders is a critical aspect of project management.\")##\n(\"entity\"<|>\"Physical resources", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9d3ec5faf9e0901a87003a8bebfec5ff": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which provides guidance on project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides guidance on project management.\")##\n(\"entity\"<|>\"Project\"<|>\"mission\"<|>\"Project refers to a mission that aims to develop new products or services, solve problems, or fix features.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to conditions or capabilities necessary to satisfy business needs.\")##\n(\"entity\"<|>\"Requirements Management\"<|>\"concept\"<|>\"Requirements Management is the process of eliciting, documenting, and managing requirements.\")##\n(\"entity\"<|>\"Business Case Document\"<|>\"technology\"<|>\"Business Case Document is a technology that provides a business justification and a projection of anticipated business value from a project.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables refer to interim or final products, services, or results from a project.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the sum of the products, services, and results to be provided as a project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a key resource for project management guidance.\"<|>\"publication, guidance\"<|>8)##\n(\"relationship\"<|>\"Project\"<|>\"Requirements\"<|>\"Projects aim to develop new products or services, solve problems, or fix features, which are driven by business needs and requirements.\"<|>\"mission, requirements\"<|>9)##\n(\"relationship\"<|>\"Requirements\"<|>\"Requirements Management\"<|>\"Requirements Management is the process of eliciting, documenting, and managing requirements to satisfy business needs.\"<|>\"process, management\"<|>10)##\n(\"relationship\"<|>\"Business Case Document\"<|>\"Project\"<|>\"A Business Case Document provides a business justification and a projection of anticipated business value from a project, which is a key aspect of project management.\"<|>\"business justification, project management\"<|>7)##\n(\"relationship\"<|>\"Deliverables\"<|>\"Project\"<|>\"Deliverables are the interim or final products, services, or results from a project, which are the outcome of project objectives.\"<|>\"outcome, project management\"<|>8)##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "16887a29cdd7f26140685ad9e1b58dff": { + "return": "(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"Customer refers to the individual or organization that receives the deliverables from a project.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder refers to any individual or group that may be affected by the project.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the outcome or result of a project.\")##\n(\"entity\"<|>\"Service\"<|>\"concept\"<|>\"Service refers to the outcome or result of a project that provides value to customers.\")##\n(\"entity\"<|>\"Defect\"<|>\"concept\"<|>\"Defect refers to a flaw or imperfection in a product or service.\")##\n(\"entity\"<|>\"Log\"<|>\"concept\"<|>\"Log refers to a record of events, actions, or transactions.\")##\n(\"entity\"<|>\"Project Authorizing Document\"<|>\"technology\"<|>\"Project Authorizing Document is a document that authorizes a project and provides a basis for decision-making.\")##\n(\"entity\"<|>\"Baselined Plan\"<|>\"technology\"<|>\"Baselined Plan is a plan that has been formally approved and serves as a basis for project execution.\")##\n(\"entity\"<|>\"Roadmap\"<|>\"technology\"<|>\"Roadmap is a high-level overview of a project's life cycle, major releases, key deliverables, and other top-level information.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"Project Manager is the person responsible for planning, organizing, and controlling project activities.\")##\n(\"entity\"<|>\"Business Analyst\"<|>\"person\"<|>\"Business Analyst is a person responsible for eliciting and documenting requirements.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"Product Owner is a person responsible for defining and prioritizing product backlog.\")##\n(\"entity\"<|>\"Value Engineer\"<|>\"person\"<|>\"Value Engineer is a person responsible for identifying and eliminating non-value-added activities.\")##\n(\"relationship\"<|>\"Customer\"<|>\"Project\"<|>\"Customers are the recipients of the deliverables from a project.\"<|>\"customer, project management\"<|>6)##\n(\"relationship\"<|>\"Stakeholder\"<|>\"Project\"<|>\"Stakeholders are individuals or groups that may be affected by the project.\"<|>\"stakeholder, project management\"<|>7)##\n(\"relationship\"<|>\"Product\"<|>\"Project\"<|>\"Product is the outcome or result of a", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6c9932a79355b9dbba3918152cc9de0a": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a reference book for project management.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refers to the areas of project management that focus on project delivery and performance.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the sum of products, services, and results to be provided as a project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to the needs or conditions that must be met for a project to be considered complete.\")##\n(\"entity\"<|>\"Scope Statement\"<|>\"document\"<|>\"A Scope Statement is a document that outlines the major deliverables and acceptance criteria for a project.\")##\n(\"entity\"<|>\"Work Breakdown Structure (WBS)\"<|>\"document\"<|>\"A WBS is a hierarchical decomposition of the total scope of work to be carried out by the project team.\")##\n(\"entity\"<|>\"Agile Charter\"<|>\"document\"<|>\"An Agile Charter is a document that outlines the themes and objectives of an agile project.\")##\n(\"entity\"<|>\"Product Hierarchy\"<|>\"document\"<|>\"A Product Hierarchy is a structure that represents the themes and components of a product.\")##\n(\"entity\"<|>\"Themes\"<|>\"concept\"<|>\"Themes refer to large groups of customer value reflected as user stories associated by a common factor.\")##\n(\"entity\"<|>\"Epics\"<|>\"concept\"<|>\"Epics are logical containers for large user stories that are too big to complete within an iteration.\")##\n(\"entity\"<|>\"Features\"<|>\"concept\"<|>\"Features refer to specific behaviors of a product, typically described as a short phrase or function.\")##\n(\"entity\"<|>\"User Stories\"<|>\"document\"<|>\"User Stories are brief descriptions of outcomes for specific users, which are promises for conversations to clarify details.\")##\n(\"entity\"<|>\"Project Governance Body\"<|>\"organization\"<|>\"A Project Governance Body is a group responsible for overseeing and approving project changes.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"role\"<|>\"A Product Owner is a role responsible for defining and prioritizing project requirements.\")##\n(\"entity\"<|>\"Executive Sponsor\"<|>\"role\"<|>\"An Executive Sponsor is a role that provides oversight and support for a project.\")##\n(\"relationship\"<|>\"PMI\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3b0d656e82a45be35b7107e91ab836c7": { + "return": "(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"A Project refers to a temporary endeavor with a specific goal and scope.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the products, services, or results to be provided as a project.\")##\n(\"entity\"<|>\"Completion Criteria\"<|>\"concept\"<|>\"Completion Criteria refer to the conditions that must be met for a project to be considered complete.\")##\n(\"entity\"<|>\"Definition of Done\"<|>\"concept\"<|>\"Definition of Done is a checklist of criteria required to be met for a deliverable to be considered ready for customer use.\")##\n(\"entity\"<|>\"Scope Creep\"<|>\"concept\"<|>\"Scope Creep refers to the phenomenon where additional scope or requirements are accepted without adjusting the corresponding schedule, budget, or resource needs.\")##\n(\"entity\"<|>\"Change Control System\"<|>\"concept\"<|>\"A Change Control System is a process for evaluating and approving changes to a project.\")##\n(\"entity\"<|>\"Project Governance Body\"<|>\"organization\"<|>\"A Project Governance Body is a group responsible for overseeing and approving project changes.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"role\"<|>\"A Product Owner is a role responsible for defining and prioritizing project requirements.\")##\n(\"entity\"<|>\"Executive Sponsor\"<|>\"role\"<|>\"An Executive Sponsor is a role that provides oversight and support for a project.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"The PMBOK Guide is a reference book for project management published by PMI.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a group of individuals responsible for carrying out the project work.\")##\n(\"entity\"<|>\"Customer\"<|>\"role\"<|>\"A Customer is a role that defines and prioritizes project requirements.\")##\n(\"entity\"<|>\"Sponsoring Organization\"<|>\"organization\"<|>\"A Sponsoring Organization is an entity that provides financial and administrative support for a project.\")##\n(\"entity\"<|>\"Market\"<|>\"concept\"<|>\"A Market refers to the environment in which a product or service is sold.\")##\n(\"entity\"<|>\"Competitors\"<|>\"organization\"<|>\"Competitors are organizations that offer similar products or services.\")##\n(\"entity\"<|>\"Requirements Documentation\"<|>\"document\"<|>\"Requirements Documentation is a document that outlines the project requirements.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "060dc4883ebcb30980a1f35243ea9f08": { + "return": "Here is the output based on the provided text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which discusses quality and cost of quality.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology or methodology for project management that discusses quality and cost of quality.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality refers to the performance levels required to be met, which is a key aspect of project management.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an undertaking with a defined scope, schedule, and budget, which involves quality management.\")##\n(\"entity\"<|>\"Organization\"<|>\"organization\"<|>\"Organization refers to a company or entity that employs project teams and has quality policies and procedures.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to a group of individuals working together to deliver a project, with quality management responsibilities.\")##\n(\"entity\"<|>\"Cost of Quality\"<|>\"concept\"<|>\"Cost of Quality refers to the expenses associated with quality prevention and appraisal.\")##\n(\"entity\"<|>\"Prevention\"<|>\"concept\"<|>\"Prevention refers to the costs incurred to keep defects and failures out of a product.\")##\n(\"entity\"<|>\"Appraisal\"<|>\"concept\"<|>\"Appraisal refers to the costs incurred to determine the degree of conformance to quality requirements.\")##\n(\"entity\"<|>\"Internal Failure\"<|>\"concept\"<|>\"Internal Failure refers to the costs associated with finding and correcting defects before the customer receives the product.\")##\n(\"entity\"<|>\"External Failure\"<|>\"concept\"<|>\"External Failure refers to the costs associated with defects found after the customer has the product and with remediation.\")##\n(\"entity\"<|>\"Cost of Change\"<|>\"concept\"<|>\"Cost of Change refers to the phenomenon where the later a defect is found, the more expensive it is to correct.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a technology or methodology for project management.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Cost of Quality\"<|>\"Project Teams are responsible for managing quality and the associated costs.\")##\n(\"relationship\"<|>\"Organization\"<|>\"Quality\"<|>\"Organizations have quality policies and procedures to", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7b95a13a830356da327dc666512d7816": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, which discusses quality and cost of quality.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology or methodology for project management that discusses quality and cost of quality.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality refers to the performance levels required to be met, which is a key aspect of project management.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an undertaking with a defined scope, schedule, and budget, which involves quality management.\")##\n(\"entity\"<|>\"Organization\"<|>\"organization\"<|>\"Organization refers to a company or entity that employs project teams and has quality policies and procedures.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to a group of individuals working together to deliver a project, with quality management responsibilities.\")##\n(\"entity\"<|>\"Cost of Quality\"<|>\"concept\"<|>\"Cost of Quality refers to the expenses associated with quality prevention and appraisal.\")##\n(\"entity\"<|>\"Prevention\"<|>\"concept\"<|>\"Prevention refers to the costs incurred to keep defects and failures out of a product.\")##\n(\"entity\"<|>\"Appraisal\"<|>\"concept\"<|>\"Appraisal refers to the costs incurred to determine the degree of conformance to quality requirements.\")##\n(\"entity\"<|>\"Internal Failure\"<|>\"concept\"<|>\"Internal Failure refers to the costs associated with finding and correcting defects before the customer receives the product.\")##\n(\"entity\"<|>\"External Failure\"<|>\"concept\"<|>\"External Failure refers to the costs associated with defects found after the customer has the product and with remediation.\")##\n(\"entity\"<|>\"Cost of Change\"<|>\"concept\"<|>\"Cost of Change refers to the phenomenon where the later a defect is found, the more expensive it is to correct.\")##\n(\"entity\"<|>\"Boehm's Cost of Change Curve\"<|>\"concept\"<|>\"Boehm's Cost of Change Curve refers to a graphical representation of the cost of change over time.\")##\n(\"entity\"<|>\"Figure 2-22\"<|>\"technology\"<|>\"Figure 2-22 is a graphical representation of the cost of change curve.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b67d5c1b3487b018c3746b37bf32349e": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that publishes the PMBOK Guide, which is a reference for project management best practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guidebook for project management best practices, used by project teams to manage their projects.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are categories of activities and functions used to manage project performance.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain is a category of activities and functions related to delivering project outcomes.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a category of activities and functions related to planning project work.\")##\n(\"entity\"<|>\"Measurement Performance Domain\"<|>\"concept\"<|>\"Measurement Performance Domain is a category of activities and functions related to measuring and evaluating project performance.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals responsible for executing the project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a key resource for project teams.\"<|>\"publication, project management\"<|>8)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Delivery Performance Domain\"<|>\"Delivery Performance Domain is a category of activities and functions related to delivering project outcomes, which is part of the Project Performance Domains concept.\"<|>\"project management, performance domains\"<|>9)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Planning Performance Domain\"<|>\"Planning Performance Domain is a category of activities and functions related to planning project work, which is part of the Project Performance Domains concept.\"<|>\"project management, performance domains\"<|>9)##\n(\"relationship\"<|>\"Project Performance Domains\"<|>\"Measurement Performance Domain\"<|>\"Measurement Performance Domain is a category of activities and functions related to measuring and evaluating project performance, which is part of the Project Performance Domains concept.\"<|>\"project management, performance domains\"<|>9)##\n(\"relationship\"<|>\"Delivery Performance Domain\"<|>\"Measurement Performance Domain\"<|>\"Delivery Performance Domain and Measurement Performance Domain are related, as the latter evaluates the degree to which the work done in the Delivery Performance Domain is meeting the metrics identified in the", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c1f950ff96edcd5212dd672a8a7a6b7a": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"concept\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that discusses project performance domains.\")##\n(\"entity\"<|>\"Table 2-8\"<|>\"technology\"<|>\"Table 2-8 is a table in the PMBOK Guide that identifies outcomes and ways of checking them in the Delivery Performance Domain.\")##\n(\"entity\"<|>\"Outcome Check\"<|>\"concept\"<|>\"Outcome Check is a process of verifying whether a project has achieved its intended outcomes.\")##\n(\"entity\"<|>\"Business Objectives and Advancement of Strategy\"<|>\"concept\"<|>\"Business Objectives and Advancement of Strategy is a goal of projects, as mentioned in the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Benefits Realization\"<|>\"concept\"<|>\"Project Benefits Realization is the process of realizing the benefits of a project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to the needs or conditions that must be met by a project.\")##\n(\"entity\"<|>\"Project Deliverables\"<|>\"concept\"<|>\"Project Deliverables are the products or services produced by a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that have an interest in a project.\")##\n(\"entity\"<|>\"Business Case and Underlying Data\"<|>\"technology\"<|>\"Business Case and Underlying Data are used to determine whether a project is on track to realize its intended outcomes.\")##\n(\"entity\"<|>\"Benefits Realization Plan\"<|>\"technology\"<|>\"Benefits Realization Plan is a plan for realizing the benefits of a project.\")##\n(\"entity\"<|>\"Schedule\"<|>\"technology\"<|>\"Schedule refers to the plan for completing a project.\")##\n(\"entity\"<|>\"Financial Metrics\"<|>\"technology\"<|>\"Financial Metrics are used to measure the financial performance of a project.\")##\n(\"entity\"<|>\"Customer Acceptance Criteria\"<|>\"concept\"<|>\"Customer Acceptance Criteria are the standards that a project must meet to be accepted by the customer.\")##\n(\"entity\"<|>\"Trade-Offs, Threats, Opportunities, and Options\"<|>\"concept\"<|>\"Trade-Offs, Threats, Opportunities, and Options are factors that must be considered in project management.\")##\n(\"entity\"<|>\"Metrics\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c3892c67241bbca428090a7382a73f52": { + "return": "Here is the output for the provided text:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guide on project management, specifically the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refers to a section in the PMBOK Guide that discusses measuring project performance.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working on a project, with their own performance and metrics.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who are affected by or interested in the project's outcome.\")##\n(\"entity\"<|>\"KPIs\"<|>\"concept\"<|>\"KPIs are quantifiable measures used to evaluate the success of a project.\")##\n(\"entity\"<|>\"Leading Indicators\"<|>\"concept\"<|>\"Leading Indicators predict changes or trends in the project, and are used to identify potential performance variances.\")##\n(\"entity\"<|>\"Lagging Indicators\"<|>\"concept\"<|>\"Lagging Indicators measure project deliverables or events, and provide information after the fact.\")##\n(\"entity\"<|>\"SMART Criteria\"<|>\"concept\"<|>\"SMART Criteria are characteristics of effective metrics, including Specific, Meaningful, Achievable, Relevant, and Timely.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Performance Domains\"<|>\"PMI publishes a guide on project management, specifically the PMBOK Guide, which includes a section on Project Performance Domains.\"<|>\"publication, guidance\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"KPIs\"<|>\"The Project Team uses KPIs to evaluate the success of a project and make timely decisions.\"<|>\"evaluation, decision-making\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Leading Indicators\"<|>\"The Project Team uses Leading Indicators to identify potential performance variances and take corrective action.\"<|>\"problem-solving, performance improvement\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Lagging Indicators\"<|>\"The Project Team uses Lagging Indicators to measure project deliverables and events, and to identify areas for improvement.\"<|>\"measurement, improvement\"<|>7)##\n(\"relationship\"<|>\"Project Team\"<|>\"SMART Criteria\"<|>\"The Project Team", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f03ebceb51bf278d4bb7d55a5e70ca73": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guide on project management, specifically the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refers to a section in the PMBOK Guide that discusses measuring project performance.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working on a project, with their own performance and metrics.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who are affected by or interested in the project's outcome.\")##\n(\"entity\"<|>\"KPIs\"<|>\"concept\"<|>\"KPIs are quantifiable measures used to evaluate the success of a project.\")##\n(\"entity\"<|>\"Leading Indicators\"<|>\"concept\"<|>\"Leading Indicators predict changes or trends in the project, and are used to identify potential performance variances.\")##\n(\"entity\"<|>\"Lagging Indicators\"<|>\"concept\"<|>\"Lagging Indicators measure project deliverables or events, and provide information after the fact.\")##\n(\"entity\"<|>\"SMART Criteria\"<|>\"concept\"<|>\"SMART Criteria are characteristics of effective metrics, including Specific, Meaningful, Achievable, Relevant, and Timely.\")##\n(\"entity\"<|>\"Deliverable Metrics\"<|>\"concept\"<|>\"Deliverable Metrics are measures of the products, services, or results being delivered.\")##\n(\"entity\"<|>\"Baselines\"<|>\"concept\"<|>\"Baselines are the established standards or targets for project performance.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements are the needs or specifications that must be met by the project.\")##\n(\"entity\"<|>\"Project Objectives\"<|>\"concept\"<|>\"Project Objectives are the goals or outcomes that the project aims to achieve.\")##\n(\"entity\"<|>\"Environment\"<|>\"concept\"<|>\"Environment refers to the context in which the project takes place.\")##\n(\"entity\"<|>\"Business Value\"<|>\"concept\"<|>\"Business Value refers to the benefits or outcomes that the project provides to the organization.\")##\n(\"entity\"<|>\"Forecasts\"<|>\"concept\"<|>\"Forecasts are predictions or estimates of future project outcomes.\")##\n(\"entity\"<|>\"Error Metrics\"<|>\"concept\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "87f6b419c6ab5a0d0a83c9fa31ab724b": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guidebook on project performance domains.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains is a concept that refers to the various aspects of project performance, including delivery, baseline performance, and resources.\")##\n(\"entity\"<|>\"Earned Value Management\"<|>\"concept\"<|>\"Earned Value Management is a concept that helps to measure project performance by comparing earned value to planned value and actual cost.\")##\n(\"entity\"<|>\"Burn Rate\"<|>\"concept\"<|>\"Burn Rate is a concept that refers to the actual cost for labor or resources compared to the estimated cost.\")##\n(\"entity\"<|>\"Schedule Performance Index (SPI)\"<|>\"concept\"<|>\"Schedule Performance Index (SPI) is a concept that measures how efficiently the scheduled work is being performed.\")##\n(\"entity\"<|>\"Cost Performance Index (CPI)\"<|>\"concept\"<|>\"Cost Performance Index (CPI) is a concept that measures how efficiently the work is being performed with regard to the budgeted cost of the work.\")##\n(\"entity\"<|>\"Resource Variance\"<|>\"concept\"<|>\"Resource Variance is a concept that evaluates price variance and usage variance in resource measurements.\")##\n(\"entity\"<|>\"Planned Value (PV)\"<|>\"concept\"<|>\"Planned Value (PV) is a concept that represents the value of work that has been planned.\")##\n(\"entity\"<|>\"Actual Costs (AC)\"<|>\"concept\"<|>\"Actual Costs (AC) is a concept that represents the actual cost of work performed.\")##\n(\"entity\"<|>\"Earned Value (EV)\"<|>\"concept\"<|>\"Earned Value (EV) is a concept that represents the value of work that has been completed.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Performance Domains\"<|>\"PMI publishes a guidebook on project performance domains.\"<|>\"publication, organization\"<|>8)##\n(\"relationship\"<|>\"Earned Value Management\"<|>\"Project Performance Domains\"<|>\"Earned Value Management is a concept that is part of the project performance domains.\"<|>\"conceptual framework, management\"<|>9)##\n(\"relationship\"<|>\"Burn Rate\"<|>\"Earned Value Management\"<|>\"Burn Rate is a concept that is related to earned value management, specifically comparing actual cost to estimated cost.\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "5511a62aec98fe249e0a88b5bb47a29f": { + "return": "(\"entity\"<|>\"Section 2.7.2.1\"<|>\"concept\"<|>\"Section 2.7.2.1 is a part of the project performance domains guidebook that deals with deliverable metrics.\")##\n(\"entity\"<|>\"Deliverable Metrics\"<|>\"concept\"<|>\"Deliverable Metrics is a concept that refers to the measures used to evaluate the products, services, or results being delivered.\")##\n(\"entity\"<|>\"Information on Errors or Defects\"<|>\"concept\"<|>\"Information on Errors or Defects is a metric that includes the source of defects, number of defects identified, and number of defects resolved.\")##\n(\"entity\"<|>\"Measures of Performance\"<|>\"concept\"<|>\"Measures of Performance is a metric that characterizes physical or functional attributes relating to the system operation.\")##\n(\"entity\"<|>\"Technical Performance Measures\"<|>\"concept\"<|>\"Technical Performance Measures is a metric that provides insights into progress in achieving the technical solution.\")##\n(\"entity\"<|>\"Work in Progress\"<|>\"concept\"<|>\"Work in Progress is a metric that indicates the number of work items that are being worked on at any given time.\")##\n(\"entity\"<|>\"Lead Time\"<|>\"concept\"<|>\"Lead Time is a metric that indicates the amount of elapsed time from a story or chunk of work entering the backlog to the end of the iteration or the release.\")##\n(\"entity\"<|>\"Cycle Time\"<|>\"concept\"<|>\"Cycle Time is a metric that indicates the amount of time it takes the project team to complete a task.\")##\n(\"entity\"<|>\"Queue Size\"<|>\"concept\"<|>\"Queue Size is a metric that tracks the number of items in a queue.\")##\n(\"entity\"<|>\"Batch Size\"<|>\"concept\"<|>\"Batch Size is a metric that measures the estimated amount of work expected to be completed in an iteration.\")##\n(\"entity\"<|>\"Process Efficiency\"<|>\"concept\"<|>\"Process Efficiency is a metric that calculates the ratio between value-adding time and non-value-adding activities.\")##\n(\"entity\"<|>\"Section 2.7.2.2\"<|>\"concept\"<|>\"Section 2.7.2.2 is a part of the project performance domains guidebook that deals with delivery measurements.\")##\n(\"entity\"<|>\"Delivery Measurements\"<|>\"concept\"<|>\"Delivery Measurements is a concept that refers to the measures used to evaluate work in progress.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "0e197b58392662d2dbd3302886d0edbb": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide and other related materials.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide published by PMI for managing projects.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the full name of the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"Net Promoter Score\"<|>\"technology\"<|>\"Net Promoter Score is a metric used to measure stakeholder satisfaction.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals or groups that can affect or be affected by the project.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"Project team is a group of people working together to achieve a project goal.\")##\n(\"entity\"<|>\"Project\"<|>\"mission\"<|>\"Project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Business case\"<|>\"concept\"<|>\"Business case is a document that outlines the justification for a project.\")##\n(\"entity\"<|>\"Benefits realization plans\"<|>\"concept\"<|>\"Benefits realization plans are plans for achieving the benefits of a project.\")##\n(\"entity\"<|>\"Return on investment (ROI)<|>\"concept\"<|>\"Return on investment is a measure of the financial return on a project.\")##\n(\"entity\"<|>\"Net present value (NPV)<|>\"concept\"<|>\"Net present value is a measure of the present value of inflows and outflows of capital.\")##\n(\"entity\"<|>\"Cost-benefit ratio\"<|>\"concept\"<|>\"Cost-benefit ratio is a measure of the expected present value of an investment.\")##\n(\"entity\"<|>\"Stakeholder satisfaction\"<|>\"concept\"<|>\"Stakeholder satisfaction is a measure of the degree to which stakeholders are satisfied with a project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI published the PMBOK Guide, which is a guide for managing projects.\"<|>\"publication, project management\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Management Institute\"<|>\"PMBOK Guide is published by Project Management Institute, which is the organization behind the guide.\"<|>\"publication, organization\"<|>7)##\n(\"relationship\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c167bcc28b97236970d9634db11241c9": { + "return": "After re-extracting the entities from the text, I found additional entities that were missed in the previous extraction. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide and other related materials.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide published by PMI for managing projects.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the full name of the organization behind the PMBOK Guide.\")##\n(\"entity\"<|>\"Net Promoter Score\"<|>\"technology\"<|>\"Net Promoter Score is a metric used to measure stakeholder satisfaction.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals or groups that can affect or be affected by the project.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"Project team is a group of people working together to achieve a project goal.\")##\n(\"entity\"<|>\"Project\"<|>\"mission\"<|>\"Project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Business case\"<|>\"concept\"<|>\"Business case is a document that outlines the justification for a project.\")##\n(\"entity\"<|>\"Benefits realization plans\"<|>\"concept\"<|>\"Benefits realization plans are plans for achieving the benefits of a project.\")##\n(\"entity\"<|>\"Return on investment (ROI)<|>\"concept\"<|>\"Return on investment is a measure of the financial return on a project.\")##\n(\"entity\"<|>\"Net present value (NPV)<|>\"concept\"<|>\"Net present value is a measure of the present value of inflows and outflows of capital.\")##\n(\"entity\"<|>\"Cost-benefit ratio\"<|>\"concept\"<|>\"Cost-benefit ratio is a measure of the expected present value of an investment.\")##\n(\"entity\"<|>\"Stakeholder satisfaction\"<|>\"concept\"<|>\"Stakeholder satisfaction is a measure of the degree to which stakeholders are satisfied with a project.\")##\n(\"entity\"<|>\"Estimate to complete (ETC)<|>\"concept\"<|>\"Estimate to complete is a measure of the expected cost to finish all remaining project work.\")##\n(\"entity\"<|>\"Estimate at completion (EAC)<|>\"concept\"<|>\"Estimate at completion is a measure of the expected total cost of", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "d3f79996f7a4708463f657be0957f758": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the PMBOK Guide, which provides information on project performance domains.\")##\n(\"entity\"<|>\"Earned Value Management\"<|>\"concept\"<|>\"Earned Value Management is a method used to measure project performance and forecast future costs.\")##\n(\"entity\"<|>\"Budget at Completion\"<|>\"concept\"<|>\"Budget at Completion is a measure of the total budget for a project, used in earned value management.\")##\n(\"entity\"<|>\"Estimate at Completion\"<|>\"concept\"<|>\"Estimate at Completion is a forecast of the total cost of completing a project, used in earned value management.\")##\n(\"entity\"<|>\"The Standard for Earned Value Management\"<|>\"document\"<|>\"The Standard for Earned Value Management is a document that provides information on earned value management measures.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document that provides information on project performance domains and earned value management.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are areas of focus for project performance measurement, including scope, schedule, and cost.\")##\n(\"entity\"<|>\"Earned Value\"<|>\"concept\"<|>\"Earned Value is a measure of the value of work completed, used in earned value management.\")##\n(\"entity\"<|>\"Cost Performance Index\"<|>\"concept\"<|>\"Cost Performance Index is a measure of project efficiency, calculated by dividing earned value by actual cost.\")##\n(\"entity\"<|>\"Variance at Completion\"<|>\"concept\"<|>\"Variance at Completion is a measure of the difference between budget at completion and estimate at completion.\")##\n(\"entity\"<|>\"To-complete Performance Index\"<|>\"concept\"<|>\"To-complete Performance Index is a measure of the cost performance required to meet a specified management goal.\")##\n(\"entity\"<|>\"Regression Analysis\"<|>\"concept\"<|>\"Regression Analysis is a method used to develop a mathematical or statistical relationship between input variables and output results.\")##\n(\"entity\"<|>\"Throughput Analysis\"<|>\"concept\"<|>\"Throughput Analysis is a method used to assess the number of items completed in a fixed time frame.\")##\n(\"entity\"<|>\"Dashboard\"<|>\"concept\"<|>\"Dashboard is a visual display of information that shows project status and metrics.\")##\n(\"entity\"<|>\"Information Radiators\"<|>\"concept\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "40390ec837eeb4ca811cda2aca359f99": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person mentioned in the context of the PMBOK Guide.\")##\n(\"entity\"<|>\"Annie\"<|>\"person\"<|>\"Annie is a person mentioned in the context of a risk log.\")##\n(\"entity\"<|>\"Jim\"<|>\"person\"<|>\"Jim is a person mentioned in the context of a risk log.\")##\n(\"entity\"<|>\"Mark\"<|>\"person\"<|>\"Mark is a person mentioned in the context of a risk log.\")##\n(\"entity\"<|>\"Project Name\"<|>\"concept\"<|>\"Project Name is a concept used to identify a specific project.\")##\n(\"entity\"<|>\"High-Level Description\"<|>\"concept\"<|>\"High-Level Description is a concept used to describe a project's objectives.\")##\n(\"entity\"<|>\"Exec Sponsor\"<|>\"concept\"<|>\"Exec Sponsor is a concept used to identify the executive sponsor of a project.\")##\n(\"entity\"<|>\"Start Date\"<|>\"concept\"<|>\"Start Date is a concept used to identify the start date of a project.\")##\n(\"entity\"<|>\"Status\"<|>\"concept\"<|>\"Status is a concept used to describe the current status of a project.\")##\n(\"entity\"<|>\"PM\"<|>\"person\"<|>\"PM is a person mentioned as the project manager.\")##\n(\"entity\"<|>\"End Date\"<|>\"concept\"<|>\"End Date is a concept used to identify the end date of a project.\")##\n(\"entity\"<|>\"Schedule\"<|>\"concept\"<|>\"Schedule is a concept used to describe the project timeline.\")##\n(\"entity\"<|>\"Activity #1\"<|>\"concept\"<|>\"Activity #1 is a concept used to identify a specific project activity.\")##\n(\"entity\"<|>\"Activity #2\"<|>\"concept\"<|>\"Activity #2 is a concept used to identify a specific project activity.\")##\n(\"entity\"<|>\"Activity #3\"<|>\"concept\"<|>\"Activity #3 is a concept used to identify a specific project activity.\")##\n(\"entity\"<|>\"Concern\"<|>\"concept\"<|>\"Concern is a concept used to identify potential issues or risks in a project.\")##\n(\"entity\"<|>\"On Track\"<|>\"concept\"<|>\"On Track is a concept used to describe a project's status.\")##\n(\"entity\"<|>\"Issue\"<|>\"concept\"<|>\"Issue is a concept used to identify potential problems in", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "4f070c49ac642c823a52b07ed2045632": { + "return": "(\"entity\"<|>\"Annie\"<|>\"person\"<|>\"Annie is a team member.\")##\n(\"entity\"<|>\"Jim\"<|>\"person\"<|>\"Jim is a team member.\")##\n(\"entity\"<|>\"Mark\"<|>\"person\"<|>\"Mark is a team member.\")##\n(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project refers to a collection of tasks and activities.\")##\n(\"entity\"<|>\"Burndown Chart\"<|>\"technology\"<|>\"Burndown Chart is a type of chart used to track progress.\")##\n(\"entity\"<|>\"Burnup Chart\"<|>\"technology\"<|>\"Burnup Chart is a type of chart used to track progress.\")##\n(\"entity\"<|>\"Kanban Board\"<|>\"technology\"<|>\"Kanban Board is a type of board used to track tasks.\")##\n(\"entity\"<|>\"Task Board\"<|>\"technology\"<|>\"Task Board is a type of board used to track tasks.\")##\n(\"entity\"<|>\"Information Radiator\"<|>\"technology\"<|>\"Information Radiator is a type of visual control.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides guidelines for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide for project management.\")##\n(\"relationship\"<|>\"Annie\"<|>\"Project\"<|>\"Annie is a team member of the Project.\")##\n(\"relationship\"<|>\"Jim\"<|>\"Project\"<|>\"Jim is a team member of the Project.\")##\n(\"relationship\"<|>\"Mark\"<|>\"Project\"<|>\"Mark is a team member of the Project.\")##\n(\"relationship\"<|>\"Burndown Chart\"<|>\"Project\"<|>\"Burndown Chart is used to track progress of the Project.\")##\n(\"relationship\"<|>\"Burnup Chart\"<|>\"Project\"<|>\"Burnup Chart is used to track progress of the Project.\")##\n(\"relationship\"<|>\"Kanban Board\"<|>\"Project\"<|>\"Kanban Board is used to track tasks of the Project.\")##\n(\"relationship\"<|>\"Task Board\"<|>\"Project\"<|>\"Task Board is used to track tasks of the Project.\")##\n(\"relationship\"<|>\"Information Radiator\"<|>\"Project\"<|>\"Information Radiator is used as a visual control for the Project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e13b516fecb8cb1729dba80d849dbd52": { + "return": "Here is the updated list of entities:\n\n(\"entity\"<|>\"Annie\"<|>\"person\"<|>\"Annie is a team member.\")##\n(\"entity\"<|>\"Jim\"<|>\"person\"<|>\"Jim is a team member.\")##\n(\"entity\"<|>\"Mark\"<|>\"person\"<|>\"Mark is a team member.\")##\n(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project refers to a collection of tasks and activities.\")##\n(\"entity\"<|>\"Burndown Chart\"<|>\"technology\"<|>\"Burndown Chart is a type of chart used to track progress.\")##\n(\"entity\"<|>\"Burnup Chart\"<|>\"technology\"<|>\"Burnup Chart is a type of chart used to track progress.\")##\n(\"entity\"<|>\"Kanban Board\"<|>\"technology\"<|>\"Kanban Board is a type of board used to track tasks.\")##\n(\"entity\"<|>\"Task Board\"<|>\"technology\"<|>\"Task Board is a type of board used to track tasks.\")##\n(\"entity\"<|>\"Information Radiator\"<|>\"technology\"<|>\"Information Radiator is a type of visual control.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides guidelines for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide for project management.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"event\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"2.7.3.3 Visual Controls\"<|>\"event\"<|>\"2.7.3.3 Visual Controls is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"2.7.4 MEASUREMENT PITFALLS\"<|>\"event\"<|>\"2.7.4 MEASUREMENT PITFALLS is a part of the PMBOK Guide.\")##\n(\"entity\"<|>\"Hawthorne effect\"<|>\"concept\"<|>\"Hawthorne effect is a concept in project management.\")##\n(\"entity\"<|>\"Vanity metric\"<|>\"concept\"<|>\"Vanity metric is a concept in project management.\")##\n(\"entity\"<|>\"Demoralization\"<|>\"concept\"<|>\"Demoralization is a concept in project management.\")##\n(\"entity\"<|>\"Confirmation bias\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1c01e3b6e55bc0c87a305518228f6d7f": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which provides guidance on project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to achieve project objectives and performance targets.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain refers to the management of risks and opportunities in project environments.\")##\n(\"entity\"<|>\"Measurement Performance Domain\"<|>\"concept\"<|>\"Measurement Performance Domain is a project management domain that deals with measuring and displaying data to learn and improve.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a project management domain that involves planning and creating deliverables.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain is a project management domain that involves delivering and comparing planned and actual results.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"Team Performance Domain is a project management domain that involves team performance and stakeholder interactions.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Measurement Performance Domain\"<|>\"PMI provides guidance on the Measurement Performance Domain through the PMBOK Guide.\"<|>\"guidance, project management\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Measurement Performance Domain\"<|>\"The Project Team uses the Measurement Performance Domain to measure and report information to learn and improve.\"<|>\"performance improvement, data analysis\"<|>8)##\n(\"relationship\"<|>\"Stakeholder\"<|>\"Measurement Performance Domain\"<|>\"Stakeholders use the Measurement Performance Domain to make informed decisions based on reliable forecasts and evaluations.\"<|>\"decision-making, stakeholder engagement\"<|>7)##\n(\"relationship\"<|>\"Uncertainty Performance Domain\"<|>\"Measurement Performance Domain\"<|>\"The Uncertainty Performance Domain interacts with the Measurement Performance Domain to handle uncertainty and make informed decisions.\"<|>\"uncertainty management, decision-making\"<|>9)##\n(\"relationship\"<|>\"Planning Performance Domain\"<|>\"Measurement Performance Domain\"<|>\"The Planning Performance Domain interacts with the Measurement Performance Domain to present up-to-date information for updating plans.\"<|>\"planning, data analysis\"<|>8)", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "cf184d29899dcd39705c773cd140cb30": { + "return": "(\"entity\"<|>\"Threshold\"<|>\"concept\"<|>\"Threshold refers to a predetermined level or range of values that indicate when a project metric has exceeded acceptable limits.\")##\n(\"entity\"<|>\"Exception Plan\"<|>\"concept\"<|>\"Exception Plan is a set of actions to be taken when a project metric exceeds a threshold.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a publication by PMI that provides guidance on project management.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are areas of project management that interact with each other to achieve project objectives.\")##\n(\"entity\"<|>\"Performance Metrics\"<|>\"concept\"<|>\"Performance Metrics are measures used to evaluate project progress and success.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that could affect a project's objectives.\")##\n(\"entity\"<|>\"Opportunity\"<|>\"concept\"<|>\"Opportunity refers to a potential benefit or chance for improvement in a project.\")##\n(\"entity\"<|>\"Forecasting\"<|>\"concept\"<|>\"Forecasting is the process of predicting future project outcomes based on historical data and trends.\")##\n(\"entity\"<|>\"Evaluation\"<|>\"concept\"<|>\"Evaluation is the process of assessing project performance and progress towards objectives.\")##\n(\"entity\"<|>\"Audit\"<|>\"concept\"<|>\"Audit refers to the examination and verification of project data and reports.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the degree of unpredictability or risk in a project environment.\")##\n(\"entity\"<|>\"Decision Making\"<|>\"concept\"<|>\"Decision Making refers to the process of choosing a course of action based on available information.\")##\n(\"entity\"<|>\"Project Work\"<|>\"concept\"<|>\"Project Work refers to the tasks and activities undertaken to achieve project objectives.\")##\n(\"entity\"<|>\"Project Status\"<|>\"concept\"<|>\"Project Status refers to the current state of a project, including its progress and performance.\")##\n(\"entity\"<|>\"Project Objectives\"<|>\"concept\"<|>\"Project Objectives refer to the specific goals and outcomes that a project aims to achieve.\")##\n(\"relationship\"<|>\"Threshold\"<|>\"Exception Plan\"<|>\"A Threshold is used to trigger an Exception Plan when a project metric exceeds its limits.\"<|>\"threshold, exception management\"<|>8)##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8fac226198455522d16d6e059475026b": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for navigating project uncertainty.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain refers to the aspects of uncertainty in project management, including risk and ambiguity.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor that exists in environments with varying degrees of uncertainty.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk is an uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives.\")##\n(\"entity\"<|>\"Opportunity\"<|>\"concept\"<|>\"Opportunity refers to potential outcomes that benefit the project objectives.\")##\n(\"entity\"<|>\"Threat\"<|>\"concept\"<|>\"Threat refers to potential outcomes that have a negative effect on project objectives.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a resource for navigating project uncertainty and managing risk.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Uncertainty Performance Domain\"<|>\"PMI publishes the PMBOK Guide, which addresses the various aspects of uncertainty in project management.\"<|>\"publication, project management\"<|>8)##\n(\"relationship\"<|>\"Uncertainty Performance Domain\"<|>\"Project\"<|>\"Uncertainty Performance Domain is related to the concept of project, which exists in environments with varying degrees of uncertainty.\"<|>\"project management, uncertainty\"<|>9)##\n(\"relationship\"<|>\"Uncertainty Performance Domain\"<|>\"Risk\"<|>\"Uncertainty Performance Domain addresses the various aspects of uncertainty, including risk.\"<|>\"uncertainty, risk management\"<|>10)##\n(\"relationship\"<|>\"Risk\"<|>\"Opportunity\"<|>\"Risk and opportunity are related concepts, as they both comprise the set of project risks.\"<|>\"risk management, opportunity\"<|>7)##\n(\"relationship\"<|>\"Risk\"<|>\"Threat\"<|>\"Risk and threat are related concepts, as they both have a potential negative or positive effect on project objectives.\"<|>\"risk management, threat\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Uncertainty Performance Domain\"<|>\"PMBOK Guide addresses the various aspects of uncertainty, including risk and ambiguity.\"<|>\"resource, project management\"<|>9)##\n(\"content_keywords\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "191d4897c08d34c481c3adbd03b6dc33": { + "return": "(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are a framework for understanding and managing project uncertainty.\")##\n(\"entity\"<|>\"Section 2 – Project Performance Domains\"<|>\"concept\"<|>\"Section 2 – Project Performance Domains is a part of the PMBOK Guide that addresses project uncertainty.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"technology\"<|>\"PMI Seventh Edition is a version of the PMBOK Guide that addresses project uncertainty.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the date associated with the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is not found in the text, the correct entity name is not mentioned, instead it is a generic term that could refer to the Washington D.C. location. However, the text does not specify which Washington it is referring to.\")##\n(\"entity\"<|>\"Economic factors\"<|>\"concept\"<|>\"Economic factors such as volatility in prices, availability of resources, ability to borrow funds, and inflation/deflation contribute to project uncertainty.\")##\n(\"entity\"<|>\"Technical considerations\"<|>\"concept\"<|>\"Technical considerations such as new or emerging technology, complexity associated with systems, and interfaces contribute to project uncertainty.\")##\n(\"entity\"<|>\"Legal or legislative constraints or requirements\"<|>\"concept\"<|>\"Legal or legislative constraints or requirements contribute to project uncertainty.\")##\n(\"entity\"<|>\"Physical environment\"<|>\"concept\"<|>\"Physical environment as it pertains to safety, weather, and working conditions contributes to project uncertainty.\")##\n(\"entity\"<|>\"Social and market influences\"<|>\"concept\"<|>\"Social and market influences shaped by opinion and media contribute to project uncertainty.\")##\n(\"entity\"<|>\"Political influences\"<|>\"concept\"<|>\"Political influences, either external or internal to the organization, contribute to project uncertainty.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is a lack of understanding and awareness of issues, events, paths to follow, or solutions to pursue.\")##\n(\"entity\"<|>\"Ambiguity\"<|>\"concept\"<|>\"Ambiguity is a state of being unclear, having difficulty in identifying the cause of events, or having multiple options from which to choose.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a characteristic of a program", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "51cc22af058b1c9c0b6bbd1b3249ac82": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which provides guidance on project management.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Seventh Edition\"<|>\"event\"<|>\"Seventh Edition is a version of the PMBOK Guide.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the publication date of the PMBOK Guide.\")##\n(\"entity\"<|>\"Conceptual Ambiguity\"<|>\"concept\"<|>\"Conceptual Ambiguity refers to a lack of effective understanding due to unclear definitions.\")##\n(\"entity\"<|>\"Situational Ambiguity\"<|>\"concept\"<|>\"Situational Ambiguity refers to multiple possible outcomes, often due to multiple options.\")##\n(\"entity\"<|>\"Progressive Elaboration\"<|>\"process\"<|>\"Progressive Elaboration is a process of increasing the level of detail in a project management plan.\")##\n(\"entity\"<|>\"Experiment\"<|>\"process\"<|>\"Experiment is a process of identifying cause-and-effect relationships or reducing ambiguity.\")##\n(\"entity\"<|>\"Prototype\"<|>\"process\"<|>\"Prototype is a process of distinguishing relationships between variables.\")##\n(\"entity\"<|>\"Complexity\"<|>\"concept\"<|>\"Complexity is a characteristic of a program, project, or environment that is difficult to manage.\")##\n(\"entity\"<|>\"Decoupling\"<|>\"process\"<|>\"Decoupling is a process of disconnecting parts of a system to simplify it.\")##\n(\"entity\"<|>\"Simulation\"<|>\"process\"<|>\"Simulation is a process of using similar scenarios to understand a system.\")##\n(\"entity\"<|>\"Diversity\"<|>\"process\"<|>\"Diversity is a process of viewing a system from diverse perspectives.\")##\n(\"entity\"<|>\"Balance\"<|>\"process\"<|>\"Balance is a process of using a variety of data to provide a broader perspective.\")##\n(\"entity\"<|>\"Iterate\"<|>\"process\"<|>\"Iterate is a process of building incrementally and identifying what works and what doesn't.\")##\n(\"entity\"<|>\"Engage\"<|>\"process\"<|>\"Engage is a process of building in opportunities for stakeholder engagement.\")##\n(\"entity\"<|>\"Fail Safe\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "197c4d92260c3505b76432523a39deef": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a unique undertaking with varying degrees of uncertainty.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team refers to a group of individuals working together on a project.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the state of being unsure or unpredictable.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives.\")##\n(\"entity\"<|>\"Threats\"<|>\"concept\"<|>\"Threats are negative risks that have a potential negative effect on project objectives.\")##\n(\"entity\"<|>\"Opportunities\"<|>\"concept\"<|>\"Opportunities are positive risks that have a potential positive effect on project objectives.\")##\n(\"entity\"<|>\"Project Objectives\"<|>\"concept\"<|>\"Project Objectives refer to the specific goals and outcomes that a project aims to achieve.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project Team Members are individuals who work together to achieve project objectives.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains refer to the areas of project management that focus on achieving project objectives.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document that provides guidance on project management best practices.\")##\n(\"entity\"<|>\"Volatility\"<|>\"concept\"<|>\"Volatility refers to rapid and unpredictable change in an environment.\")##\n(\"entity\"<|>\"Alternatives Analysis\"<|>\"process\"<|>\"Alternatives Analysis is a process of evaluating different options to achieve a project objective.\")##\n(\"entity\"<|>\"Cost Reserve\"<|>\"concept\"<|>\"Cost Reserve refers to a budget set aside to cover unexpected costs.\")##\n(\"entity\"<|>\"Schedule Reserve\"<|>\"concept\"<|>\"Schedule Reserve refers to a buffer set aside to manage delays.\")##", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3da6361c3b3f5c2126926e93004bcb9f": { + "return": "(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"A project is an undertaking with unique characteristics, including varying degrees of uncertainty, and is associated with risk.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to the effect of uncertainty on a project, encompassing threats and opportunities.\")##\n(\"entity\"<|>\"Threat\"<|>\"concept\"<|>\"A threat is an event or condition that has a negative impact on project objectives.\")##\n(\"entity\"<|>\"Opportunity\"<|>\"concept\"<|>\"An opportunity is an event or condition that has a positive impact on project objectives.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The project team is responsible for identifying, managing, and responding to risks.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"The project manager is responsible for implementing risk responses and managing the project within the organization's risk appetite.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"relationship\"<|>\"Project\"<|>\"Risk\"<|>\"A project has risks due to its unique characteristics and uncertainty.\"<|>\"uncertainty, risk management\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Risk\"<|>\"The project team identifies and manages risks to achieve project objectives.\"<|>\"risk management, team effort\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Risk\"<|>\"The project manager implements risk responses and manages the project within the organization's risk appetite.\"<|>\"risk management, project management\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Manager\"<|>\"The project team works under the guidance of the project manager to manage risks and achieve project objectives.\"<|>\"collaboration, leadership\"<|>7)##\n(\"relationship\"<|>\"Project Manager\"<|>\"PMI\"<|>\"The project manager may refer to the PMBOK Guide published by PMI for guidance on project management and risk management.\"<|>\"guidance, professional development\"<|>6)##\n(\"content_keywords\"<|>\"risk management, project management, uncertainty, collaboration\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "557dd9ef63f2e7cce1e6f353c3cde8ac": { + "return": "(\"entity\"<|>\"Project Objectives\"<|>\"concept\"<|>\"Project objectives are the goals and outcomes that a project aims to achieve.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the lack of predictability in a project, which gives rise to risks.\")##\n(\"entity\"<|>\"Risk Appetite\"<|>\"concept\"<|>\"Risk appetite refers to the level of risk that an organization is willing to accept.\")##\n(\"entity\"<|>\"Risk Thresholds\"<|>\"concept\"<|>\"Risk thresholds are the limits of acceptable risk exposure, reflecting an organization's risk appetite.\")##\n(\"entity\"<|>\"Risk Impact Levels\"<|>\"concept\"<|>\"Risk impact levels refer to the potential consequences of a risk on a project.\")##\n(\"entity\"<|>\"Threats\"<|>\"concept\"<|>\"Threats are events or conditions that have a negative impact on project objectives.\")##\n(\"entity\"<|>\"Opportunities\"<|>\"concept\"<|>\"Opportunities are events or conditions that have a positive impact on project objectives.\")##\n(\"entity\"<|>\"Risk Responses\"<|>\"concept\"<|>\"Risk responses are the actions taken to mitigate or exploit risks.\")##\n(\"entity\"<|>\"Avoid\"<|>\"concept\"<|>\"Avoidance is a risk response strategy that aims to eliminate or reduce the likelihood of a threat.\")##\n(\"entity\"<|>\"Escalate\"<|>\"concept\"<|>\"Escalation is a risk response strategy that involves transferring ownership of a risk to another party.\")##\n(\"entity\"<|>\"Transfer\"<|>\"concept\"<|>\"Transfer is a risk response strategy that involves shifting ownership of a risk to another party.\")##\n(\"entity\"<|>\"Mitigate\"<|>\"concept\"<|>\"Mitigation is a risk response strategy that aims to reduce the impact of a threat.\")##\n(\"entity\"<|>\"Accept\"<|>\"concept\"<|>\"Acceptance is a risk response strategy that involves acknowledging a risk without taking proactive action.\")##\n(\"entity\"<|>\"Exploit\"<|>\"concept\"<|>\"Exploitation is a risk response strategy that aims to maximize the benefits of an opportunity.\")##\n(\"entity\"<|>\"Share\"<|>\"concept\"<|>\"Sharing is a risk response strategy that involves allocating ownership of an opportunity to another party.\")##\n(\"entity\"<|>\"Enhance\"<|>\"concept\"<|>\"Enhancement is a risk response strategy that aims to increase the likelihood or impact of an opportunity.\")##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7b423fac14c8911fd0e51663d3972187": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the publisher of the PMBOK Guide and has a significant influence on project management practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference guide for project management best practices.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain is a framework for managing uncertainty in projects.\")##\n(\"entity\"<|>\"Project team members\"<|>\"organization\"<|>\"Project team members are the main sources of information regarding uncertainty in projects.\")##\n(\"entity\"<|>\"Project manager\"<|>\"person\"<|>\"Project manager is responsible for managing risks and uncertainty in projects.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that could impact a project.\")##\n(\"entity\"<|>\"Schedule\"<|>\"concept\"<|>\"Schedule refers to the plan for completing tasks and activities in a project.\")##\n(\"entity\"<|>\"Budget\"<|>\"concept\"<|>\"Budget refers to the financial plan for a project.\")##\n(\"entity\"<|>\"Reserve\"<|>\"concept\"<|>\"Reserve refers to a budget or time set aside to account for risks or uncertainty.\")##\n(\"entity\"<|>\"Deliverable\"<|>\"concept\"<|>\"Deliverable refers to a tangible or intangible output of a project.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the outcome of a project.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a reference guide for project management best practices.\"<|>\"publication, project management\"<|>9)##\n(\"relationship\"<|>\"Project manager\"<|>\"Risk\"<|>\"Project manager is responsible for managing risks in projects.\"<|>\"risk management, project management\"<|>8)##\n(\"relationship\"<|>\"Project manager\"<|>\"Schedule\"<|>\"Project manager is responsible for creating and managing project schedules.\"<|>\"scheduling, project management\"<|>8)##\n(\"relationship\"<|>\"Project manager\"<|>\"Budget\"<|>\"Project manager is responsible for creating and managing project budgets.\"<|>\"budgeting, project management\"<|>8)##\n(\"relationship\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b9ebe0e7eb97785c7851db43081210da": { + "return": "After re-extracting the entities and relationships from the text, I found additional entities and relationships that were missed in the previous extraction. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the publisher of the PMBOK Guide and has a significant influence on project management practices.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference guide for project management best practices.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain is a framework for managing uncertainty in projects.\")##\n(\"entity\"<|>\"Project team members\"<|>\"organization\"<|>\"Project team members are the main sources of information regarding uncertainty in projects.\")##\n(\"entity\"<|>\"Project manager\"<|>\"person\"<|>\"Project manager is responsible for managing risks and uncertainty in projects.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that could impact a project.\")##\n(\"entity\"<|>\"Schedule\"<|>\"concept\"<|>\"Schedule refers to the plan for completing tasks and activities in a project.\")##\n(\"entity\"<|>\"Budget\"<|>\"concept\"<|>\"Budget refers to the financial plan for a project.\")##\n(\"entity\"<|>\"Reserve\"<|>\"concept\"<|>\"Reserve refers to a budget or time set aside to account for risks or uncertainty.\")##\n(\"entity\"<|>\"Deliverable\"<|>\"concept\"<|>\"Deliverable refers to a tangible or intangible output of a project.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to the outcome of a project.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that have an interest in the project.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the definition of what is included in the project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to the needs and expectations of the project.\")##\n(\"entity\"<|>\"Development approach\"<|>\"concept\"<|>\"Development approach refers to the method used to create the project.\")##\n(\"entity\"<|>\"Project life cycle\"<|>\"concept\"<|>\"Project life cycle refers to the stages", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "aba6ac924076f9e86b2715c9283df437": { + "return": "(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"Project Management Institute (PMI) is the governing body behind the PMBOK Guide, which provides guidelines for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a framework for project management, providing descriptions of processes, phases, methods, artifacts, and templates.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a guiding principle for project management, outlining key principles and practices.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adjusting project factors to suit the organization, operating environment, and project needs.\")##\n(\"entity\"<|>\"Organizational culture\"<|>\"concept\"<|>\"Organizational culture refers to the set of values, norms, and practices that shape an organization's behavior and decision-making.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve a specific project goal.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"A customer is an individual or organization that receives a product or service from a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals or groups that have a vested interest in a project's outcome.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to the possibility of an unfavorable event occurring that could impact a project's objectives.\")##\n(\"relationship\"<|>\"Project Management Institute (PMI)\"<|>\"PMBOK Guide\"<|>\"PMI is the governing body behind the PMBOK Guide, which is a framework for project management.\"<|>\"governance, framework\"<|>9)##\n(\"relationship\"<|>\"Project team\"<|>\"Customer\"<|>\"The project team works to satisfy the customer's needs and expectations.\"<|>\"customer satisfaction, service delivery\"<|>8)##\n(\"relationship\"<|>\"Project team\"<|>\"Stakeholders\"<|>\"The project team must consider the needs and expectations of various stakeholders.\"<|>\"stakeholder management, communication\"<|>7)##\n(\"relationship\"<|>\"Tailoring\"<|>\"Organizational culture\"<|>\"Tailoring is influenced by an organization's culture, which shapes its values and practices.\"<|>\"culture, adaptability\"<|>6", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "15b6de26199e3981511f6af0d3908782": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"Project Management Institute (PMI) is the governing body behind the PMBOK Guide, which provides guidelines for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a framework for project management, providing descriptions of processes, phases, methods, artifacts, and templates.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a guiding principle for project management, outlining key principles and practices.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adjusting project factors to suit the organization, operating environment, and project needs.\")##\n(\"entity\"<|>\"Organizational culture\"<|>\"concept\"<|>\"Organizational culture refers to the set of values, norms, and practices that shape an organization's behavior and decision-making.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve a specific project goal.\")##\n(\"entity\"<|>\"Customer\"<|>\"person\"<|>\"A customer is an individual or organization that receives a product or service from a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"person\"<|>\"Stakeholders are individuals or groups that have a vested interest in a project's outcome.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to the possibility of an unfavorable event occurring that could impact a project's objectives.\")##\n(\"entity\"<|>\"Contract\"<|>\"concept\"<|>\"A contract specifies the terms and conditions of a project, including the scope, timeline, and budget.\")##\n(\"entity\"<|>\"Life cycle\"<|>\"concept\"<|>\"A life cycle refers to the stages a project goes through from initiation to completion.\")##\n(\"entity\"<|>\"Development approach\"<|>\"concept\"<|>\"A development approach refers to the methods and techniques used to create a project's deliverables.\")##\n(\"entity\"<|>\"Delivery approach\"<|>\"concept\"<|>\"A delivery approach refers to the methods and techniques used to deliver a project's outcomes.\")##\n(\"entity\"<|>\"Project size\"<|>\"concept\"<|>\"Project size refers to the scope, complexity, and scale of a project.\")##\n(\"entity\"<|>\"Project complexity\"<|>\"concept\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "be87ec54d34f5a4ae87a5aaefd40dcca": { + "return": "Here is the output for the given text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, a guide for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a guide for project management that provides information on tailoring the project approach.\")##\n(\"entity\"<|>\"project team\"<|>\"organization\"<|>\"project team refers to the group of people working on a project, which may include contributors from contracted entities, channel partners, and other external entities.\")##\n(\"entity\"<|>\"organization\"<|>\"organization\"<|>\"organization refers to the entity that sponsors a project and may have a project methodology, general management approach, or general development approach.\")##\n(\"entity\"<|>\"tailoring\"<|>\"concept\"<|>\"tailoring refers to the process of adjusting the project approach to suit the project environment and culture.\")##\n(\"entity\"<|>\"project\"<|>\"concept\"<|>\"project refers to the temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"development approach\"<|>\"concept\"<|>\"development approach refers to the way in which a project is carried out, which may be predictive, hybrid, or adaptive.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which provides information on tailoring the project approach.\"<|>\"publication, guide\"<|>9)##\n(\"relationship\"<|>\"project team\"<|>\"tailoring\"<|>\"the project team performs tailoring to adjust the project approach to suit the project environment and culture.\"<|>\"project management, adaptation\"<|>8)##\n(\"relationship\"<|>\"organization\"<|>\"tailoring\"<|>\"the organization may have a project methodology, general management approach, or general development approach that influences the project team's tailoring decisions.\"<|>\"influence, governance\"<|>7)##\n(\"relationship\"<|>\"project\"<|>\"tailoring\"<|>\"tailoring is performed to adjust the project approach to suit the project environment and culture.\"<|>\"project management, adaptation\"<|>8)##\n(\"relationship\"<|>\"development approach\"<|>\"tailoring\"<|>\"tailoring involves selecting and adjusting the development approach to suit the project environment and culture.\"<|>\"project management, adaptation\"<|>9)##\n(\"content_keywords\"<|>\"project management,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6a5016f2648ec27c1f59ad90247bd371": { + "return": "After re-extracting the entities and relationships, I have added the missed ones to the output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, a guide for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a guide for project management that provides information on tailoring the project approach.\")##\n(\"entity\"<|>\"project team\"<|>\"organization\"<|>\"project team refers to the group of people working on a project, which may include contributors from contracted entities, channel partners, and other external entities.\")##\n(\"entity\"<|>\"organization\"<|>\"organization\"<|>\"organization refers to the entity that sponsors a project and may have a project methodology, general management approach, or general development approach.\")##\n(\"entity\"<|>\"tailoring\"<|>\"concept\"<|>\"tailoring refers to the process of adjusting the project approach to suit the project environment and culture.\")##\n(\"entity\"<|>\"project\"<|>\"concept\"<|>\"project refers to the temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"development approach\"<|>\"concept\"<|>\"development approach refers to the way in which a project is carried out, which may be predictive, hybrid, or adaptive.\")##\n(\"entity\"<|>\"predictive approach\"<|>\"concept\"<|>\"predictive approach refers to a project management approach that uses historical data and statistical models to predict outcomes.\")##\n(\"entity\"<|>\"hybrid approach\"<|>\"concept\"<|>\"hybrid approach refers to a project management approach that combines elements of predictive and adaptive approaches.\")##\n(\"entity\"<|>\"adaptive approach\"<|>\"concept\"<|>\"adaptive approach refers to a project management approach that is flexible and responsive to changing project requirements.\")##\n(\"entity\"<|>\"suitability filter\"<|>\"concept\"<|>\"suitability filter is a tool used to determine the most suitable project management approach based on project characteristics.\")##\n(\"entity\"<|>\"culture\"<|>\"concept\"<|>\"culture refers to the values, norms, and practices that influence the way a project is carried out.\")##\n(\"entity\"<|>\"project environment\"<|>\"concept\"<|>\"project environment refers to the external factors that affect the project, such as organizational policies and procedures.\")##\n(\"entity\"<|>\"project methodology\"<|>\"concept\"<|>\"project methodology refers to the set of processes and procedures used to", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "51771b09a104f4760d9a03d855af0140": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is a professional organization that provides guidance on project management methodologies and tailoring.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication by PMI that provides a framework for project management and tailoring.\")##\n(\"entity\"<|>\"Project Management Office (PMO)\"<|>\"organization\"<|>\"PMO is an office within an organization that oversees and coordinates project management activities.\")##\n(\"entity\"<|>\"Value Delivery Office (VDO)\"<|>\"organization\"<|>\"VDO is an office within an organization that focuses on coaching project teams and building adaptive skills.\")##\n(\"entity\"<|>\"Product/Deliverable\"<|>\"concept\"<|>\"Product/Deliverable refers to the output or outcome of a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team refers to the group of individuals working on a project.\")##\n(\"entity\"<|>\"Culture\"<|>\"concept\"<|>\"Culture refers to the values, beliefs, and practices within an organization.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which provides a framework for project management and tailoring.\"<|>\"publication, framework\"<|>9)##\n(\"relationship\"<|>\"PMO\"<|>\"Project Team\"<|>\"PMO oversees and coordinates project management activities, which involves working with the project team.\"<|>\"oversight, coordination\"<|>8)##\n(\"relationship\"<|>\"VDO\"<|>\"Project Team\"<|>\"VDO coaches project teams and builds adaptive skills, which is a collaborative effort with the project team.\"<|>\"coaching, collaboration\"<|>8)##\n(\"relationship\"<|>\"Product/Deliverable\"<|>\"Project Team\"<|>\"The project team works on the product or deliverable, which is the output of the project.\"<|>\"output, collaboration\"<|>9)##\n(\"relationship\"<|>\"Culture\"<|>\"Project Team\"<|>\"Culture influences the project team's behavior and practices, which can impact the project's success.\"<|>\"influence, impact\"<|>7)##\n(\"content_keywords\"<|>\"project management, tailoring, culture, product deliverable\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "0455bebfeb7360f053629e7ecca4d94d": { + "return": "## (\"entity\"<|>\"approval\"<|>\"concept\"<|>\"Approval refers to the process of giving permission or consent for a project or activity.\")##\n(\"entity\"<|>\"oversight\"<|>\"concept\"<|>\"Oversight refers to the act of supervising or monitoring a project or activity.\")##\n(\"entity\"<|>\"regulations\"<|>\"concept\"<|>\"Regulations refer to laws, rules, or guidelines that govern a project or activity.\")##\n(\"entity\"<|>\"protocol\"<|>\"concept\"<|>\"Protocol refers to a set of rules or procedures for conducting a project or activity.\")##\n(\"entity\"<|>\"process governance\"<|>\"concept\"<|>\"Process governance refers to the management and oversight of project processes.\")##\n(\"entity\"<|>\"tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting a project management methodology to suit the needs of an organization or project.\")##\n(\"entity\"<|>\"project size\"<|>\"concept\"<|>\"Project size refers to the scope and scale of a project.\")##\n(\"entity\"<|>\"project criticality\"<|>\"concept\"<|>\"Project criticality refers to the level of importance or urgency of a project.\")##\n(\"entity\"<|>\"organizational maturity\"<|>\"concept\"<|>\"Organizational maturity refers to the level of development or sophistication of an organization.\")##\n(\"entity\"<|>\"industry market\"<|>\"concept\"<|>\"Industry market refers to the sector or market in which a project operates.\")##\n(\"entity\"<|>\"technology\"<|>\"concept\"<|>\"Technology refers to the tools, systems, or processes used in a project.\")##\n(\"entity\"<|>\"time frame\"<|>\"concept\"<|>\"Time frame refers to the duration or schedule of a project.\")##\n(\"entity\"<|>\"requirements\"<|>\"concept\"<|>\"Requirements refer to the needs or specifications of a project.\")##\n(\"entity\"<|>\"security\"<|>\"concept\"<|>\"Security refers to the measures taken to protect a project or its outputs.\")##\n(\"entity\"<|>\"incremental delivery\"<|>\"concept\"<|>\"Incremental delivery refers to the process of delivering a project in stages or increments.\")##\n(\"entity\"<|>\"stakeholder\"<|>\"organization\"<|>\"Stakeholder refers to an individual or group with an interest in a project.\")##\n(\"entity\"<|>\"customer\"<|>\"organization\"<|>\"Customer refers to an individual or organization that receives the output of a project.\")##\n(\"entity\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fc3f8165da867cfb6b134b21e61bff94": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the publisher of the PMBOK Guide, which provides guidance on project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guidebook for project management, providing principles and practices for tailoring the approach to fit the project context.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to deliver a project, with diverse viewpoints and cultural perspectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that may be affected by the project, including internal or external parties.\")##\n(\"entity\"<|>\"Project\"<|>\"mission\"<|>\"Project is a unique undertaking that requires tailoring the approach to fit the project context and environment.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which is a guidebook for project management.\"<|>\"publication, guidance\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Stakeholders\"<|>\"The Project Team interacts with Stakeholders, including internal and external parties, to manage their expectations and needs.\"<|>\"communication, stakeholder management\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project\"<|>\"The Project Team is responsible for delivering the Project, which requires tailoring the approach to fit the project context and environment.\"<|>\"delivery, tailoring\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project\"<|>\"The PMBOK Guide provides guidance on tailoring the approach to fit the project context and environment, supporting the delivery of the Project.\"<|>\"guidance, project delivery\"<|>8)##\n(\"content_keywords\"<|>\"project management, tailoring, stakeholders, project team\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c8dd2d7e5f3140fa34435c33f3625f48": { + "return": "(\"entity\"<|>\"Section 3 – Tailoring\"<|>\"event\"<|>\"Section 3 – Tailoring is a part of the PMBOK Guide that discusses tailoring the approach to fit the project context.\")##\n(\"entity\"<|>\"July 2021\"<|>\"event\"<|>\"July 2021 is the publication date of the PMBOK Guide.\")##\n(\"entity\"<|>\"Figure 3-5\"<|>\"technology\"<|>\"Figure 3-5 is a visual representation of tailoring the approach for the project.\")##\n(\"entity\"<|>\"Figure 3-6\"<|>\"technology\"<|>\"Figure 3-6 is a visual representation of implementing ongoing improvement.\")##\n(\"entity\"<|>\"Figure 3-7\"<|>\"technology\"<|>\"Figure 3-7 is a visual representation of the tailoring process.\")##\n(\"entity\"<|>\"Figure 3-8\"<|>\"technology\"<|>\"Figure 3-8 is a visual representation of tailoring to fit the project context.\")##\n(\"entity\"<|>\"Tailoring the Performance Domains\"<|>\"event\"<|>\"Tailoring the Performance Domains is a part of the project management process.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups that may be affected by the project, including internal or external parties.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to deliver a project, with diverse viewpoints and cultural perspectives.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"event\"<|>\"PMI Seventh Edition is the edition of the PMBOK Guide being referenced.\")##\n(\"entity\"<|>\"delivery approach\"<|>\"concept\"<|>\"Delivery approach refers to the method or strategy used to deliver a project.\")##\n(\"entity\"<|>\"engagement\"<|>\"concept\"<|>\"Engagement refers to the level of involvement or participation of stakeholders in the project.\")##\n(\"entity\"<|>\"process\"<|>\"concept\"<|>\"Process refers to the series of activities or steps involved in delivering a project.\")##\n(\"entity\"<|>\"tools\"<|>\"technology\"<|>\"Tools refer to the equipment, software, or resources used to support project management.\")##\n(\"entity\"<|>\"communication technology\"<|>\"technology\"<|>\"Communication technology refers to the methods or systems used to share information with stakeholders.\")##\n(\"entity\"<|>\"language\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e45d67e686c17d415366cc4abe3572f5": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide, providing guidance on project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together on a project, with specific roles and responsibilities.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting project management approaches to suit the specific needs of a project.\")##\n(\"entity\"<|>\"Risk Management\"<|>\"concept\"<|>\"Risk Management involves identifying, assessing, and mitigating potential risks that could impact a project.\")##\n(\"entity\"<|>\"Value Stream Mapping\"<|>\"technology\"<|>\"Value Stream Mapping is a technique used to visualize the work and identify areas for improvement.\")##\n(\"entity\"<|>\"Kanban Boards\"<|>\"technology\"<|>\"Kanban Boards are used to visualize work, identify issues, and propose solutions.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Team\"<|>\"PMI provides guidance on project management to the Project Team, who are working on a project.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Tailoring\"<|>\"The Project Team adapts project management approaches to suit the specific needs of the project through tailoring.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Risk Management\"<|>\"The Project Team identifies and mitigates potential risks that could impact the project through risk management.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Value Stream Mapping\"<|>\"The Project Team uses Value Stream Mapping to visualize the work and identify areas for improvement.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Kanban Boards\"<|>\"The Project Team uses Kanban Boards to visualize work, identify issues, and propose solutions.\")##\n(\"content_keywords\"<|>\"project management, tailoring, risk management, value stream mapping, kanban boards\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8fbb27ac5b56eacbb6a7fc60b89da0cd": { + "return": "(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication by PMI that provides guidance on project management best practices.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in the project and its outcomes.\")##\n(\"entity\"<|>\"Approval\"<|>\"concept\"<|>\"Approval refers to the process of obtaining consent or validation from relevant parties.\")##\n(\"entity\"<|>\"Decision\"<|>\"concept\"<|>\"Decision refers to the process of making choices or selections.\")##\n(\"entity\"<|>\"Feedback\"<|>\"concept\"<|>\"Feedback refers to the process of sharing information or opinions about the project.\")##\n(\"entity\"<|>\"Retrospectives\"<|>\"concept\"<|>\"Retrospectives are meetings or sessions where the project team reflects on their process and identifies areas for improvement.\")##\n(\"entity\"<|>\"Lessons Learned\"<|>\"concept\"<|>\"Lessons Learned refers to the knowledge and insights gained from a project that can be applied to future projects.\")##\n(\"entity\"<|>\"Table 3-1\"<|>\"technology\"<|>\"Table 3-1 is a table in the PMBOK Guide that lists common situations and suggested tailoring solutions.\")##\n(\"entity\"<|>\"Situations\"<|>\"concept\"<|>\"Situations refer to specific circumstances or scenarios that require tailored project management approaches.\")##\n(\"entity\"<|>\"Tailoring Solutions\"<|>\"concept\"<|>\"Tailoring Solutions refer to the specific actions or adjustments made to project management approaches to suit the needs of a project.\")##\n(\"entity\"<|>\"Approvals\"<|>\"concept\"<|>\"Approvals refer to the process of obtaining consent or validation from relevant parties.\")##\n(\"entity\"<|>\"Decisions\"<|>\"concept\"<|>\"Decisions refer to the process of making choices or selections.\")##\n(\"entity\"<|>\"Feedback Loops\"<|>\"concept\"<|>\"Feedback Loops refer to the process of sharing information or opinions about the project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which provides guidance on project management best practices.\")##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Management\"<|>\"The", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "79c92061efde20d0ffd91b8bfaeee2cb": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides standards and guidelines for project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"The Project Team is a group of individuals working together to deliver project outcomes.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups with a vested interest in the project's outcome.\")##\n(\"entity\"<|>\"Project Work\"<|>\"event\"<|>\"Project Work refers to the tasks and activities performed by the project team to deliver the project outcomes.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are the areas of focus for project teams, including deliverables, approach, and life cycle.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery refers to the creation of value for stakeholders through the project.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Team\"<|>\"PMI provides guidance and standards for project teams to follow in delivering project outcomes.\"<|>\"guidance, project management standards\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Stakeholders\"<|>\"The project team works with stakeholders to understand their needs and deliver value to them.\"<|>\"stakeholder engagement, value delivery\"<|>8)##\n(\"relationship\"<|>\"Project Work\"<|>\"Project Performance Domains\"<|>\"Project Work is performed within the context of the Project Performance Domains to deliver project outcomes.\"<|>\"project management, performance metrics\"<|>7)##\n(\"relationship\"<|>\"Value Delivery\"<|>\"Project Team\"<|>\"The project team is responsible for creating value for stakeholders through their work.\"<|>\"value creation, project team\"<|>6)##\n(\"relationship\"<|>\"Value Delivery\"<|>\"Stakeholders\"<|>\"Value Delivery is focused on meeting the needs of stakeholders, who are interested in the project's outcome.\"<|>\"stakeholder needs, value delivery\"<|>5)##\n(\"content_keywords\"<|>\"project management, stakeholder engagement, value delivery, project performance\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ee54e39b0caa5595aefa2cef30c7ee90": { + "return": "(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is mentioned as someone who shows authoritarian certainty, but also has a moment of reverence towards a device.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"Project Work\"<|>\"event\"<|>\"Project Work refers to the tasks and activities performed by the project team to deliver the project outcomes.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are the areas of focus for project teams, including deliverables, approach, and life cycle.\")##\n(\"entity\"<|>\"Value Delivery\"<|>\"concept\"<|>\"Value Delivery refers", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3a8eb2ad79656e895d133a04d8e7c4f9": { + "return": "Here is the output for the given text and entity types:\n\n(\"entity\"<|>\"Situational Leadership Models\"<|>\"organization\"<|>\"Situational Leadership Models is a subset of leadership models that describe ways to tailor one’s leadership style to meet the needs of the individual and the project team.\")##\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is an edition of the Project Management Institute's guide that discusses various leadership models.\")##\n(\"entity\"<|>\"Ken Blanchard’s Situational Leadership II\"<|>\"organization\"<|>\"Ken Blanchard’s Situational Leadership II is a model that measures project team member development using competence and commitment as the two main variables.\")##\n(\"entity\"<|>\"Karen Whittleworth and Andrew Gilbert\"<|>\"person\"<|>\"Karen Whittleworth and Andrew Gilbert are the developers of the OSCAR coaching and mentoring model.\")##\n(\"entity\"<|>\"OSCAR Model\"<|>\"organization\"<|>\"OSCAR Model is a coaching and mentoring model that helps individuals adapt their coaching or leadership styles to support individuals who have an action plan for personal development.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome refers to the long-term goals of an individual and the desired result from each conversation session.\")##\n(\"entity\"<|>\"Situation\"<|>\"concept\"<|>\"Situation enables conversation about the current skills, abilities, and knowledge level of the project team member.\")##\n(\"entity\"<|>\"Choices/consequences\"<|>\"concept\"<|>\"Choices/consequences identify all the potential avenues for attaining the desired outcome and the consequences of each choice.\")##\n(\"entity\"<|>\"Actions\"<|>\"concept\"<|>\"Actions commit to specific improvements by focusing on immediate and attainable targets.\")##\n(\"entity\"<|>\"Review\"<|>\"concept\"<|>\"Review holds regular meetings to offer support and ensure that individuals remain motivated and on track.\")##\n(\"entity\"<|>\"Cross-Cultural Communication\"<|>\"organization\"<|>\"Cross-Cultural Communication is a model developed by Browaeys and Price that incorporates the idea that the message itself and how it is transmitted is influenced by the sender’s current knowledge, experience, language, thinking, and communication styles.\")##\n(\"entity\"<|>\"Alistair Cockburn\"<|>\"person\"<|>\"Alistair Cockburn developed a model that describes the communication channels along the axes of effectiveness and richness.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "244cad88bc5e9803b7fec9df9dbce621": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"Situational Leadership Models\"<|>\"organization\"<|>\"Situational Leadership Models is a subset of leadership models that describe ways to tailor one’s leadership style to meet the needs of the individual and the project team.\")##\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is an edition of the Project Management Institute's guide that discusses various leadership models.\")##\n(\"entity\"<|>\"Ken Blanchard’s Situational Leadership II\"<|>\"organization\"<|>\"Ken Blanchard’s Situational Leadership II is a model that measures project team member development using competence and commitment as the two main variables.\")##\n(\"entity\"<|>\"Karen Whittleworth and Andrew Gilbert\"<|>\"person\"<|>\"Karen Whittleworth and Andrew Gilbert are the developers of the OSCAR coaching and mentoring model.\")##\n(\"entity\"<|>\"OSCAR Model\"<|>\"organization\"<|>\"OSCAR Model is a coaching and mentoring model that helps individuals adapt their coaching or leadership styles to support individuals who have an action plan for personal development.\")##\n(\"entity\"<|>\"Outcome\"<|>\"concept\"<|>\"Outcome refers to the long-term goals of an individual and the desired result from each conversation session.\")##\n(\"entity\"<|>\"Situation\"<|>\"concept\"<|>\"Situation enables conversation about the current skills, abilities, and knowledge level of the project team member.\")##\n(\"entity\"<|>\"Choices/consequences\"<|>\"concept\"<|>\"Choices/consequences identify all the potential avenues for attaining the desired outcome and the consequences of each choice.\")##\n(\"entity\"<|>\"Actions\"<|>\"concept\"<|>\"Actions commit to specific improvements by focusing on immediate and attainable targets.\")##\n(\"entity\"<|>\"Review\"<|>\"concept\"<|>\"Review holds regular meetings to offer support and ensure that individuals remain motivated and on track.\")##\n(\"entity\"<|>\"Cross-Cultural Communication\"<|>\"organization\"<|>\"Cross-Cultural Communication is a model developed by Browaeys and Price that incorporates the idea that the message itself and how it is transmitted is influenced by the sender’s current knowledge, experience, language, thinking, and communication styles.\")##\n(\"entity\"<|>\"Alistair Cockburn\"<|>\"person\"<|>\"Alistair Cockburn developed a model that describes the communication channels along the axes of effectiveness and richness.\")##\n(\"entity\"<|>\"Richard", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fa9c5f6b6a3a187ac9f7dbca2dc3ac0a": { + "return": "(\"entity\"<|>\"Frederick Herzberg\"<|>\"person\"<|>\"Frederick Herzberg is a researcher who conducted a study on motivational factors in working life.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guide to project management.\")##\n(\"entity\"<|>\"Daniel Pink\"<|>\"person\"<|>\"Daniel Pink is a researcher who published books about intrinsic factors that motivate people.\")##\n(\"entity\"<|>\"David McClellan\"<|>\"person\"<|>\"David McClellan is a researcher who developed a model stating that people are driven by needs of achievement, power, and affiliation.\")##\n(\"entity\"<|>\"Douglas McGregor\"<|>\"person\"<|>\"Douglas McGregor is a researcher who devised the Theory X and Theory Y models of employee motivation.\")##\n(\"entity\"<|>\"Abraham Maslow\"<|>\"person\"<|>\"Abraham Maslow is a researcher who saw Theory Z as a transcendent dimension to work where individuals are motivated by self-realization, values, and a higher calling.\")##\n(\"entity\"<|>\"William Ouchi\"<|>\"person\"<|>\"William Ouchi is a researcher who focused on motivating employees by creating a job for life where the focus is on the well-being of employees and their families.\")##\n(\"entity\"<|>\"Jeff Hiatt\"<|>\"person\"<|>\"Jeff Hiatt is a researcher who developed the ADKAR Model for change management.\")##\n(\"entity\"<|>\"Herzberg's Model\"<|>\"concept\"<|>\"Herzberg's Model describes motivational factors that include matters related to the content of the work, such as achievement, growth, and advancement.\")##\n(\"entity\"<|>\"Intrinsic Motivation\"<|>\"concept\"<|>\"Intrinsic Motivation refers to factors that motivate people from within, such as autonomy, mastery, and purpose.\")##\n(\"entity\"<|>\"Extrinsic Motivation\"<|>\"concept\"<|>\"Extrinsic Motivation refers to factors that motivate people from outside, such as salary and extrinsic rewards.\")##\n(\"entity\"<|>\"Theory X\"<|>\"concept\"<|>\"Theory X assumes individuals work for the sole purpose of income and are not ambitious or goal-oriented.\")##\n(\"entity\"<|>\"Theory Y\"<|>\"concept\"<|>\"Theory Y assumes individuals are intrinsically motivated to do good work and are encouraged by a personal coaching feel.\")##\n(\"entity\"<|>\"Theory Z\"<|>\"concept\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f2cf82a2f81f9cf065375be96f420c3c": { + "return": "Here is the updated list of entities:\n\n(\"entity\"<|>\"Frederick Herzberg\"<|>\"person\"<|>\"Frederick Herzberg is a researcher who conducted a study on motivational factors in working life.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guide to project management.\")##\n(\"entity\"<|>\"Daniel Pink\"<|>\"person\"<|>\"Daniel Pink is a researcher who published books about intrinsic factors that motivate people.\")##\n(\"entity\"<|>\"David McClellan\"<|>\"person\"<|>\"David McClellan is a researcher who developed a model stating that people are driven by needs of achievement, power, and affiliation.\")##\n(\"entity\"<|>\"Douglas McGregor\"<|>\"person\"<|>\"Douglas McGregor is a researcher who devised the Theory X and Theory Y models of employee motivation.\")##\n(\"entity\"<|>\"Abraham Maslow\"<|>\"person\"<|>\"Abraham Maslow is a researcher who saw Theory Z as a transcendent dimension to work where individuals are motivated by self-realization, values, and a higher calling.\")##\n(\"entity\"<|>\"William Ouchi\"<|>\"person\"<|>\"William Ouchi is a researcher who focused on motivating employees by creating a job for life where the focus is on the well-being of employees and their families.\")##\n(\"entity\"<|>\"Jeff Hiatt\"<|>\"person\"<|>\"Jeff Hiatt is a researcher who developed the ADKAR Model for change management.\")##\n(\"entity\"<|>\"Herzberg's Model\"<|>\"concept\"<|>\"Herzberg's Model describes motivational factors that include matters related to the content of the work, such as achievement, growth, and advancement.\")##\n(\"entity\"<|>\"Intrinsic Motivation\"<|>\"concept\"<|>\"Intrinsic Motivation refers to factors that motivate people from within, such as autonomy, mastery, and purpose.\")##\n(\"entity\"<|>\"Extrinsic Motivation\"<|>\"concept\"<|>\"Extrinsic Motivation refers to factors that motivate people from outside, such as salary and extrinsic rewards.\")##\n(\"entity\"<|>\"Theory X\"<|>\"concept\"<|>\"Theory X assumes individuals work for the sole purpose of income and are not ambitious or goal-oriented.\")##\n(\"entity\"<|>\"Theory Y\"<|>\"concept\"<|>\"Theory Y assumes individuals are intrinsically motivated to do good work and are encouraged by a personal coaching feel.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7c4c50004740d0e584c8339d46cc2d76": { + "return": "(\"entity\"<|>\"Jeff Hiatt\"<|>\"person\"<|>\"Jeff Hiatt developed the ADKAR Model, which focuses on five sequential steps that individuals undergo when adapting to change.\")##\n(\"entity\"<|>\"John Kotter\"<|>\"person\"<|>\"John Kotter introduced the 8-Step Process for Leading Change for transforming organizations.\")##\n(\"entity\"<|>\"Virginia Satir\"<|>\"person\"<|>\"Virginia Satir developed a model of how people experience and cope with change.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide and has a Seventh Edition.\")##\n(\"entity\"<|>\"ADKAR Model\"<|>\"concept\"<|>\"The ADKAR Model is a framework for adapting to change, consisting of five sequential steps.\")##\n(\"entity\"<|>\"8-Step Process for Leading Change\"<|>\"concept\"<|>\"The 8-Step Process for Leading Change is a top-down approach for transforming organizations.\")##\n(\"entity\"<|>\"Virginia Satir Change Model\"<|>\"concept\"<|>\"The Virginia Satir Change Model helps project team members understand what they are feeling and enable them to move through change more efficiently.\")##\n(\"entity\"<|>\"Transition Model\"<|>\"concept\"<|>\"The Transition Model provides an understanding of what occurs to individuals psychologically when an organizational change takes place.\")##\n(\"entity\"<|>\"Late status quo\"<|>\"concept\"<|>\"Late status quo is the initial stage of change, characterized as 'business as usual' and often feeling stale or boring.\")##\n(\"entity\"<|>\"The foreign element\"<|>\"concept\"<|>\"The foreign element is a shift in the status quo that introduces change to people's usual way of working.\")##\n(\"entity\"<|>\"Chaos\"<|>\"concept\"<|>\"Chaos is a stage of change where people are in unfamiliar territory, feeling anxious, shut down, or excited.\")##\n(\"entity\"<|>\"The transforming idea\"<|>\"concept\"<|>\"The transforming idea is a point where people come up with an idea that helps them make sense of the situation.\")##\n(\"entity\"<|>\"Practice and integration\"<|>\"concept\"<|>\"Practice and integration is the stage where people try to implement their new ideas or behaviors.\")##\n(\"entity\"<|>\"New status quo\"<|>\"concept\"<|>\"New status quo is the final stage of change, where people get used to the new environment and their performance stabilizes", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "d777393dfb8d3c2c9fd2e532d0111dcf": { + "return": "Here are the additional entities extracted:\n\n(\"entity\"<|>\"change\"<|>\"concept\"<|>\"Change refers to the process of adapting to a new situation or circumstances.\")##\n(\"entity\"<|>\"transition\"<|>\"concept\"<|>\"Transition is a psychological process that individuals undergo when an organizational change takes place.\")##\n(\"entity\"<|>\"individuals\"<|>\"concept\"<|>\"Individuals are the people who undergo change and transition.\")##\n(\"entity\"<|>\"organizational change\"<|>\"concept\"<|>\"Organizational change refers to the process of changing the structure, policies, or procedures of an organization.\")##\n(\"entity\"<|>\"status quo\"<|>\"concept\"<|>\"Status quo refers to the current state of affairs, which can be characterized as 'business as usual'.\")##\n(\"entity\"<|>\"urgency\"<|>\"concept\"<|>\"Urgency refers to the need for and approach to change, which originates at the top levels of an organization.\")##\n(\"entity\"<|>\"coalition\"<|>\"concept\"<|>\"Coalition refers to a group of influential people from various roles, expertise, social, and political importance who lead change.\")##\n(\"entity\"<|>\"vision\"<|>\"concept\"<|>\"Vision refers to a brief statement that summarizes the change and its values.\")##\n(\"entity\"<|>\"strategy\"<|>\"concept\"<|>\"Strategy refers to a plan to realize the vision and achieve the desired change.\")##\n(\"entity\"<|>\"obstacles\"<|>\"concept\"<|>\"Obstacles refer to the challenges and barriers that hinder the change process.\")##\n(\"entity\"<|>\"short-term wins\"<|>\"concept\"<|>\"Short-term wins refer to the quick and easy successes that build momentum and support for the change.\")##\n(\"entity\"<|>\"goals\"<|>\"concept\"<|>\"Goals refer to the objectives that the organization sets for continued improvement after the change.\")##\n(\"entity\"<|>\"corporate culture\"<|>\"concept\"<|>\"Corporate culture refers to the values, norms, and practices that are ingrained in an organization.\")##\n(\"entity\"<|>\"model\"<|>\"concept\"<|>\"Model refers to a framework or structure that helps understand and manage change.\")##\n(\"entity\"<|>\"steps\"<|>\"concept\"<|>\"Steps refer to the sequential actions or phases that individuals undergo when adapting to change.\")##\n(\"entity\"<|>\"process\"<|>\"concept\"<|>\"Process refers to the series of actions or operations that are performed to achieve a specific", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e4324ea6fcef7cd211f4274cd2e6acfc": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"William Bridges\"<|>\"person\"<|>\"William Bridges is a person who developed the Transition Model, a framework for understanding psychological change.\")##\n(\"entity\"<|>\"Dave Snowden\"<|>\"person\"<|>\"Dave Snowden is a person who created the Cynefin framework, a conceptual model for decision-making.\")##\n(\"entity\"<|>\"Ralph Stacey\"<|>\"person\"<|>\"Ralph Stacey is a person who developed the Stacey matrix, a model for determining project complexity.\")##\n(\"entity\"<|>\"Bruce Tuckman\"<|>\"person\"<|>\"Bruce Tuckman is a person who articulated the stages of team development in the Tuckman Ladder.\")##\n(\"entity\"<|>\"Cynefin framework\"<|>\"concept\"<|>\"The Cynefin framework is a conceptual model used to diagnose cause-and-effect relationships and aid decision-making.\")##\n(\"entity\"<|>\"Stacey matrix\"<|>\"concept\"<|>\"The Stacey matrix is a model for determining project complexity based on uncertainty and technology.\")##\n(\"entity\"<|>\"Tuckman Ladder\"<|>\"concept\"<|>\"The Tuckman Ladder is a model for understanding team development, with stages from forming to adjourning.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"The PMBOK Guide is a resource for project management, providing a framework for project teams.\")##\n(\"entity\"<|>\"Transition Model\"<|>\"concept\"<|>\"The Transition Model explains the psychological process of change, with stages of ending, neutral zone, and new beginning.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, a widely used resource for project management.\"<|>\"publication, resource\"<|>9)##\n(\"relationship\"<|>\"William Bridges\"<|>\"Transition Model\"<|>\"William Bridges developed the Transition Model, a framework for understanding psychological change.\"<|>\"authorship, psychological change\"<|>8)##\n(\"relationship\"<|>\"Dave Snowden\"<|>\"Cynefin framework\"<|>\"Dave Snowden created the Cynefin framework, a conceptual model for decision-making.\"<|>\"authorship, decision-making\"<|>9)##\n(\"relationship\"<|>\"Ralph Stacey\"<|>\"Stacey matrix", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a08c89810bfba95c025ba2ac510865bf": { + "return": "After re-extracting the entities, I've added the missing ones to the list:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"William Bridges\"<|>\"person\"<|>\"William Bridges is a person who developed the Transition Model, a framework for understanding psychological change.\")##\n(\"entity\"<|>\"Dave Snowden\"<|>\"person\"<|>\"Dave Snowden is a person who created the Cynefin framework, a conceptual model for decision-making.\")##\n(\"entity\"<|>\"Ralph Stacey\"<|>\"person\"<|>\"Ralph Stacey is a person who developed the Stacey matrix, a model for determining project complexity.\")##\n(\"entity\"<|>\"Bruce Tuckman\"<|>\"person\"<|>\"Bruce Tuckman is a person who articulated the stages of team development in the Tuckman Ladder.\")##\n(\"entity\"<|>\"Cynefin framework\"<|>\"concept\"<|>\"The Cynefin framework is a conceptual model used to diagnose cause-and-effect relationships and aid decision-making.\")##\n(\"entity\"<|>\"Stacey matrix\"<|>\"concept\"<|>\"The Stacey matrix is a model for determining project complexity based on uncertainty and technology.\")##\n(\"entity\"<|>\"Tuckman Ladder\"<|>\"concept\"<|>\"The Tuckman Ladder is a model for understanding team development, with stages from forming to adjourning.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"The PMBOK Guide is a resource for project management, providing a framework for project teams.\")##\n(\"entity\"<|>\"Transition Model\"<|>\"concept\"<|>\"The Transition Model explains the psychological process of change, with stages of ending, neutral zone, and new beginning.\")##\n(\"entity\"<|>\"Change\"<|>\"concept\"<|>\"Change refers to a situational event that may or may not be accompanied by transition.\")##\n(\"entity\"<|>\"Transition\"<|>\"concept\"<|>\"Transition is a psychological process where people gradually accept the details of the new situation and the changes that come with it.\")##\n(\"entity\"<|>\"Ending\"<|>\"concept\"<|>\"Ending is the first stage of the Transition Model, where the change is introduced.\")##\n(\"entity\"<|>\"Losing\"<|>\"concept\"<|>\"Losing is the first stage of the Transition Model, where people experience fear, anger,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6d533221e750b2e09fa421048025c6fd": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that develops and publishes project management models and guides.\")##\n(\"entity\"<|>\"Allan Drexler\"<|>\"person\"<|>\"Allan Drexler is a person who developed a team performance model with David Sibbet.\")##\n(\"entity\"<|>\"David Sibbet\"<|>\"person\"<|>\"David Sibbet is a person who developed a team performance model with Allan Drexler.\")##\n(\"entity\"<|>\"Ken Thomas\"<|>\"person\"<|>\"Ken Thomas is a person who developed a model for addressing conflict.\")##\n(\"entity\"<|>\"Ralph Kilmann\"<|>\"person\"<|>\"Ralph Kilmann is a person who developed a model for addressing conflict.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project team members are individuals who contribute to a project team.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"organization\"<|>\"A project manager is a person responsible for overseeing a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in a project.\")##\n(\"entity\"<|>\"Conflict\"<|>\"concept\"<|>\"Conflict is a common issue that can arise in a project.\")##\n(\"entity\"<|>\"Conflict Resolution\"<|>\"concept\"<|>\"Conflict resolution is the process of addressing and resolving conflicts.\")##\n(\"relationship\"<|>\"Allan Drexler\"<|>\"David Sibbet\"<|>\"Allan Drexler and David Sibbet collaborated on developing a team performance model.\"<|>\"collaboration, team performance\"<|>9)##\n(\"relationship\"<|>\"Ken Thomas\"<|>\"Ralph Kilmann\"<|>\"Ken Thomas and Ralph Kilmann developed models for addressing conflict.\"<|>\"conflict resolution, collaboration\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Team Members\"<|>\"Project team members are part of a project team.\"<|>\"team dynamics, membership\"<|>7)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"A project manager leads a project team.\"<|>\"leadership, project management\"<|>9)##\n(\"relationship\"<|>\"Stake", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f7908a0e36a260a08f38d6a674ad5c47": { + "return": "Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that develops and publishes project management models and guides.\")##\n(\"entity\"<|>\"Allan Drexler\"<|>\"person\"<|>\"Allan Drexler is a person who developed a team performance model with David Sibbet.\")##\n(\"entity\"<|>\"David Sibbet\"<|>\"person\"<|>\"David Sibbet is a person who developed a team performance model with Allan Drexler.\")##\n(\"entity\"<|>\"Ken Thomas\"<|>\"person\"<|>\"Ken Thomas is a person who developed a model for addressing conflict.\")##\n(\"entity\"<|>\"Ralph Kilmann\"<|>\"person\"<|>\"Ralph Kilmann is a person who developed a model for addressing conflict.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project team members are individuals who contribute to a project team.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"organization\"<|>\"A project manager is a person responsible for overseeing a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups who have an interest in a project.\")##\n(\"entity\"<|>\"Conflict\"<|>\"concept\"<|>\"Conflict is a common issue that can arise in a project.\")##\n(\"entity\"<|>\"Conflict Resolution\"<|>\"concept\"<|>\"Conflict resolution is the process of addressing and resolving conflicts.\")##\n(\"entity\"<|>\"Drexler/Sibbet Team Performance Model\"<|>\"concept\"<|>\"The Drexler/Sibbet team performance model describes the stages of team development.\")##\n(\"entity\"<|>\"Team Development\"<|>\"concept\"<|>\"Team development refers to the process of building and improving a team.\")##\n(\"entity\"<|>\"Team Performance\"<|>\"concept\"<|>\"Team performance refers to the effectiveness of a team in achieving its goals.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"concept\"<|>\"A project charter is a document that outlines the purpose and scope of a project.\")##\n(\"entity\"<|>\"Business Case\"<|>\"concept\"<|>\"A business case is a document that outlines the benefits and justification for a project.\")##\n(\"entity\"<|>\"Lean Start-up Canvas\"<|>\"concept", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "55ad52a70f7dab38b84fe3d718b39f11": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a widely used reference for project management.\")##\n(\"entity\"<|>\"Barry Boehm\"<|>\"person\"<|>\"Barry Boehm is a person who developed a model for planning that compares time and effort invested in developing plans to reduce risk.\")##\n(\"entity\"<|>\"Steven Covey\"<|>\"person\"<|>\"Steven Covey is a person who developed the principle of 'Think Win-Win', a model for negotiation.\")##\n(\"entity\"<|>\"Project Management Institute (PMI) Guide to the Project Management Body of Knowledge (PMBOK Guide)\"<|>\"technology\"<|>\"PMBOK Guide is a widely used reference for project management that outlines various models, methods, and artifacts.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Barry Boehm\"<|>\"Barry Boehm's model is mentioned in the PMBOK Guide, indicating a connection between the two.\"<|>\"project management, publication\"<|>6)##\n(\"relationship\"<|>\"PMI\"<|>\"Steven Covey\"<|>\"The PMBOK Guide mentions Steven Covey's principle of 'Think Win-Win', indicating an association between the two.\"<|>\"project management, negotiation\"<|>5)##\n(\"relationship\"<|>\"Barry Boehm\"<|>\"PMBOK Guide\"<|>\"Barry Boehm's model is described in the PMBOK Guide, indicating that it is a widely recognized reference in project management.\"<|>\"project management, publication\"<|>7)##\n(\"relationship\"<|>\"Steven Covey\"<|>\"PMBOK Guide\"<|>\"Steven Covey's principle of 'Think Win-Win' is mentioned in the PMBOK Guide, indicating its relevance to project management.\"<|>\"project management, negotiation\"<|>6)##\n(\"content_keywords\"<|>\"project management, negotiation, publication, risk management\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fe2e15149ff4576cd990aa1137eeaf61": { + "return": "Here are the additional entities that were missed:\n\n(\"entity\"<|>\"Section 4 – Models, Methods, and Artifacts\"<|>\"technology\"<|>\"Section 4 – Models, Methods, and Artifacts is a part of the PMBOK Guide that deals with various models, methods, and artifacts in project management.\")##\n(\"entity\"<|>\"Win-win\"<|>\"concept\"<|>\"Win-win is a concept in negotiation where all parties involved are satisfied with the outcome.\")##\n(\"entity\"<|>\"Win-lose/lose-win\"<|>\"concept\"<|>\"Win-lose/lose-win is a concept in negotiation where one party wins and the other loses, or one party chooses to lose so that others can win.\")##\n(\"entity\"<|>\"Lose-lose\"<|>\"concept\"<|>\"Lose-lose is a concept in negotiation where all parties involved end up worse off.\")##\n(\"entity\"<|>\"Character\"<|>\"concept\"<|>\"Character refers to the qualities or traits of individuals involved in a negotiation.\")##\n(\"entity\"<|>\"Trust\"<|>\"concept\"<|>\"Trust refers to the level of confidence and reliance that parties have in each other during a negotiation.\")##\n(\"entity\"<|>\"Approach\"<|>\"concept\"<|>\"Approach refers to the way in which parties interact and communicate with each other during a negotiation.\")##\n(\"entity\"<|>\"Forcing\"<|>\"concept\"<|>\"Forcing is a negotiation approach where one party imposes their will on the other party.\")##\n(\"entity\"<|>\"Smoothing/accommodating\"<|>\"concept\"<|>\"Smoothing/accommodating is a negotiation approach where parties work together to find a mutually beneficial solution.\")##\n(\"entity\"<|>\"Withdrawal/avoiding\"<|>\"concept\"<|>\"Withdrawal/avoiding is a negotiation approach where parties withdraw from the negotiation or avoid conflict.\")##\n(\"entity\"<|>\"Initiating\"<|>\"event\"<|>\"Initiating is a process group in project management that involves defining a new project or phase.\")##\n(\"entity\"<|>\"Planning\"<|>\"event\"<|>\"Planning is a process group in project management that involves establishing the scope of the project, refining objectives, and defining the course of action.\")##\n(\"entity\"<|>\"Executing\"<|>\"event\"<|>\"Executing is a process group in project management that involves completing the work defined in the project management plan.\")##\n(\"entity\"<|>\"Monitoring and Controlling\"<|>\"event\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f7ec0ff63dd38142133d8f3e4f0292d1": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines various models and methods used in project management.\")##\n(\"entity\"<|>\"Ronald K. Mitchell\"<|>\"person\"<|>\"Ronald K. Mitchell is a person who proposed the Salience Model, a stakeholder identification model.\")##\n(\"entity\"<|>\"Bradley R. Agle\"<|>\"person\"<|>\"Bradley R. Agle is a person who co-authored the Salience Model.\")##\n(\"entity\"<|>\"Donna J. Wood\"<|>\"person\"<|>\"Donna J. Wood is a person who co-authored the Salience Model.\")##\n(\"entity\"<|>\"Salience Model\"<|>\"concept\"<|>\"The Salience Model is a stakeholder identification model that considers power, legitimacy, and urgency.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document that outlines various models and methods used in project management.\")##\n(\"relationship\"<|>\"Ronald K. Mitchell\"<|>\"Salience Model\"<|>\"Ronald K. Mitchell proposed the Salience Model, a stakeholder identification model.\"<|>\"stakeholder identification, model development\"<|>8)##\n(\"relationship\"<|>\"Salience Model\"<|>\"Bradley R. Agle\"<|>\"Bradley R. Agle co-authored the Salience Model, a stakeholder identification model.\"<|>\"collaboration, model development\"<|>7)##\n(\"relationship\"<|>\"Salience Model\"<|>\"Donna J. Wood\"<|>\"Donna J. Wood co-authored the Salience Model, a stakeholder identification model.\"<|>\"collaboration, model development\"<|>7)##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, a document that outlines various models and methods used in project management.\"<|>\"publication, project management\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Salience Model\"<|>\"The PMBOK Guide mentions the Salience Model, a stakeholder identification model.\"<|>\"reference, model mention\"<|>6)##\n(\"content_keywords\"<|>\"stakeholder identification", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6a4cf270fecf0399472ff17a2ec63388": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines various models and methods used in project management.\")##\n(\"entity\"<|>\"Ronald K. Mitchell\"<|>\"person\"<|>\"Ronald K. Mitchell is a person who proposed the Salience Model, a stakeholder identification model.\")##\n(\"entity\"<|>\"Bradley R. Agle\"<|>\"person\"<|>\"Bradley R. Agle is a person who co-authored the Salience Model.\")##\n(\"entity\"<|>\"Donna J. Wood\"<|>\"person\"<|>\"Donna J. Wood is a person who co-authored the Salience Model.\")##\n(\"entity\"<|>\"Salience Model\"<|>\"concept\"<|>\"The Salience Model is a stakeholder identification model that considers power, legitimacy, and urgency.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document that outlines various models and methods used in project management.\")##\n(\"entity\"<|>\"Performance Domain\"<|>\"concept\"<|>\"Performance Domain refers to the area of project management where a specific model is likely to be used.\")##\n(\"entity\"<|>\"Models\"<|>\"concept\"<|>\"Models are frameworks or structures used in project management to organize and understand complex information.\")##\n(\"entity\"<|>\"Methods\"<|>\"concept\"<|>\"Methods are techniques or approaches used in project management to achieve specific outcomes.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with specific goals and objectives.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"concept\"<|>\"Stakeholders are individuals or groups with an interest in the project.\")##\n(\"entity\"<|>\"Assumptions\"<|>\"concept\"<|>\"Assumptions are factors considered to be true or certain without proof.\")##\n(\"entity\"<|>\"Constraints\"<|>\"concept\"<|>\"Constraints are limiting factors that affect the execution of a project.\")##\n(\"entity\"<|>\"Alternatives Analysis\"<|>\"method\"<|>\"Alternatives Analysis is a method used to evaluate identified options.\")##\n(\"entity\"<|>\"Assumption and Constraint Analysis\"<|>\"method\"<|>\"Assumption and Constraint Analysis is a method used to ensure that assumptions and", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "95b65577949181d9d38bedfdc6b7cf91": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guidebook (PMBOK Guide) that outlines various analysis methods and techniques.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI that outlines various analysis methods and techniques.\")##\n(\"entity\"<|>\"Business justification analysis methods\"<|>\"concept\"<|>\"Business justification analysis methods are a group of analysis methods used to justify a project or decision.\")##\n(\"entity\"<|>\"Payback period\"<|>\"concept\"<|>\"Payback period is the time needed to recover an investment.\")##\n(\"entity\"<|>\"Internal rate of return (IRR)\"<|>\"concept\"<|>\"Internal rate of return (IRR) is the projected annual yield of a project investment.\")##\n(\"entity\"<|>\"Return on investment (ROI)\"<|>\"concept\"<|>\"Return on investment (ROI) is the percent return on an initial investment.\")##\n(\"entity\"<|>\"Net present value (NPV)\"<|>\"concept\"<|>\"Net present value (NPV) is the future value of expected benefits, expressed in the value those benefits have at the time of investment.\")##\n(\"entity\"<|>\"Cost-benefit analysis\"<|>\"concept\"<|>\"Cost-benefit analysis is a financial analysis tool used to determine the benefits provided by a project against its costs.\")##\n(\"entity\"<|>\"Check sheet\"<|>\"concept\"<|>\"Check sheet is a tally sheet used as a checklist when gathering data.\")##\n(\"entity\"<|>\"Cost of quality\"<|>\"concept\"<|>\"Cost of quality includes all costs incurred over the life of the product by investment in preventing nonconformance to requirements.\")##\n(\"entity\"<|>\"Decision tree analysis\"<|>\"concept\"<|>\"Decision tree analysis is a diagramming and calculation method for evaluating the implications of a chain of multiple options in the presence of uncertainty.\")##\n(\"entity\"<|>\"Earned value analysis\"<|>\"concept\"<|>\"Earned value analysis is a method that utilizes a set of measures associated with scope, schedule, and cost to determine the cost and schedule performance of a project.\")##\n(\"entity\"<|>\"Expected monetary value (EMV)\"<|>\"concept\"<|>\"Expected monetary value (EMV) is the estimated value of an outcome expressed in monetary terms.\")##\n(\"entity\"<|>\"Forecast\"<|>\"concept\"<|>\"Forecast is an estimate or", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7d85ed2f27106c3efa2f7c233a621634": { + "return": "(\"entity\"<|>\"Section 4 – Models, Methods, and Artifacts\"<|>\"document\"<|>\"Section 4 – Models, Methods, and Artifacts is a part of the PMBOK Guide that outlines various analysis methods and techniques.\")##\n(\"entity\"<|>\"Quantitative forecasting\"<|>\"concept\"<|>\"Quantitative forecasting uses models where past information is used to predict future performance.\")##\n(\"entity\"<|>\"Qualitative forecasting\"<|>\"concept\"<|>\"Qualitative forecasting methods use the opinions and judgments of subject matter experts.\")##\n(\"entity\"<|>\"Regression analysis\"<|>\"concept\"<|>\"Regression analysis is an analytical technique where a series of input variables are examined in relation to their corresponding output results.\")##\n(\"entity\"<|>\"Causal or econometric forecasting\"<|>\"concept\"<|>\"Causal or econometric forecasting identifies variables that can have significant impact on future outcomes.\")##\n(\"entity\"<|>\"Probability and impact matrix\"<|>\"concept\"<|>\"Probability and impact matrix is a grid for mapping the probability of occurrence of each risk and its impact on project objectives.\")##\n(\"entity\"<|>\"Process analysis\"<|>\"concept\"<|>\"Process analysis is a systematic review of the steps and procedures to perform an activity.\")##\n(\"entity\"<|>\"Root cause analysis\"<|>\"concept\"<|>\"Root cause analysis is used to determine the basic underlying cause of a variance, defect, or a risk.\")##\n(\"entity\"<|>\"Sensitivity analysis\"<|>\"concept\"<|>\"Sensitivity analysis is used to determine which individual project risks or other sources of uncertainty have the most potential impact on project outcomes.\")##\n(\"entity\"<|>\"Simulations\"<|>\"concept\"<|>\"Simulations use models to show the combined effect of uncertainties in order to evaluate their potential impact on objectives.\")##\n(\"entity\"<|>\"Monte Carlo simulation\"<|>\"concept\"<|>\"Monte Carlo simulation is a method of identifying the potential impacts of risk and uncertainty using multiple iterations of a computer model.\")##\n(\"entity\"<|>\"Stakeholder analysis\"<|>\"concept\"<|>\"Stakeholder analysis involves systematically gathering and analyzing quantitative and qualitative information about stakeholders.\")##\n(\"entity\"<|>\"SWOT analysis\"<|>\"concept\"<|>\"SWOT analysis assesses the strengths, weaknesses, opportunities, and threats of an organization, project, or option.\")##\n(\"entity\"<|>\"Trend analysis\"<|>\"concept\"<|>\"Trend analysis is used to evaluate the direction and magnitude of changes", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b23796431c6b8a4c06c5cd114bdca6f6": { + "return": "Here is the output for the given text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework and guidebook.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together on a project.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder analysis involves gathering and analyzing information about individuals with an interest in a project.\")##\n(\"entity\"<|>\"SWOT Analysis\"<|>\"concept\"<|>\"SWOT analysis assesses an organization's strengths, weaknesses, opportunities, and threats.\")##\n(\"entity\"<|>\"Trend Analysis\"<|>\"concept\"<|>\"Trend analysis uses mathematical models to forecast future outcomes based on historical results.\")##\n(\"entity\"<|>\"Value Stream Mapping\"<|>\"concept\"<|>\"Value stream mapping documents, analyzes, and improves the flow of information or materials required to produce a product or service.\")##\n(\"entity\"<|>\"Variance Analysis\"<|>\"concept\"<|>\"Variance analysis is used to determine the cause and degree of difference between the baseline and actual performance.\")##\n(\"entity\"<|>\"What-If Scenario Analysis\"<|>\"concept\"<|>\"What-if scenario analysis evaluates scenarios to predict their effect on project objectives.\")##\n(\"entity\"<|>\"Backlog Refinement\"<|>\"event\"<|>\"Backlog refinement is a meeting where the backlog is elaborated and prioritized.\")##\n(\"entity\"<|>\"Bidder Conference\"<|>\"event\"<|>\"Bidder conference is a meeting with prospective sellers to ensure a clear understanding of the procurement.\")##\n(\"entity\"<|>\"Change Control Board\"<|>\"event\"<|>\"Change control board is a meeting where decisions are made about changes to a project.\")##\n(\"entity\"<|>\"Daily Standup\"<|>\"event\"<|>\"Daily standup is a brief meeting where the project team reviews progress and declares intentions.\")##\n(\"entity\"<|>\"Iteration Planning\"<|>\"event\"<|>\"Iteration planning is a meeting to clarify details of the backlog items and work effort required.\")##\n(\"entity\"<|>\"Iteration Review\"<|>\"event\"<|>\"Iteration review is a meeting to demonstrate work accomplished during an iteration.\")##\n(\"entity\"<|>\"Kickoff\"<|>\"event", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "60b5de30b2b9df373e8462d8c2b04383": { + "return": "After re-extracting the entities and relationships from the text, here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework and guidebook.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together on a project.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"person\"<|>\"Stakeholder analysis involves gathering and analyzing information about individuals with an interest in a project.\")##\n(\"entity\"<|>\"SWOT Analysis\"<|>\"concept\"<|>\"SWOT analysis assesses an organization's strengths, weaknesses, opportunities, and threats.\")##\n(\"entity\"<|>\"Trend Analysis\"<|>\"concept\"<|>\"Trend analysis uses mathematical models to forecast future outcomes based on historical results.\")##\n(\"entity\"<|>\"Value Stream Mapping\"<|>\"concept\"<|>\"Value stream mapping documents, analyzes, and improves the flow of information or materials required to produce a product or service.\")##\n(\"entity\"<|>\"Variance Analysis\"<|>\"concept\"<|>\"Variance analysis is used to determine the cause and degree of difference between the baseline and actual performance.\")##\n(\"entity\"<|>\"What-If Scenario Analysis\"<|>\"concept\"<|>\"What-if scenario analysis evaluates scenarios to predict their effect on project objectives.\")##\n(\"entity\"<|>\"Backlog Refinement\"<|>\"event\"<|>\"Backlog refinement is a meeting where the backlog is elaborated and prioritized.\")##\n(\"entity\"<|>\"Bidder Conference\"<|>\"event\"<|>\"Bidder conference is a meeting with prospective sellers to ensure a clear understanding of the procurement.\")##\n(\"entity\"<|>\"Change Control Board\"<|>\"event\"<|>\"Change control board is a meeting where decisions are made about changes to a project.\")##\n(\"entity\"<|>\"Daily Standup\"<|>\"event\"<|>\"Daily standup is a brief meeting where the project team reviews progress and declares intentions.\")##\n(\"entity\"<|>\"Iteration Planning\"<|>\"event\"<|>\"Iteration planning is a meeting to clarify details of the backlog items and work effort required.\")##\n(\"entity\"<|>\"Iteration Review\"<|>\"event\"<|>\"Iteration review is a meeting to demonstrate work accomplished during an iteration.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8a8449d69bfa1964b196363e0e4bbb86": { + "return": "## (\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a guide used by project managers to improve project team performance.\")##\n(\"entity\"<|>\"Lessons learned meeting\"<|>\"event\"<|>\"Lessons learned meeting is used to identify and share knowledge gained during a project.\")##\n(\"entity\"<|>\"Planning meeting\"<|>\"event\"<|>\"Planning meeting is used to create, elaborate, or review a plan or plans.\")##\n(\"entity\"<|>\"Project closeout\"<|>\"event\"<|>\"Project closeout meeting is used to obtain final acceptance of the delivered scope.\")##\n(\"entity\"<|>\"Project review\"<|>\"event\"<|>\"Project review meeting is an event at the end of a phase or a project to assess the status.\")##\n(\"entity\"<|>\"Release planning\"<|>\"event\"<|>\"Release planning meetings identify a high-level plan for releasing or transitioning a product.\")##\n(\"entity\"<|>\"Retrospective\"<|>\"event\"<|>\"Retrospective is a workshop to explore work and results to improve process and product.\")##\n(\"entity\"<|>\"Risk review\"<|>\"event\"<|>\"Risk review meeting is used to analyze the status of existing risks and identify new risks.\")##\n(\"entity\"<|>\"Status meeting\"<|>\"event\"<|>\"Status meeting is a regularly scheduled event to exchange and analyze information about project progress.\")##\n(\"entity\"<|>\"Steering committee\"<|>\"event\"<|>\"Steering committee is a meeting where senior stakeholders provide direction and support to the project team.\")##\n(\"entity\"<|>\"Impact mapping\"<|>\"technology\"<|>\"Impact mapping is a strategic planning method that serves as a visual roadmap for the organization.\")##\n(\"entity\"<|>\"Modeling\"<|>\"technology\"<|>\"Modeling is the process of creating simplified representations of systems or solutions.\")##\n(\"entity\"<|>\"Net Promoter Score (NPS)<|>\"technology\"<|>\"Net Promoter Score is an index that measures customer satisfaction and loyalty.\")##\n(\"entity\"<|>\"Prioritization schema\"<|>\"technology\"<|>\"Prioritization schema are methods used to prioritize components, requirements, or product information.\")##\n(\"entity\"<|>\"Timebox\"<|>\"technology\"<|>\"Timebox is a short, fixed period of time in which work is to be completed.\")##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Lessons learned meeting\"<|>\"PMBOK Guide provides guidance", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7789081ba3797f7a5b71b2cf56f36104": { + "return": "## (\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a guide used by project managers to improve project team performance.\")##\n(\"entity\"<|>\"Lessons learned meeting\"<|>\"event\"<|>\"Lessons learned meeting is used to identify and share knowledge gained during a project.\")##\n(\"entity\"<|>\"Planning meeting\"<|>\"event\"<|>\"Planning meeting is used to create, elaborate, or review a plan or plans.\")##\n(\"entity\"<|>\"Project closeout\"<|>\"event\"<|>\"Project closeout meeting is used to obtain final acceptance of the delivered scope.\")##\n(\"entity\"<|>\"Project review\"<|>\"event\"<|>\"Project review meeting is an event at the end of a phase or a project to assess the status.\")##\n(\"entity\"<|>\"Release planning\"<|>\"event\"<|>\"Release planning meetings identify a high-level plan for releasing or transitioning a product.\")##\n(\"entity\"<|>\"Retrospective\"<|>\"event\"<|>\"Retrospective is a workshop to explore work and results to improve process and product.\")##\n(\"entity\"<|>\"Risk review\"<|>\"event\"<|>\"Risk review meeting is used to analyze the status of existing risks and identify new risks.\")##\n(\"entity\"<|>\"Status meeting\"<|>\"event\"<|>\"Status meeting is a regularly scheduled event to exchange and analyze information about project progress.\")##\n(\"entity\"<|>\"Steering committee\"<|>\"event\"<|>\"Steering committee is a meeting where senior stakeholders provide direction and support to the project team.\")##\n(\"entity\"<|>\"Impact mapping\"<|>\"technology\"<|>\"Impact mapping is a strategic planning method that serves as a visual roadmap for the organization.\")##\n(\"entity\"<|>\"Modeling\"<|>\"technology\"<|>\"Modeling is the process of creating simplified representations of systems or solutions.\")##\n(\"entity\"<|>\"Net Promoter Score (NPS)<|>\"technology\"<|>\"Net Promoter Score is an index that measures customer satisfaction and loyalty.\")##\n(\"entity\"<|>\"Prioritization schema\"<|>\"technology\"<|>\"Prioritization schema are methods used to prioritize components, requirements, or product information.\")##\n(\"entity\"<|>\"Timebox\"<|>\"technology\"<|>\"Timebox is a short, fixed period of time in which work is to be completed.\")##\n(\"entity\"<|>\"Alternatives analysis\"<|>\"technology\"<|>\"Alternatives analysis is a method used to evaluate different", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "75f41cd3072adf6eba4c213caea6eaa3": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a standard for project management.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"A Project Manager is responsible for managing a project, including creating project plans, managing resources, and ensuring the project is completed on time, within budget, and to the required quality.\")##\n(\"entity\"<|>\"Project Manager's Guide\"<|>\"document\"<|>\"The Project Manager's Guide, also known as the PMBOK Guide, is a document that provides a framework for project management.\")##\n(\"entity\"<|>\"Project\"<|>\"event\"<|>\"A project is a temporary endeavor with a defined start and end date, aimed at achieving specific goals and objectives.\")##\n(\"entity\"<|>\"Project Plan\"<|>\"document\"<|>\"A project plan is a document that outlines the scope, schedule, budget, and resources required to complete a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve the objectives of a project.\")##\n(\"entity\"<|>\"Project Manager's Team\"<|>\"organization\"<|>\"The Project Manager's Team is a group of individuals working together to support the Project Manager in managing a project.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"document\"<|>\"A project charter is a document that formally authorizes the existence of a project and provides the Project Manager with the authority to apply organizational resources to project activities.\")##\n(\"entity\"<|>\"Project Vision Statement\"<|>\"document\"<|>\"A project vision statement is a concise, high-level description of the project that states the purpose and inspires the project team to contribute to the project.\")##\n(\"entity\"<|>\"Project Roadmap\"<|>\"document\"<|>\"A project roadmap is a document that provides a high-level timeline that depicts milestones, significant events, reviews, and decision points.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Manager's Guide\"<|>\"PMI publishes the Project Manager's Guide, which is a widely used standard for project management.\"<|>\"publication, standardization\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Manager's Guide\"<|>\"A Project Manager uses the Project Manager's Guide as a framework for managing a project.\"<|>\"guidance, project management\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f149bd282c19193e3f0a3cff82e7055e": { + "return": "After re-extracting the entities from the text, here is the updated list:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a standard for project management.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"A Project Manager is responsible for managing a project, including creating project plans, managing resources, and ensuring the project is completed on time, within budget, and to the required quality.\")##\n(\"entity\"<|>\"Project Manager's Guide\"<|>\"document\"<|>\"The Project Manager's Guide, also known as the PMBOK Guide, is a document that provides a framework for project management.\")##\n(\"entity\"<|>\"Project\"<|>\"event\"<|>\"A project is a temporary endeavor with a defined start and end date, aimed at achieving specific goals and objectives.\")##\n(\"entity\"<|>\"Project Plan\"<|>\"document\"<|>\"A project plan is a document that outlines the scope, schedule, budget, and resources required to complete a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A project team is a group of individuals working together to achieve the objectives of a project.\")##\n(\"entity\"<|>\"Project Manager's Team\"<|>\"organization\"<|>\"The Project Manager's Team is a group of individuals working together to support the Project Manager in managing a project.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"document\"<|>\"A project charter is a document that formally authorizes the existence of a project and provides the Project Manager with the authority to apply organizational resources to project activities.\")##\n(\"entity\"<|>\"Project Vision Statement\"<|>\"document\"<|>\"A project vision statement is a concise, high-level description of the project that states the purpose and inspires the project team to contribute to the project.\")##\n(\"entity\"<|>\"Project Roadmap\"<|>\"document\"<|>\"A project roadmap is a document that provides a high-level timeline that depicts milestones, significant events, reviews, and decision points.\")##\n(\"entity\"<|>\"Business Case\"<|>\"document\"<|>\"A business case is a value proposition for a proposed project that may include financial and nonfinancial benefits.\")##\n(\"entity\"<|>\"Business Model Canvas\"<|>\"document\"<|>\"A business model canvas is a one-page visual summary that describes the value proposition, infrastructure, customers, and finances.\")##\n(\"entity\"<|>\"Project Brief\"<|>\"document\"<|>\"A", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "602ffebdab01d3a4dcf3bde0ec510c3d": { + "return": "(\"entity\"<|>\"Risk-adjusted backlog\"<|>\"organization\"<|>\"Risk-adjusted backlog is a type of backlog that includes work and actions to address threats and opportunities.\")##\n(\"entity\"<|>\"Risk register\"<|>\"organization\"<|>\"Risk register is a repository in which outputs of risk management processes are recorded.\")##\n(\"entity\"<|>\"Stakeholder register\"<|>\"organization\"<|>\"Stakeholder register records information about project stakeholders.\")##\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is a publication that provides guidance on project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a publication that provides guidance on project management.\")##\n(\"entity\"<|>\"Change control plan\"<|>\"organization\"<|>\"Change control plan is a component of the project management plan that establishes the change control board.\")##\n(\"entity\"<|>\"Communications management plan\"<|>\"organization\"<|>\"Communications management plan describes how information about the project will be administered and disseminated.\")##\n(\"entity\"<|>\"Cost management plan\"<|>\"organization\"<|>\"Cost management plan describes how costs will be planned, structured, and controlled.\")##\n(\"entity\"<|>\"Iteration plan\"<|>\"organization\"<|>\"Iteration plan is a detailed plan for the current iteration.\")##\n(\"entity\"<|>\"Procurement management plan\"<|>\"organization\"<|>\"Procurement management plan describes how a project team will acquire goods and services.\")##\n(\"entity\"<|>\"Project management plan\"<|>\"organization\"<|>\"Project management plan is a document that describes how the project will be executed, monitored and controlled, and closed.\")##\n(\"entity\"<|>\"Quality management plan\"<|>\"organization\"<|>\"Quality management plan describes how applicable policies, procedures, and guidelines will be implemented.\")##\n(\"entity\"<|>\"Release plan\"<|>\"organization\"<|>\"Release plan sets expectations for the dates, features, and/or outcomes expected to be delivered.\")##\n(\"entity\"<|>\"Requirements management plan\"<|>\"organization\"<|>\"Requirements management plan describes how requirements will be analyzed, documented, and managed.\")##\n(\"entity\"<|>\"Resource management plan\"<|>\"organization\"<|>\"Resource management plan describes how project resources are acquired, allocated, monitored, and controlled.\")##\n(\"entity\"<|>\"Risk management plan\"<|>\"organization\"<|>\"Risk management plan describes how risk management activities will", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9e9e1e280ab356dd8b47774b81a23ea1": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Backlog\"<|>\"organization\"<|>\"Backlog refers to a list of tasks or work to be done.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to a potential threat or opportunity that may impact a project.\")##\n(\"entity\"<|>\"Threat\"<|>\"concept\"<|>\"Threat refers to a potential negative event or circumstance that may impact a project.\")##\n(\"entity\"<|>\"Opportunity\"<|>\"concept\"<|>\"Opportunity refers to a potential positive event or circumstance that may impact a project.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"concept\"<|>\"Stakeholder refers to an individual or group with a vested interest in a project.\")##\n(\"entity\"<|>\"Project team\"<|>\"organization\"<|>\"Project team refers to the group of individuals working on a project.\")##\n(\"entity\"<|>\"Project activities\"<|>\"organization\"<|>\"Project activities refer to the tasks and work to be done on a project.\")##\n(\"entity\"<|>\"Organizational units\"<|>\"organization\"<|>\"Organizational units refer to the departments or teams within an organization that will perform project activities.\")##\n(\"entity\"<|>\"Project organization\"<|>\"organization\"<|>\"Project organization refers to the structure of the project team and its relationships with stakeholders.\")##\n(\"entity\"<|>\"Product\"<|>\"organization\"<|>\"Product refers to the deliverables or outcomes of a project.\")##\n(\"entity\"<|>\"Components\"<|>\"organization\"<|>\"Components refer to the individual parts of a product.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"organization\"<|>\"Deliverables refer to the tangible or intangible outcomes of a project.\")##\n(\"entity\"<|>\"Resource\"<|>\"organization\"<|>\"Resource refers to the people, materials, or equipment needed to complete a project.\")##\n(\"entity\"<|>\"Budget\"<|>\"organization\"<|>\"Budget refers to the approved estimate for a project or work breakdown structure component.\")##\n(\"entity\"<|>\"Schedule\"<|>\"organization\"<|>\"Schedule refers to the plan for completing a project.\")##\n(\"entity\"<|>\"Milestone\"<|>\"organization\"<|>\"Milestone refers to a significant event or point in a project schedule.\")##\n(\"entity\"<|>\"Performance measurement baseline\"<|>\"organization\"<|>\"Performance measurement baseline refers to the approved version of a work product or plan.\")##\n(\"entity\"<|>\"Scope statement", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "81d270d90650d24660242d29d3de7794": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide and provides information on project management models, methods, and artifacts.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI that provides information on project management models, methods, and artifacts.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide and provides information on project management.\")##\n(\"entity\"<|>\"Agreements and Contracts\"<|>\"concept\"<|>\"Agreements and Contracts refer to documents or communications that define the intentions of the parties involved in a project.\")##\n(\"entity\"<|>\"Risk Report\"<|>\"document\"<|>\"Risk Report is a project document that summarizes information on individual project risks and the level of overall project risk.\")##\n(\"entity\"<|>\"Quality Report\"<|>\"document\"<|>\"Quality Report is a project document that includes quality management issues, recommendations for corrective actions, and a summary of findings from quality control activities.\")##\n(\"entity\"<|>\"Status Report\"<|>\"document\"<|>\"Status Report is a document that provides a report on the current status of the project.\")##\n(\"entity\"<|>\"Project Schedule Network Diagram\"<|>\"document\"<|>\"Project Schedule Network Diagram is a graphical representation that shows the logical relationships among the project schedule activities.\")##\n(\"entity\"<|>\"Responsibility Assignment Matrix (RAM)<|>\"document\"<|>\"Responsibility Assignment Matrix (RAM) is a grid that shows the project resources assigned to each work package.\")##\n(\"entity\"<|>\"Value Stream Map\"<|>\"document\"<|>\"Value Stream Map is a lean enterprise method used to document, analyze, and improve the flow of information or materials required to produce a product or service for a customer.\")##\n(\"entity\"<|>\"Velocity Chart\"<|>\"document\"<|>\"Velocity Chart is a chart that tracks the rate at which the deliverables are produced, validated, and accepted within a predefined interval.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which provides information on project management models, methods, and artifacts.\"<|>\"publication, information dissemination\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Management Institute\"<|>\"PMBOK Guide is published by the Project Management Institute,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9b048bd29f646fcfb6491af4522c7143": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Section 4 – Models, Methods, and Artifacts\"<|>\"concept\"<|>\"Section 4 – Models, Methods, and Artifacts is a part of the PMBOK Guide that discusses various project management models, methods, and artifacts.\")##\n(\"entity\"<|>\"Work Breakdown Structure (WBS)<|>\"concept\"<|>\"Work Breakdown Structure (WBS) is a hierarchical decomposition of the project scope into smaller, more manageable tasks.\")##\n(\"entity\"<|>\"WBS Dictionary\"<|>\"document\"<|>\"WBS Dictionary is a document that provides a detailed description of the Work Breakdown Structure (WBS) and its associated tasks.\")##\n(\"entity\"<|>\"Change Control Procedures\"<|>\"concept\"<|>\"Change Control Procedures are formal procedures used to manage changes to the project scope, schedule, or budget.\")##\n(\"entity\"<|>\"Visual Data and Information\"<|>\"concept\"<|>\"Visual Data and Information refers to the use of visual aids such as charts, graphs, and diagrams to present data and information.\")##\n(\"entity\"<|>\"Affinity Diagram\"<|>\"document\"<|>\"Affinity Diagram is a visual representation of ideas grouped into categories for review and analysis.\")##\n(\"entity\"<|>\"Burndown/Burnup Chart\"<|>\"document\"<|>\"Burndown/Burnup Chart is a graphical representation of the work remaining or completed in a timebox.\")##\n(\"entity\"<|>\"Cause-and-Effect Diagram\"<|>\"document\"<|>\"Cause-and-Effect Diagram is a visual representation that helps identify the root cause of a problem.\")##\n(\"entity\"<|>\"Cumulative Flow Diagram (CFD)<|>\"document\"<|>\"Cumulative Flow Diagram (CFD) is a chart that shows the features completed over time.\")##\n(\"entity\"<|>\"Cycle Time Chart\"<|>\"document\"<|>\"Cycle Time Chart is a diagram that shows the average cycle time of work items completed over time.\")##\n(\"entity\"<|>\"Dashboards\"<|>\"document\"<|>\"Dashboards are a set of charts and graphs that show progress or performance against important measures.\")##\n(\"entity\"<|>\"Flowchart\"<|>\"document\"<|>\"Flowchart is a diagram that depicts the inputs, process actions, and outputs of one or more processes within a system.\")##\n(\"entity\"<|>\"Gantt Chart\"<|>\"document\"<|>\"Gantt Chart is a bar chart that provides schedule information.\")##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c109c566a47d03fbecd88ba0ffad2fe1": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines project management practices and artifacts.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology used in project management, outlining practices and artifacts for managing projects.\")##\n(\"entity\"<|>\"Contract\"<|>\"concept\"<|>\"A contract is a concept in project management, referring to a mutually binding agreement between a buyer and a seller.\")##\n(\"entity\"<|>\"Agreement\"<|>\"concept\"<|>\"An agreement is a concept in project management, referring to a mutually binding understanding between parties.\")##\n(\"entity\"<|>\"Request for Information (RFI)\"<|>\"technology\"<|>\"RFI is a technology used in project management, used to request information from prospective sellers.\")##\n(\"entity\"<|>\"Request for Quotation (RFQ)\"<|>\"technology\"<|>\"RFQ is a technology used in project management, used to request quotations from prospective sellers.\")##\n(\"entity\"<|>\"Request for Proposal (RFP)\"<|>\"technology\"<|>\"RFP is a technology used in project management, used to request proposals from prospective sellers.\")##\n(\"entity\"<|>\"Project Calendar\"<|>\"technology\"<|>\"A project calendar is a technology used in project management, identifying working days and shifts for scheduled activities.\")##\n(\"entity\"<|>\"Project Team Charter\"<|>\"technology\"<|>\"A project team charter is a technology used in project management, recording team values, agreements, and operating guidelines.\")##\n(\"entity\"<|>\"User Story\"<|>\"technology\"<|>\"A user story is a technology used in project management, describing an outcome for a specific user.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which outlines project management practices and artifacts.\"<|>\"publication, project management\"<|>8)##\n(\"relationship\"<|>\"Contract\"<|>\"Agreement\"<|>\"A contract is a type of agreement in project management, referring to a mutually binding understanding between parties.\"<|>\"conceptual relationship, project management\"<|>6)##\n(\"relationship\"<|>\"RFI\"<|>\"RFQ\"<|>\"RFI and RFQ are related technologies used in project management, both requesting information from prospective sellers.\"<|>\"related technologies, project management\"<|>5)##\n(\"relationship\"<|>\"RF", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "b90950ef4e5fcb3e35e3468a0657451e": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which outlines project management practices and artifacts.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology used in project management, outlining practices and artifacts for managing projects.\")##\n(\"entity\"<|>\"Contract\"<|>\"concept\"<|>\"A contract is a concept in project management, referring to a mutually binding agreement between a buyer and a seller.\")##\n(\"entity\"<|>\"Agreement\"<|>\"concept\"<|>\"An agreement is a concept in project management, referring to a mutually binding understanding between parties.\")##\n(\"entity\"<|>\"Request for Information (RFI)\"<|>\"technology\"<|>\"RFI is a technology used in project management, used to request information from prospective sellers.\")##\n(\"entity\"<|>\"Request for Quotation (RFQ)\"<|>\"technology\"<|>\"RFQ is a technology used in project management, used to request quotations from prospective sellers.\")##\n(\"entity\"<|>\"Request for Proposal (RFP)\"<|>\"technology\"<|>\"RFP is a technology used in project management, used to request proposals from prospective sellers.\")##\n(\"entity\"<|>\"Project Calendar\"<|>\"technology\"<|>\"A project calendar is a technology used in project management, identifying working days and shifts for scheduled activities.\")##\n(\"entity\"<|>\"Project Team Charter\"<|>\"technology\"<|>\"A project team charter is a technology used in project management, recording team values, agreements, and operating guidelines.\")##\n(\"entity\"<|>\"User Story\"<|>\"technology\"<|>\"A user story is a technology used in project management, describing an outcome for a specific user.\")##\n(\"entity\"<|>\"Activity List\"<|>\"technology\"<|>\"An activity list is a technology used in project management, providing a tabulation of schedule activities.\")##\n(\"entity\"<|>\"Bid Documents\"<|>\"technology\"<|>\"Bid documents are a technology used in project management, used to request proposals from prospective sellers.\")##\n(\"entity\"<|>\"Metrics\"<|>\"technology\"<|>\"Metrics are a technology used in project management, describing an attribute and how to measure it.\")##\n(\"entity\"<|>\"Project Schedule\"<|>\"technology\"<|>\"A project schedule is a technology used in project management, outlining the timeline for a project.\")##\n(\"entity\"<|>\"Scope Baseline\"<|>\"technology\"<|>\"A", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "4ab69ee4d10d123094e7e4fa0a5ebc4c": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide and other project management standards.\")##\n(\"entity\"<|>\"Cynthia Snyder Dionisio\"<|>\"person\"<|>\"Cynthia Snyder Dionisio is a chair of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Michael Griffiths\"<|>\"person\"<|>\"Michael Griffiths is a cochair of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Nicholas Clemens\"<|>\"person\"<|>\"Nicholas Clemens is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Jean Luc Favrot\"<|>\"person\"<|>\"Jean Luc Favrot is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Jesse Fewell\"<|>\"person\"<|>\"Jesse Fewell is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Emily Jingjing Hu\"<|>\"person\"<|>\"Emily Jingjing Hu is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Betsy Kauffman\"<|>\"person\"<|>\"Betsy Kauffman is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Nader K. Rad\"<|>\"person\"<|>\"Nader K. Rad is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Giampaolo Marucci\"<|>\"person\"<|>\"Giampaolo Marucci is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Klaus Nielsen\"<|>\"person\"<|>\"Klaus Nielsen is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Maria Specht\"<|>\"person\"<|>\"Maria Specht is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Maricarmen Suarez\"<|>\"person\"<|>\"Maricarmen Suarez is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"Laurent Thomas\"<|>\"person\"<|>\"Laurent Thomas is a member of the PMBOK Guide – Seventh Edition Development Team.\")##\n(\"entity\"<|>\"J", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "76d01225adc48aee1d30602b3f7937db": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Artifact\"<|>\"concept\"<|>\"Artifact refers to a document or tool used in project management.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team is a group of individuals working together on a project.\")##\n(\"entity\"<|>\"Stakeholders\"<|>\"organization\"<|>\"Stakeholders are individuals or groups affected by a project.\")##\n(\"entity\"<|>\"Dev Approach\"<|>\"concept\"<|>\"Dev Approach refers to the development approach used in a project.\")##\n(\"entity\"<|>\"Life Cycle\"<|>\"concept\"<|>\"Life Cycle refers to the stages of a project.\")##\n(\"entity\"<|>\"Planning\"<|>\"concept\"<|>\"Planning refers to the process of creating a project plan.\")##\n(\"entity\"<|>\"Project Work\"<|>\"concept\"<|>\"Project Work refers to the tasks and activities performed in a project.\")##\n(\"entity\"<|>\"Delivery\"<|>\"concept\"<|>\"Delivery refers to the process of delivering a project.\")##\n(\"entity\"<|>\"Measurement\"<|>\"concept\"<|>\"Measurement refers to the process of tracking and evaluating project progress.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the unknowns and risks in a project.\")##\n(\"entity\"<|>\"Baseline Artifacts\"<|>\"concept\"<|>\"Baseline Artifacts refer to the documents or tools used to track project progress.\")##\n(\"entity\"<|>\"Visual Data and Information Artifacts\"<|>\"concept\"<|>\"Visual Data and Information Artifacts refer to the visual representations of project data.\")##\n(\"entity\"<|>\"Hierarchy Chart\"<|>\"concept\"<|>\"Hierarchy Chart refers to a visual representation of project organization.\")##\n(\"entity\"<|>\"Schedule management plan\"<|>\"concept\"<|>\"Schedule management plan refers to the plan for managing project timelines.\")##\n(\"entity\"<|>\"Stakeholder engagement plan\"<|>\"concept\"<|>\"Stakeholder engagement plan refers to the plan for engaging with stakeholders.\")##\n(\"entity\"<|>\"Test plan\"<|>\"concept\"<|>\"Test plan refers to the plan for testing project deliverables.\")##\n(\"entity\"<|>\"Gantt chart\"<|>\"concept\"<|>\"Gantt chart refers to a visual representation of project timelines.\")##\n(\"entity\"<|>\"Flow chart\"<|>\"concept\"<|>\"Flow chart refers to a visual representation of project processes.\")##\n(\"entity\"<|>\"Histogram\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "22df6315972c8689dd3df83395ce1122": { + "return": "Here is the output based on the provided text and entity types:\n\n(\"entity\"<|>\"PMI-ACP\"<|>\"organization\"<|>\"PMI-ACP is an organization that offers certifications and training for project management professionals.\")##\n(\"entity\"<|>\"Ruqaya Al Badi\"<|>\"person\"<|>\"Ruqaya Al Badi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Francesco Albergo\"<|>\"person\"<|>\"Francesco Albergo is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework and guide.\")##\n(\"entity\"<|>\"Amer Albuttma\"<|>\"person\"<|>\"Amer Albuttma is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Mohamed Aldoubasi\"<|>\"person\"<|>\"Mohamed Aldoubasi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"PMP\"<|>\"organization\"<|>\"PMP is a certification offered by various organizations for project management professionals.\")##\n(\"entity\"<|>\"Emad Al Ghamdi\"<|>\"person\"<|>\"Emad Al Ghamdi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Ahmed Ali Eziza\"<|>\"person\"<|>\"Ahmed Ali Eziza is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Mehdi Alibakhshi\"<|>\"person\"<|>\"Mehdi Alibakhshi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Hammam Alkouz\"<|>\"person\"<|>\"Hammam Alkouz is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Michel Allan\"<|>\"person\"<|>\"Michel Allan is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Sonja Almlie\"<|>\"person\"<|>\"Sonja Almlie is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Ahmad Al-Musallami\"<|>\"person\"<|>\"Ahmad Al-Musallami is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Moajeb Almutairi\"<|>\"person\"<|>\"Moajeb Almutairi is a certified project management professional", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "83a9469d788bae078f8eaefb0fda7e50": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI-ACP\"<|>\"organization\"<|>\"PMI-ACP is an organization that offers certifications and training for project management professionals.\")##\n(\"entity\"<|>\"Ruqaya Al Badi\"<|>\"person\"<|>\"Ruqaya Al Badi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Francesco Albergo\"<|>\"person\"<|>\"Francesco Albergo is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a project management framework and guide.\")##\n(\"entity\"<|>\"Amer Albuttma\"<|>\"person\"<|>\"Amer Albuttma is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Mohamed Aldoubasi\"<|>\"person\"<|>\"Mohamed Aldoubasi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"PMP\"<|>\"organization\"<|>\"PMP is a certification offered by various organizations for project management professionals.\")##\n(\"entity\"<|>\"Emad Al Ghamdi\"<|>\"person\"<|>\"Emad Al Ghamdi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Ahmed Ali Eziza\"<|>\"person\"<|>\"Ahmed Ali Eziza is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Mehdi Alibakhshi\"<|>\"person\"<|>\"Mehdi Alibakhshi is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Hammam Alkouz\"<|>\"person\"<|>\"Hammam Alkouz is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Michel Allan\"<|>\"person\"<|>\"Michel Allan is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Sonja Almlie\"<|>\"person\"<|>\"Sonja Almlie is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Ahmad Al-Musallami\"<|>\"person\"<|>\"Ahmad Al-Musallami is a certified project management professional with multiple certifications.\")##\n(\"entity\"<|>\"Moajeb Almutairi\"<|>\"person\"<|>\"Moajeb Almutairi is a certified project management professional with multiple certifications", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "41d9e83150d51c3817388b34e5e5d6a5": { + "return": "(\"entity\"<|>\"PMI-ACP\"<|>\"organization\"<|>\"PMI-ACP is a certification offered by the Project Management Institute, indicating its relevance to the field of project management.\")##\n(\"entity\"<|>\"PMP\"<|>\"organization\"<|>\"PMP is a certification offered by the Project Management Institute, indicating its relevance to the field of project management.\")##\n(\"entity\"<|>\"Myrna Bravo\"<|>\"person\"<|>\"Myrna Bravo is a certified PMP, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Bernd Brier\"<|>\"person\"<|>\"Bernd Brier is a certified PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Ana Briseño\"<|>\"person\"<|>\"Ana Briseño is a certified MTI, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Syed Asad Hasnain Bukhari\"<|>\"person\"<|>\"Syed Asad Hasnain Bukhari is a certified PMI-ACP and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Syed Qamar Abbas Bukhari\"<|>\"person\"<|>\"Syed Qamar Abbas Bukhari is a certified MBA, MIS, and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Gizem Bulu\"<|>\"person\"<|>\"Gizem Bulu is a certified PMP, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Rev. Andy Burns\"<|>\"person\"<|>\"Rev. Andy Burns is a certified CDAI and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Robert Buttrick\"<|>\"person\"<|>\"Robert Buttrick is a certified BEng, CEng, and FAPM Hon, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Dieter Butz\"<|>\"person\"<|>\"Dieter Butz is a certified PhD and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Karl Buxton\"<|>\"person\"<|>\"Karl Buxton is a certified PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Andrea Caccamese\"<|>\"person\"<|>\"Andrea Caccamese is a certified PRINCE2 and PMP, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Roberto A", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "67c4cdac3adc6f639cf08eeb0a3d1206": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI-ACP\"<|>\"organization\"<|>\"PMI-ACP is a certification offered by the Project Management Institute, indicating its relevance to the field of project management.\")##\n(\"entity\"<|>\"PMP\"<|>\"organization\"<|>\"PMP is a certification offered by the Project Management Institute, indicating its relevance to the field of project management.\")##\n(\"entity\"<|>\"Myrna Bravo\"<|>\"person\"<|>\"Myrna Bravo is a certified PMP, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Bernd Brier\"<|>\"person\"<|>\"Bernd Brier is a certified PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Ana Briseño\"<|>\"person\"<|>\"Ana Briseño is a certified MTI, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Syed Asad Hasnain Bukhari\"<|>\"person\"<|>\"Syed Asad Hasnain Bukhari is a certified PMI-ACP and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Syed Qamar Abbas Bukhari\"<|>\"person\"<|>\"Syed Qamar Abbas Bukhari is a certified MBA, MIS, and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Gizem Bulu\"<|>\"person\"<|>\"Gizem Bulu is a certified PMP, indicating her expertise in project management.\")##\n(\"entity\"<|>\"Rev. Andy Burns\"<|>\"person\"<|>\"Rev. Andy Burns is a certified CDAI and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Robert Buttrick\"<|>\"person\"<|>\"Robert Buttrick is a certified BEng, CEng, and FAPM Hon, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Dieter Butz\"<|>\"person\"<|>\"Dieter Butz is a certified PhD and PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Karl Buxton\"<|>\"person\"<|>\"Karl Buxton is a certified PMP, indicating his expertise in project management.\")##\n(\"entity\"<|>\"Andrea Caccamese\"<|>\"person\"<|>\"Andrea Caccamese is a certified PRINCE2 and PMP, indicating her expertise in project management", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8b275910c96f42cbada2e578515500a3": { + "return": "##(\"entity\"<|>\"SPC5\"<|>\"organization\"<|>\"SPC5 is a project management organization with a list of certified project managers.\")##\n##(\"entity\"<|>\"Cornelius Fichtner\"<|>\"person\"<|>\"Cornelius Fichtner is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"William Flanagan\"<|>\"person\"<|>\"William Flanagan is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Luis Alberto Flores\"<|>\"person\"<|>\"Luis Alberto Flores is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Gustavo Flouret\"<|>\"person\"<|>\"Gustavo Flouret is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Les Foley\"<|>\"person\"<|>\"Les Foley is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Mitchell Fong\"<|>\"person\"<|>\"Mitchell Fong is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Luis Eduardo Franca\"<|>\"person\"<|>\"Luis Eduardo Franca is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Kellen Sabrina Rodrigues Francisco\"<|>\"person\"<|>\"Kellen Sabrina Rodrigues Francisco is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Douglas Franco\"<|>\"person\"<|>\"Douglas Franco is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Carla Frazier\"<|>\"person\"<|>\"Carla Frazier is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Michael Frenette\"<|>\"person\"<|>\"Michael Frenette is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Ray Frohnhoefer\"<|>\"person\"<|>\"Ray Frohnhoefer is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Michelle Fuale\"<|>\"person\"<|>\"Michelle Fuale is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Steven Fullmer\"<|>\"person\"<|>\"Steven Fullmer is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Jeff Furman\"<|>\"person\"<|>\"Jeff Furman is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Nest", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2008fff6737879a3c619ddca7bcfcf91": { + "return": "##(\"entity\"<|>\"Nestor Gabarda Jr.\"<|>\"person\"<|>\"Nestor Gabarda Jr. is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Marius Gaitan\"<|>\"person\"<|>\"Marius Gaitan is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Zsolt G. Gálfalvi\"<|>\"person\"<|>\"Zsolt G. Gálfalvi is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Sara Gallagher\"<|>\"person\"<|>\"Sara Gallagher is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Juan Gabriel Gantiva Vergara\"<|>\"person\"<|>\"Juan Gabriel Gantiva Vergara is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Napoleon Garde\"<|>\"person\"<|>\"Napoleon Garde is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Artur Gasparyan\"<|>\"person\"<|>\"Artur Gasparyan is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Louis-Charles Gauthier\"<|>\"person\"<|>\"Louis-Charles Gauthier is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Fabio Gentilini\"<|>\"person\"<|>\"Fabio Gentilini is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Paul Geraghty\"<|>\"person\"<|>\"Paul Geraghty is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Kian Ghadaksaz\"<|>\"person\"<|>\"Kian Ghadaksaz is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Omar Ghazi Ahmad\"<|>\"person\"<|>\"Omar Ghazi Ahmad is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Arijit Ghosh\"<|>\"person\"<|>\"Arijit Ghosh is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Subhajit Ghosh\"<|>\"person\"<|>\"Subhajit Ghosh is a certified project manager with various credentials.\")##\n##(\"entity\"<|>\"Hisham Ghulam\"<|>\"person\"<|>\"Hisham Ghulam is a certified project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "db716ddb11d3146a2e9ee911eb7e648d": { + "return": "(\"entity\"<|>\"Han Kalayci\"<|>\"person\"<|>\"Han Kalayci is a professional with ITIL certification.\")##\n(\"entity\"<|>\"Sinbong Kang\"<|>\"person\"<|>\"Sinbong Kang is a professional with a PhD and PMP certification.\")##\n(\"entity\"<|>\"Antoine Karam\"<|>\"person\"<|>\"Antoine Karam is a professional with PMP and PMI-RMP certifications.\")##\n(\"entity\"<|>\"Alankar Karpe\"<|>\"person\"<|>\"Alankar Karpe is a professional with PMI-ACP and PMP certifications.\")##\n(\"entity\"<|>\"Aras Kartouzian\"<|>\"person\"<|>\"Aras Kartouzian is a professional with a PhD.\")##\n(\"entity\"<|>\"Naoki Kasahara\"<|>\"person\"<|>\"Naoki Kasahara is a professional.\")##\n(\"entity\"<|>\"Rohit Kathuria\"<|>\"person\"<|>\"Rohit Kathuria is a professional with P.Eng and PMP certifications.\")##\n(\"entity\"<|>\"Nikhil Srinivasan Kaundinya\"<|>\"person\"<|>\"Nikhil Srinivasan Kaundinya is a professional with PMP certification.\")##\n(\"entity\"<|>\"Rachel Keen\"<|>\"person\"<|>\"Rachel Keen is a professional.\")##\n(\"entity\"<|>\"Gretta Kelzi\"<|>\"person\"<|>\"Gretta Kelzi is a professional with CTT+, EADA, and PMP certifications.\")##\n(\"entity\"<|>\"Harry Kendrick\"<|>\"person\"<|>\"Harry Kendrick is a professional with MPM, CSM, and PMP certifications.\")##\n(\"entity\"<|>\"Suhail Khaled\"<|>\"person\"<|>\"Suhail Khaled is a professional with CSM and PMP certifications.\")##\n(\"entity\"<|>\"Mohamed Khalifa\"<|>\"person\"<|>\"Mohamed Khalifa is a professional with PMP, PgMP, and PfMP certifications.\")##\n(\"entity\"<|>\"Mehran Khalilnejadi\"<|>\"person\"<|>\"Mehran Khalilnejadi is a professional.\")##\n(\"entity\"<|>\"Alexander Khaydarov\"<|>\"person\"<|>\"Alexander Khaydarov is a professional.\")##\n(\"entity\"<|>\"Diwakar Killamsetty\"<|>\"person\"<|>\"Diwakar Killamset", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "64a206b96da2815112f885f73b69bd09": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"Han Kalayci\"<|>\"person\"<|>\"Han Kalayci is a professional with ITIL certification.\")##\n(\"entity\"<|>\"Sinbong Kang\"<|>\"person\"<|>\"Sinbong Kang is a professional with a PhD and PMP certification.\")##\n(\"entity\"<|>\"Antoine Karam\"<|>\"person\"<|>\"Antoine Karam is a professional with PMP and PMI-RMP certifications.\")##\n(\"entity\"<|>\"Alankar Karpe\"<|>\"person\"<|>\"Alankar Karpe is a professional with PMI-ACP and PMP certifications.\")##\n(\"entity\"<|>\"Aras Kartouzian\"<|>\"person\"<|>\"Aras Kartouzian is a professional with a PhD.\")##\n(\"entity\"<|>\"Naoki Kasahara\"<|>\"person\"<|>\"Naoki Kasahara is a professional.\")##\n(\"entity\"<|>\"Rohit Kathuria\"<|>\"person\"<|>\"Rohit Kathuria is a professional with P.Eng and PMP certifications.\")##\n(\"entity\"<|>\"Nikhil Srinivasan Kaundinya\"<|>\"person\"<|>\"Nikhil Srinivasan Kaundinya is a professional with PMP certification.\")##\n(\"entity\"<|>\"Rachel Keen\"<|>\"person\"<|>\"Rachel Keen is a professional.\")##\n(\"entity\"<|>\"Gretta Kelzi\"<|>\"person\"<|>\"Gretta Kelzi is a professional with CTT+, EADA, and PMP certifications.\")##\n(\"entity\"<|>\"Harry Kendrick\"<|>\"person\"<|>\"Harry Kendrick is a professional with MPM, CSM, and PMP certifications.\")##\n(\"entity\"<|>\"Suhail Khaled\"<|>\"person\"<|>\"Suhail Khaled is a professional with CSM and PMP certifications.\")##\n(\"entity\"<|>\"Mohamed Khalifa\"<|>\"person\"<|>\"Mohamed Khalifa is a professional with PMP, PgMP, and PfMP certifications.\")##\n(\"entity\"<|>\"Mehran Khalilnejadi\"<|>\"person\"<|>\"Mehran Khalilnejadi is a professional.\")##\n(\"entity\"<|>\"Alexander Khaydarov\"<|>\"person\"<|>\"Alexander Khaydarov is a professional.\")##\n(\"entity\"<|>\"Diwakar Killamsetty\"<|>\"person", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "450269ebdec0d9190df8b1a8b56839a8": { + "return": "(\"entity\"<|>\"Mohamed MH. Elfouly\"<|>\"person\"<|>\"Mohamed MH. Elfouly is a PhD holder and a professional with multiple certifications, indicating their expertise and qualifications.\")##\n(\"entity\"<|>\"Lubomira Mihailova\"<|>\"person\"<|>\"Lubomira Mihailova is an MBA holder and a professional with multiple certifications, indicating her expertise and qualifications.\")##\n(\"entity\"<|>\"Gloria J. Miller\"<|>\"person\"<|>\"Gloria J. Miller is a PMI-ACP and PMP holder, indicating her expertise and qualifications.\")##\n(\"entity\"<|>\"Vladimir Mininel\"<|>\"person\"<|>\"Vladimir Mininel is a PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Manuel Minute\"<|>\"person\"<|>\"Manuel Minute is a CPIM, CGEIT, and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Amr Miqdadi\"<|>\"person\"<|>\"Amr Miqdadi is a CIPM and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Nick Mirabella\"<|>\"person\"<|>\"Nick Mirabella is a PSN holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Kunihiko Mishima\"<|>\"person\"<|>\"Kunihiko Mishima is a professional with no specified certifications, indicating their expertise in other areas.\")##\n(\"entity\"<|>\"David E. Mitchell\"<|>\"person\"<|>\"David E. Mitchell is a PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Stephanie Moffatt\"<|>\"person\"<|>\"Stephanie Moffatt is a professional with no specified certifications, indicating her expertise in other areas.\")##\n(\"entity\"<|>\"Wolf Dieter Moggert\"<|>\"person\"<|>\"Wolf Dieter Moggert is a PMI-ACP, PMI-PBA, and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Walid Mohamed Ahmed\"<|>\"person\"<|>\"Walid Mohamed Ahmed is a professional with no specified certifications, indicating his expertise in other areas.\")##\n(\"entity\"<|>\"Eman Mohamed El Rashidy\"<|>\"person\"<|>\"Eman Mohamed El Rashidy is a PMP and PgMP holder, indicating her expertise and qualifications.\")##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "263f20916a4a4b27137cb8e603fef82d": { + "return": "Here is the updated output with all the entities extracted:\n\n(\"entity\"<|>\"Mohamed MH. Elfouly\"<|>\"person\"<|>\"Mohamed MH. Elfouly is a PhD holder and a professional with multiple certifications, indicating their expertise and qualifications.\")##\n(\"entity\"<|>\"Lubomira Mihailova\"<|>\"person\"<|>\"Lubomira Mihailova is an MBA holder and a professional with multiple certifications, indicating her expertise and qualifications.\")##\n(\"entity\"<|>\"Gloria J. Miller\"<|>\"person\"<|>\"Gloria J. Miller is a PMI-ACP and PMP holder, indicating her expertise and qualifications.\")##\n(\"entity\"<|>\"Vladimir Mininel\"<|>\"person\"<|>\"Vladimir Mininel is a PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Manuel Minute\"<|>\"person\"<|>\"Manuel Minute is a CPIM, CGEIT, and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Amr Miqdadi\"<|>\"person\"<|>\"Amr Miqdadi is a CIPM and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Nick Mirabella\"<|>\"person\"<|>\"Nick Mirabella is a PSN holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Kunihiko Mishima\"<|>\"person\"<|>\"Kunihiko Mishima is a professional with no specified certifications, indicating their expertise in other areas.\")##\n(\"entity\"<|>\"David E. Mitchell\"<|>\"person\"<|>\"David E. Mitchell is a PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Stephanie Moffatt\"<|>\"person\"<|>\"Stephanie Moffatt is a professional with no specified certifications, indicating her expertise in other areas.\")##\n(\"entity\"<|>\"Wolf Dieter Moggert\"<|>\"person\"<|>\"Wolf Dieter Moggert is a PMI-ACP, PMI-PBA, and PMP holder, indicating his expertise and qualifications.\")##\n(\"entity\"<|>\"Walid Mohamed Ahmed\"<|>\"person\"<|>\"Walid Mohamed Ahmed is a professional with no specified certifications, indicating his expertise in other areas.\")##\n(\"entity\"<|>\"Eman Mohamed El Rashidy\"<|>\"person\"<|>\"Eman Mohamed El Rashidy is a PMP and Pg", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a8e3b312a3bc6b0334305a2642c605e0": { + "return": "##(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides certification and training for project managers.\")##\n##(\"entity\"<|>\"Claudia Prince\"<|>\"person\"<|>\"Claudia Prince is a certified project manager.\")##\n##(\"entity\"<|>\"Carl Pritchard\"<|>\"person\"<|>\"Carl Pritchard is a certified project manager.\")##\n##(\"entity\"<|>\"Hossein Radmehr\"<|>\"person\"<|>\"Hossein Radmehr is a certified project manager.\")##\n##(\"entity\"<|>\"Metwaly, Medhat Ragab\"<|>\"person\"<|>\"Metwaly, Medhat Ragab is a certified project manager.\")##\n##(\"entity\"<|>\"Rajagopalan, Sriram Sundararajan\"<|>\"person\"<|>\"Rajagopalan, Sriram Sundararajan is a certified project manager.\")##\n##(\"entity\"<|>\"Rajamohan, Anne Niroshi\"<|>\"person\"<|>\"Rajamohan, Anne Niroshi is a certified project manager.\")##\n##(\"entity\"<|>\"Rajesh, Swetha\"<|>\"person\"<|>\"Rajesh, Swetha is a certified project manager.\")##\n##(\"entity\"<|>\"Ramamurthy, Karthik\"<|>\"person\"<|>\"Ramamurthy, Karthik is a certified project manager.\")##\n##(\"entity\"<|>\"Randhawa, Gurdev\"<|>\"person\"<|>\"Randhawa, Gurdev is a certified project manager.\")##\n##(\"entity\"<|>\"Rao, Alakananda\"<|>\"person\"<|>\"Rao, Alakananda is a certified project manager.\")##\n##(\"entity\"<|>\"Rao, S. Raghavendra\"<|>\"person\"<|>\"Rao, S. Raghavendra is a certified project manager.\")##\n##(\"entity\"<|>\"Rashwan, Reda\"<|>\"person\"<|>\"Rashwan, Reda is a certified project manager.\")##\n##(\"entity\"<|>\"Rathod, Rahul\"<|>\"person\"<|>\"Rathod, Rahul is a certified project manager.\")##\n##(\"entity\"<|>\"Ratkaj, Steve\"<|>\"person\"<|>\"Ratkaj, Steve is a certified project manager.\")##\n##(\"entity\"<|>\"Ravikumar, P", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "13e002ceabc0d861920741f80d0b0143": { + "return": "##(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"event\"<|>\"PMI Seventh Edition July 2021 is an event related to the certification and training for project managers.\")##\n##(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guidebook for project management.\")##\n##(\"entity\"<|>\"Kris Ravuvari\"<|>\"person\"<|>\"Kris Ravuvari is a certified project manager.\")##\n##(\"entity\"<|>\"Mohammad Yawar Raza\"<|>\"person\"<|>\"Mohammad Yawar Raza is a certified project manager.\")##\n##(\"entity\"<|>\"Krupakara Reddy\"<|>\"person\"<|>\"Krupakara Reddy is a certified project manager.\")##\n##(\"entity\"<|>\"S. Sreenivasula Reddy\"<|>\"person\"<|>\"S. Sreenivasula Reddy is a certified project manager.\")##\n##(\"entity\"<|>\"Lucas Rocha Rego\"<|>\"person\"<|>\"Lucas Rocha Rego is a certified project manager.\")##\n##(\"entity\"<|>\"Nabeel Ur Rehman\"<|>\"person\"<|>\"Nabeel Ur Rehman is a certified project manager.\")##\n##(\"entity\"<|>\"Alexander V. Revin\"<|>\"person\"<|>\"Alexander V. Revin is a certified project manager.\")##\n##(\"entity\"<|>\"Roman Reznikov\"<|>\"person\"<|>\"Roman Reznikov is a certified project manager.\")##\n##(\"entity\"<|>\"Tashfeen Riaz\"<|>\"person\"<|>\"Tashfeen Riaz is a certified project manager.\")##\n##(\"entity\"<|>\"Juan Carlos Ribero Gómez\"<|>\"person\"<|>\"Juan Carlos Ribero Gómez is a certified project manager.\")##\n##(\"entity\"<|>\"Andre Luis Fonseca Ricardi\"<|>\"person\"<|>\"Andre Luis Fonseca Ricardi is a certified project manager.\")##\n##(\"entity\"<|>\"Fabio Rigamonti\"<|>\"person\"<|>\"Fabio Rigamonti is a certified project manager.\")##\n##(\"entity\"<|>\"Ivan Rincon\"<|>\"person\"<|>\"Ivan Rincon is a certified project manager.\")##\n##(\"entity\"<|>\"Laurajean Rispens\"<|>\"person\"<|>\"Laurajean", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1b356baccb4219147ab50d05d940bea4": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that certifies professionals in project management, as evidenced by the various certifications mentioned in the text.\")##\n(\"entity\"<|>\"Stewart\"<|>\"person\"<|>\"Stewart is a certified project management professional with multiple certifications, indicating expertise in the field.\")##\n(\"entity\"<|>\"Jim Stewart\"<|>\"person\"<|>\"Jim Stewart is a certified Scrum Master with additional certifications, showing his proficiency in agile project management.\")##\n(\"entity\"<|>\"Ian R. Stokes\"<|>\"person\"<|>\"Ian R. Stokes is a certified project management professional with multiple certifications, indicating his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Nathan Subramaniam\"<|>\"person\"<|>\"Nathan Subramaniam is a certified ITIL and TOGAF 9 professional, showing his expertise in IT service management and enterprise architecture.\")##\n(\"entity\"<|>\"Premkumar Subramanian\"<|>\"person\"<|>\"Premkumar Subramanian is a certified project management professional with an MBA, indicating his business acumen and project management skills.\")##\n(\"entity\"<|>\"Yasuji Suzuki\"<|>\"person\"<|>\"Yasuji Suzuki is a certified project management professional with multiple certifications, showing his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Lisa Sweeney\"<|>\"person\"<|>\"Lisa Sweeney is a certified project management professional, indicating her expertise in the field.\")##\n(\"entity\"<|>\"Grzegorz Szalajiko\"<|>\"person\"<|>\"Grzegorz Szalajiko is a person with no clear connection to the project management field.\")##\n(\"entity\"<|>\"Ahmed Taha\"<|>\"person\"<|>\"Ahmed Taha is a certified project management professional with multiple certifications, indicating his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Mohammad Mehdi Tahan\"<|>\"person\"<|>\"Mohammad Mehdi Tahan is a certified project management professional with an MSc, indicating his academic background and project management skills.\")##\n(\"entity\"<|>\"Mohamed Taher Arafa\"<|>\"person\"<|>\"Mohamed Taher Arafa is a certified project management professional with multiple certifications, showing his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Shoji Tajima\"<|>\"person\"<|>\"Shoji Tajima is a certified IT professional with multiple certifications", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3eff6ef46801804179d686404492d0e7": { + "return": "## (\"entity\"<|>\"Stewart\"<|>\"person\"<|>\"Stewart is a certified project management professional with multiple certifications, indicating expertise in the field.\")##\n(\"entity\"<|>\"Jim Stewart\"<|>\"person\"<|>\"Jim Stewart is a certified Scrum Master with additional certifications, showing his proficiency in agile project management.\")##\n(\"entity\"<|>\"Ian R. Stokes\"<|>\"person\"<|>\"Ian R. Stokes is a certified project management professional with multiple certifications, indicating his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Nathan Subramaniam\"<|>\"person\"<|>\"Nathan Subramaniam is a certified ITIL and TOGAF 9 professional, showing his expertise in IT service management and enterprise architecture.\")##\n(\"entity\"<|>\"Premkumar Subramanian\"<|>\"person\"<|>\"Premkumar Subramanian is a certified project management professional with an MBA, indicating his business acumen and project management skills.\")##\n(\"entity\"<|>\"Yasuji Suzuki\"<|>\"person\"<|>\"Yasuji Suzuki is a certified project management professional with multiple certifications, showing his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Lisa Sweeney\"<|>\"person\"<|>\"Lisa Sweeney is a certified project management professional, indicating her expertise in the field.\")##\n(\"entity\"<|>\"Grzegorz Szalajiko\"<|>\"person\"<|>\"Grzegorz Szalajiko is a person with no clear connection to the project management field.\")##\n(\"entity\"<|>\"Ahmed Taha\"<|>\"person\"<|>\"Ahmed Taha is a certified project management professional with multiple certifications, indicating his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Mohammad Mehdi Tahan\"<|>\"person\"<|>\"Mohammad Mehdi Tahan is a certified project management professional with an MSc, indicating his academic background and project management skills.\")##\n(\"entity\"<|>\"Mohamed Taher Arafa\"<|>\"person\"<|>\"Mohamed Taher Arafa is a certified project management professional with multiple certifications, showing his experience and knowledge in the field.\")##\n(\"entity\"<|>\"Shoji Tajima\"<|>\"person\"<|>\"Shoji Tajima is a certified IT professional with multiple certifications.\")##\n(\"entity\"<|>\"Nilton Takagi\"<|>\"person\"<|>\"Nilton Takagi is a certified project management professional with an MSc, indicating his academic background and project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8d8a2ae3fc78f308b29283267f2e73e8": { + "return": "(\"entity\"<|>\"ESEP\"<|>\"organization\"<|>\"ESEP is a organization mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"MSTMCristina Zerpa\"<|>\"person\"<|>\"MSTMCristina Zerpa is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Bin Zhao\"<|>\"person\"<|>\"Bin Zhao is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Fangcun Zhao\"<|>\"person\"<|>\"Fangcun Zhao is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Jutta Edith Zilian, CISA, CISM, CGEIT\"<|>\"person\"<|>\"Jutta Edith Zilian, CISA, CISM, CGEIT is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Priscila Tavares da Sliva Zouback\"<|>\"person\"<|>\"Priscila Tavares da Sliva Zouback is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Alan Zucker, DAC, PMI-ACP, PMP\"<|>\"person\"<|>\"Alan Zucker, DAC, PMI-ACP, PMP is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Marvin Nelson, DBA, SCPM\"<|>\"person\"<|>\"Marvin Nelson, DBA, SCPM is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Danielle Ritter, MLIS, CSPO\"<|>\"person\"<|>\"Danielle Ritter, MLIS, CSPO is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Kim Shinners\"<|>\"person\"<|>\"Kim Shinners is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Roberta Storer\"<|>\"person\"<|>\"Roberta Storer is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Stephen A. Townsend\"<|>\"person\"<|>\"Stephen A", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "cbb1cbc523f8876d12005c6b4a024973": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is a person mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is a technology mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"event\"<|>\"Operation: Dulce is an event mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is an event mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is an event mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control is a concept mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence is a concept mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"X2.2\"<|>\"event\"<|>\"X2.2 is a section mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Section X2.2\"<|>\"event\"<|>\"Section X2.2 is a section mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Sponsor\"<|>\"role\"<|>\"Sponsor is a role mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"role\"<|>\"Project Manager is a role mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is an organization mentioned in the context of the PMI Seventh Edition.\")##\n(\"entity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a9900e17a564ac3ca45a36f10bda494d": { + "return": "(\"entity\"<|>\"GuideX2.5\"<|>\"organization\"<|>\"GuideX2.5 is a document that discusses the role of a sponsor in project management, providing information on how to empower and enable the project team.\")##\n(\"entity\"<|>\"Ahmed, R., Mohamad, N. A. B., & Ahmad, M. S.\"<|>\"person\"<|>\"Ahmed, Mohamad, and Ahmad are researchers who have studied the effect of multidimensional top management support on project success.\")##\n(\"entity\"<|>\"Kloppenborg, T. J., Tesch, D., & Manolis, C.\"<|>\"person\"<|>\"Kloppenborg, Tesch, and Manolis are researchers who have investigated the relationship between project success and executive sponsor behaviors.\")##\n(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"Project Management Institute (PMI) is a professional organization that provides resources and guidance on project management, including the role of the sponsor.\")##\n(\"entity\"<|>\"Zwikael, O.\"<|>\"person\"<|>\"Zwikael is a researcher who has studied top management involvement in project management.\")##\n(\"entity\"<|>\"PMO\"<|>\"organization\"<|>\"PMO stands for Project Management Office, which is a management structure that standardizes project-related governance processes and facilitates the sharing of resources, tools, methodologies, and techniques.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"organization\"<|>\"PMBOK stands for Project Management Body of Knowledge, which is a guide to project management best practices.\")##\n(\"relationship\"<|>\"Ahmed, R., Mohamad, N. A. B., & Ahmad, M. S.\"<|>\"Project Management Institute (PMI)\"<|>\"Ahmed, Mohamad, and Ahmad's research is related to PMI's resources and guidance on project management, specifically the role of the sponsor.\"<|>\"research, professional organization\"<|>7)##\n(\"relationship\"<|>\"Kloppenborg, T. J., Tesch, D., & Manolis, C.\"<|>\"Project Management Institute (PMI)\"<|>\"Kloppenborg, Tesch, and Manolis' research is related to PMI's resources and guidance on project management, specifically the role of the sponsor.\"<|>\"research, professional organization\"<|>7)##\n(\"relationship\"<|>\"Zwikael, O", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9893d2d3c334491ed52cb684786ed450": { + "return": "Here is the updated output with all the identified entities and relationships:\n\n(\"entity\"<|>\"GuideX2.5\"<|>\"organization\"<|>\"GuideX2.5 is a document that discusses the role of a sponsor in project management, providing information on how to empower and enable the project team.\")##\n(\"entity\"<|>\"Ahmed, R., Mohamad, N. A. B., & Ahmad, M. S.\"<|>\"person\"<|>\"Ahmed, Mohamad, and Ahmad are researchers who have studied the effect of multidimensional top management support on project success.\")##\n(\"entity\"<|>\"Kloppenborg, T. J., Tesch, D., & Manolis, C.\"<|>\"person\"<|>\"Kloppenborg, Tesch, and Manolis are researchers who have investigated the relationship between project success and executive sponsor behaviors.\")##\n(\"entity\"<|>\"Project Management Institute (PMI)\"<|>\"organization\"<|>\"Project Management Institute (PMI) is a professional organization that provides resources and guidance on project management, including the role of the sponsor.\")##\n(\"entity\"<|>\"Zwikael, O.\"<|>\"person\"<|>\"Zwikael is a researcher who has studied top management involvement in project management.\")##\n(\"entity\"<|>\"PMO\"<|>\"organization\"<|>\"PMO stands for Project Management Office, which is a management structure that standardizes project-related governance processes and facilitates the sharing of resources, tools, methodologies, and techniques.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"organization\"<|>\"PMBOK stands for Project Management Body of Knowledge, which is a guide to project management best practices.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location that is mentioned as a source of communications.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is a group of individuals who are working on a project.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"organization\"<|>\"Operation: Dulce is a mission or project that is mentioned in the text.\")##\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a person who is mentioned as having latter instincts.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Human", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "599126ccf6fd4585f2b3c05c83844216": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that provides standards and guides for project management, including the role of the PMO.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the author of various standards and guides for project management.\")##\n(\"entity\"<|>\"The PMO\"<|>\"organization\"<|>\"The PMO is a part of an organization that supports project management capabilities and value delivery.\")##\n(\"entity\"<|>\"Project Management Office\"<|>\"organization\"<|>\"Project Management Office is another term for the PMO, which supports project management capabilities and value delivery.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"document\"<|>\"The Standard for Project Management is a document that provides information about the role of the PMO and project management capabilities.\")##\n(\"entity\"<|>\"The Standard for Organizational Project Management\"<|>\"document\"<|>\"The Standard for Organizational Project Management is a document that provides additional information about the role of the PMO.\")##\n(\"entity\"<|>\"The Standard for Portfolio Management\"<|>\"document\"<|>\"The Standard for Portfolio Management is a document that provides information about portfolio management and the PMO.\")##\n(\"entity\"<|>\"The Standard for Program Management\"<|>\"document\"<|>\"The Standard for Program Management is a document that provides information about program management and the PMO.\")##\n(\"entity\"<|>\"The Standard for Business Analysis\"<|>\"document\"<|>\"The Standard for Business Analysis is a document that provides information about business analysis and the PMO.\")##\n(\"entity\"<|>\"The Agile Practice Guide\"<|>\"document\"<|>\"The Agile Practice Guide is a document that provides information about agile project management and the PMO.\")##\n(\"entity\"<|>\"Governance of Portfolios, Programs, and Projects: A Practice Guide\"<|>\"document\"<|>\"Governance of Portfolios, Programs, and Projects: A Practice Guide is a document that provides information about governance and the PMO.\")##\n(\"entity\"<|>\"Strategic Initiative Management: The PMO Imperative\"<|>\"document\"<|>\"Strategic Initiative Management: The PMO Imperative is a document that provides information about strategic initiative management and the PMO.\")##\n(\"relationship\"<|>\"PMI\"<|>\"The PMO\"<|>\"PMI provides standards and guides for the PMO, which supports project management capabilities and value delivery.\"<|>\"standards, project", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "70b47f1a7822b31df9e28187f3e82934": { + "return": "Here are the additional entities extracted:\n\n(\"entity\"<|>\"organizations\"<|>\"organization\"<|>\"Organizations are adopting more decentralized structures where teams need to respond quickly to changing customer needs.\")##\n(\"entity\"<|>\"teams\"<|>\"organization\"<|>\"Teams are part of organizations that need to respond quickly to changing customer needs.\")##\n(\"entity\"<|>\"customers\"<|>\"organization\"<|>\"Customers are a key factor in the changing needs of organizations.\")##\n(\"entity\"<|>\"departments\"<|>\"organization\"<|>\"Departments within organizations may have their own PMOs and VDOs.\")##\n(\"entity\"<|>\"PMOs\"<|>\"organization\"<|>\"PMOs are part of organizations that support project management capabilities and value delivery.\")##\n(\"entity\"<|>\"VDOs\"<|>\"organization\"<|>\"VDOs are part of organizations that support project management capabilities and value delivery.\")##\n(\"entity\"<|>\"project teams\"<|>\"organization\"<|>\"Project teams are part of organizations that deliver projects.\")##\n(\"entity\"<|>\"employees\"<|>\"organization\"<|>\"Employees within organizations need to understand and apply project management skills and competencies.\")##\n(\"entity\"<|>\"contractors\"<|>\"organization\"<|>\"Contractors within organizations need to understand and apply project management skills and competencies.\")##\n(\"entity\"<|>\"partners\"<|>\"organization\"<|>\"Partners within organizations need to understand and apply project management skills and competencies.\")##\n(\"entity\"<|>\"senior management\"<|>\"organization\"<|>\"Senior management within organizations need to understand the performance of projects.\")##\n(\"entity\"<|>\"business leaders\"<|>\"organization\"<|>\"Business leaders within organizations need to understand the performance of projects.\")##\n(\"entity\"<|>\"stakeholders\"<|>\"organization\"<|>\"Stakeholders within organizations need to understand the performance of projects.\")##\n(\"entity\"<|>\"project management capabilities\"<|>\"concept\"<|>\"Project management capabilities are essential for organizations to deliver projects effectively.\")##\n(\"entity\"<|>\"value delivery\"<|>\"concept\"<|>\"Value delivery is a key aspect of project management capabilities.\")##\n(\"entity\"<|>\"strategic initiatives\"<|>\"concept\"<|>\"Strategic initiatives can significantly impact an organization's future.\")##\n(\"entity\"<|>\"business outcomes\"<|>\"concept\"<|>\"Business outcomes are a key focus of project management.\")##\n(\"entity\"<|>\"benefits realization\"<|>\"concept\"<|>\"Benefits realization is a key aspect of", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c5d2dc6b7ddbf68ee7c81edf7fd36d86": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that provides resources and guides for project management practices.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"event\"<|>\"PMI Seventh Edition is a publication of the Project Management Institute, providing information on project management practices.\")##\n(\"entity\"<|>\"Appendix X4\"<|>\"event\"<|>\"Appendix X4 is a part of the PMI Seventh Edition, discussing product development and product management.\")##\n(\"entity\"<|>\"Table X4-1\"<|>\"event\"<|>\"Table X4-1 is a comparison of project and product management views, highlighting differences in focus and metrics.\")##\n(\"entity\"<|>\"Product Management Institute\"<|>\"organization\"<|>\"Product Management Institute is an organization that provides information on product management practices.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to an artifact that is produced, quantifiable, and can be either an end item or a component item.\")##\n(\"entity\"<|>\"Product Management\"<|>\"concept\"<|>\"Product management is the integration of people, data, processes, and business systems to create, maintain, and evolve a product or service throughout its life cycle.\")##\n(\"entity\"<|>\"Product Life Cycle\"<|>\"concept\"<|>\"Product life cycle is a series of phases that represents the evolution of a product, from concept through delivery, growth, maturity, and to retirement.\")##\n(\"entity\"<|>\"Apple iPhone\"<|>\"product\"<|>\"Apple iPhone is a product that has been through multiple versions with future updates.\")##\n(\"entity\"<|>\"Newtown Square, PA\"<|>\"geo\"<|>\"Newtown Square, PA is a location where the Project Management Institute is based.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMI Seventh Edition\"<|>\"The Project Management Institute publishes the PMI Seventh Edition, which provides information on project management practices.\"<|>\"publication, information dissemination\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Appendix X4\"<|>\"The Project Management Institute provides resources and guides for product development and product management through Appendix X4.\"<|>\"resource provision, guidance\"<|>7)##\n(\"relationship\"<|>\"Appendix X4\"<|>\"Table X4-1\"<|>\"Appendix X4 discusses product development and product management, which is compared in Table X4-1.\"<|>\"comparison", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1fa9389a08a3ee9d45122b6db47f0ee4": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Author\"<|>\"person\"<|>\"The Author is an individual who wrote the guide.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal and scope.\")##\n(\"entity\"<|>\"Scope\"<|>\"concept\"<|>\"Scope refers to the boundaries and limitations of a project or product.\")##\n(\"entity\"<|>\"Schedule\"<|>\"concept\"<|>\"Schedule refers to the timeline and deadlines of a project or product.\")##\n(\"entity\"<|>\"Budget\"<|>\"concept\"<|>\"Budget refers to the financial resources allocated for a project or product.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value refers to the benefits and outcomes of a project or product.\")##\n(\"entity\"<|>\"Outputs\"<|>\"concept\"<|>\"Outputs refer to the tangible results of a project or product.\")##\n(\"entity\"<|>\"Outcomes\"<|>\"concept\"<|>\"Outcomes refer to the intangible benefits of a project or product.\")##\n(\"entity\"<|>\"Temporary teams\"<|>\"concept\"<|>\"Temporary teams refer to groups of people assembled for a specific project or task.\")##\n(\"entity\"<|>\"Stable teams\"<|>\"concept\"<|>\"Stable teams refer to long-term groups of people who work together regularly.\")##\n(\"entity\"<|>\"Inception\"<|>\"concept\"<|>\"Inception refers to the beginning of a project or product.\")##\n(\"entity\"<|>\"Retirement\"<|>\"concept\"<|>\"Retirement refers to the end of a project or product.\")##\n(\"entity\"<|>\"Customer Centricity\"<|>\"concept\"<|>\"Customer centricity refers to a business model that prioritizes customer needs and preferences.\")##\n(\"entity\"<|>\"Software-Enhanced Value\"<|>\"concept\"<|>\"Software-enhanced value refers to the benefits provided by software and its capabilities.\")##\n(\"entity\"<|>\"Ongoing Provision and Payment\"<|>\"concept\"<|>\"Ongoing provision and payment refers to a business model where services are delivered continuously and paid for over time.\")##\n(\"entity\"<|>\"Microlending\"<|>\"concept\"<|>\"Microlending refers to the practice of providing small loans to individuals or businesses.\")##\n(\"entity\"<|>\"Funding Models\"<|>\"concept\"<|>\"Funding models refer to the ways in which projects or products are financed.\")##\n(\"entity\"<|>\"Staffing Models", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "a96aab982c4e88273fe36c3b5ebf26c3": { + "return": "Here's the output based on the provided text and entity types:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes guides and frameworks for product management and project management.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"technology\"<|>\"PMBOK is a guide for project management that is referenced in the text.\")##\n(\"entity\"<|>\"Program Management\"<|>\"technology\"<|>\"Program Management is a framework for managing long-running initiatives.\")##\n(\"entity\"<|>\"The Standard for Program Management\"<|>\"technology\"<|>\"The Standard for Program Management is a guide that addresses ongoing priority changes and benefits.\")##\n(\"entity\"<|>\"The Gig Economy\"<|>\"event\"<|>\"The Gig Economy is an event that has led to an increase in start-ups and small businesses.\")##\n(\"entity\"<|>\"The Customer\"<|>\"person\"<|>\"The Customer is a person who is being served by organizations in the product management context.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK\"<|>\"PMI publishes the PMBOK guide, which is a key resource for project management.\")##\n(\"relationship\"<|>\"Program Management\"<|>\"The Standard for Program Management\"<|>\"Program Management is a framework that is addressed in The Standard for Program Management.\")##\n(\"relationship\"<|>\"The Gig Economy\"<|>\"The Customer\"<|>\"The Gig Economy has led to a shift in the way organizations interact with The Customer.\")##\n(\"relationship\"<|>\"The Customer\"<|>\"Program Management\"<|>\"Program Management is focused on delivering value to The Customer.\")##\n(\"relationship\"<|>\"PMBOK\"<|>\"Program Management\"<|>\"PMBOK provides a framework for implementing Program Management.\")##\n(\"content_keywords\"<|>\"product management, program management, customer focus, innovation\")<|COMPLETE|>\n\nNote that the output only includes entities and relationships that are explicitly mentioned in the text. The relationships are based on the context and the entity types provided.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "11f8a4b53d8afde44112e4890ee7aed3": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes guides and frameworks for product management and project management.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"technology\"<|>\"PMBOK is a guide for project management that is referenced in the text.\")##\n(\"entity\"<|>\"Program Management\"<|>\"technology\"<|>\"Program Management is a framework for managing long-running initiatives.\")##\n(\"entity\"<|>\"The Standard for Program Management\"<|>\"technology\"<|>\"The Standard for Program Management is a guide that addresses ongoing priority changes and benefits.\")##\n(\"entity\"<|>\"The Gig Economy\"<|>\"event\"<|>\"The Gig Economy is an event that has led to an increase in start-ups and small businesses.\")##\n(\"entity\"<|>\"The Customer\"<|>\"person\"<|>\"The Customer is a person who is being served by organizations in the product management context.\")##\n(\"entity\"<|>\"Start-ups\"<|>\"organization\"<|>\"Start-ups are small businesses that are part of the gig economy.\")##\n(\"entity\"<|>\"Small Businesses\"<|>\"organization\"<|>\"Small Businesses are part of the gig economy.\")##\n(\"entity\"<|>\"Traditional Product Industries\"<|>\"organization\"<|>\"Traditional Product Industries, such as infrastructure, aerospace, and automotive, use program management guides and frameworks.\")##\n(\"entity\"<|>\"Infrastructure\"<|>\"organization\"<|>\"Infrastructure is a traditional product industry that uses program management guides and frameworks.\")##\n(\"entity\"<|>\"Aerospace\"<|>\"organization\"<|>\"Aerospace is a traditional product industry that uses program management guides and frameworks.\")##\n(\"entity\"<|>\"Automotive\"<|>\"organization\"<|>\"Automotive is a traditional product industry that uses program management guides and frameworks.\")##\n(\"entity\"<|>\"Table X4-2\"<|>\"technology\"<|>\"Table X4-2 is a reference table that compares the characteristics of projects, programs, and products.\")##\n(\"entity\"<|>\"Projects\"<|>\"technology\"<|>\"Projects are temporary endeavors that are part of the product management context.\")##\n(\"entity\"<|>\"Products\"<|>\"technology\"<|>\"Products are deliverables that are part of the product management context.\")##\n(\"entity\"<|>\"Product Owner\"<|>\"person\"<|>\"The Product Owner is a person who is responsible for the product.\")##\n(\"entity\"<|>\"Product Management\"<|>\"technology\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "e526af0f8b307ded2fe149d1f641d84c": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization that has developed and updated The Standard for Project 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"64117375d42e95fc70960ac8d0ec380d": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that develops and publishes project management standards and guides.\")##\n(\"entity\"<|>\"Project Management Principles\"<|>\"concept\"<|>\"Project Management Principles refer to the guiding principles for project management developed by PMI.\")##\n(\"entity\"<|>\"The Standard for Project Management \"<|>\"document\"<|>\"The Standard for Project Management is a document developed by PMI that outlines principles and guidelines for project management.\")##\n(\"entity\"<|>\"Development Team\"<|>\"organization\"<|>\"The Development Team is a group of stakeholders from various industries and roles who worked on developing the PMI standard.\")##\n(\"entity\"<|>\"Review Team 1\"<|>\"organization\"<|>\"Review Team 1 is a group of stakeholders who reviewed and commented on the initial drafts of the PMI standard.\")##\n(\"entity\"<|>\"Review Team 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review.\")##\n(\"entity\"<|>\"February\"<|>\"event\"<|>\"February is a month when the exposure draft was made available for public review.\")##\n(\"relationship\"<|>\"PMI", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "9edb876d1dd7b5159b6d96690ea010ef": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that developed the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"organization\"<|>\"The Standard for Project Management is a principle-based standard developed by PMI.\")##\n(\"entity\"<|>\"The PMBOK Guide\"<|>\"organization\"<|>\"The PMBOK Guide is a guidebook developed by PMI that provides a framework for project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge refers to the knowledge and practices used in project management.\")##\n(\"entity\"<|>\"Glossary\"<|>\"document\"<|>\"The Glossary is a 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Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that developed the PMBOK Guide and the Standard for Project Management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"organization\"<|>\"The Standard for Project Management is a principle-based standard developed by PMI.\")##\n(\"entity\"<|>\"The PMBOK Guide\"<|>\"organization\"<|>\"The PMBOK Guide is a guidebook developed by PMI that provides a framework for project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge refers to the knowledge and practices used in project management.\")##\n(\"entity\"<|>\"Glossary\"<|>\"document\"<|>\"The Glossary is a collection of definitions of terms and acronyms related to project management.\")##\n(\"entity\"<|>\"PMI Seventh Edition\"<|>\"event\"<|>\"PMI Seventh Edition is the latest edition of the PMBOK Guide.\")##\n(\"entity\"<|>\"Definition of 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entities:\n\n(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is an organization that publishes a guide for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide is a guide for project management published by PMI.\")##\n(\"entity\"<|>\"Basis of Estimates\"<|>\"concept\"<|>\"Basis of Estimates is a supporting documentation outlining details used in establishing project estimates.\")##\n(\"entity\"<|>\"Benchmarking\"<|>\"concept\"<|>\"Benchmarking is the comparison of actual or planned products, processes, and practices to those of comparable organizations.\")##\n(\"entity\"<|>\"Benefits Management Plan\"<|>\"concept\"<|>\"Benefits Management Plan is a documented explanation defining processes for creating, maximizing, and sustaining benefits provided by a project or program.\")##\n(\"entity\"<|>\"Bid Documents\"<|>\"concept\"<|>\"Bid Documents are all documents used to solicit information, 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limits.\")##\n(\"entity\"<|>\"Criteria\"<|>\"technology\"<|>\"Criteria are standards, rules, or tests on which a judgment or decision can be based or by which a product, service, result, or process can be evaluated.\")##\n(\"entity\"<|>\"Critical Path\"<|>\"technology\"<|>\"Critical Path is the sequence of activities that represents the longest path through a project, which determines the shortest possible duration.\")##\n(\"entity\"<|>\"Critical Path Method (CPM)\"<|>\"technology\"<|>\"Critical Path Method (CPM) is a method used to estimate the minimum project duration and determine the amount of schedule flexibility on the logical network paths within the schedule model.\")##\n(\"entity\"<|>\"Cumulative Flow Diagram (CFD)\"<|>\"technology\"<|>\"Cumulative Flow Diagram (CFD) is a chart indicating features completed over time, features in other states of development, and those in the backlog.\")##\n(\"entity\"<|>\"Cycle Time\"<|>\"technology\"<|>\"Cycle Time is the total elapsed time 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breakdown structure component, often expressed in hours, days, or weeks.\")##\n(\"entity\"<|>\"Emotional Intelligence\"<|>\"concept\"<|>\"Emotional Intelligence is the ability to identify, assess, and manage the personal emotions of oneself and other people, as well as the collective emotions of groups of people.\")##\n(\"entity\"<|>\"Enterprise Environmental Factors (EEF)\"<|>\"concept\"<|>\"Enterprise Environmental Factors (EEF) are conditions, not under the immediate control of the team, that influence, constrain, or direct the project, program, or portfolio.\")##\n(\"entity\"<|>\"Epic\"<|>\"concept\"<|>\"Epic is a large, related body of work intended to hierarchically organize a set of requirements and deliver specific business outcomes.\")##\n(\"entity\"<|>\"Estimate\"<|>\"concept\"<|>\"Estimate is a quantitative assessment of the likely amount or outcome of a variable, such as project costs, resources, effort, or durations.\")##\n(\"entity\"<|>\"Estimate at Completion (EAC)\"<|>\"concept\"<|>\"Estimate at Completion (EAC) is the expected total cost of completing all work expressed as the sum of the actual cost to date and the estimate to complete.\")##\n(\"entity\"<|>\"Estimate to Complete (ETC)\"<|>\"concept\"<|>\"Estimate to Complete (ETC) is the expected cost to finish all the remaining project work.\")##\n(\"entity\"<|>\"Estimating Methods\"<|>\"concept\"<|>\"Estimating Methods are used to develop an approximation of work, time, or cost on a project.\")##\n(\"entity\"<|>\"Executing Process Group\"<|>\"concept\"<|>\"Executing Process Group is the set of processes performed to complete the work defined in the project management plan to satisfy the project requirements.\")##\n(\"entity\"<|>\"Expected Monetary Value (", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "197d16d0d9d342cd9f45c629adcf36ee": { + "return": "(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is a publication related to project management.\")##\n(\"entity\"<|>\"Glossary\"<|>\"concept\"<|>\"Glossary is a collection of terms and definitions related to project management.\")##\n(\"entity\"<|>\"Grade\"<|>\"concept\"<|>\"Grade is a category or rank used to distinguish items that have the same functional use but do not share the same requirements for quality.\")##\n(\"entity\"<|>\"Hierarchy Chart\"<|>\"concept\"<|>\"Hierarchy Chart is a chart that begins with high-level information that is progressively decomposed into lower levels of detail.\")##\n(\"entity\"<|>\"Histogram\"<|>\"concept\"<|>\"Histogram is a bar chart that shows the graphical representation of numerical data.\")##\n(\"entity\"<|>\"Hybrid Approach\"<|>\"concept\"<|>\"Hybrid Approach is a combination of two or more agile and nonagile elements, having a nonagile end result.\")##\n(\"entity\"<|>\"Impact Mapping\"<|>\"concept\"<|>\"Impact Mapping is a strategic planning method that serves as a visual roadmap for the organization during product development.\")##\n(\"entity\"<|>\"Impediment\"<|>\"concept\"<|>\"Impediment is an obstacle that prevents the team from achieving its objectives, also known as a blocker.\")##\n(\"entity\"<|>\"Incremental Approach\"<|>\"concept\"<|>\"Incremental Approach is an adaptive development approach in which the deliverable is produced successively, adding functionality until the deliverable contains the necessary and sufficient capability to be considered complete.\")##\n(\"entity\"<|>\"Indefinite Delivery Indefinite Quantity (IDIQ)\"<|>\"concept\"<|>\"Indefinite Delivery Indefinite Quantity (IDIQ) is a contract that provides for an indefinite quantity of goods or services, with a stated lower and upper limit, within a fixed time period.\")##\n(\"entity\"<|>\"Influence Diagram\"<|>\"concept\"<|>\"Influence Diagram is a graphical representation of situations showing causal influences, time ordering of events, and other relationships among variables and outcomes.\")##\n(\"entity\"<|>\"Information Radiator\"<|>\"concept\"<|>\"Information Radiator is a visible, physical display that provides information to the rest of the organization, enabling timely knowledge sharing.\")##\n(\"entity\"<|>\"Initiating Process Group\"<|>\"concept\"<|>\"Initiating Process Group is the set of processes performed to define", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c3de82d32454ebb619974cd72ff600fc": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a widely used reference for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference guide for project management, providing a framework for project management best practices.\")##\n(\"entity\"<|>\"Kickoff Meeting\"<|>\"event\"<|>\"Kickoff Meeting is a project event where team members and stakeholders gather to set expectations and commence work.\")##\n(\"entity\"<|>\"Iteration\"<|>\"event\"<|>\"Iteration is a timeboxed cycle of development where all work needed to deliver value is performed.\")##\n(\"entity\"<|>\"Iteration Review\"<|>\"event\"<|>\"Iteration Review is a meeting held at the end of an iteration to demonstrate work accomplished.\")##\n(\"entity\"<|>\"Kanban Board\"<|>\"technology\"<|>\"Kanban Board is a visualization tool that shows work in progress to help identify bottlenecks and optimize workflow.\")##\n(\"entity\"<|>\"Last Responsible Moment\"<|>\"concept\"<|>\"Last Responsible Moment is a concept that defers decisions to allow teams to consider multiple options.\")##\n(\"entity\"<|>\"Lead Time Chart\"<|>\"technology\"<|>\"Lead Time Chart is a diagram showing the trend of average lead time of items completed.\")##\n(\"entity\"<|>\"Lean Startup Canvas\"<|>\"technology\"<|>\"Lean Startup Canvas is a one-page template for communicating business plans.\")##\n(\"entity\"<|>\"Lessons Learned Register\"<|>\"technology\"<|>\"Lessons Learned Register is a project document recording knowledge gained during a project.\")##\n(\"entity\"<|>\"Life Cycle Assessment (LCA)\"<|>\"technology\"<|>\"Life Cycle Assessment is a tool evaluating the total environmental impact of a product.\")##\n(\"entity\"<|>\"Log\"<|>\"technology\"<|>\"Log is a document recording and describing selected items during process execution.\")##\n(\"entity\"<|>\"Make-or-Buy Analysis\"<|>\"technology\"<|>\"Make-or-Buy Analysis is a process gathering data about product requirements and analyzing alternatives.\")##\n(\"entity\"<|>\"Management Reserve\"<|>\"concept\"<|>\"Management Reserve is an amount of project budget or schedule held for unforeseen work.\")##\n(\"entity\"<|>\"Mandatory Dependency\"<|>\"concept\"<|>\"Mandatory Dependency is a relationship required by contract or inherent in work nature.\")##\n(\"entity\"<|>\"Measurement Performance Domain\"<|>\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f6c817401451f692618a2bc66a3cdee2": { + "return": "After re-processing the text, I have identified additional entities. Here is the updated output:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a widely used reference for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a reference guide for project management, providing a framework for project management best practices.\")##\n(\"entity\"<|>\"Kickoff Meeting\"<|>\"event\"<|>\"Kickoff Meeting is a project event where team members and stakeholders gather to set expectations and commence work.\")##\n(\"entity\"<|>\"Iteration\"<|>\"event\"<|>\"Iteration is a timeboxed cycle of development where all work needed to deliver value is performed.\")##\n(\"entity\"<|>\"Iteration Review\"<|>\"event\"<|>\"Iteration Review is a meeting held at the end of an iteration to demonstrate work accomplished.\")##\n(\"entity\"<|>\"Kanban Board\"<|>\"technology\"<|>\"Kanban Board is a visualization tool that shows work in progress to help identify bottlenecks and optimize workflow.\")##\n(\"entity\"<|>\"Last Responsible Moment\"<|>\"concept\"<|>\"Last Responsible Moment is a concept that defers decisions to allow teams to consider multiple options.\")##\n(\"entity\"<|>\"Lead Time Chart\"<|>\"technology\"<|>\"Lead Time Chart is a diagram showing the trend of average lead time of items completed.\")##\n(\"entity\"<|>\"Lean Startup Canvas\"<|>\"technology\"<|>\"Lean Startup Canvas is a one-page template for communicating business plans.\")##\n(\"entity\"<|>\"Lessons Learned Register\"<|>\"technology\"<|>\"Lessons Learned Register is a project document recording knowledge gained during a project.\")##\n(\"entity\"<|>\"Life Cycle Assessment (LCA)\"<|>\"technology\"<|>\"Life Cycle Assessment is a tool evaluating the total environmental impact of a product.\")##\n(\"entity\"<|>\"Log\"<|>\"technology\"<|>\"Log is a document recording and describing selected items during process execution.\")##\n(\"entity\"<|>\"Make-or-Buy Analysis\"<|>\"technology\"<|>\"Make-or-Buy Analysis is a process gathering data about product requirements and analyzing alternatives.\")##\n(\"entity\"<|>\"Management Reserve\"<|>\"concept\"<|>\"Management Reserve is an amount of project budget or schedule held for unforeseen work.\")##\n(\"entity\"<|>\"Mandatory Dependency\"<|>\"concept\"<|>\"Mandatory Dependency is a relationship required by contract", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "baf3789a40b3437b3a9b35825d524aa3": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Glossary\"<|>\"concept\"<|>\"The Glossary is a collection of terms and definitions related to project management.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to an artifact that is produced, is quantifiable, and can be either an end item in itself or a component item.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the application of knowledge, skills, and principles to a project to achieve the project objectives and obtain benefits and control not available by managing project components individually.\")##\n(\"entity\"<|>\"Project Scope\"<|>\"concept\"<|>\"Project Scope refers to the features and functions that characterize a product, service, or result.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the series of phases that a project passes through from its start to its completion.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK)\"<|>\"concept\"<|>\"PMBOK refers to the knowledge within the profession of project management.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Glossary\"<|>\"The PMI publishes the Glossary, which contains terms and definitions related to project management.\"<|>\"organization, publication\"<|>8)##\n(\"relationship\"<|>\"Glossary\"<|>\"Product\"<|>\"The Glossary contains definitions for terms related to products, including Product Scope.\"<|>\"concept, definition\"<|>9)##\n(\"relationship\"<|>\"Product\"<|>\"Project\"<|>\"Product is a result of a project, which is a temporary endeavor undertaken to create a unique product, service, or result.\"<|>\"product, project\"<|>10)##\n(\"relationship\"<|>\"Project\"<|>\"Project Management\"<|>\"Project Management is applied to a project, which is a temporary endeavor undertaken to create a unique product, service, or result.\"<|>\"management, project\"<|>9)##\n(\"relationship\"<|>\"Project Management\"<|>\"Project Scope\"<|>\"Project Management involves managing the scope of a project, which refers to the features and functions that characterize a product, service, or", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7025e902fc2d82c7c2cefc8413ad3aaa": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide.\")##\n(\"entity\"<|>\"Glossary\"<|>\"concept\"<|>\"The Glossary is a collection of terms and definitions related to project management.\")##\n(\"entity\"<|>\"Product\"<|>\"concept\"<|>\"Product refers to an artifact that is produced, is quantifiable, and can be either an end item in itself or a component item.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor undertaken to create a unique product, service, or result.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the application of knowledge, skills, and principles to a project to achieve the project objectives and obtain benefits and control not available by managing project components individually.\")##\n(\"entity\"<|>\"Project Scope\"<|>\"concept\"<|>\"Project Scope refers to the features and functions that characterize a product, service, or result.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"concept\"<|>\"Project Life Cycle refers to the series of phases that a project passes through from its start to its completion.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK)\"<|>\"concept\"<|>\"PMBOK refers to the knowledge within the profession of project management.\")##\n(\"entity\"<|>\"Project Management Office (PMO)\"<|>\"organization\"<|>\"PMO is an organization that oversees and coordinates project management activities.\")##\n(\"entity\"<|>\"Project Calendar\"<|>\"concept\"<|>\"Project Calendar is a calendar that identifies working days and shifts that are available for scheduled activities.\")##\n(\"entity\"<|>\"Project Charter\"<|>\"concept\"<|>\"Project Charter is a document issued by the project initiator or sponsor that formally authorizes the existence of a project and provides the project manager with the authority to apply organizational resources to project activities.\")##\n(\"entity\"<|>\"Project Governance\"<|>\"concept\"<|>\"Project Governance refers to the framework, functions, and processes that guide project management activities in order to create a unique product, service, or result to meet organizational, strategic, and operational goals.\")##\n(\"entity\"<|>\"Project Lead\"<|>\"concept\"<|>\"Project Lead is a person who helps the project team to achieve the project objectives, typically by orchestrating the work of the project.\")##\n(\"entity\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7fb3b907876017029a37b507b1a48b74": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the Project Management Body of Knowledge (PMBOK) guide.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge (PMBOK)\"<|>\"organization\"<|>\"PMBOK is a term that describes the knowledge within the profession of project management.\")##\n(\"entity\"<|>\"Project Management Office (PMO)\"<|>\"organization\"<|>\"PMO is a management structure that standardizes the project-related governance processes and facilitates the sharing of resources, methodologies, tools, and techniques.\")##\n(\"entity\"<|>\"Project Manager\"<|>\"person\"<|>\"A Project Manager is the person assigned by the performing organization to lead the team that is responsible for achieving the project objectives.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"A Project Team is a set of individuals performing the work of the project to achieve its objectives.\")##\n(\"entity\"<|>\"Project Life Cycle\"<|>\"event\"<|>\"Project Life Cycle is the series of phases that a project passes through from its start to its completion.\")##\n(\"entity\"<|>\"Project Management Plan\"<|>\"document\"<|>\"A Project Management Plan is the document that describes how the project will be executed, monitored and controlled, and closed.\")##\n(\"entity\"<|>\"Project Schedule\"<|>\"document\"<|>\"A Project Schedule is an output of a schedule model that presents linked activities with planned dates, durations, milestones, and resources.\")##\n(\"entity\"<|>\"Project Scope\"<|>\"document\"<|>\"Project Scope is the work performed to deliver a product, service, or result with the specified features and functions.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Body of Knowledge (PMBOK)\"<|>\"PMI publishes the PMBOK guide, which describes the knowledge within the profession of project management.\"<|>\"publication, knowledge sharing\"<|>9)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Team\"<|>\"A Project Manager leads the team responsible for achieving the project objectives.\"<|>\"leadership, team management\"<|>8)##\n(\"relationship\"<|>\"Project Manager\"<|>\"Project Management Plan\"<|>\"A Project Manager is responsible for executing, monitoring, and controlling the project according to the plan.\"<|>\"project execution, planning\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Project Life Cycle\"<|>\"A Project Team passes through", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "740245334781ec36b3d886ce6eabbe21": { + "return": "(\"entity\"<|>\"Project Management Process Group\"<|>\"concept\"<|>\"A Project Management Process Group is a logical grouping of project management inputs, tools, and techniques, and outputs.\")##\n(\"entity\"<|>\"Initiating processes\"<|>\"event\"<|>\"Initiating processes are part of the Project Management Process Group.\")##\n(\"entity\"<|>\"Planning processes\"<|>\"event\"<|>\"Planning processes are part of the Project Management Process Group.\")##\n(\"entity\"<|>\"Executing processes\"<|>\"event\"<|>\"Executing processes are part of the Project Management Process Group.\")##\n(\"entity\"<|>\"Monitoring and Controlling processes\"<|>\"event\"<|>\"Monitoring and Controlling processes are part of the Project Management Process Group.\")##\n(\"entity\"<|>\"Closing processes\"<|>\"event\"<|>\"Closing processes are part of the Project Management Process Group.\")##\n(\"entity\"<|>\"Project Review\"<|>\"event\"<|>\"A Project Review is an event at the end of a phase or project to assess the status, evaluate the value delivered, and determine if the project is ready to move to the next phase or transition to operations.\")##\n(\"entity\"<|>\"Project Schedule Network Diagram\"<|>\"document\"<|>\"A Project Schedule Network Diagram is a graphical representation of the logical relationships among the project schedule activities.\")##\n(\"entity\"<|>\"Project Scope Statement\"<|>\"document\"<|>\"A Project Scope Statement is the description of the project scope, major deliverables, and exclusions.\")##\n(\"entity\"<|>\"Project Vision Statement\"<|>\"document\"<|>\"A Project Vision Statement is a concise, high-level description of the project that states the purpose and inspires the team to contribute to the project.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"The Project Work Performance Domain addresses activities and functions associated with establishing project processes, managing physical resources, and fostering a learning environment.\")##\n(\"entity\"<|>\"Prototype\"<|>\"document\"<|>\"A Prototype is a working model used to obtain early feedback on the expected product before actually building it.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality is the degree to which a set of inherent characteristics fulfills requirements.\")##\n(\"entity\"<|>\"Quality Management Plan\"<|>\"document\"<|>\"A Quality Management Plan is a component of the project or program management plan that describes how applicable policies, procedures, and guidelines will be implemented to achieve the quality objectives.\")##\n(\"entity\"<|>\"Quality Metrics\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2b6943bd0eed91358c2b5fc9e3ebb0ec": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which contains various project management concepts and terms.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that can impact project objectives.\")##\n(\"entity\"<|>\"Risk Register\"<|>\"concept\"<|>\"Risk Register is a repository for recording outputs of risk management processes.\")##\n(\"entity\"<|>\"Risk Management Plan\"<|>\"concept\"<|>\"Risk Management Plan is a component of the project management plan that describes how risk management activities will be structured and performed.\")##\n(\"entity\"<|>\"Retrospective\"<|>\"event\"<|>\"Retrospective is a workshop where participants explore their work and results to improve both process and product.\")##\n(\"entity\"<|>\"Risk Review\"<|>\"event\"<|>\"Risk Review is the process of analyzing the status of existing risks and identifying new risks.\")##\n(\"entity\"<|>\"Risk Report\"<|>\"concept\"<|>\"Risk Report is a document that summarizes information on individual project risks and the level of overall project risk.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Risk Management Plan\"<|>\"PMI publishes the PMBOK Guide, which includes information on Risk Management Plans.\"<|>\"publication, project management\"<|>9)##\n(\"relationship\"<|>\"Risk\"<|>\"Risk Register\"<|>\"Risk Register is used to record information on risks, which are uncertain events or conditions that can impact project objectives.\"<|>\"risk management, documentation\"<|>8)##\n(\"relationship\"<|>\"Risk Management Plan\"<|>\"Risk Register\"<|>\"Risk Management Plan describes how risk management activities will be structured and performed, and Risk Register is a tool used to record risk information.\"<|>\"planning, documentation\"<|>9)##\n(\"relationship\"<|>\"Risk Management Plan\"<|>\"Risk Review\"<|>\"Risk Review is a process that is part of Risk Management Plan, which describes how risk management activities will be structured and performed.\"<|>\"planning, review\"<|>7)##\n(\"relationship\"<|>\"Risk Management Plan\"<|>\"Risk Report\"<|>\"Risk Report is a document that summarizes information on individual project risks and the level of overall project risk, as described in Risk Management Plan.\"<|>\"reporting, risk management\"<|>8)##\n(\"content_keywords\"<|>\"risk management, project management, planning, documentation, reporting\")<|COMPLETE", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1f38d74ccaa077a946b3f1d90916f160": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, which contains various project management concepts and terms.\")##\n(\"entity\"<|>\"Risk\"<|>\"concept\"<|>\"Risk refers to an uncertain event or condition that can impact project objectives.\")##\n(\"entity\"<|>\"Risk Register\"<|>\"concept\"<|>\"Risk Register is a repository for recording outputs of risk management processes.\")##\n(\"entity\"<|>\"Risk Management Plan\"<|>\"concept\"<|>\"Risk Management Plan is a component of the project management plan that describes how risk management activities will be structured and performed.\")##\n(\"entity\"<|>\"Retrospective\"<|>\"event\"<|>\"Retrospective is a workshop where participants explore their work and results to improve both process and product.\")##\n(\"entity\"<|>\"Risk Review\"<|>\"event\"<|>\"Risk Review is the process of analyzing the status of existing risks and identifying new risks.\")##\n(\"entity\"<|>\"Risk Report\"<|>\"concept\"<|>\"Risk Report is a document that summarizes information on individual project risks and the level of overall project risk.\")##\n(\"entity\"<|>\"Risk Acceptance\"<|>\"concept\"<|>\"Risk Acceptance is a risk response strategy where the project team decides to acknowledge the risk and not take any action unless the risk occurs.\")##\n(\"entity\"<|>\"Risk Avoidance\"<|>\"concept\"<|>\"Risk Avoidance is a risk response strategy where the project team acts to eliminate the threat or protect the project from its impact.\")##\n(\"entity\"<|>\"Risk Enhancement\"<|>\"concept\"<|>\"Risk Enhancement is a risk response strategy where the project team acts to increase the probability of occurrence or impact of an opportunity.\")##\n(\"entity\"<|>\"Risk Escalation\"<|>\"concept\"<|>\"Risk Escalation is a risk response strategy where the team acknowledges that a risk is outside of its sphere of influence and shifts the ownership of the risk to a higher level of the organization where it is more effectively managed.\")##\n(\"entity\"<|>\"Risk Exploiting\"<|>\"concept\"<|>\"Risk Exploiting is a risk response strategy where the project team acts to ensure that an opportunity occurs.\")##\n(\"entity\"<|>\"Risk Exposure\"<|>\"concept\"<|>\"Risk Exposure is an aggregate measure of the potential impact of all risks at any given point in time in a project, program, or portfolio.\")##\n(\"entity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ef04e768eb842505fe2761583a75fa2a": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that publishes the PMBOK Guide and other project management resources.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI that outlines project management best practices.\")##\n(\"entity\"<|>\"Scope Management Plan\"<|>\"document\"<|>\"Scope Management Plan is a component of the project management plan that describes how scope will be defined, developed, monitored, controlled, and validated.\")##\n(\"entity\"<|>\"S-Curve\"<|>\"graph\"<|>\"S-Curve is a graph that displays cumulative costs over a specified period of time.\")##\n(\"entity\"<|>\"Self-Organizing Team\"<|>\"concept\"<|>\"Self-Organizing Team is a cross-functional team in which people assume leadership as needed to achieve the team's objectives.\")##\n(\"entity\"<|>\"Sensitivity Analysis\"<|>\"analysis method\"<|>\"Sensitivity Analysis is an analysis method to determine which individual project risks or other sources of uncertainty have the most potential impact on project outcomes.\")##\n(\"entity\"<|>\"Servant Leadership\"<|>\"concept\"<|>\"Servant Leadership is the practice of leading the team by focusing on understanding and addressing the needs and development of team members to enable the highest possible team performance.\")##\n(\"entity\"<|>\"Simulation\"<|>\"analysis method\"<|>\"Simulation is an analytical method that models the combined effect of uncertainties to evaluate their potential impact on objectives.\")##\n(\"entity\"<|>\"Single-Point Estimating\"<|>\"estimating method\"<|>\"Single-Point Estimating is an estimating method that involves using data to calculate a single value which reflects a best guess estimate.\")##\n(\"entity\"<|>\"Specification\"<|>\"document\"<|>\"Specification is a precise statement of the needs to be satisfied and the essential characteristics that are required.\")##\n(\"entity\"<|>\"Sponsor\"<|>\"role\"<|>\"Sponsor is a person or group who provides resources and support for the project, program, or portfolio and is accountable for enabling success.\")##\n(\"entity\"<|>\"Sprint\"<|>\"concept\"<|>\"Sprint is a short time interval within a project during which a usable and potentially releasable increment of the product is created.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"role\"<|>\"Stakeholder is an individual, group, or organization that may affect, be affected by, or perceive itself to", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "74dbc8f2dc80d78bc5f501312c990b35": { + "return": "(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is not mentioned in the provided text.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is not mentioned in the provided text.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is not mentioned in the provided text.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is not mentioned in the provided text.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is not mentioned in the provided text.\")##\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is mentioned as a location where communications are being received.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission.\")##\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a member of the team.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Project Management Plan\"<|>\"document\"<|>\"Project Management Plan is a document that outlines how a project will be managed.\")##\n(\"entity\"<|>\"Glossary\"<|>\"document\"<|>\"Glossary is a document that defines terms and concepts used in a particular field.\")##\n(\"entity\"<|>\"Strategic Plan\"<|>\"document\"<|>\"Strategic Plan is a high-level document that explains an organization's vision and mission.\")##\n(\"entity\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "bfab3f8a23ddbdb83f8bdf765d6f94e1": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guidebook on project management, the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"mission\"<|>\"PMBOK Guide is a guidebook on project management, published by PMI.\")##\n(\"entity\"<|>\"Time and Materials Contract (T&M)\"<|>\"concept\"<|>\"Time and Materials Contract (T&M) is a type of contract that is a hybrid of cost-reimbursable and fixed-price contracts.\")##\n(\"entity\"<|>\"Timebox\"<|>\"concept\"<|>\"Timebox is a short, fixed period of time in which work is to be completed.\")##\n(\"entity\"<|>\"Tolerance\"<|>\"concept\"<|>\"Tolerance is the quantified description of acceptable variation for a quality requirement.\")##\n(\"entity\"<|>\"Trend Analysis\"<|>\"concept\"<|>\"Trend Analysis is an analytical method that uses mathematical models to forecast future outcomes based on historical results.\")##\n(\"entity\"<|>\"Triple Bottom Line\"<|>\"concept\"<|>\"Triple Bottom Line is a framework for considering the full cost of doing business by evaluating a company’s bottom line from the perspective of profit, people, and the planet.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is a lack of understanding and awareness of issues, events, path to follow, or solutions to pursue.\")##\n(\"entity\"<|>\"Uncertainty Domain\"<|>\"concept\"<|>\"Uncertainty Domain is the performance domain that addresses activities and functions associated with risk and uncertainty.\")##\n(\"entity\"<|>\"Use Case\"<|>\"concept\"<|>\"Use Case is an artifact for describing and exploring how a user interacts with a system to achieve a specific goal.\")##\n(\"entity\"<|>\"User Story\"<|>\"concept\"<|>\"User Story is a brief description of an outcome for a specific user, which is a promise for a conversation to clarify details.\")##\n(\"entity\"<|>\"Validation\"<|>\"concept\"<|>\"Validation is the assurance that a product, service, or result meets the needs of the customer and other identified stakeholders.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value is the worth, importance, or usefulness of something.\")##\n(\"entity\"<|>\"Value Delivery Office (VDO)\"<|>\"organization\"<|>\"Value Delivery Office (VDO) is a project delivery support structure that focuses", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "24cdba34e4b46370a0199a2a67a3062e": { + "return": "Here is the updated list of entities:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guidebook on project management, the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"mission\"<|>\"PMBOK Guide is a guidebook on project management, published by PMI.\")##\n(\"entity\"<|>\"Time and Materials Contract (T&M)\"<|>\"concept\"<|>\"Time and Materials Contract (T&M) is a type of contract that is a hybrid of cost-reimbursable and fixed-price contracts.\")##\n(\"entity\"<|>\"Timebox\"<|>\"concept\"<|>\"Timebox is a short, fixed period of time in which work is to be completed.\")##\n(\"entity\"<|>\"Tolerance\"<|>\"concept\"<|>\"Tolerance is the quantified description of acceptable variation for a quality requirement.\")##\n(\"entity\"<|>\"Trend Analysis\"<|>\"concept\"<|>\"Trend Analysis is an analytical method that uses mathematical models to forecast future outcomes based on historical results.\")##\n(\"entity\"<|>\"Triple Bottom Line\"<|>\"concept\"<|>\"Triple Bottom Line is a framework for considering the full cost of doing business by evaluating a company’s bottom line from the perspective of profit, people, and the planet.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty is a lack of understanding and awareness of issues, events, path to follow, or solutions to pursue.\")##\n(\"entity\"<|>\"Uncertainty Domain\"<|>\"concept\"<|>\"Uncertainty Domain is the performance domain that addresses activities and functions associated with risk and uncertainty.\")##\n(\"entity\"<|>\"Use Case\"<|>\"concept\"<|>\"Use Case is an artifact for describing and exploring how a user interacts with a system to achieve a specific goal.\")##\n(\"entity\"<|>\"User Story\"<|>\"concept\"<|>\"User Story is a brief description of an outcome for a specific user, which is a promise for a conversation to clarify details.\")##\n(\"entity\"<|>\"Validation\"<|>\"concept\"<|>\"Validation is the assurance that a product, service, or result meets the needs of the customer and other identified stakeholders.\")##\n(\"entity\"<|>\"Value\"<|>\"concept\"<|>\"Value is the worth, importance, or usefulness of something.\")##\n(\"entity\"<|>\"Value Delivery Office (VDO)\"<|>\"organization\"<|>\"Value Delivery Office (VDO)", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "63d42b968282b414594519c894f3a933": { + "return": "(\"entity\"<|>\"Agile Center of Excellence (ACoE)\"<|>\"organization\"<|>\"Agile Center of Excellence (ACoE) is a group that promotes Agile methodologies and best practices.\")##\n(\"entity\"<|>\"Agile charter\"<|>\"event\"<|>\"Agile charter is a document that outlines the principles and practices of Agile.\")##\n(\"entity\"<|>\"38\"<|>\"geo\"<|>\"38 is a reference to the Agile Center of Excellence (ACoE).\")##\n(\"entity\"<|>\"212\"<|>\"geo\"<|>\"212 is a reference to the Agile charter.\")##\n(\"entity\"<|>\"84\"<|>\"geo\"<|>\"84 is a reference to Agile methods.\")##\n(\"entity\"<|>\"Agreements\"<|>\"concept\"<|>\"Agreements refer to contracts and service level agreements.\")##\n(\"entity\"<|>\"Contract(s)\"<|>\"concept\"<|>\"Contract(s) refer to legally binding agreements.\")##\n(\"entity\"<|>\"Service level agreement\"<|>\"concept\"<|>\"Service level agreement refers to a contract between a service provider and a customer.\")##\n(\"entity\"<|>\"Alignment\"<|>\"concept\"<|>\"Alignment refers to the process of aligning project goals with organizational goals.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a process of planning and executing a project.\")##\n(\"entity\"<|>\"Alternatives analysis\"<|>\"concept\"<|>\"Alternatives analysis is a process of evaluating different options.\")##\n(\"entity\"<|>\"Ambiguity\"<|>\"concept\"<|>\"Ambiguity refers to uncertainty or unclear situations.\")##\n(\"entity\"<|>\"definition\"<|>\"concept\"<|>\"definition refers to a clear explanation of a concept.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain is a process of managing uncertainty.\")##\n(\"entity\"<|>\"Analogous estimating\"<|>\"concept\"<|>\"Analogous estimating is a method of estimating project costs.\")##\n(\"entity\"<|>\"Analytical techniques\"<|>\"concept\"<|>\"Analytical techniques refer to methods of analyzing data.\")##\n(\"entity\"<|>\"Appraisal costs\"<|>\"concept\"<|>\"Appraisal costs refer to the cost of evaluating a project.\")##\n(\"entity\"<|>\"Approach, win-win perspective and\"<|>\"concept\"<|>\"Approach, win-win perspective and refers to a collaborative approach to project management.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "002ee99bc3e0da32fc240c4528545fa9": { + "return": "(\"entity\"<|>\"Agile Center of Excellence (ACoE)\"<|>\"organization\"<|>\"Agile Center of Excellence (ACoE) is a group that promotes Agile methodologies and best practices.\")##\n(\"entity\"<|>\"Agile charter\"<|>\"event\"<|>\"Agile charter is a document that outlines the principles and practices of Agile.\")##\n(\"entity\"<|>\"38\"<|>\"geo\"<|>\"38 is a reference to the Agile Center of Excellence (ACoE).\")##\n(\"entity\"<|>\"212\"<|>\"geo\"<|>\"212 is a reference to the Agile charter.\")##\n(\"entity\"<|>\"84\"<|>\"geo\"<|>\"84 is a reference to Agile methods.\")##\n(\"entity\"<|>\"Agreements\"<|>\"concept\"<|>\"Agreements refer to contracts and service level agreements.\")##\n(\"entity\"<|>\"Contract(s)\"<|>\"concept\"<|>\"Contract(s) refer to legally binding agreements.\")##\n(\"entity\"<|>\"Service level agreement\"<|>\"concept\"<|>\"Service level agreement refers to a contract between a service provider and a customer.\")##\n(\"entity\"<|>\"Alignment\"<|>\"concept\"<|>\"Alignment refers to the process of aligning project goals with organizational goals.\")##\n(\"entity\"<|>\"Planning Performance Domain\"<|>\"concept\"<|>\"Planning Performance Domain is a process of planning and executing a project.\")##\n(\"entity\"<|>\"Alternatives analysis\"<|>\"concept\"<|>\"Alternatives analysis is a process of evaluating different options.\")##\n(\"entity\"<|>\"Ambiguity\"<|>\"concept\"<|>\"Ambiguity refers to uncertainty or unclear situations.\")##\n(\"entity\"<|>\"definition\"<|>\"concept\"<|>\"definition refers to a clear explanation of a concept.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain is a process of managing uncertainty.\")##\n(\"entity\"<|>\"Analogous estimating\"<|>\"concept\"<|>\"Analogous estimating is a method of estimating project costs.\")##\n(\"entity\"<|>\"Analytical techniques\"<|>\"concept\"<|>\"Analytical techniques refer to methods of analyzing data.\")##\n(\"entity\"<|>\"Appraisal costs\"<|>\"concept\"<|>\"Appraisal costs refer to the cost of evaluating a project.\")##\n(\"entity\"<|>\"Approach, win-win perspective and\"<|>\"concept\"<|>\"Approach, win-win perspective and refers to a collaborative approach to project management.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7a658081d241f0b6f9c19f9f11d3dd13": { + "return": "Here is the output for the given text and entity types:\n\n(\"entity\"<|>\"Domain\"<|>\"concept\"<|>\"Domain refers to a broad area of knowledge or interest.\")##\n(\"entity\"<|>\"Checklists\"<|>\"concept\"<|>\"Checklists are tools used for documentation and organization.\")##\n(\"entity\"<|>\"Check sheet\"<|>\"concept\"<|>\"Check sheet is a type of checklist used for quality control.\")##\n(\"entity\"<|>\"Close phase\"<|>\"event\"<|>\"Close phase is a stage in the project management process.\")##\n(\"entity\"<|>\"Closing Process Group\"<|>\"event\"<|>\"Closing Process Group is a stage in the project management process.\")##\n(\"entity\"<|>\"Collaboration\"<|>\"concept\"<|>\"Collaboration refers to the act of working together.\")##\n(\"entity\"<|>\"distributed project teams\"<|>\"organization\"<|>\"Distributed project teams are teams that work remotely.\")##\n(\"entity\"<|>\"high-performing project teams\"<|>\"organization\"<|>\"High-performing project teams are teams that achieve high levels of success.\")##\n(\"entity\"<|>\"Colocated teams\"<|>\"organization\"<|>\"Colocated teams are teams that work in the same physical location.\")##\n(\"entity\"<|>\"Combined burn chart\"<|>\"concept\"<|>\"Combined burn chart is a type of chart used for project management.\")##\n(\"entity\"<|>\"Common situations\"<|>\"concept\"<|>\"Common situations refer to typical scenarios in project management.\")##\n(\"entity\"<|>\"tailoring and\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting a process to fit a specific situation.\")##\n(\"entity\"<|>\"Communication\"<|>\"concept\"<|>\"Communication refers to the exchange of information.\")##\n(\"entity\"<|>\"channels\"<|>\"concept\"<|>\"Channels refer to the methods used for communication.\")##\n(\"entity\"<|>\"conversation\"<|>\"concept\"<|>\"Conversation refers to a two-way exchange of information.\")##\n(\"entity\"<|>\"cross-cultural\"<|>\"concept\"<|>\"Cross-cultural refers to communication between people from different cultures.\")##\n(\"entity\"<|>\"discourse\"<|>\"concept\"<|>\"Discourse refers to a conversation or exchange of ideas.\")##\n(\"entity\"<|>\"engagement and\"<|>\"concept\"<|>\"Engagement refers to the level of involvement or participation.\")##\n(\"entity\"<|>\"high-performing project teams and\"<|>\"concept\"<|>\"High", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "8573399883ea4a5ddbb9b43175755587": { + "return": "Here is the updated output with the additional entities:\n\n(\"entity\"<|>\"Domain\"<|>\"concept\"<|>\"Domain refers to a broad area of knowledge or interest.\")##\n(\"entity\"<|>\"Checklists\"<|>\"concept\"<|>\"Checklists are tools used for documentation and organization.\")##\n(\"entity\"<|>\"Check sheet\"<|>\"concept\"<|>\"Check sheet is a type of checklist used for quality control.\")##\n(\"entity\"<|>\"Close phase\"<|>\"event\"<|>\"Close phase is a stage in the project management process.\")##\n(\"entity\"<|>\"Closing Process Group\"<|>\"event\"<|>\"Closing Process Group is a stage in the project management process.\")##\n(\"entity\"<|>\"Collaboration\"<|>\"concept\"<|>\"Collaboration refers to the act of working together.\")##\n(\"entity\"<|>\"distributed project teams\"<|>\"organization\"<|>\"Distributed project teams are teams that work remotely.\")##\n(\"entity\"<|>\"high-performing project teams\"<|>\"organization\"<|>\"High-performing project teams are teams that achieve high levels of success.\")##\n(\"entity\"<|>\"Colocated teams\"<|>\"organization\"<|>\"Colocated teams are teams that work in the same physical location.\")##\n(\"entity\"<|>\"Combined burn chart\"<|>\"concept\"<|>\"Combined burn chart is a type of chart used for project management.\")##\n(\"entity\"<|>\"Common situations\"<|>\"concept\"<|>\"Common situations refer to typical scenarios in project management.\")##\n(\"entity\"<|>\"tailoring and\"<|>\"concept\"<|>\"Tailoring refers to the process of adapting a process to fit a specific situation.\")##\n(\"entity\"<|>\"Communication\"<|>\"concept\"<|>\"Communication refers to the exchange of information.\")##\n(\"entity\"<|>\"channels\"<|>\"concept\"<|>\"Channels refer to the methods used for communication.\")##\n(\"entity\"<|>\"conversation\"<|>\"concept\"<|>\"Conversation refers to a two-way exchange of information.\")##\n(\"entity\"<|>\"cross-cultural\"<|>\"concept\"<|>\"Cross-cultural refers to communication between people from different cultures.\")##\n(\"entity\"<|>\"discourse\"<|>\"concept\"<|>\"Discourse refers to a conversation or exchange of ideas.\")##\n(\"entity\"<|>\"engagement and\"<|>\"concept\"<|>\"Engagement refers to the level of involvement or participation.\")##\n(\"entity\"<|>\"high-performing project teams and\"<|>\"concept\"<|>\"High-performing", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "adcbbfec8b85275d7b412fc6dfe7bc2c": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes a guide for project management, the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document that outlines project management best practices.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"Project Work Performance Domain is a concept that deals with the actual work of the project.\")##\n(\"entity\"<|>\"Project performance domains\"<|>\"concept\"<|>\"Project performance domains are concepts that describe different aspects of project management.\")##\n(\"entity\"<|>\"Stakeholder engagement\"<|>\"concept\"<|>\"Stakeholder engagement is a concept that involves communicating and interacting with stakeholders.\")##\n(\"entity\"<|>\"Engagement\"<|>\"concept\"<|>\"Engagement is a concept that refers to the level of involvement and commitment from stakeholders.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring is a concept that involves adapting project management practices to specific project needs.\")##\n(\"entity\"<|>\"Project management office (PMO)<|>\"organization\"<|>\"Project management office (PMO) is an organization that supports project management within an enterprise.\")##\n(\"entity\"<|>\"Enterprise-level PMO (EPMO)<|>\"organization\"<|>\"Enterprise-level PMO (EPMO) is a type of PMO that operates at the enterprise level.\")##\n(\"entity\"<|>\"Deliverable(s)<|>\"concept\"<|>\"Deliverables are the tangible or intangible products or services that a project produces.\")##\n(\"entity\"<|>\"Development life cycle\"<|>\"concept\"<|>\"Development life cycle is a concept that describes the stages of a project's development.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, which outlines project management best practices.\"<|>\"publication, guidelines\"<|>9)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Work Performance Domain\"<|>\"The PMBOK Guide deals with the Project Work Performance Domain, which is a key aspect of project management.\"<|>\"project management, performance\"<|>8)##\n(\"relationship\"<|>\"Project Work Performance Domain\"<|>\"Project performance domains\"<|>\"The Project Work Performance Domain is one of the project performance domains.\"<|>\"performance, project management\"<|>7)##\n(\"relationship\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c299ea9b239f0c484eeb6140f39448e1": { + "return": "Here are the additional entities extracted from the text:\n\n(\"entity\"<|>\"Basis of estimates\"<|>\"concept\"<|>\"Basis of estimates refers to the basis on which estimates are made.\")##\n(\"entity\"<|>\"Estimate(s)<|>\"concept\"<|>\"Estimate(s) refers to the process of estimating the cost, time, or resources required for a project.\")##\n(\"entity\"<|>\"Analogous estimate\"<|>\"concept\"<|>\"Analogous estimate is a type of estimate that uses historical data from similar projects.\")##\n(\"entity\"<|>\"Parametric estimate\"<|>\"concept\"<|>\"Parametric estimate is a type of estimate that uses mathematical models to estimate costs or resources.\")##\n(\"entity\"<|>\"Definition of done (DoD)<|>\"concept\"<|>\"Definition of done (DoD) refers to the criteria that must be met for a project task to be considered complete.\")##\n(\"entity\"<|>\"Hybrid approach\"<|>\"concept\"<|>\"Hybrid approach is a development approach that combines different methodologies or techniques.\")##\n(\"entity\"<|>\"Incremental development\"<|>\"concept\"<|>\"Incremental development is a development approach that involves breaking down a project into smaller, manageable chunks.\")##\n(\"entity\"<|>\"Iterative development\"<|>\"concept\"<|>\"Iterative development is a development approach that involves repeating cycles of planning, designing, and testing.\")##\n(\"entity\"<|>\"Predictive approach\"<|>\"concept\"<|>\"Predictive approach is a development approach that involves making predictions about the project's outcome.\")##\n(\"entity\"<|>\"Spectrum view of development approaches\"<|>\"concept\"<|>\"Spectrum view of development approaches refers to the idea that different development approaches can be placed on a spectrum from predictive to adaptive.\")##\n(\"entity\"<|>\"Development phase\"<|>\"concept\"<|>\"Development phase refers to the stage of the project life cycle where the project is being developed.\")##\n(\"entity\"<|>\"DevOps approach\"<|>\"concept\"<|>\"DevOps approach refers to the practice of combining software development and operations to improve the speed and quality of software releases.\")##\n(\"entity\"<|>\"Diagnostics\"<|>\"concept\"<|>\"Diagnostics refers to the process of identifying and analyzing problems or issues.\")##\n(\"entity\"<|>\"Tailoring and diagnostics\"<|>\"concept\"<|>\"Tailoring and diagnostics refers to the process of adapting project management practices to specific project needs and identifying and analyzing problems or issues.\")##\n(\"entity", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "0e536a91669f0e8bb7801740cdd19ef4": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is the organization that published the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge is a guide for project management practices.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to an endeavor with specific goals and objectives.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the application of knowledge, skills, tools, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"concept\"<|>\"Project Work Performance Domain refers to the performance of project work.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"concept\"<|>\"Stakeholder Performance Domain refers to the performance of stakeholders.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"concept\"<|>\"Team Performance Domain refers to the performance of team members.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain refers to the management of uncertainty in projects.\")##\n(\"entity\"<|>\"Expert Judgment\"<|>\"concept\"<|>\"Expert Judgment refers to the use of expert knowledge and experience in decision-making.\")##\n(\"entity\"<|>\"Development Approach and Life Cycle Performance Domain\"<|>\"concept\"<|>\"Development Approach and Life Cycle Performance Domain refers to the performance of development approaches and life cycles.\")##\n(\"entity\"<|>\"Delivery Performance Domain\"<|>\"concept\"<|>\"Delivery Performance Domain refers to the performance of delivery.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management\"<|>\"PMI is the organization that published the guide for project management practices.\"<|>\"organization, knowledge management\"<|>9)##\n(\"relationship\"<|>\"Project Management\"<|>\"Project Work Performance Domain\"<|>\"Project Management applies to the performance of project work.\"<|>\"application, performance\"<|>8)##\n(\"relationship\"<|>\"Project Management\"<|>\"Stakeholder Performance Domain\"<|>\"Project Management considers the performance of stakeholders.\"<|>\"consideration, stakeholders\"<|>7)##\n(\"relationship\"<|>\"Project Management\"<|>\"Team Performance Domain\"<|>\"Project Management involves the performance of team members.\"<|>\"involvement, team performance\"<|>6)##\n(\"relationship\"<|>\"Project Management\"<|>\"Uncertainty Performance Domain\"<|>\"Project Management manages uncertainty in projects.\"<|>\"management", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "c177a9dbd4ffb1d60ba63f0e5e8da732": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is the organization that published the Project Management Body of Knowledge.\")##\n(\"entity\"<|>\"Subject Matter Experts (SMEs)\"<|>\"person\"<|>\"Subject Matter Experts (SMEs) are individuals with expertise in a particular area.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location that is mentioned in the context of external dependency.\")##\n(\"entity\"<|>\"Firm Fixed Price (FFP)\"<|>\"concept\"<|>\"Firm Fixed Price (FFP) is a type of contract where the price is fixed.\")##\n(\"entity\"<|>\"Fixed Price Incentive Fee (FPIF)\"<|>\"concept\"<|>\"Fixed Price Incentive Fee (FPIF) is a type of contract where the price is fixed and an incentive fee is included.\")##\n(\"entity\"<|>\"Fixed Price with Economic Price Adjustment (FPEPA)\"<|>\"concept\"<|>\"Fixed Price with Economic Price Adjustment (FPEPA) is a type of contract where the price is fixed and adjusted for economic changes.\")##\n(\"entity\"<|>\"Flow-Based Estimating\"<|>\"concept\"<|>\"Flow-Based Estimating is a method of estimating project costs and duration.\")##\n(\"entity\"<|>\"Flow-Based Projects\"<|>\"concept\"<|>\"Flow-Based Projects are projects that use flow-based estimating.\")##\n(\"entity\"<|>\"Flow-Based Scheduling\"<|>\"concept\"<|>\"Flow-Based Scheduling is a method of scheduling projects.\")##\n(\"entity\"<|>\"Flowchart\"<|>\"concept\"<|>\"Flowchart is a diagram that shows the flow of a process.\")##\n(\"entity\"<|>\"Focus Groups\"<|>\"concept\"<|>\"Focus Groups are a method of gathering feedback from a group of people.\")##\n(\"entity\"<|>\"Forecasting\"<|>\"concept\"<|>\"Forecasting is the process of making predictions about future events.\")##\n(\"entity\"<|>\"Forming, Storming, Norming, Performing, Adjourning (FSNPA)\"<|>\"concept\"<|>\"Forming, Storming, Norming, Performing, Adjourning (FSNPA) is a model of team development.\")##\n(\"entity\"<|>\"Function Point\"<|>\"concept\"<|>\"Function Point is a measure of software size.\")##\n(\"entity\"<|>\"Gantt Chart\"<|>\"concept\"<|>\"Gantt Chart is a", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "22b3877b29157e4cdc1d9daa054d087e": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management knowledge.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is an organization that is involved in project management.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership refers to the ability to guide and direct a team or organization.\")##\n(\"entity\"<|>\"Knowledge Management\"<|>\"concept\"<|>\"Knowledge Management refers to the process of creating, sharing, and utilizing knowledge within an organization.\")##\n(\"entity\"<|>\"Metrics\"<|>\"concept\"<|>\"Metrics refer to the data or measurements used to evaluate project performance.\")##\n(\"entity\"<|>\"Change\"<|>\"event\"<|>\"Change refers to the process of modifying or adapting to new information or circumstances.\")##\n(\"entity\"<|>\"Retrospectives\"<|>\"event\"<|>\"Retrospectives are events that involve reviewing and reflecting on past experiences or events.\")##\n(\"relationship\"<|>\"PMI\"<|>\"PMBOK Guide\"<|>\"PMI publishes the PMBOK Guide, a resource for project management knowledge.\"<|>\"publication, knowledge sharing\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Leadership\"<|>\"Project Team requires leadership to guide and direct them in project management.\"<|>\"leadership, team management\"<|>8)##\n(\"relationship\"<|>\"Project Team\"<|>\"Knowledge Management\"<|>\"Project Team utilizes knowledge management to create, share, and utilize knowledge within the organization.\"<|>\"knowledge sharing, collaboration\"<|>9)##\n(\"relationship\"<|>\"Project Team\"<|>\"Metrics\"<|>\"Project Team uses metrics to evaluate project performance and make informed decisions.\"<|>\"evaluation, decision-making\"<|>8)##\n(\"relationship\"<|>\"Leadership\"<|>\"Change\"<|>\"Leadership involves guiding the team through change and adapting to new information or circumstances.\"<|>\"change management, leadership\"<|>7)##\n(\"relationship\"<|>\"Retrospectives\"<|>\"Change\"<|>\"Retrospectives involve reviewing and reflecting on past experiences or events, which can lead to change and improvement.\"<|>\"reflection, improvement\"<|>6)##\n(\"content_keywords\"<|>\"project management,", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "55071946eb3cb8df9068a83557311514": { + "return": "After re-extracting the entities, I found additional ones. Here is the updated list:\n\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a resource for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is an organization that is involved in project management.\")##\n(\"entity\"<|>\"Leadership\"<|>\"concept\"<|>\"Leadership refers to the ability to guide and direct a team or organization.\")##\n(\"entity\"<|>\"Knowledge Management\"<|>\"concept\"<|>\"Knowledge Management refers to the process of creating, sharing, and utilizing knowledge within an organization.\")##\n(\"entity\"<|>\"Metrics\"<|>\"concept\"<|>\"Metrics refer to the data or measurements used to evaluate project performance.\")##\n(\"entity\"<|>\"Change\"<|>\"event\"<|>\"Change refers to the process of modifying or adapting to new information or circumstances.\")##\n(\"entity\"<|>\"Retrospectives\"<|>\"event\"<|>\"Retrospectives are events that involve reviewing and reflecting on past experiences or events.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team refers to a group of people working together to achieve a common goal.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project refers to a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Management\"<|>\"concept\"<|>\"Management refers to the process of planning, organizing, and controlling resources to achieve a goal.\")##\n(\"entity\"<|>\"Performance Domain\"<|>\"concept\"<|>\"Performance Domain refers to the area of focus for measuring and evaluating project performance.\")##\n(\"entity\"<|>\"Measurement Performance Domain\"<|>\"concept\"<|>\"Measurement Performance Domain refers to the process of establishing and using metrics to evaluate project performance.\")##\n(\"entity\"<|>\"Metrics\"<|>\"concept\"<|>\"Metrics refer to the data or measurements used to evaluate project performance.\")##\n(\"entity\"<|>\"Key Performance Indicators (KPIs)\"<|>\"concept\"<|>\"KPIs are specific, measurable values used to evaluate project performance.\")##\n(\"entity\"<|>\"Lagging Indicators\"<|>\"concept\"<|>\"Lagging Indicators are metrics that measure the results of a project after it has been", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "56e29c217d48cac7f368a11fa22b8399": { + "return": "(\"entity\"<|>\"112MoSCoW\"<|>\"organization\"<|>\"112MoSCoW is an organization that is likely related to project management.\")##\n(\"entity\"<|>\"181Motivation\"<|>\"organization\"<|>\"181Motivation is an organization that deals with motivation models.\")##\n(\"entity\"<|>\"MOA\"<|>\"organization\"<|>\"MOA is an abbreviation for Memorandum of agreement.\")##\n(\"entity\"<|>\"MOU\"<|>\"organization\"<|>\"MOU is an abbreviation for Memorandum of understanding.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI stands for Project Management Institute.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location, but it is not clear what specific entity this refers to in this context.\")##\n(\"entity\"<|>\"Project Management Office (PMO)<|>\"organization\"<|>\"Project Management Office (PMO) is an organization that deals with project management.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"organization\"<|>\"Project Work Performance Domain is an organization that deals with project work.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"organization\"<|>\"Team Performance Domain is an organization that deals with team performance.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"organization\"<|>\"Stakeholder Performance Domain is an organization that deals with stakeholder performance.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"organization\"<|>\"Uncertainty Performance Domain is an organization that deals with uncertainty.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person mentioned in the text.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a person mentioned in the text.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is a person mentioned in the text.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is a person mentioned in the text.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is a person mentioned in the text.\")##\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a person mentioned in the text.\")##\n(\"relationship\"<|>\"Alex\"<|>\"112MoSCoW\"<|>\"Alex is likely related to 112MoSCoW, but the nature of the relationship is unclear.\")##\n(\"relationship\"<", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "6ea363db8a1ed8de6f20f3f12854089a": { + "return": "After re-extracting the entities from the text, here is the updated list:\n\n(\"entity\"<|>\"112MoSCoW\"<|>\"organization\"<|>\"112MoSCoW is an organization that is likely related to project management.\")##\n(\"entity\"<|>\"181Motivation\"<|>\"organization\"<|>\"181Motivation is an organization that deals with motivation models.\")##\n(\"entity\"<|>\"MOA\"<|>\"organization\"<|>\"MOU is an abbreviation for Memorandum of agreement.\")##\n(\"entity\"<|>\"MOU\"<|>\"organization\"<|>\"MOU is an abbreviation for Memorandum of understanding.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI stands for Project Management Institute.\")##\n(\"entity\"<|>\"Washington\"<|>\"geo\"<|>\"Washington is a location, but it is not clear what specific entity this refers to in this context.\")##\n(\"entity\"<|>\"Project Management Office (PMO)<|>\"organization\"<|>\"Project Management Office (PMO) is an organization that deals with project management.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"organization\"<|>\"Project Work Performance Domain is an organization that deals with project work.\")##\n(\"entity\"<|>\"Team Performance Domain\"<|>\"organization\"<|>\"Team Performance Domain is an organization that deals with team performance.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"organization\"<|>\"Stakeholder Performance Domain is an organization that deals with stakeholder performance.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"organization\"<|>\"Uncertainty Performance Domain is an organization that deals with uncertainty.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a person mentioned in the text.\")##\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a person mentioned in the text.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is a person mentioned in the text.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is a person mentioned in the text.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan is a person mentioned in the text.\")##\n(\"entity\"<|>\"Mercer\"<|>\"person\"<|>\"Mercer is a person mentioned in the text.\")##\n(\"entity\"<|>\"Theory X\"<|>\"concept\"<|>\"Theory X is a concept related to motivation models.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "894c18fdc7c7a2d003019f86ab0a6c40": { + "return": "(\"entity\"<|>\"PMI Seventh Edition July 2021\"<|>\"organization\"<|>\"PMI Seventh Edition July 2021 is the edition of the Project Management Institute's guide, a resource for project management knowledge and best practices.\")##\n(\"entity\"<|>\"Project management office (PMO)\"<|>\"organization\"<|>\"Project management office (PMO) is a department that oversees and guides project management within an organization, providing benefits realization and key capabilities.\")##\n(\"entity\"<|>\"Project manager (PM)\"<|>\"person\"<|>\"Project manager (PM) is a professional responsible for leading project teams, making decisions, and ensuring project success.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"organization\"<|>\"Project Work Performance Domain refers to the processes and activities involved in executing project work, including project delivery, development approach, and life cycle.\")##\n(\"entity\"<|>\"Project management plan\"<|>\"organization\"<|>\"Project management plan is a comprehensive document that outlines the project scope, schedule, budget, and resources, serving as an overarching plan for project execution.\")##\n(\"entity\"<|>\"Project management team\"<|>\"organization\"<|>\"Project management team is a group of professionals responsible for managing a project, including the project manager, team members, and stakeholders.\")##\n(\"relationship\"<|>\"Project manager (PM)\"<|>\"Project management team\"<|>\"The project manager leads the project management team, guiding them in project execution and ensuring successful project delivery.\"<|>\"leadership, team management\"<|>9)##\n(\"relationship\"<|>\"Project manager (PM)\"<|>\"Project management office (PMO)\"<|>\"The project manager works with the project management office (PMO) to ensure alignment with organizational goals and best practices.\"<|>\"collaboration, organizational alignment\"<|>8)##\n(\"relationship\"<|>\"Project management office (PMO)\"<|>\"Project management plan\"<|>\"The project management office (PMO) develops and maintains the project management plan, which serves as a comprehensive guide for project execution.\"<|>\"planning, execution\"<|>9)##\n(\"relationship\"<|>\"Project management team\"<|>\"Project management office (PMO)\"<|>\"The project management team works with the project management office (PMO) to ensure that project management best practices are followed and organizational goals are met.\"<|>\"collaboration, organizational goals\"<|>8)##\n(\"relationship\"<|>\"Project management plan\"<|", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "5f04ed2bb7cfbf7454c554a93e4d22f2": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project refers to a temporary endeavor with a specific goal, scope, and deliverables, undertaken to meet business objectives.\")##\n(\"entity\"<|>\"Project brief\"<|>\"organization\"<|>\"Project brief is a document that outlines the project scope, goals, and objectives, serving as a strategy artifact.\")##\n(\"entity\"<|>\"Project calendar\"<|>\"organization\"<|>\"Project calendar is a schedule that outlines the project timeline, milestones, and deadlines.\")##\n(\"entity\"<|>\"Project charter\"<|>\"organization\"<|>\"Project charter is a document that formally authorizes a project, outlining its scope, goals, and objectives.\")##\n(\"entity\"<|>\"Project closeout meeting\"<|>\"event\"<|>\"Project closeout meeting is a meeting held at the end of a project to document lessons learned, finalize project deliverables, and formally close the project.\")##\n(\"entity\"<|>\"Project communications management plan\"<|>\"organization\"<|>\"Project communications management plan is a document that outlines the communication strategy, channels, and stakeholders for a project.\")##\n(\"entity\"<|>\"Project context\"<|>\"organization\"<|>\"Project context refers to the internal and external factors that influence a project, including organizational culture, stakeholder expectations, and market conditions.\")##\n(\"entity\"<|>\"Project deliverables\"<|>\"organization\"<|>\"Project deliverables are the tangible or intangible outcomes of a project, including products, services, or results.\")##\n(\"entity\"<|>\"Project documents\"<|>\"organization\"<|>\"Project documents are the written records and artifacts created during a project, including project plans, reports, and meeting minutes.\")##\n(\"entity\"<|>\"Project execution\"<|>\"organization\"<|>\"Project execution refers to the processes and activities involved in delivering project work, including project management, team management, and stakeholder engagement.\")##\n(\"entity\"<|>\"Project factors\"<|>\"organization\"<|>\"Project factors are the variables that affect a project, including scope, schedule, budget, and resources.\")##\n(\"entity\"<|>\"Project life cycle\"<|>\"organization\"<|>\"Project life cycle refers to the stages a project goes through, including initiation, planning, execution, monitoring and control, and closure.\")##\n(\"entity\"<|>\"Project management plan\"<|>\"organization\"<|>\"Project management plan is a comprehensive document that outlines the project scope, schedule, budget, and resources, serving as an overarching plan for project execution.\")##\n", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "195f44987128df041cfb8d6b0f988add": { + "return": "(\"entity\"<|>\"Project\"<|>\"organization\"<|>\"Project is a term referring to a series of tasks and activities aimed at achieving specific objectives.\")##\n(\"entity\"<|>\"Team\"<|>\"organization\"<|>\"Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Project phase(s)\"<|>\"organization\"<|>\"Project phases are stages in the project life cycle, used to plan and manage project activities.\")##\n(\"entity\"<|>\"Project processes\"<|>\"organization\"<|>\"Project processes refer to the activities and tasks performed during the project life cycle.\")##\n(\"entity\"<|>\"Project team(s)\"<|>\"organization\"<|>\"Project team refers to the group of individuals responsible for managing and executing project activities.\")##\n(\"entity\"<|>\"Project team charter\"<|>\"organization\"<|>\"Project team charter is a document that outlines the project team's roles and responsibilities.\")##\n(\"entity\"<|>\"Project team culture\"<|>\"organization\"<|>\"Project team culture refers to the values, norms, and behaviors of the project team.\")##\n(\"entity\"<|>\"Project vision statement\"<|>\"organization\"<|>\"Project vision statement is a document that outlines the project's goals and objectives.\")##\n(\"entity\"<|>\"Project Work Performance Domain\"<|>\"organization\"<|>\"Project Work Performance Domain refers to the activities and tasks performed during the project life cycle.\")##\n(\"entity\"<|>\"Proposals\"<|>\"organization\"<|>\"Proposals are documents submitted in response to a request for proposal (RFP).\")##\n(\"entity\"<|>\"Pull communication\"<|>\"organization\"<|>\"Pull communication refers to the process of sharing information with stakeholders.\")##\n(\"entity\"<|>\"Push communication\"<|>\"organization\"<|>\"Push communication refers to the process of sharing information with stakeholders.\")##\n(\"entity\"<|>\"Project management\"<|>\"organization\"<|>\"Project management refers to the application of knowledge, skills, and techniques to execute projects effectively.\")##\n(\"entity\"<|>\"Quality\"<|>\"concept\"<|>\"Quality refers to the degree to which a product or service meets the requirements and expectations of stakeholders.\")##\n(\"entity\"<|>\"Quality assurance\"<|>\"organization\"<|>\"Quality assurance refers to the activities and tasks performed to ensure that the project meets the required quality standards.\")##\n(\"entity\"<|>\"Quality audits\"<|>\"organization\"<|>\"Quality audits refer to the process of evaluating the quality of a project or product.\")##\n(\"entity\"<|>\"Quality management", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "89aed768e26c70c3553281873d6f81b8": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"Project life cycle\"<|>\"concept\"<|>\"Project life cycle refers to the stages a project goes through from initiation to completion.\")##\n(\"entity\"<|>\"Stakeholder\"<|>\"organization\"<|>\"Stakeholder refers to any individual or group affected by or interested in the project.\")##\n(\"entity\"<|>\"Requirements\"<|>\"concept\"<|>\"Requirements refer to the needs and expectations of stakeholders that the project must meet.\")##\n(\"entity\"<|>\"Project scope\"<|>\"concept\"<|>\"Project scope refers to the work that is included in the project.\")##\n(\"entity\"<|>\"Project schedule\"<|>\"concept\"<|>\"Project schedule refers to the timeline for completing the project tasks.\")##\n(\"entity\"<|>\"Project risk\"<|>\"concept\"<|>\"Project risk refers to any uncertainty that could impact the project.\")##\n(\"entity\"<|>\"Project sponsor\"<|>\"organization\"<|>\"Project sponsor refers to the person or organization that provides financial or other resources to the project.\")##\n(\"entity\"<|>\"Statement of work\"<|>\"concept\"<|>\"Statement of work refers to a document that outlines the project's objectives, scope, and deliverables.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI refers to the Project Management Institute, a professional organization for project managers.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"organization\"<|>\"PMBOK Guide refers to the Project Management Body of Knowledge, a guide for project management best practices.\")##\n(\"entity\"<|>\"Request for proposal (RFP)\"<|>\"concept\"<|>\"Request for proposal (RFP) refers to a document that solicits proposals from potential vendors or contractors.\")##\n(\"entity\"<|>\"Request for quotation (RFQ)\"<|>\"concept\"<|>\"Request for quotation (RFQ) refers to a document that solicits quotes from potential vendors or contractors.\")##\n(\"entity\"<|>\"RACI chart\"<|>\"concept\"<|>\"RACI chart refers to a chart that shows the roles and responsibilities of team members.\")##\n(\"entity\"<|>\"RAG (red-amber-green) charts\"<|>\"concept\"<|>\"RAG (red-amber-green) charts refer to charts used to track project progress.\")##\n(\"entity\"<|>\"RAM (Responsibility Assignment Matrix)\"<|>\"concept\"<|>\"RAM (Responsibility Assignment Matrix) refers to a chart that shows the roles and", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "61e8fb89f6bb6975c93d5b0c76e67826": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a widely recognized standard in project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Resource management plan\"<|>\"technology\"<|>\"Resource management plan is a technology used in project management to allocate and manage resources.\")##\n(\"entity\"<|>\"Risk management plan\"<|>\"technology\"<|>\"Risk management plan is a technology used in project management to identify and mitigate risks.\")##\n(\"entity\"<|>\"Risk register\"<|>\"technology\"<|>\"Risk register is a technology used in project management to track and monitor risks.\")##\n(\"entity\"<|>\"Risk report\"<|>\"technology\"<|>\"Risk report is a technology used in project management to communicate risk information.\")##\n(\"entity\"<|>\"Schedule model\"<|>\"technology\"<|>\"Schedule model is a technology used in project management to plan and manage schedules.\")##\n(\"entity\"<|>\"Schedule performance index (SPI)<|>\"technology\"<|>\"Schedule performance index (SPI) is a technology used in project management to measure schedule performance.\")##\n(\"entity\"<|>\"Schedule variance (SV)<|>\"technology\"<|>\"Schedule variance (SV) is a technology used in project management to measure schedule performance.\")##\n(\"entity\"<|>\"Scope baseline\"<|>\"technology\"<|>\"Scope baseline is a technology used in project management to define and manage scope.\")##\n(\"entity\"<|>\"Scope management plan\"<|>\"technology\"<|>\"Scope management plan is a technology used in project management to plan and manage scope.\")##\n(\"entity\"<|>\"Risk-adjusted ROI curve\"<|>\"technology\"<|>\"Risk-adjusted ROI curve is a technology used in project management to measure return on investment.\")##\n(\"entity\"<|>\"Risk exposure\"<|>\"concept\"<|>\"Risk exposure refers to the potential impact of risks on a project.\")##\n(\"entity\"<|>\"Risk impact\"<|>\"concept\"<|>\"Risk impact refers to the potential consequences of risks on a project.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain refers to the management of uncertainty in project management.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the unknowns and unpredictabilities in project management.\")##\n(\"entity\"<|>\"Project sponsor", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "f4bb94d0781cbe22e2e29c48b4c109a1": { + "return": "(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes the PMBOK Guide, a widely recognized standard in project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a technology that provides a framework for project management.\")##\n(\"entity\"<|>\"Resource management plan\"<|>\"technology\"<|>\"Resource management plan is a technology used in project management to allocate and manage resources.\")##\n(\"entity\"<|>\"Risk management plan\"<|>\"technology\"<|>\"Risk management plan is a technology used in project management to identify and mitigate risks.\")##\n(\"entity\"<|>\"Risk register\"<|>\"technology\"<|>\"Risk register is a technology used in project management to track and monitor risks.\")##\n(\"entity\"<|>\"Risk report\"<|>\"technology\"<|>\"Risk report is a technology used in project management to communicate risk information.\")##\n(\"entity\"<|>\"Schedule model\"<|>\"technology\"<|>\"Schedule model is a technology used in project management to plan and manage schedules.\")##\n(\"entity\"<|>\"Schedule performance index (SPI)<|>\"technology\"<|>\"Schedule performance index (SPI) is a technology used in project management to measure schedule performance.\")##\n(\"entity\"<|>\"Schedule variance (SV)<|>\"technology\"<|>\"Schedule variance (SV) is a technology used in project management to measure schedule performance.\")##\n(\"entity\"<|>\"Scope baseline\"<|>\"technology\"<|>\"Scope baseline is a technology used in project management to define and manage scope.\")##\n(\"entity\"<|>\"Scope management plan\"<|>\"technology\"<|>\"Scope management plan is a technology used in project management to plan and manage scope.\")##\n(\"entity\"<|>\"Risk-adjusted ROI curve\"<|>\"technology\"<|>\"Risk-adjusted ROI curve is a technology used in project management to measure return on investment.\")##\n(\"entity\"<|>\"Risk exposure\"<|>\"concept\"<|>\"Risk exposure refers to the potential impact of risks on a project.\")##\n(\"entity\"<|>\"Risk impact\"<|>\"concept\"<|>\"Risk impact refers to the potential consequences of risks on a project.\")##\n(\"entity\"<|>\"Uncertainty Performance Domain\"<|>\"concept\"<|>\"Uncertainty Performance Domain refers to the management of uncertainty in project management.\")##\n(\"entity\"<|>\"Uncertainty\"<|>\"concept\"<|>\"Uncertainty refers to the unknowns and unpredictabilities in project management.\")##\n(\"entity\"<|>\"Project sponsor", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "187128006dfce0f78cb7b586d4c3426c": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes project management guides and standards.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes project management guides and standards.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"concept\"<|>\"Stakeholder Performance Domain is a concept that refers to the process of understanding and analyzing stakeholders.\")##\n(\"entity\"<|>\"Stakeholder Engagement\"<|>\"concept\"<|>\"Stakeholder Engagement is a concept that refers to the process of engaging with stakeholders.\")##\n(\"entity\"<|>\"Project Stakeholders\"<|>\"organization\"<|>\"Project Stakeholders are individuals or groups that have an interest in the project.\")##\n(\"entity\"<|>\"Stakeholder Register\"<|>\"concept\"<|>\"Stakeholder Register is a document that lists all the stakeholders of a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Team Charter\"<|>\"concept\"<|>\"Team Charter is a document that outlines the purpose, goals, and roles of a project team.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring is the process of adapting project management processes to suit the needs of a specific project or organization.\")##\n(\"entity\"<|>\"Performance Domains\"<|>\"concept\"<|>\"Performance Domains are areas of project management that need to be considered when tailoring project management processes.\")##\n(\"relationship\"<|>\"PMI\"<|>\"Project Management Institute\"<|>\"PMI is the organization that publishes the PMBOK Guide, which is a key resource for project management professionals.\"<|>\"publication, standards\"<|>8)##\n(\"relationship\"<|>\"Stakeholder Performance Domain\"<|>\"Stakeholder Engagement\"<|>\"Stakeholder Performance Domain is a key concept in stakeholder engagement, which involves understanding and analyzing stakeholders.\"<|>\"analysis, engagement\"<|>7)##\n(\"relationship\"<|>\"Project Stakeholders\"<|>\"Stakeholder Register\"<|>\"Project Stakeholders are listed in the Stakeholder Register, which is a document that outlines the stakeholders of a project.\"<|>\"documentation, stakeholders\"<|>6)##\n(\"relationship\"<|>\"Project Team\"<|>\"Team Charter\"<|>\"The Project Team is responsible for following the guidelines outlined in the Team Charter", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "3824b530afb552a28e366f241bc1597f": { + "return": "## (\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an organization that publishes project management guides and standards.\")##\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes project management guides and standards.\")##\n(\"entity\"<|>\"Stakeholder Performance Domain\"<|>\"concept\"<|>\"Stakeholder Performance Domain is a concept that refers to the process of understanding and analyzing stakeholders.\")##\n(\"entity\"<|>\"Stakeholder Engagement\"<|>\"concept\"<|>\"Stakeholder Engagement is a concept that refers to the process of engaging with stakeholders.\")##\n(\"entity\"<|>\"Project Stakeholders\"<|>\"organization\"<|>\"Project Stakeholders are individuals or groups that have an interest in the project.\")##\n(\"entity\"<|>\"Stakeholder Register\"<|>\"concept\"<|>\"Stakeholder Register is a document that lists all the stakeholders of a project.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals working together to achieve project objectives.\")##\n(\"entity\"<|>\"Team Charter\"<|>\"concept\"<|>\"Team Charter is a document that outlines the purpose, goals, and roles of a project team.\")##\n(\"entity\"<|>\"Tailoring\"<|>\"concept\"<|>\"Tailoring is the process of adapting project management processes to suit the needs of a specific project or organization.\")##\n(\"entity\"<|>\"Performance Domains\"<|>\"concept\"<|>\"Performance Domains are areas of project management that need to be considered when tailoring project management processes.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"document\"<|>\"PMBOK Guide is a document published by PMI that outlines project management best practices.\")##\n(\"entity\"<|>\"PMBOK\"<|>\"document\"<|>\"PMBOK is a framework for project management that outlines best practices.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is the process of planning, organizing, and controlling resources to achieve specific goals.\")##\n(\"entity\"<|>\"Project\"<|>\"concept\"<|>\"Project is a temporary endeavor with a specific goal or objective.\")##\n(\"entity\"<|>\"Stakeholder Analysis\"<|>\"concept\"<|>\"Stakeholder Analysis is the process of identifying and analyzing stakeholders.\")##\n(\"entity\"<|>\"Stakeholder Identification\"<|>\"concept\"<|>\"Stakeholder Identification is the process of identifying stakeholders.\")##\n(\"", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "1d854056b268a30157d46a8fe8f7ff9c": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide, a comprehensive resource for project management.\")##\n(\"entity\"<|>\"Project Management Body of Knowledge\"<|>\"concept\"<|>\"Project Management Body of Knowledge is a framework for project management that is presented in the PMBOK Guide.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a publication that provides a guide to project management, including models, methods, and artifacts.\")##\n(\"entity\"<|>\"Project Management\"<|>\"concept\"<|>\"Project Management is a profession that has evolved to adapt to changing industry, organization, and project needs.\")##\n(\"entity\"<|>\"Project Outcomes\"<|>\"event\"<|>\"Project Outcomes are the results of project management, which are critical for effectively delivering project results.\")##\n(\"entity\"<|>\"Project Team Members\"<|>\"organization\"<|>\"Project Team Members must adapt their approaches to successfully manage projects and deliver results.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Project Management Body of Knowledge\"<|>\"The Project Management Institute publishes the PMBOK Guide, which presents the Project Management Body of Knowledge.\"<|>\"publication, framework\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMBOK Guide\"<|>\"The Project Management Institute publishes the PMBOK Guide, which provides a guide to project management.\"<|>\"publication, resource\"<|>8)##\n(\"relationship\"<|>\"PMBOK Guide\"<|>\"Project Management\"<|>\"The PMBOK Guide provides a guide to project management, which is a profession that has evolved to adapt to changing industry, organization, and project needs.\"<|>\"profession, adaptation\"<|>7)##\n(\"relationship\"<|>\"Project Team Members\"<|>\"Project Outcomes\"<|>\"Project Team Members are responsible for delivering project outcomes, which are critical for effectively delivering project results.\"<|>\"responsibility, results\"<|>6)##\n(\"relationship\"<|>\"Project Team Members\"<|>\"Project Management Body of Knowledge\"<|>\"Project Team Members must adapt their approaches to successfully manage projects, which is based on the Project Management Body of Knowledge.\"<|>\"adaptation, framework\"<|>5)##\n(\"content_keywords\"<|>\"project management, adaptation, publication, profession, results\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "407c3592bfecd39b39eedbb95cb83ff1": { + "return": "Here are the additional entities:\n\n(\"entity\"<|>\"A Guide to the Project Management Body of Knowledge\"<|>\"technology\"<|>\"A Guide to the Project Management Body of Knowledge is a publication that provides a guide to project management.\")##\n(\"entity\"<|>\"The Standard for Project Management\"<|>\"technology\"<|>\"The Standard for Project Management is a publication that provides a standard for project management.\")##\n(\"entity\"<|>\"Seventh Edition\"<|>\"event\"<|>\"Seventh Edition is the current version of the PMBOK Guide.\")##\n(\"entity\"<|>\"Project Management Profession\"<|>\"concept\"<|>\"Project Management Profession is a field that has evolved to adapt to changing industry, organization, and project needs.\")##\n(\"entity\"<|>\"Development Approaches\"<|>\"concept\"<|>\"Development Approaches include predictive, traditional, adaptive, agile, hybrid, etc.\")##\n(\"entity\"<|>\"Project Performance Domains\"<|>\"concept\"<|>\"Project Performance Domains are critical for effectively delivering project outcomes.\")##\n(\"entity\"<|>\"Tailoring Development Approaches\"<|>\"concept\"<|>\"Tailoring Development Approaches is a process of adapting project management approaches to suit specific project needs.\")##\n(\"entity\"<|>\"Models, Methods, and Artifacts\"<|>\"concept\"<|>\"Models, Methods, and Artifacts are tools and techniques used in project management.\")##\n(\"entity\"<|>\"Project Outcomes\"<|>\"event\"<|>\"Project Outcomes are the results of project management, which are critical for effectively delivering project results.\")##\n(\"entity\"<|>\"Deliverables\"<|>\"concept\"<|>\"Deliverables are the tangible or intangible products of a project.\")##\n(\"entity\"<|>\"PMIstandards +\"<|>\"technology\"<|>\"PMIstandards + is a platform that provides content and resources for project management.\")##\n(\"entity\"<|>\"Project Team\"<|>\"organization\"<|>\"Project Team is a group of individuals responsible for delivering project outcomes.\")##\n(\"entity\"<|>\"Global Headquarters\"<|>\"geo\"<|>\"Global Headquarters is the main office of the Project Management Institute.\")##\n(\"entity\"<|>\"Campus\"<|>\"geo\"<|>\"Campus is a physical location of the Project Management Institute.\")##\n(\"entity\"<|>\"14\"<|>\"geo\"<|>\"14 is the number of the Campus of the Project Management Institute.\")##\n(\"entity\"<|>\"Predictive\"<|>\"concept\"<|>\"Predictive is a development approach", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "90807f56d3852dfdfb3b9c4e9df5bfea": { + "return": "(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide and sets standards for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide that helps project team members apply project management knowledge and standards.\")##\n(\"entity\"<|>\"Newtown Square\"<|>\"geo\"<|>\"Newtown Square is a geographic location that serves as the Global Headquarters of the Project Management Institute.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMBOK Guide\"<|>\"The Project Management Institute publishes the PMBOK Guide, which is a key resource for project management professionals.\"<|>\"publication, resource\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Newtown Square\"<|>\"The Project Management Institute is headquartered in Newtown Square, indicating a physical connection between the organization and its location.\"<|>\"location, headquarters\"<|>8)##\n(\"content_keywords\"<|>\"project management, publication, resource, organization\")<|COMPLETE|>", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "018a9752ec597ec8bfdbcf79f1e4602a": { + "return": "Here is the updated output with additional entities:\n\n(\"entity\"<|>\"Project Management Institute\"<|>\"organization\"<|>\"Project Management Institute is an organization that publishes the PMBOK Guide and sets standards for project management.\")##\n(\"entity\"<|>\"PMBOK Guide\"<|>\"technology\"<|>\"PMBOK Guide is a guide that helps project team members apply project management knowledge and standards.\")##\n(\"entity\"<|>\"Newtown Square\"<|>\"geo\"<|>\"Newtown Square is a geographic location that serves as the Global Headquarters of the Project Management Institute.\")##\n(\"entity\"<|>\"PMI\"<|>\"organization\"<|>\"PMI is an abbreviation for the Project Management Institute.\")##\n(\"entity\"<|>\"PMBOK_Guide_7thED_cover_spread\"<|>\"technology\"<|>\"PMBOK_Guide_7thED_cover_spread is a document related to the PMBOK Guide.\")##\n(\"entity\"<|>\"USA\"<|>\"geo\"<|>\"USA is a country where the Project Management Institute is headquartered.\")##\n(\"entity\"<|>\"Tel\"<|>\"technology\"<|>\"Tel is a technology used for communication, specifically a phone number.\")##\n(\"entity\"<|>\"PMI.org\"<|>\"technology\"<|>\"PMI.org is a website associated with the Project Management Institute.\")##\n(\"entity\"<|>\"July\"<|>\"event\"<|>\"July is a month when the PMBOK Guide Seventh Edition was published.\")##\n(\"entity\"<|>\"2021\"<|>\"event\"<|>\"2021 is the year when the PMBOK Guide Seventh Edition was published.\")##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMBOK Guide\"<|>\"The Project Management Institute publishes the PMBOK Guide, which is a key resource for project management professionals.\"<|>\"publication, resource\"<|>9)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"Newtown Square\"<|>\"The Project Management Institute is headquartered in Newtown Square, indicating a physical connection between the organization and its location.\"<|>\"location, headquarters\"<|>8)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"PMI\"<|>\"PMI is an abbreviation for the Project Management Institute, indicating a connection between the organization and its acronym.\"<|>\"abbreviation, organization\"<|>6)##\n(\"relationship\"<|>\"Project Management Institute\"<|>\"USA\"<|>\"The Project Management Institute is headquartered in the USA, indicating a geographic connection between the organization and", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2f8c4acfd6cc91a021d685f93ff5acfc": { + "return": "The PROJECT is a temporary endeavor undertaken to create a unique product, service, or result. It is a unique set of coordinated activities aimed at achieving a specific objective, with a defined scope, goals, and deliverables. A project is a multifaceted entity that exists in dynamic circumstances, exhibiting the characteristics of a system, and involves multiple organizations, departments, functions, or vendors that do not interact on a regular basis. It is associated with varying degrees of uncertainty and risk, and requires tailoring the approach to fit the project context and environment.\n\nA project has a specific purpose and outcome, and is undertaken to meet business objectives. It involves establishing the processes and performing the work to enable the project team to deliver the expected deliverables and outcomes. The project is a temporary endeavor with a defined start and end date, aimed at achieving specific goals and objectives, and involves quality management.\n\nThe project team works towards achieving a specific goal, scope, and timeline, and is a series of tasks and activities aimed at achieving specific objectives. It is an endeavor or undertaking with a specific goal or objective, and is associated with a defined budget. The overall effort of the project is to achieve specific goals and objectives, and it refers to a collection of tasks and activities.\n\nIn summary, the PROJECT is a temporary endeavor with a specific goal, scope, and deliverables, undertaken to meet business objectives, and is a unique set of coordinated activities aimed at achieving a specific objective.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "80fa5fb23d503a0bf3a6270ef7b7da8f": { + "return": "The Project Management Institute (PMI) is a professional organization that plays a significant role in project management. It is responsible for developing and publishing various standards and guides, including the Project Management Body of Knowledge (PMBOK) Guide and the Standard for Project Management. The PMBOK Guide is a widely recognized reference for project management best practices, outlining various project management principles, performance domains, and models and methods used in project management. It provides guidance on project management practices, including stakeholder engagement, project performance domains, and project management principles and standards.\n\nPMI is also known for its role in certifying professionals in project management through various certifications. The organization provides a framework for project delivery and governance, including guidelines for tailoring project approaches. Additionally, PMI publishes project management standards and guides, including the PMBOK Guide, which is a widely used reference for project management. The organization has a significant influence on project management practices, and its publications, such as the PMBOK Guide, are widely recognized and used by project managers.\n\nPMI's publications, including the PMBOK Guide, provide guidance on various project management topics, such as quality, cost of quality, emotional intelligence, and project performance domains. The organization also provides a guide to project management, which includes information on complexity, risk, and adaptability. PMI's publications are a valuable resource for project managers, providing them with the knowledge and skills necessary to navigate project uncertainty and deliver projects successfully.\n\nIn summary, the Project Management Institute (PMI) is a professional organization that plays a crucial role in project management. Its publications, including the PMBOK Guide, are widely recognized and used by project managers, and its certifications are highly valued in the industry. PMI's publications provide guidance on various project management topics, including project management principles, performance domains, and models and methods used in project management.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "93d88866afffebff2eb35cf60a46ce42": { + "return": "The PMBOK Guide is a document developed by the Project Management Institute (PMI) that provides a comprehensive framework for project management. It outlines various project management best practices, models, methods, and artifacts, and serves as a guide for project teams to manage their projects effectively. The guide is regularly updated to incorporate new knowledge and practices in project management, ensuring that it remains relevant and applicable to the ever-changing project management landscape.\n\nThe PMBOK Guide provides a framework for project management, including descriptions of processes, phases, methods, artifacts, and templates. It also offers guidance on project performance domains, earned value management, and tailoring the project approach to fit the project context. Additionally, it covers various development approaches, project performance domains, and stakeholder engagement, making it a valuable resource for project managers to improve project team performance.\n\nThe guide is a reference for project management, providing guidelines and best practices for project management best practices. It is a publication by PMI that offers guidance on project management, including quality and cost of quality, and is a technology that provides a framework for project management. It is also a resource for navigating project uncertainty and managing risk, making it an essential tool for project managers.\n\nThe PMBOK Guide is a guidebook for project management, containing best practices and methodologies, and is used by project teams to manage their projects. It is a publication that has been updated multiple times, incorporating new knowledge and practices in project management, and is a reference guide for project management best practices. It is also a publication that provides a guide to project management, including models, methods, and artifacts, and is a technology used in project management, outlining practices and artifacts for managing projects.\n\nOverall, the PMBOK Guide is a comprehensive guide for project management, providing a framework for project management, guidance on best practices, and a reference for project management best practices.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "5f1d77de0db427e0d39ad48fbe8ee107": { + "return": "STAKEHOLDERS are individuals or groups that have a vested interest in a project's outcome, including its deliverables and impacts. They can be affected by the project, or have the ability to affect it, and may be internal or external parties. Stakeholders play a significant role in establishing and prioritizing work, particularly in adaptive methods, and need to understand the performance of projects to make informed decisions. They include entities such as service providers, regulators, financiers, and government authorities, and may perceive themselves to be affected by a decision, activity, or outcome of a project.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "5b04156c683feb02ff938d12b6d13eb0": { + "return": "The Project Team is a group of individuals working together to achieve a shared objective, consisting of diverse stakeholders and requiring effective stakeholder engagement. They are responsible for delivering project outcomes, executing project activities, including procurement and scope management, and identifying, managing, and responding to risks. This group of individuals, with their own performance and metrics, work together to achieve a common goal, providing knowledge, skills, and experience to produce project outcomes. They are involved in various development approaches, including predictive, hybrid, and adaptive, and are responsible for producing project deliverables that realize business outcomes. The Project Team is a set of individuals performing the work of the project to achieve its objectives, working together on a project, with specific roles and responsibilities, to deliver a project, with diverse viewpoints and cultural perspectives, and to tailor the project approach and deliverables.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "83acbbf83f004bbc2b116fa5883a8252": { + "return": "The PMBOK Guide is a publication developed by the Project Management Institute (PMI), a key organization behind project management practices. The PMI is responsible for the publication of the PMBOK Guide, which outlines various approaches to project development and provides a framework for project management and tailoring. This guidebook is a widely used resource for project management, serving as a reference for project management best practices, principles, and knowledge. It outlines project management practices and artifacts, as well as provides information on project management models, methods, and tailoring the project approach. The PMBOK Guide is a key resource for project managers and stakeholders, offering guidance on project management and serving as a reference for project teams.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "421803efee34259920da8ad3cea33731": { + "return": "To identify high-level and low-level keywords in the query \"What are the performance domains?\", I will analyze the query and categorize the keywords accordingly.\n\nHigh-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms.\n\nFor the query \"What are the performance domains?\", I have identified the following keywords:\n\n- High-level keywords: [\"Performance\", \"Domains\"]\n- Low-level keywords: [\"Metrics\", \"Indicators\", \"Standards\", \"Evaluation\"]\n\nHere is the JSON output:\n\n```json\n{\n \"high_level_keywords\": [\"Performance\", \"Domains\"],\n \"low_level_keywords\": [\"Metrics\", \"Indicators\", \"Standards\", \"Evaluation\"]\n}\n```", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "fe2d06eae96bf7572e2119d33a3caf50": { + "return": "**Project Performance Domains**\n=============================\n\nThe Project Performance Domains are a framework for organizing project management activities. They are discussed in the PMBOK Guide and are a key concept in project management.\n\n**Overview**\n------------\n\nThe Project Performance Domains are areas of focus for project performance measurement. They are critical for effectively delivering project outcomes. The domains are:\n\n* Leadership Skills\n* Critical Thinking\n* Motivation\n* Interpersonal Skills\n\nThese domains are interconnected and work together to achieve project objectives.\n\n**Leadership Skills**\n-------------------\n\nLeadership Skills are essential for project success. They involve guiding and directing the project team to achieve project goals.\n\n* Establishing and maintaining a project vision\n* Communicating project goals and objectives\n* Building and maintaining a project team\n* Leading and motivating the project team\n\n**Critical Thinking**\n------------------\n\nCritical Thinking is the ability to analyze information, identify problems, and develop solutions.\n\n* Analyzing project data and information\n* Identifying project risks and opportunities\n* Developing and evaluating project alternatives\n* Making informed decisions\n\n**Motivation**\n-------------\n\nMotivation is the driving force behind project success. It involves inspiring and encouraging the project team to achieve project goals.\n\n* Understanding project team motivations and needs\n* Developing a project vision and goals\n* Building and maintaining a positive project team culture\n* Recognizing and rewarding project team achievements\n\n**Interpersonal Skills**\n----------------------\n\nInterpersonal Skills are essential for effective project communication and collaboration.\n\n* Building and maintaining relationships with project stakeholders\n* Communicating project information and progress\n* Resolving project conflicts and issues\n* Collaborating with project team members\n\n**Project Performance Domains in the PMBOK Guide**\n------------------------------------------------\n\nThe PMBOK Guide outlines the Project Performance Domains as follows:\n\n* Section 2 – Project Performance Domains\n* 2.7.2.1 Deliverable Metrics\n* 2.7.2.2 Delivery\n* 2.7.2.3 Baseline Performance\n* 2.7.2.4 Resources\n* 2.7.5 Troubleshooting Performance\n* 2.7.6 Growing and Improving\n* 2.7.7 Interactions with Other Performance Domains\n* 2.7.8 Checking Results\n\nThese sections provide a detailed explanation of the Project Performance Domains and how they are applied in", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "2a2e91e53ca43a492eba09fbd4291a4b": { + "return": "To identify the high-level and low-level keywords in the given query \"What are the 8 performance domains?\", I will analyze the query and categorize the keywords accordingly.\n\nHigh-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms.\n\nHigh-level keywords in this query are:\n- Performance\n- Domains\n\nThese keywords represent broad concepts related to the query.\n\nLow-level keywords in this query are:\n- 8 (a specific number)\n- Performance domains (a specific term related to business or technology)\n\nHowever, the term \"performance domains\" is a specific term that could be considered a high-level keyword as well. Since it's a specific term related to business or technology, I'll categorize it as a high-level keyword.\n\nTherefore, the corrected low-level keyword for this query is:\n- 8 (a specific number)\n\nHere is the output in JSON format:\n\n```json\n{\n \"high_level_keywords\": [\"Performance\", \"Domains\"],\n \"low_level_keywords\": [\"8\"]\n}\n```", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "7f77c1873cccf2f141a0cff3be4b707b": { + "return": "Based on the provided data, the 8 performance domains mentioned in the PMBOK Guide - Seventh Edition are:\n\n* Stakeholders\n* Project Team\n* Development Approach\n* Uncertainty\n* Delivery\n* Resources\n* Project Work\n* Organizational Process Assets\n\nThese performance domains are critical for effectively delivering project outcomes and are tailored to meet the unique needs of the project context and environment.\n\n# Performance Domains\n\nThe 8 performance domains are essential components of the project management framework, and each domain has its unique considerations and tailoring requirements. Here's a brief overview of each domain:\n\n### Stakeholders\n\n* Considerations: Is there a collaborative environment for stakeholders and suppliers? Are the stakeholders internal or external to the organization, or both?\n* Tailoring: How will project team members be identified for the project? Are project team members full time or part time on the project?\n\n### Project Team\n\n* Considerations: What is the physical location of project team members? Is the project team colocated? Does the project team reflect diverse viewpoints and cultural perspectives?\n* Tailoring: How will project team development be managed for the project? Are there organizational tools to manage project team development or will new ones need to be established?\n\n### Development Approach\n\n* Considerations: What is the iterative element of the development approach? How will the transition be managed? How will the change be sustained?\n* Tailoring: What development approach will be used? Will it be predictive, adaptive, or hybrid?\n\n### Uncertainty\n\n* Considerations: How will uncertainty be managed? What are the risks associated with uncertainty?\n* Tailoring: How will uncertainty be addressed in the project? Will risk management be used to mitigate uncertainty?\n\n### Delivery\n\n* Considerations: What is the delivery approach? Will it be agile, waterfall, or hybrid?\n* Tailoring: How will the delivery approach be tailored to meet the project requirements?\n\n### Resources\n\n* Considerations: What resources are required for the project? Are they available and accessible?\n* Tailoring: How will resources be allocated and managed for the project?\n\n### Project Work\n\n* Considerations: What work is required to deliver the project outcomes? How will the work be planned and executed?\n* Tailoring: How will the project work be tailored to meet the project requirements?\n\n### Organizational Process Assets\n\n* Considerations: What organizational processes and assets are available for the project? How will they be used and tailored?\n* Tailoring: How will organizational process assets be leveraged to support the project?\n\nThese", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "ff1cae62f2eb761ec108babee41ba57f": { + "return": "To identify high-level and low-level keywords in the query \"What are the project performance domains?\", I'll break down the query into its components and categorize them accordingly.\n\nHigh-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms.\n\nQuery: \"What are the project performance domains?\"\n\n1. \"What\": This is a general question word and not a specific keyword.\n2. \"are\": This is a linking verb and not a keyword.\n3. \"the\": This is an article and not a keyword.\n4. \"project\": This is a specific entity, but it's a high-level concept in this context.\n5. \"performance\": This is a high-level concept related to the project.\n6. \"domains\": This is a high-level concept related to the project performance.\n\nLow-level keywords are specific entities, details, or concrete terms. In this query, there are no specific low-level keywords.\n\nHigh-level keywords are overarching concepts or themes. In this query, the high-level keywords are:\n\n- \"project\"\n- \"performance\"\n- \"domains\"\n\nLow-level keywords are specific entities, details, or concrete terms. In this query, there are no specific low-level keywords.\n\nHowever, considering the context of the query, we can infer some low-level keywords that might be related to project performance domains, such as:\n\n- \"metrics\"\n- \"indicators\"\n- \"KPIs\"\n- \"standards\"\n- \"criteria\"\n\nSo, the output in JSON format would be:\n\n```\n{\n \"high_level_keywords\": [\"project\", \"performance\", \"domains\"],\n \"low_level_keywords\": [\"metrics\", \"indicators\", \"KPIs\", \"standards\", \"criteria\"]\n}\n```", + "model": "meta-llama/Llama-3.1-8B-Instruct" + }, + "43ba5d1a20cac52fff106280e7117485": { + "return": "**Project Performance Domains**\n================================\n\nThe project performance domains are areas of focus for project management, which interact with each other to achieve project objectives. According to the PMBOK Guide, there are eight project performance domains:\n\n1. **Leadership Skills**: This domain involves the project manager's ability to lead and motivate the project team, stakeholders, and sponsors.\n2. **Critical Thinking**: This domain involves the project manager's ability to analyze data, identify problems, and make informed decisions.\n3. **Motivation**: This domain involves the project manager's ability to motivate and engage the project team and stakeholders.\n4. **Interpersonal Skills**: This domain involves the project manager's ability to communicate effectively with stakeholders, build relationships, and manage conflicts.\n5. **Stakeholder Performance Domain**: This domain involves the project manager's ability to identify, analyze, and manage stakeholder needs and expectations.\n6. **Team Performance Domain**: This domain involves the project manager's ability to plan, organize, and manage the project team's work.\n7. **Development Approach Domain**: This domain involves the project manager's ability to select and apply a suitable development approach to meet the project's objectives.\n8. **Work Performance Domain**: This domain involves the project manager's ability to plan, execute, and control the project work.\n\n**Project Performance Domains in the PMBOK Guide**\n---------------------------------------------------\n\nThe PMBOK Guide provides a detailed description of each project performance domain, including the activities, inputs, tools and techniques, and outputs associated with each domain.\n\n**Key Characteristics of Project Performance Domains**\n---------------------------------------------------\n\nThe project performance domains are characterized by the following key characteristics:\n\n* **Interconnectedness**: The project performance domains are interconnected and interact with each other to achieve project objectives.\n* **Integration**: The project performance domains are integrated and coordinated to ensure that the project is delivered successfully.\n* **Focus**: Each project performance domain has a specific focus, which is aligned with the project objectives.\n* **Scope**: Each project performance domain has a specific scope, which is aligned with the project objectives.\n\n**Importance of Project Performance Domains**\n------------------------------------------\n\nThe project performance domains are essential for effective project management. They provide a framework for project managers to plan, execute, and control project work, and to ensure that the project is delivered successfully. By understanding and applying the project performance domains, project managers can improve project performance, reduce risks, and achieve project objectives.", + "model": "meta-llama/Llama-3.1-8B-Instruct" + } +} \ No newline at end of file diff --git a/local_neo4jWorkDir/kv_store_text_chunks.json b/local_neo4jWorkDir/kv_store_text_chunks.json new file mode 100644 index 00000000..7d683799 --- /dev/null +++ b/local_neo4jWorkDir/kv_store_text_chunks.json @@ -0,0 +1,740 @@ +{ + "chunk-f8d11681f09ed132eeaf58726b5b85f1": { + "tokens": 1200, + "content": "AND The St/a.alt2nd/a.alt2rd \nfor Project M/a.alt2n/a.alt2gementSeventh Edition\nA /G.alt1/u.alt1ide to the Project \nM/a.alt2n/a.alt2gement Bod/y.alt1 of /K.alt1nowledge\nPMBO/K.alt1® /G.alt1UIDE\nANSI/PMI 99/hyphen.case001/hyphen.case2021GLOBAL STANDARDPMBOK®Guide – Seventh Edition \nAND The Standard for Project Management\nOver the past few years, emerging technology, new approaches, and rapid market changes \ndisrupted our ways of working, driving the project management profession to evolve. Eachindustry, organization and project face unique challenges, and team members must adapttheir approaches to successfully manage projects and deliver results.\nWith this in mind, A Guide to the Project Management Body of Knowledge (PMBOK\n® Guide) – \nSeventh Edition takes a deeper look into the fundamental concepts and constructs of the \nprofession. \nIncluding both The Standard for Project Management and the PMBOK® Guide , this edition \npresents 12 principles of project management and eight project performance domains \nthat are critical for effectively delivering project outcomes. \nThis edition of the PMBOK® Guide :\n• Reflects the full range of development approaches (predictive, traditional, adaptive, \nagile, hybrid, etc.);\n• Devotes an entire section to tailoring development approaches and processes;\n• Expands the list of tools and techniques in a new section, “Models, Methods, and \nArtifacts”;\n• Focuses on project outcomes, in addition to deliverables; and\n• Integrates with PMIstandards +™, giving users access to content that helps them apply \nthe PMBOK® Guide on the job.\nThe result is a modern guide that better enables project team members to be proactive, innovative, and nimble in delivering project outcomes.A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition \nand The Standard for Project Management\nProject Management Institute \nGlobal Headquarters \n14 Campus Boulevard \nNewtown Square, PA 19073 USA \nTel: +1 610 356 4600 \nPMI.org\nPMBOK_Guide_7thED_cover_spread.indd 1PMBOK_Guide_7thED_cover_spread.indd 1 5/3/21 4:57 PM5/3/21 4:57 PMPMI Seventh Edition July 2021THE STANDARD FOR \nPROJECT MANAGEMENT\nandA GUIDE TO THE PROJECT \nMANAGEMENT BODY \nOF KNOWLEDGE\n(PMBOK® GUIDE )\nSeventh Edition\nPMI Seventh Edition July 2021Library of Congress Cataloging-in-Publication Data\nNames: Project Management Institute, publisher. \nTitle: The standard for project management and a guide to the project management body \nof knowledge (PMBOK guide).\nOther titles: Guide to the project management body of knowledge (PMBOK guide) | PMBOK guide \nDescription: Seventh edition. | Newtown Square, Pennsylvania: Proje ct Management Institute, Inc., \n[2021] | Includes bibliographical references and index. | Summary: \"Over the past few years, emerging \ntechnology, new approaches, and rapid market changes disrupted our ways of working, driving \nthe project management professio n to evolve. Each industry, organization and pro ject face unique \nchallenges, and team members mus t adapt their approaches to successfully manage projects and \ndeliver result s. With this in mind, A Guide to the Project Management Body of Kno wledge (PMBOK® \nGuide) - Seventh Edition takes a deeper look into the fundamental concepts and co nstructs of the \nprofession. Incl uding both The Standard for Proje ct Management and the PMBOK® Guide, this edition \npresents 12 princi ples of project management and eight project perfo rmance domains t hat are critical \nfor effectively de livering project outcomes. This edition of the PMBOK® Guide: Reflects t he full range o f \ndevelopment appro aches (predictive, traditional, adaptive, agile, hybrid, etc.); D evotes an entire section \nto tailoring dev elopment approaches and processes; Expands the lis t of tools and t echniques in a ne w \nsection, \"Models, Methods, and Artifacts\"; Focuses on project outco mes, in addition t o deliverables; and \nIntegrates with PMIstandards+, giv ing users acc ess to content that helps them apply the PMBOK® Guide \non the job. The result is a mo dern guide that betters enables project team members to be proactiv e, \ninnovative, and nimble in del ivering project outcomes.\" – Provided by publisher.\nIdentifiers: LCCN 2021011107 (print) | LCCN 2021011108 (ebook) | ISBN 9781628256642 (paperback) \n| ISBN 9781628256659 (epub) | ISBN 9781628256666 (kindle edition) | ISBN 9781628256673 (pdf)\nSubjects: LCSH: Project management–Standards\nClassification: LCC HD69.P75 G845 2021 (print) | LCC HD69.P75 (ebook) | DDC 658.4/04–dc23\nLC record available at https://lccn.loc.gov/2021011107\nLC ebook record available at https://lccn.loc.gov/2021011108\nPMI Seventh Edition July 2021A Guide to the Project Management Body of Knowledge (PMBOK Guide) -- Seventh Edition", + "chunk_order_index": 0, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-bde83da7016beb9786927f8848e159ed": { + "tokens": 1200, + "content": ": LCC HD69.P75 G845 2021 (print) | LCC HD69.P75 (ebook) | DDC 658.4/04–dc23\nLC record available at https://lccn.loc.gov/2021011107\nLC ebook record available at https://lccn.loc.gov/2021011108\nPMI Seventh Edition July 2021A Guide to the Project Management Body of Knowledge (PMBOK Guide) -- Seventh Edition \nand The Standard for Project Management\nISBN: 978-1-62825-664-2Published by: \nProject Management Institute, Inc.\n14 Campus BoulevardNewtown Square, Pennsylvania 19073-3299 USAPhone: +1 610 356 4600Email: customercare@pmi.orgInternet: \nwww.PMI.org\n©2021 Project Management Institute, Inc. All rights reserved.\nOur copyright content is protected by U.S. intellectual property law that is recognized by most \ncountries. To republish or reproduce our content, you must obtain our permission. Please go to http://www.pmi.org/permissions for details.\nPMI, the PMI logo, PMBOK, OPM3, PMP, CAPM, PgMP, PfMP, PMI-RMP, PMI-SP, PMI-ACP, PMI-PBA, \nPROJECT MANAGEMENT JOURNAL, PM NETWORK, PMI TODAY, PULSE OF THE PROFESSION and \nthe slogan MAKING PROJECT MANAGEMENT INDISPENSABLE FOR BUSINESS RESULTS. are all marks \nof Project Management Institute, Inc. For a comprehensive list of PMI trademarks, contact the PMI\n \nLegal Department. All other trademarks, service marks, trade names, trade dress, product names and logos appearing herein are the property of their respective owners. Any rights not expressly granted herein are reserved.\nTo place an order or for pricing information, please contact Independent Publishers Group:\nIndependent Publishers Group\nOrder Department814 North Franklin StreetChicago, IL 60610 USAPhone: 800 888 4741Fax: +1 312 337 5985Email: orders@ipgbook.com (For orders only)\nPrinted in the United States of America. No part of this work may be reproduced or transmitted in any form or by any means, electronic, manual, photocopying, recording, or by any information storage and retrieval system, without prior written permission of the publisher.\nThe paper used in this book complies with the Permanent Paper Standard issued by the National \nInformation Standards Organization (Z39.48—1984).\n10 9 8 7 6 5 4 3 2 1\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021vNotice\nThe Project Management Inst itute , Inc. (PMI) standards and guideline publications, of which \nthe document contained herein is one, are developed through a voluntary consensus standards \ndevelopment process. This pro cess brings together volunteers and/or seeks out the views of persons \nwho have an interest in the to pic cov ered by this publication. While PMI administers the process \nand establishes rules to promo te fairness in the development o f consensus, it does not write the \ndocument and it does not independently test, evaluate, or verify the accuracy or completeness of any \ninformation or the soundness of any judgments contained in its standards and guideline publicati ons.\nPMI disclaims liability for any personal injury, property or other damages of any nature \nwhatsoever, whether special, indirect, consequential or compensato ry, directly or indirectly resulting \nfrom the publication, use of application, or reliance on this document. PMI disclaims and makes no \nguaranty or warranty, expresse d or implied, as to the accuracy or co mpleteness of any informatio n \npublished herein, and disclaims and makes no warranty that the info rmation in this document wi ll \nfulfill any of your particular purposes or needs. PMI does not undertake to guarantee the perfo rmance \nof any individual manufacturer or se ller’s products or services by vi rtue of this standard or guide.\nIn publishing and making this document available, PMI is not undertaking to render professional \nor other services for or on behalf of any person or entity, no r is PMI undertaking to perform any \nduty owed by any person or entity to someone else. Anyone using t his do cument should rely on his \nor her own independent judgment or, as appropriate, seek the advice of a competent professional \nin determining the exercise o f reasonable care in any given circum stances. Information and other \nstandards on the topic covered by this publication may be avail able from other sources, which t he \nuser may wish to consult for additional views or information no t covered by this publication.\nPMI has no power, nor does it undertake to police or enforce compliance with the contents of \nthis document. PMI does not certify, test, or inspect products, designs, or installa tions for safety or \nhealth purposes. Any certification or other statement of compliance with any health or safety-related \ninformation in this document shall not be attributable to PMI and is solely the responsibility of the \ncertifier or maker of the statement.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021viiPreface\nEach time work begins on a new edition of The Standard for Project Management and the \nPMBOK® Guide, there is an opportunity to consider global perspectives on changes in project \nmanagement and the approaches used for realizing benefits and value from project outputs. In \nthe time between every edition, a world of change has occurred. Some organizations have ceased to exist, and new organizations have emerged. Older technologies have reached end of life while technologies offering completely new capabilities have evolved. People who continue", + "chunk_order_index": 1, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-1825beeb96ba1ad111e267487c767fae": { + "tokens": 1200, + "content": "ace\nEach time work begins on a new edition of The Standard for Project Management and the \nPMBOK® Guide, there is an opportunity to consider global perspectives on changes in project \nmanagement and the approaches used for realizing benefits and value from project outputs. In \nthe time between every edition, a world of change has occurred. Some organizations have ceased to exist, and new organizations have emerged. Older technologies have reached end of life while technologies offering completely new capabilities have evolved. People who continue in the workforce have advanced their thinking, skills, and capabilities as new entrants focus on quickly understanding their professional language, building their skills, developing their business acumen, and contributing to the objectives of their employers.\nEven in the midst of such changes, though, there are fundamental concepts and constructs \nthat remain in place. The understanding that collective thinking produces more holistic solutions than the thoughts of one individual continues. And the fact that organizations use projects as \na vehicle for delivering a unique result or output endures.\nCUSTOMER- AND END-USER-CENTERED DESIGN\nWhile the Sixth Edition of the PMBOK® Guide was under development and throughout development \nof this Seventh Edition, PMI has actively engaged with a broad range of global stakeholders on their experiences with using The Standard for Project Management and the PMBOK\n® Guide. These engagements \nhave included:\n▶Online surveys to representative samples of PMI stakeholders;\n▶Focus groups with PMO leaders, project managers, agile practitioners, project team\nmembers, and educators and trainers; and\n▶Interactive workshops with practitioners at various PMI events around the globe.\nPMI Seventh Edition July 2021viiiThe feedback and inputs collectively emphasized four key points:\n▶Maintain and enhance the credibility and relevance of the PMBOK® Guide.\n▶Improve the readability and usefulness of the PMBOK® Guide while avoiding overstuffing\nit with new content.\n▶Sense stakeholder information and content needs and provide vetted supplemental\ncontent supporting practical application.\n▶Recognize that there is continued value for some stakeholders in the structure and content\nof previous editions so that any shifts enhance without negating that value.\nSUSTAINING THE RELEVANCE OF THE PMBOK® GUIDE\nSince its inception as the Project Management Body of Knowledge (PMBOK) in 1987, A Guide to the \nProject Management Body of Knowledge (PMBOK® Guide) has evolved while recognizing that fundamental \nelements of project management endure. Its evolution has not just involved an increase in the page \ncount, it has also involved significant and substantive changes in the nature of the content. A sampling of some of those key changes is reflected in the following table:\nPMI Seventh Edition July 2021ixEvolution of Key Changes in the PMBOK® Guide\nPMBOK® Guide\nEditionKey Evolutionary Changes\n•Distinguished as “a guide to the body of knowledge, ” rather than the body of knowledge for project\nmanagement.\n•Reflected the subset of the project management body of knowledge that is “generally accepted, ” \nmeaning applicable to most projects most of the time with widespread consensus that practices ha ve\nvalue and usefulness.\n•Defined project management as “the application of knowledge, skills, tools, and techniques to project\nactivities in order to meet or exceed stakeholder needs and expectations [emphasis added] from\na project. ”\n•Specific decision to shift to a process-based standard driven by a desire to show interactions among\nKnowledge Areas; create a robust and flexible structure; and recognize that ISO and other standardsorganizations were establishing process-based standards.\n•First edition to incorporate the “ANSI Standard” logo on the co ver.\n•First edition to formally designate The Standard for Project Management of a Project separate and\ndistinct from the Project Management Frame work and Body of Knowledge.\n•Included material “generally recognized as good practice on most projects most of the time. ”\n•Defined project management as “the application of knowledge, skills, tools, and techniques to project\nactivities to meet the project requirements.”\n•First edition to make a distinct separation between the ANSI standard and the guide.\n•First time “agile” content is incorporated into the text, not just referenced in examples.\n•Expansion of Knowledge Area front material, including ke y concepts, trends and emerging practices, \ntailoring considerations, and considerations for agile/adaptive environments.1996\nThird (2004)\nSixth (2017)\nPMI Seventh Edition July 2021xLike previous editions of The Standard for Project Management and the PMBOK® Guide, this \nedition recognizes that the project management landscape continues to evolve and adapt. Over the \npast 10 years alone, the advancement of software into all types of products, services, and solutions has grown exponentially. What software can enable continues to change as artificial intelligence, cloud-based capabilities, and new business models drive innovation and new ways of working. Transformed organizational models have yielded new project work and team structures, the need for a broad range of approaches to project and product delivery, and a stronger focus on outcomes rather than deliverables. Individual contributors can join project teams from anywhere in the world, serve in a broader array of roles, and enable new ways of thinking and working collaboratively. These changes and more have created this opportunity to reconsider perspectives to support the continued evolution of The Standard for Project Management and the PMBOK\n® Guide.\nSUMMARY OF CHANGES\nSince 1987, The Standard for Project Management has represented a process-based standard. \nThe Standard for Project Management included in the PMBOK® Guide aligned the project management \ndiscipline and function around a collection of business processes. Those business processes enabled consistent and predictable practices:\n▶That could be documented;\n▶Through which performance against the processes could be assessed; and\n▶Through which improvements to the process could be made to maximize efficiency\nand minimize threats.", + "chunk_order_index": 2, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-33129517ec75c9226be70bcc19911a39": { + "tokens": 1200, + "content": "SUMMARY OF CHANGES\nSince 1987, The Standard for Project Management has represented a process-based standard. \nThe Standard for Project Management included in the PMBOK® Guide aligned the project management \ndiscipline and function around a collection of business processes. Those business processes enabled consistent and predictable practices:\n▶That could be documented;\n▶Through which performance against the processes could be assessed; and\n▶Through which improvements to the process could be made to maximize efficiency\nand minimize threats.\nWhile effective in supporting good practice, process-based standards are prescriptive by their \nvery nature. With project management evolving more rapidly than ever before, the process-based orientation of past editions cannot be maintained in a manner conducive to reflecting the full value delivery landscape. Therefore, this edition shifts to a principles-based standard to support effective project management and to focus more on intended outcomes rather than deliverables.\nPMI Seventh Edition July 2021xiA global community of practitioners from different industries and organizations, in different \nroles, and working on different types of projects have developed and/or provided feedback on drafts \nof the standard as it has evolved for this edition. In addition, the PMBOK® Guide – Seventh Edition \ncoleaders and staff reviewed other bodies of knowledge and works focused on project management \nto identify principle concepts embedded in those texts. These combined e fforts showed strong \nalignment and supported the validation that the guiding principles in this edition of the standard \napply across the spectrum of project management.\nTo date, the global project management community has embraced the shift of this standard \ntoward a set of principle statements. The principle statements capture and summarize generally \naccepted objectives for the practice of project management and its core functions. The principle \nstatements provide broad parameters within which project teams can operate and o ffer many ways \nto remain aligned with the intent of the principles.\nUsing these principle statements, PMI can reflect effective management of projects across the \nfull value delivery landscape: predictive to adaptive and everything in between. This principles-based \napproach is also consistent with the evolution of The Standard for Program Management (Third and \nFourth Editions) and The Standard for Portfolio Management – Fourth Edition. The Standard for Risk \nManagement in Portfolios, Programs, and Projects and Benefits Realization Management: A Practice Guide \nrepresent new standard products intentionally developed with a principles-based focus by global \nteams of subject matter experts.\nNothing in this edition of The Standard for Project Management or A Guide to the Pr oject \nManagement Body o f Knowledge negates alignment with the process-base d approach of past \neditions. Many organizations and practitioners co ntinue to find that approach useful for guiding \ntheir project management capabilities, aligning their methodologi es, and evaluating their project \nmanagement capabilities. That appro ach remains relev ant in the context of this new edi tion.\nAnother significant change with this edition of the PMBOK® Guide is a systems view of project \nmanagement. This shift begins with a systems view of value delivery as part of The Standard for \nProject Management and continues with the presentation of the PMBOK® Guide content. A systems \nfocus for value delivery changes the perspective from one of governing portfolios, programs, and \nprojects to focusing on the value chain that links those and other business capabilities to advancing \norganizational strategy, value, and business objectives. In the context of project management, \nThe Standard for Project Management and the PMBOK® Guide emphasize that projects do not simply \nproduce outputs, but more importantly, enable those outputs to drive outcomes that ultimately \ndeliver value to the organization and its stakeholders.\nPMI Seventh Edition July 2021xiiThis systems vie w reflects a shift from the Knowledge Areas in past editions of t he PMBOK® Guide \nto eight project pe rformance domains. A performance domain is a gro up of related activities that are \ncritical for the effective delivery of project outcomes. Collectively, the performance domains represent \na project manageme nt system of int eractive, interrelated, and int erdependent management capabilitie s \nthat work in uniso n to achieve desired project outcomes. As the performance domains interact and react \nto each other, change occurs. Project teams continuously review, discuss, adapt, and respond to such \nchanges with the whole system in mind—not just the s pecific performance domain in which the change \noccurred. Aligned with the concept of a system for v alue delivery in The Standard f or Project Management , \nteams evaluate effective performanc e in each performance domain thro ugh outcomes-fo cused \nmeasures, rather than through adhe rence to processes or the product ion of artifacts , plans, etc.\nPrevious editions of the PMBOK® Guide emphasized the importance of tailoring the project \nmanagement approach to the unique characteristics of each project and its context. The Sixth \nEdition specifically incorporated considerations to help project teams think about how to tailor their \napproach to project management. That content was included in the front matter of each of the \nKnowledge Areas and provided considerations for all types of project environments. This edition \nfurther expands upon that work with a dedicated section on Tailoring in the PMBOK® Guide.\nA new section on Models, Methods, and Artifacts provides a high-level grouping of models, \nmethods, and artifacts that support project management. This section maintains linkages to \ntools, techniques, and outputs from previous editions that support project management without \nprescribing when, how, or which tools teams should use.\nThe final change reflects the most significant advancement in the PMBOK® Guide’s history— \nthe creation of PMIstandards+™, an interactive digital platform that incorporates current, emerging, \nand future practices, methods, artifact s, and other useful informatio n. The digital content bet ter \nreflects the dynamic nature of a bo dy of knowledge. PMIstandards", + "chunk_order_index": 3, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-08fbaf6da6637ad7f96bc2aebdb3b76a": { + "tokens": 1200, + "content": "and outputs from previous editions that support project management without \nprescribing when, how, or which tools teams should use.\nThe final change reflects the most significant advancement in the PMBOK® Guide’s history— \nthe creation of PMIstandards+™, an interactive digital platform that incorporates current, emerging, \nand future practices, methods, artifact s, and other useful informatio n. The digital content bet ter \nreflects the dynamic nature of a bo dy of knowledge. PMIstandards + provides project practitioners \nand o ther stakeholders with access to a richer and broader range o f info rmation and resources \nthat can more quickly accommodate advances and changes in proje ct management. The content \nexplai ns how specific practices, met hods, or artifacts apply to projects based on industry segments, \nproject types, or other characteristics. Starting with the inputs, tools and techniques, and outputs \nfrom the PMBOK® Guide – Sixth Edition, PMIstandards+ will continue to incorporate new resources \nthat support continued evoluti on in project management. Going fo rward, users of The Standard \nfor Project Management and the PMBOK® Guide can find information i n PMIstandards+ that will \nsupplement the information included in the printed publication.\nThe following figure illustrates the revision to The Standard for Project Management and \nmigration from the Sixth to the Seventh Edition of the PMBOK® Guide, along with the connection \nto the PMIstandards+ digital platform.\nPMI Seventh Edition July 2021xiii•The platform links to the PMBOK® Guide via the Models, Methods, and Artifacts section while further expanding on that content.\n•Platform incorporates content from all PMI standards as well as content developed specifically for the platform.\n•Content reflects “how to…” in actual practice, including emerging practices.PMBOK® Guide – Sixth Edition\nA Guide to the Project Management \nBody of Knowledge:\n• Introduction, Project Environment, and Role of the \nProject Manager\n• Knowledge Areas\n• Integration \n• Scope• Schedule• Cost• Quality• Resources• Communications• Risk• Procurement• Stakeholders\nThe Standard for Project Management:\n• Initiating\n• Planning• Executing• Monitoring and Controlling• Closing\nAppendixes, Glossar y, and IndexPMBOK® Guide – Seventh Editio n\nThe Standard for Project Management:\n• Introduction\n• System for Value Delivery• Project Management Principles\n• Stewardship • Tailoring\n• Team • Quality\n• Stakeholders • Complexity• Value • Risk \n• Systems Thinking • Adaptability and Resiliency• Leadership • Change\nA Guide to the Project Management \nBody of Knowledge:\n• Project Performance Domains:\n•Tailoring\n• Models, Methods, and Artifacts\nAppendixes, Glossar y, and Index• Stakeholders\n•Team\n• Development\nApproach andLife Cycle•Planning\n•Project Wo rk\n•Delivery\n•Measurement\n•Uncertainty\nPMIstandards+TM Digital Content Platfor m\nRevision to The Standard for Project Management and Migration from the Sixth Edition to the Seventh \nEdition of the PMBOK® Guide and the PMIstandards+TM Digital Content Platform\nPMI Seventh Edition July 2021xivCONCLUSION\nThe Standard for Project Management and the PMBOK® Guide – Seventh Edition respond to all four \nelements that stakeholders have emphasized in their feedback. The revision maintains and enhances \nthe credibility and relevance of the PMBOK® Guide. It improves the readability and usefulness of the \nPMBOK® Guide. It recognizes that there is continued value for some stakeholders in the structure and \ncontent of previous editions and enhances the content in this edition without negating that value. Most importantly, it links with the PMIstandards+ digital content platform to respond to stakeholders’ needs with vetted supplemental content that supports practical application.\nPMI Seventh Edition July 2021xvTable of Contents\nTHE STANDARD FOR PROJECT MANAGEMENT\n1 INTRODUCTION .................................................................................. 3\n1.1 Purpose of The Standard for Project Management ..................... 3\n1.2 Key Terms and Concepts ............................................................ 4\n1.3 Audience for this Standard ......................................................... 5\n2 A SYSTEM FOR VALUE DELIVERY ....................................................... 7\n2.1 Creating Value ............................................................................ 7\n2.1.1 Value Delivery Components .............................................. 8\n2.1.2 Information Flow ............................................................ 11\n2.2 Organizational Governance Systems ........................................ 12\n2.3 Functions Associated with Projects .......................................... 12\n2.3.1 Provide Oversight and Coordination ............................... 13\n2.3.2 Present Objectives and Feedback ................................... 13\n2.3.3 Facilitate and Support .................................................... 14\n2.3.4 Perform Work and Contribute Insights ........................... 14\n2.3.5 Apply Expertise .............................................................. 15\n2.3.6 Provide Business Direction and Insight ........................... 15\n2.3.7 Provide Resources and Direction .................................... 15\n2.3.8 Maintain Governance ...................................................... 16\n2.4 The Project Environment .......................................................... 16\n2.4.1 Internal Environment ...................................................... 16\n2.4.2 External Environment ..................................................... 18\n2.5 Product Management Considerations ....................................... 18\nPMI Seventh Edition July 2021xvi3 PROJECT MANAGEMENT PRINCIPLES .............................................. 21\n3.1 Be a Diligent, Respectful, and Caring Steward ........................ 24\n3.2 Create a Collaborative Project Team Environment .................. 28\n3.3 Effectively Engage", + "chunk_order_index": 4, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8fd6153c87efa1b35a7231b74a69c369": { + "tokens": 1200, + "content": "...................................................... 16\n2.4.2 External Environment ..................................................... 18\n2.5 Product Management Considerations ....................................... 18\nPMI Seventh Edition July 2021xvi3 PROJECT MANAGEMENT PRINCIPLES .............................................. 21\n3.1 Be a Diligent, Respectful, and Caring Steward ........................ 24\n3.2 Create a Collaborative Project Team Environment .................. 28\n3.3 Effectively Engage with Stakeholders .................................... 31\n3.4 Focus on Value ........................................................................ 34\n3.5 Recognize, Evaluate, and Respond to System Interactions .....37\n3.6 Demonstrate Leadership Behaviors ........................................ 40\n3.7 Tailor Based on Context .......................................................... 44\n3.8 Build Quality into Processes and Deliverables ........................ 47\n3.9 Navigate Complexity .............................................................. 50\n3.10 Optimize Risk Responses ........................................................ 53\n3.11 Embrace Adaptability and Resiliency ...................................... 55\n3.12 Enable Change to Achieve the Envisioned Future State ......... 58\nReferences ...................................................................................... 60\nINDEX ................................................................................................... 61\nPMI Seventh Edition July 2021xviiA GUIDE TO THE PROJECT MANAGEMENT \nBODY OF KNOWLEDGE (PMBOK® GUIDE)\n1.INTRODUCTION ................................................................................. 3\n1.1 Structure of the PMBOK® Guide ............................................... 3\n1.2 Relationship of the PMBOK® Guide \n and The Standard for Project Management ............................... 4\n1.3 Changes to the PMBOK® Guide ................................................ 6\n1.4 Relationship to PMIstandards+ ................................................. 6\n2.PROJECT PERFORMANCE DOMAINS ................................................. 7\n2.1 Stakeholder Performance Domain ............................................ 8\n2.1.1 Stakeholder Engagement .............................................. 10\n2.1.2 Interactions with Other Performance Domains .............. 14\n2.1.3 Checking Results ........................................................... 15\n2.2 Team Performance Domain ....................................................... 16\n2.2.1 Project Team Management and Leadership ................... 17\n2.2.2 Project Team Culture ..................................................... 20\n2.2.3 High-Performing Project Teams ..................................... 22\n2.2.4 Leadership Skills ........................................................... 23\n2.2.5 Tailoring Leadership Styles ............................................ 30\n2.2.6 Interactions with Other Performance Domains .............. 31\n2.2.7 Checking Results ........................................................... 31\n2.3 Development Approach and Life Cycle \nPerformance Domain ................................................................ 32\n2.3.1 Development, Cadence, and Life Cycle Relationship .....33\n2.3.2 Delivery Cadence .......................................................... 33\n2.3.3 Development Approaches ............................................. 35\n2.3.4 Considerations for Selecting \na Development Approach .............................................. 39\n2.3.5  Life  Cycle and Phase Definitions .................................... 42\n2.3.6 Aligning of Delivery Cadence, Development \nApproach, and Life Cycle ............................................... 46\n2.3.7 Interactions with Other Performance Domains .............. 49\n2.3.8 Measuring Outcomes .................................................... 50\nPMI Seventh Edition July 2021xviii2.4 Planning Performance Domain ................................................. 51\n2.4.1 Planning Overview ........................................................ 52\n2.4.2 Planning Variables ......................................................... 53\n2.4.3 Project Team Composition and Structure ....................... 63\n2.4.4 Communication ............................................................. 64\n2.4.5 Physical Resources ........................................................ 65\n2.4.6 Procurement ................................................................. 65\n2.4.7 Changes ........................................................................ 66\n2.4.8 Metrics .......................................................................... 66\n2.4.9 Alignment ..................................................................... 67\n2.4.10 Interactions with Other Performance Domains .............. 67\n2.4.11 Checking Results ........................................................... 68\n2.5 Project Work Performance Domain .......................................... 69\n2.5.1 Project Processes .......................................................... 71\n2.5.2 Balancing Competing Constraints .................................. 72\n2.5.3 Maintaining Project Team Focus .................................... 73\n2.5.4 Project Communications and Engagement .................... 73\n2.5.5 Managing Physical Resources ........................................ 73\n2.5.6 Working with Procurements .......................................... 74\n2.5.7 Monitoring New Work and Changes .............................. 76\n2.5.8 Learning throughout the Project ................................... 77\n2.5.9 Interactions with Other Performance Domains .............. 78\n2.5.10 Checking Results ........................................................... 79\n2.6 Delivery Performance Domain .................................................. 80\n2.6.1 Delivery of Value ........................................................... 81\n2.6.2 Deliverables .................................................................. 82\n2.6.3 Quality .......................................................................... 87\n2.6.4 Suboptimal Outcomes ................................................... 91\n2.6.5 Interactions with Other Performance Domains .............. 91", + "chunk_order_index": 5, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-45faeb8b21a647d45c26f91db747c532": { + "tokens": 1200, + "content": "10 Checking Results ........................................................... 79\n2.6 Delivery Performance Domain .................................................. 80\n2.6.1 Delivery of Value ........................................................... 81\n2.6.2 Deliverables .................................................................. 82\n2.6.3 Quality .......................................................................... 87\n2.6.4 Suboptimal Outcomes ................................................... 91\n2.6.5 Interactions with Other Performance Domains .............. 91\n2.6.6 Checking Results ........................................................... 92\n2.7 Measurement Performance Domain .......................................... 93\n2.7.1 Establishing Effective Measures .................................... 95\n2.7.2 What to Measure .......................................................... 98\n2.7.3 Presenting Information ............................................... 106\nPMI Seventh Edition July 2021xix2.7.4 Measurement Pitfalls ................................................... 111\n2.7.5 Troubleshooting Performance ..................................... 113\n2.7.6 Growing and Improving .............................................. 114\n2.7.7 Interactions with Other Performance Domains ............ 114\n2.7.8 Checking Results ......................................................... 115\n2.8 Uncertainty Performance Domain ........................................... 116\n2.8.1 General Uncertainty .................................................... 119\n2.8.2 Ambiguity ................................................................... 120\n2.8.3 Complexity .................................................................. 120\n2.8.4 Volatility ..................................................................... 122\n2.8.5 Risk ............................................................................. 122\n2.8.6 Interactions with Other Performance Domains ............ 128\n2.8.7 Checking Results ......................................................... 129\n3.TAILORING ..................................................................................... 131\n3.1 Overview ............................................................................... 131\n3.2 Why Tailor? ............................................................................ 133\n3.3 What to Tailor ........................................................................ 134\n3.3.1 Life Cycle and Development Approach Selection ........ 134\n3.3.2 Processes .................................................................... 135\n3.3.3 Engagement ................................................................ 136\n3.3.4 Tools ........................................................................... 136\n3.3.5 Methods and Artifacts ................................................ 136\n3.4 The Tailoring Process .............................................................. 137\n3.4.1 Select Initial Development Approach .......................... 138\n3.4.2 Tailor for the Organization .......................................... 139\n3.4.3 Tailor for the Project ................................................... 141\n3.5 Tailoring the Performance Domains ........................................ 145\n3.5.1 Stakeholders ............................................................... 147\n3.5.2 Project Team ............................................................... 147\n3.5.3 Development Approach and Life Cycle ........................ 148\n3.5.4 Planning ...................................................................... 148\n3.5.5 Project Work ............................................................... 149\n3.5.6 Delivery ...................................................................... 149\nPMI Seventh Edition July 2021xx3.5.7 Uncertainty ................................................................. 150\n3.5.8 Measurement .............................................................. 150\n3.6 Diagnostics ............................................................................. 151\n3.7 Summary ................................................................................ 152\n4.MODELS, METHODS, AND ARTIFACTS ........................................... 153\n4.1 Overview ............................................................................... 153\n4.2 Commonly Used Models ......................................................... 155\n4.2.1 Situational Leadership Models .................................... 155\n4.2.2 Communication Models ............................................... 157\n4.2.3 Motivation Models ...................................................... 158\n4.2.4 Change Models ........................................................... 160\n4.2.5 Complexity Models ..................................................... 164\n4.2.6 Project Team Development Models ............................. 166\n4.2.7 Other Models .............................................................. 168\n4.3 Models Applied Across Performance Domains ....................... 172\n4.4 Commonly Used Methods ...................................................... 174\n4.4.1 Data Gathering and Analysis ....................................... 174\n4.4.2 Estimating ................................................................... 178\n4.4.3 Meetings and Events ................................................... 179\n4.4.4 Other Methods ........................................................... 181\n4.5 Methods Applied Across Performance Domains ..................... 181\n4.6 Commonly Used Artifacts ....................................................... 184\n4.6.1 Strategy Artifacts ....................................................... 184\n4.6.2 Logs and Registers ...................................................... 185\n4.6.3 Plans ........................................................................... 186\n4.6.4 Hierarchy Charts ......................................................... 187\n4.6.5 Baselines ..................................................................... 188\n4.6.6 Visual Data and Information ........................................ 188\n4.6.7 Reports ....................................................................... 190\n4.6.8 Agreements and Contracts .......................................... 191\n4.6.9 Other Artifacts ............................................................ 192\n4.7 Artifacts Applied Across Performance Domains ..................... 192\nReferences .................................................................................... 196\nPMI Seventh Edition July 2021xxiAPPENDIX X1 \nCONTRIBUTORS AND REVIEWERS OF \nTHE ST\nANDARD FOR PROJECT MANAGEMENT AND \nA GUIDE TO THE PROJECT MANAGEMENT BODY", + "chunk_order_index": 6, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-cf0dabf0b7f26615ee081e34d3b6c293": { + "tokens": 1200, + "content": "....... 190\n4.6.8 Agreements and Contracts .......................................... 191\n4.6.9 Other Artifacts ............................................................ 192\n4.7 Artifacts Applied Across Performance Domains ..................... 192\nReferences .................................................................................... 196\nPMI Seventh Edition July 2021xxiAPPENDIX X1 \nCONTRIBUTORS AND REVIEWERS OF \nTHE ST\nANDARD FOR PROJECT MANAGEMENT AND \nA GUIDE TO THE PROJECT MANAGEMENT BODY\n \nOF KNOWLEDGE – SEVENTH EDITION .............................................. 197\nX1.1 Contributors ....................................................................... 197\nX1.2 PMI Staff ............................................................................ 206\nAPPENDIX X2 \nSPONSOR ............................................................................................ 207\nX2.1 Introduction ....................................................................... 207\nX2.2 The Sponsor Role ............................................................... 207\nX2.3 Lack of Engagement ........................................................... 208\nX2.4 Sponsor Behaviors .............................................................. 209\nX2.5 Conclusion .......................................................................... 210\nX2.6 Suggested Resources ......................................................... 210\nAPPENDIX X3 \nTHE PROJECT MANAGEMENT OFFICE ............................................... 211\nX3.1 Introduction ....................................................................... 211\nX3.2 The PMO Value Proposition—Why Have One? ................... 211\nX3.3 Key PMO Capabilities ........................................................ 213\nX3.4  Evolving  for Stronger  Benefits  Realization ......................... 214\nX3.5 Learn More about PMOs .................................................... 215\nX3.6 Suggested Resources ......................................................... 215\nAPPENDIX X4 \nPRODUCT ............................................................................................ 217\nX4.1 Introduction ....................................................................... 217\nX4.2 Global Market Shifts .......................................................... 219\nX4.3 Impact on Project Delivery Practices .................................. 221\nX4.4 Organizational Considerations \nfor Product Management ................................................... 221\nX4.5 Summary ............................................................................ 225\nX4.6 Suggested Resources ......................................................... 225\nPMI Seventh Edition July 2021xxiiAPPENDIX X5 \nRESEARCH AND DEVELOPMENT FOR \nTHE ST\nANDARD FOR PROJECT MANAGEMENT ................................. 227\nX5.1 Introduction ....................................................................... 227\nX5.2 The Move to a Principle-Based Standard ............................ 227\nX5.3 Research for The Standard for Project Management .......... 228\nX5.4 Standard Development Process .......................................... 229\nX5.5 Validating the Standard ...................................................... 230\nX5.6 Summary ............................................................................ 232\nGLOSSARY .......................................................................................... 233\n1.Inclusions and Exclusions .......................................................... 233\n2.Common Acronyms .................................................................. 234\n3.Definitions ................................................................................ 235\nINDEX ................................................................................................. 255\nPMI Seventh Edition July 2021xxiiiList of Figures and Tables\nTHE STANDARD FOR PROJECT MANAGEMENT\nFigure 2-1. Example of a System for Value Delivery ........................... 9\nFigure 2-2. Components of a Sample System for Value Delivery ......10\nFigure 2-3. Example of Information Flow ......................................... 11\nFigure 2-4. Sample Product Life Cycle .............................................. 19\nFigure 3-1. Overlap of Project Management \nand General Management Principles .............................. 22\nFigure 3-2. Be a Diligent, Respectful, and Caring Steward ............... 24\nFigure 3-3. Create a Collaborative Project Team Envir onment .......... 28\nFigure 3-4. Effectively Engage with Stakeholders ............................ 31\nFigure 3-5. Focus on Value ............................................................... 34\nFigure 3-6. Recognize, Evaluate, and Respond \nto System Interactions .................................................... 37\nFigure 3-7. Demonstrate Leadership Behaviors ................................ 40\nFigure 3-8. Tailor Based on Context ................................................. 44\nFigure 3-9. Build Quality into Processes and Deliverables ................ 47\nFigure 3-10. Navigate Complexity ...................................................... 50\nFigure 3-11. Optimize Risk Responses ................................................ 53\nFigure 3-12. Embrace Adaptability and Resiliency .............................. 55\nFigure 3-13. Enable Change to Achieve \nthe Envisioned Future State ........................................... 58\nPMI Seventh Edition July 2021xxivA GUIDE TO THE PROJECT MANAGEMENT \nBODY OF KNOWLEDGE (PMBOK® GUIDE)\nFigure 1-1. Relationship between Project Management \nPrinciples and Project Performance Domains .................... 5\nFigure 2-1. Stakeholder Performance Domain .................................... 8\nFigure 2-2. Examples of Project Stakeholders .................................... 9\nFigure 2-3. Navigating Effective Stakeholder Engagement .............. 10\nFigure 2-4. Team Performance Domain ............................................. 16\nFigure 2-5. Components of Emotional Intelligence ........................... 27\nFigure 2-6. Development Approach and Life Cycle \nPerformance Domain ...................................................... 32\nFigure 2-7. Development Approaches .............................................. 35\nFigure 2-8. Iterative", + "chunk_order_index": 7, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-2bfefa299c515a079032bda84841b201": { + "tokens": 1200, + "content": "2-3. Navigating Effective Stakeholder Engagement .............. 10\nFigure 2-4. Team Performance Domain ............................................. 16\nFigure 2-5. Components of Emotional Intelligence ........................... 27\nFigure 2-6. Development Approach and Life Cycle \nPerformance Domain ...................................................... 32\nFigure 2-7. Development Approaches .............................................. 35\nFigure 2-8. Iterative and Incremental Development .......................... 37\nFigure 2-9. Sample Predictive Life Cycle .......................................... 43\nFigure 2-10. Life Cycle with an Incremental \nDevelopment Approach .................................................. 44\nFigure 2-11. Life Cycle with Adaptive Development Approach .......... 45\nFigure 2-12. Community Center Life Cycle ......................................... 48\nFigure 2-13. Planning Performance Domain ........................................ 51\nFigure 2-14. Estimate Range Decreases over Time ............................. 56\nFigure 2-15. Low Accuracy, High Precision ......................................... 56\nFigure 2-16. Fast Tracking Examples .................................................. 60\nFigure 2-17. Release and Iteration Plan .............................................. 61\nFigure 2-18. Budget Build Up ............................................................. 63\nFigure 2-19. Project Work Performance Domain ................................. 69\nFigure 2-20. Delivery Performance Domain ........................................ 80\nFigure 2-21. Scenario for Developing a Smart Watch ........................ 86\nFigure 2-22. Cost of Change Curve .................................................... 90\nFigure 2-23. Measurement Performance Domain ................................ 93\nFigure 2-24. Earned Value Analysis Showing Schedule \nand Cost Variance ......................................................... 101\nFigure 2-25. Mood Board ................................................................. 103\nFigure 2-26. Forecast of Estimate at Completion \nand Estimate to Complete ............................................ 105\nPMI Seventh Edition July 2021xxvFigure 2-27. Dashboard Example ...................................................... 107\nFigure 2-28. Information Radiator .................................................... 108\nFigure 2-29. Task Board or Kanban Board ........................................ 110\nFigure 2-30. Burnup Chart ................................................................ 111\nFigure 2-31. Planned and Actual Spend Rates .................................. 113\nFigure 2-32. Uncertainty Performance Domain ................................. 116\nFigure 2-33. Risk Reduction over Time ............................................. 124\nFigure 2-34. Risk-Adjusted ROI Curve ............................................. 126\nFigure 3-1. Details of the Steps in the Tailoring Process ................. 137\nFigure 3-2. Selecting the Initial Development Approach ................. 138\nFigure 3-3. Tailoring the Approach for the Organization ................ 139\nFigure 3-4. Assessing the Organizational and Project Factors \nWhen Tailoring .............................................................. 140\nFigure 3-5. Tailoring the Approach for the Project ......................... 143\nFigure 3-6. Implement Ongoing Improvement ................................ 144\nFigure 3-7. The Tailoring Process .................................................... 145\nFigure 3-8. Tailoring to Fit the Project Context .............................. 146\nFigure 4-1. Tailoring to Fit the Project Context \nand Environment .......................................................... 154\nFigure X4-1. Global Business  Trends Influencing  \nthe Management of Products ....................................... 219\nFigure X4-2. The Changing Relationship Between \nan Organization and Its Customers ............................... 220\nFigure X4-3. Supporting Strategies for Continuous \nValue Delivery .............................................................. 222\nTable 2-1. Types of Communication ................................................. 13\nTable 2-2. Checking Outcomes—Stakeholder \nPerformance Domain ...................................................... 15\nTable 2-3. Checking Outcomes—Team Performance Domain ........... 31\nTable 2-4. Delivery Cadence and Development Approach ............... 46\nTable 2-5. Checking Outcomes—Development Approach \nand Life Cycle Performance Domain ............................... 50\nTable 2-6. Checking Outcomes—Planning \nPerformance Domain ...................................................... 68\nPMI Seventh Edition July 2021xxviTable 2-7. Checking Outcomes—Project Work \nPerformance Domain ...................................................... 79\nTable 2-8. Checking Outcomes—Delivery \nPerformance Domain ...................................................... 92\nTable 2-9. Checking Outcomes—Measurement \nPerformance Domain .................................................... 115\nTable 2-10. Checking Outcomes—Uncertainty \nPerformance Domain .................................................... 129\nTable 3-1. Common Situations and Tailoring Suggestions .............. 151\nTable 4-1. Mapping of Models Likely to Be Used \nin Each Performance Domain ........................................ 173\nTable 4-2. Mapping of Methods Likely to Be Used \nin Each Performance Domain ........................................ 182\nTable 4-3. Mapping of Artifacts Likely to Be Used \nin Each Performance Domain ........................................ 193\nTable X4-1. Views of Project and Product Management .................. 217\nTable X4-2. Unique Characteristics of", + "chunk_order_index": 8, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-ea51244bb104729050a518362f1e54d1": { + "tokens": 1200, + "content": "of Models Likely to Be Used \nin Each Performance Domain ........................................ 173\nTable 4-2. Mapping of Methods Likely to Be Used \nin Each Performance Domain ........................................ 182\nTable 4-3. Mapping of Artifacts Likely to Be Used \nin Each Performance Domain ........................................ 193\nTable X4-1. Views of Project and Product Management .................. 217\nTable X4-2. Unique Characteristics of Projects, \nPrograms, and Products ............................................... 224\nPMI Seventh Edition July 2021THE \nSTANDARD FOR PROJECT MANAGEMENT\nPMI Seventh Edition July 2021PMI Seventh Edition July 20213Introduction\nThe Standard for Project Management identifies project management principles that guide the \nbehaviors and actions of project professionals and other stakeholders who work on or are engaged \nwith projects.\nThis introductory section describes the purpose of this standard, defines key terms and \nconcepts, and identifies the audience for the standard.\nThe Standard for Project Management consists of the following sections:\n▶Section 1 Introduction\n▶Section 2 A System for Value Delivery\n▶Section 3 Project Management Principles\n1.1 PURPOSE OF THE STANDARD FOR PROJECT MANAGEMENT\nThe Standard for Project Management provides a basis for understanding project management \nand how it enables intended outcomes. This standard applies regardless of industry, location, size, or delivery approach, for example, predictive, hybrid, or adaptive. It describes the system within which projects operate, including governance, possible functions, the project environment, and considerations for the relationship between project management and product management.1\nPMI Seventh Edition July 20214\nThe Standard for Project Management1.2 KEY TERMS AND CONCEPTS\nThe Standard for Project Management reflects the progression of the profession. Organizations \nexpect projects to deliver outcomes in addition to outputs and artifacts. Project managers are \nexpected to deliver projects that create value for the organization and stakeholders within the organization’s system for value delivery. The following terms are defined to provide context for the content in this standard.\n▶Outcome. An end result or consequence of a process or project. Outcomes can includeoutputs and artifacts, but have a broader intent by focusing on the benefits and value thatthe project was undertaken to deliver.\n▶Portfolio. Projects, programs, subsidiary portfolios, and operations managed as a group\nto achieve strategic objectives.\n▶Product. An artifact that is produced, is quantifiable, and can be either an end item in itselfor a component item.\n▶Program. Related projects, subsidiary programs, and program activities that are managed\nin a coordinated manner to obtain benefits not available from managing them individually.\n▶Project. A temporary endeavor undertaken to create a unique product, service, or result.\nThe temporary nature of projects indicates a beginning and an end to the project work or\na phase of the project work. Projects can stand alone or be part of a program or portfolio.\n▶Project management. The application of knowledge, skills, tools, and techniques to\nproject activities to meet project requirements. Project management refers to guiding theproject work to deliver the intended outcomes. Project teams can achieve the outcomesusing a broad range of approaches (e.g., predictive, hybrid, and adaptive).\n▶Project manager. The person assigned by the performing organization to lead the project\nteam that is responsible for achieving the project objectives. Project managers perform\na variety of functions, such as facilitating the project team work to achieve the outcomesand managing the processes to deliver intended outcomes. Additional functions areidentified in Section 2.3.\nPMI Seventh Edition July 20215\nSection 1 – Introduction▶Project team. A set of individuals performing the work of the project to achieve\nits objectives.\n▶System for value delivery. A collection of strategic business activities aimed at building,\nsustaining, and/or advancing an organization. Portfolios, programs, projects, products,\nand operations can all be part of an organization’s system for value delivery.\n▶Value. The worth, importance, or usefulness of something. Different stakeholders perceive\nvalue in different ways. Customers can define value as the ability to use specific featuresor functions of a product. Organizations can focus on business value as determined withfinancial metrics, such as the benefits less the cost of achieving those benefits. Societalvalue can include the contribution to groups of people, communities, or the environment.\nFor other terms used in this standard, refer to the Glossary and the PMI Lexicon of Project \nManagement Terms [1].\n1\n1.3 AUDIENCE FOR THIS STANDARD\nThis standard provides a foundational reference for stakeholders participating in a project. \nThis includes, but is not limited to, project practitioners, consultants, educators, students, sponsors, stakeholders, and vendors who:\n▶Are responsible or accountable for delivering project outcomes;\n▶Work on projects full or part time;\n▶Work in portfolio, program, or project management offices (PMOs);\n▶Are involved in project sponsorship, product ownership, product management,\nexecutive leadership, or project governance;\n▶Are involved with portfolio or program management;\n▶Provide resources for project work;\n▶Focus on value delivery for portfolios, programs, and projects;\n▶Teach or study project management; and\n▶Are involved in any aspect of the project value delivery chain.\n1 The numbers in brackets refer to the list of references at the end of this standard.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20217\nSection 2 – A System for Value DeliveryThe information in this section provides a context for value delivery, governance, project \nfunctions, the project environment, and product management.\n▶Section 2.1 Creating Value. This section describes how projects operate within a system\nto produce value for organizations and their stakeholders.\n▶Section 2.2 Organizational Governance Systems. This section describes how governance", + "chunk_order_index": 9, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-e201b9ffd68dc9ef24ef2940d7deaf1b": { + "tokens": 1200, + "content": "this standard.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20217\nSection 2 – A System for Value DeliveryThe information in this section provides a context for value delivery, governance, project \nfunctions, the project environment, and product management.\n▶Section 2.1 Creating Value. This section describes how projects operate within a system\nto produce value for organizations and their stakeholders.\n▶Section 2.2 Organizational Governance Systems. This section describes how governance\nsupports a system for value delivery.\n▶Section 2.3 Functions Associated with Projects. This section identifies the functions\nthat support projects.\n▶Section 2.4 The Project Environment. This section identifies internal and external\nfactors that influence projects and the delivery of value.\n▶Section 2.5 Product Management Considerations. This section identifies the ways\nportfolios, programs, projects, and products relate.\n2.1 CREATING VALUE\nProjects exist within a larger system, such as a governmental agency, organization, or contractual \narrangement. For the sake of brevity, this standard uses the term organization when referring to \ngovernment agencies, enterprises, contractual arrangements, joint ventures, and other arrangements. \nOrganizations create value for stakeholders. Examples of ways that projects produce value include, but are not limited to:A System for Value Delivery2\nPMI Seventh Edition July 20218\nThe Standard for Project Management▶Creating a new product, service, or result that meets the needs of customers or end users;\n▶Creating positive social or environmental contributions;\n▶Improving efficiency, productivity, effectiveness, or responsiveness;\n▶Enabling the changes needed to facilitate organizational transition to its desired future\nstate; and\n▶Sustaining benefits enabled by previous programs, projects, or business operations.\n2.1.1 VALUE DELIVERY COMPONENTS\nThere are various components, such as portfolios, programs, projects, products, and \noperations, that can be used individually and collectively to create value. Working together, these \ncomponents comprise a system for delivering value that is aligned with the organization’s strategy. Figure 2-1 shows an example of a system to deliver value that has two portfolios comprised of programs and projects. It also shows a stand-alone program with projects and stand-alone projects not associated with portfolios or programs. Any of the projects or programs could include products. Operations can directly support and influence portfolios, programs, and projects, as well as other business functions, such as payroll, supply chain management, and so forth. Portfolios, programs, and projects influence each other as well as operations.\nPMI Seventh Edition July 20219\nSection 2 – A System for Value DeliveryAs shown in Figure 2-2, a system for value delivery is part of an organization’s internal \nenvironment that is subject to policies, procedures, methodologies, frameworks, governance \nstructures, and so forth. That internal environment exists within the larger external environment, which includes the economy, the competitive environment, legislative constraints, etc. Section 2.4 provides more detail on internal and external environments.System for Va lue Deliver y\nOperationsProgram A.1Portfolio A\nProgram A.2\nProjectsPortfolio B\nProgram B.1\nProjectsProjectsProgram N.1\nProjectsProjects\nFigure 2-1. Example of a System for Value Delivery\nPMI Seventh Edition July 202110\nThe Standard for Project ManagementThe components in a value delivery system create deliverables used to produce outcomes. An \noutcome is the end result or consequence of a process or a project. Focusing on outcomes, choices, \nand decisions emphasizes the long-range performance of the project. The outcomes create benefits, which are gains realized by the organization. Benefits, in turn, create value, which is something of worth, importance, or usefulness.Exter nal En vironment\nInternal En vironment\nSystem for Value Deliver y\nOperationsProgram A.1Portfolio A\nProgram A.2\nProjectsPortfolio B\nProgram B.1\nProjectsProjectsProgram N.1\nProjectsProjects\nFigure 2-2. Components of a Sample System for Value Delivery\nPMI Seventh Edition July 202111\nSection 2 – A System for Value Delivery2.1.2 INFORMATION FLOW\nA value delivery system works most effectively when information and feedback are shared \nconsistently among all components, keeping the system aligned with strategy and attuned to \nthe environment.\nFigure 2-3 shows a model of the flow of information where black arrows represent information \nfrom senior leadership to portfolios, portfolios to programs and projects, and then to operations. \nSenior leadership shares strategic information with portfolios. Portfolios share the desired outcomes, benefits, and value with programs and projects. Deliverables from programs and projects are passed on to operations along with information on support and maintenance for the deliverables.\nThe light gray arrows in Figure 2-3 represent the reverse flow of information. Information \nfrom operations to programs and projects suggests adjustments, fixes, and updates to deliverables. Programs and projects provide performance information and progress on achieving the desired outcomes, benefits, and value to portfolios. Portfolios provide evaluations on portfolio performance with senior leadership. Additionally, operations provide information on how well the organization’s strategy is advancing.\nPortfolio performance\ninformationPerformance information\nand progress\nOutcomes, Benefits, Value Performance AnalysisStrategyDesired outcomes,\nbenefits, and va lue\nInformation for updates,\nfixes, and adjustmentsDeliverables with support\nand maintenance information\nSenior\nLeadershipPortfoliosPrograms\nand ProjectsOperations\nFigure 2-3. Example of Information Flow\nPMI Seventh Edition July 202112\nThe Standard for Project Management2.2 ORGANIZATIONAL GOVERNANCE SYS TEMS\nThe governance system works alongside the value delivery system to e nable smooth workflows, \nmanage issues, and support decis ion making. Gov ernance systems prov", + "chunk_order_index": 10, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-5bba2e3125ad2c726f6ccfcf66b54a01": { + "tokens": 1200, + "content": "lue\nInformation for updates,\nfixes, and adjustmentsDeliverables with support\nand maintenance information\nSenior\nLeadershipPortfoliosPrograms\nand ProjectsOperations\nFigure 2-3. Example of Information Flow\nPMI Seventh Edition July 202112\nThe Standard for Project Management2.2 ORGANIZATIONAL GOVERNANCE SYS TEMS\nThe governance system works alongside the value delivery system to e nable smooth workflows, \nmanage issues, and support decis ion making. Gov ernance systems prov ide a framework with functions \nand processes that guide activ ities. A governance framework can i nclude elements o f oversight, control, \nvalue assessment, integration among components, and decision-making capabilities.\nGovernance systems provide an integrated structure for evaluating changes, issues, and risks \nassociated with the environment and any component in the value delivery system. This includes \nportfolio objectives, program benefits, and deliverables produced by projects.\nProjects can ope rate within a program or portfolio or as a stand-alone activity. In some \norganizations, a project management office might support programs and projects withi n a \nportfolio. Project governance inc ludes defining the authority to appro ve changes and make other \nbusiness decisio ns related to the project. Project governance is aligned with program and/or \norganizational governance.\n2.3 FUNCTIONS ASSOCIATED WITH PR OJE CTS\nPeople drive project delivery. They do so by fulfilling functions necessary for the project to run \neffectively and efficiently. Functions related to the project can be fulfilled by one person, by a group \nof people, or combined into defined roles.\nCoordinating a collective work effort is extremely important to the success of any project. \nThere are different types of coordination suitable for different contexts. Some projects benefit from \ndecentralized coordination in which project team members self-organize and self-manage. Other \nprojects benefit from centralized coordination with the leadership and guidance of a designated \nproject manager or similar role. Some projects with centralized coordination can also bene fit from \nincluding self-organized project teams for portions of the work. Regardless of how coordination takes \nplace, supportive leadership models and meaningful, continuous engagements between project \nteams and other stakeholders underpin successful outcomes.\nPMI Seventh Edition July 202113\nSection 2 – A System for Value DeliveryRegardless of how projects are coordinated, the collective effort of the project team delivers the \noutcomes, benefits, and value. The project team may be supported by additional functions depending \non the deliverables, industry, organization, and other variables. Sections 2.3.1 through 2.3.8 provide examples of functions that are often found on projects, though these are not a comprehensive list. In addition to these functions, other functions may be necessary to enable project deliverables that produce the desired outcomes. The needs of the project, organization, and environment influence which functions are used on a project and how those functions are carried out.\n2.3.1 PROVIDE OVERSIGHT AND COORDINATION\nPeople in this function help the project team achieve the project objectives, typically by \norchestrating the work of the project. The specifics of how this function is carried out within the project team can vary among organizations, but can include leading the planning, monitoring, and controlling activities. In some organizations, this function may involve some evaluation and analysis activities as part of pre-project activities. This function includes monitoring and working to improve the health, safety, and overall well-being of project team members.\nCoordination includes consulting with executive and business unit leaders on ideas for advancing \nobjectives, improving project performance, or meeting customer needs. It can also include assisting in business analysis, tendering and contract negotiations, and business case development.\nOversight can be involved in follow-on activities related to benefits realization and sustainment \nafter the project deliverables are finalized but before formal closure of the project. This function can support portfolios and programs within which the project is initiated. Ultimately, the function is tailored to fit the organization.\n2.3.2 PRESENT OBJECTIVES AND FEEDBACK\nPeople in this function contribute perspectives, insights, and clear direction from customers and \nend users. The customer and end user are not always synonymous. For the purpose of this standard, the customer is defined as the individual or group who has requested or is funding the project. The end user is the individual or group who will experience the direct use of the project deliverable.\nPMI Seventh Edition July 202114\nThe Standard for Project ManagementProjects need clear direction from customers and end users regarding project requirements, \noutcomes, and expectations. In adaptive and hybrid project environments, the need for ongoing \nfeedback is greater because the project teams are exploring and developing product elements within \nspecific increments. In some project environments, the customer or end user engages with the \nproject team for periodic review and feedback. In some projects, a representative of the customer \nor client participates on the project team. The customer and end user input and feedback needs are \ndetermined by the nature of the project and the guidance or direction required.\n2.3.3 FACILI TATE AND SUPPORT\nThe function of facilitation and support may be closely related to providing oversight and \ncoordination, depending on the nature of the project. The work involves encouraging project team \nmember participation, collaboration, and a shared sense of responsibility for the work output. \nFacilitation helps the project team create consensus around solutions, resolve con flicts, and make \ndecisions. Facilitation is also required to coordinate meetings and contribute in an unbiased way \nto the advancement of project objectives.\nSupporting people through change and helping address obstacles that can prevent success is \nalso required. This can include evaluating performance and providing individuals and project teams \nwith feedback to help them learn, adapt, and improve.\n2.3.4 PERFORM WORK AND CONTRIBU TE INSI GHTS", + "chunk_order_index": 11, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b3ccb92fdc919bbbabee1e67d9bc7fa9": { + "tokens": 1200, + "content": "project team create consensus around solutions, resolve con flicts, and make \ndecisions. Facilitation is also required to coordinate meetings and contribute in an unbiased way \nto the advancement of project objectives.\nSupporting people through change and helping address obstacles that can prevent success is \nalso required. This can include evaluating performance and providing individuals and project teams \nwith feedback to help them learn, adapt, and improve.\n2.3.4 PERFORM WORK AND CONTRIBU TE INSI GHTS\nThis group of people provides the knowledge, skills, and experience necessary to produce the \nproducts and realize the outcomes of the project. Work can be full time or part time for the duration \nof the project or for a limited period, and the work can be colocated or virtual, depending on the \nenvironmental factors. Some work can be highly specialized, while other work can be done by project \nteam members who have broad skill sets.\nGaining insights from cross-functional project team members representing di fferent parts of \nthe organization can provide a mix of internal perspectives, establish alliances with key business \nunits, and encourage project team members to act as change agents within their functional areas. \nThis work can extend into support functions (during or after the project) as the project deliverables \nare implemented or transitioned into operations.\nPMI Seventh Edition July 202115\nSection 2 – A System for Value Delivery2.3.5 APPLY EXPERTISE\nPeople in this function provide the knowledge, vision, and expertise in a specific subject for \na project. They offer advice and support throughout the organization, and contribute to the project \nteam’s learning process and work accuracy. These people can be external to the organization \nor can be internal project team members. They can be required for the whole project or during \na specific time frame.\n2.3.6 PROVIDE BUSINESS DIRECTION AND INSIGHT\nPeople in this function guide and clarify the direction of the project or product outcome. \nThis function involves prioritizing the requirements or backlog items based on business value, dependencies, and technical or operational risk. People in this function provide feedback to project teams and set direction for the next increment or element to be developed or delivered. The function involves interacting with other stakeholders, customers, and their project teams to define the product direction. The goal is to maximize the value of the project deliverable.\nIn adaptive and hybrid environments, direction and insight can be provided using a specific \ncadence. In predictive environments, there can be designated checkpoints for presentation of and feedback on project progress. In some instances, business direction can interact with funding and resourcing functions.\n2.3.7 PROVIDE RESOURCES AND DIRECTION\nPeople in this function promote the project and communicate the organization’s vision, goals, \nand expectations to the project team and broader stakeholder community. They advocate for the project and the project team by helping to secure the decisions, resources, and authority that allow project activities to progress.\nPeople in this function serve as liaisons between senior management and the project team, \nplay a supporting role in keeping projects aligned to business objectives, remove obstacles, and address issues outside the bounds of the project team’s decision authority. People in this function provide an escalation path for problems, issues, or risks that project teams cannot resolve or manage on their own, such as a shortage of funding or other resources, or deadlines that cannot be met.\nPMI Seventh Edition July 202116\nThe Standard for Project ManagementThis function can facilitate innovation by identifying opportunities that arise within the project \nand communicating these to senior management. People in this function may monitor project \noutcomes after project closure to ensure the intended business bene fits are realized.\n2.3.8 MAINTAIN GOVERNANCE\nPeople who fill a governance function approve and support recommendations made by \nthe project team and monitor project progress in achieving the desired outcomes. They maintain \nlinkages between project teams and strategic or business objectives that can change over the course \nof the project.\n2.4 THE PROJECT ENVIRONMENT\nProjects exist and operate within internal and external environments that have varying degrees \nof influence on value delivery. Internal and external environments can influence planning and other \nproject activities. These influences can yield a favorable, unfavorable, or neutral impact on project \ncharacteristics, stakeholders, or project teams.\n2.4.1 INTERNAL ENVIRONMENT\nFactors internal to the organization can arise from the organization itself, a portfolio, a \nprogram, another project, or a combination of these. They include artifacts, practices, or internal \nknowledge. Knowledge includes lessons learned as well as completed artifacts from previous \nprojects. Examples include but are not limited to:\nPMI Seventh Edition July 202117\nSection 2 – A System for Value Delivery▶Process assets. Process assets may include tools, methodologies, approaches, templates,\nframeworks, patterns, or PMO resources.\n▶Governance documentation. This documentation includes policies and processes.\n▶Data assets. Data assets may include databases, document libraries, metrics, data, and\nartifacts from previous projects.\n▶Knowledge assets. Knowledge assets may include tacit knowledge among project team\nmembers, subject matter experts, and other employees.\n▶Security and safety. Security and safety measures may include procedures and practices\nfor facility access, data protection, levels of confidentiality, and proprietary secrets.\n▶Organizational culture, structure, and governance. These aspects of an organization\ninclude the vision, mission, values, beliefs, cultural norms, leadership style, hierarchy andauthority relationships, organizational style, ethics, and code of conduct.\n▶Geographic distribution of facilities and resources. These resources include work\nlocations, virtual project teams, and shared systems.\n▶Infrastructure. Infrastructure consists of existing facilities, equipment, organizational and\ntelecommunications channels, information technology hardware, availability, and capacity.\n▶Information technology software.", + "chunk_order_index": 12, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-bee42593d56afe20000b9fa2c4cf97ef": { + "tokens": 1200, + "content": ", and governance. These aspects of an organization\ninclude the vision, mission, values, beliefs, cultural norms, leadership style, hierarchy andauthority relationships, organizational style, ethics, and code of conduct.\n▶Geographic distribution of facilities and resources. These resources include work\nlocations, virtual project teams, and shared systems.\n▶Infrastructure. Infrastructure consists of existing facilities, equipment, organizational and\ntelecommunications channels, information technology hardware, availability, and capacity.\n▶Information technology software. Examples include scheduling software, configuration\nmanagement systems, web interfaces to online automated systems, collaboration tools,and work authorization systems.\n▶Resource availability. Examples include contracting and purchasing constraints, approved\nproviders and subcontractors, and collaboration agreements. Availability related to bothpeople and materials includes contracting and purchasing constraints, approved providersand subcontractors, and time lines.\n▶Employee capability. Examples include general and specialized expertise, skills,\ncompetencies, techniques, and knowledge.\nPMI Seventh Edition July 202118\nThe Standard for Project Management2.4.2 EXTERNAL ENVIRONMENT\nFactors external to the organization can enhance, constrain, or have a neutral influence on \nproject outcomes. Examples include but are not limited to:\n▶Marketplace conditions. Marketplace conditions include competitors, market share,\nbrand recognition, technology trends, and trademarks.\n▶Social and cultural influences and issues. These factors include political climate,\nregional customs and traditions, public holidays and events, codes of conduct, ethics,\nand perceptions.\n▶Regulatory environment. The regulatory environment may include national and regional\nlaws and regulations related to security, data protection, business conduct, employment,\nlicensing, and procurement.\n▶Commercial databases. Databases include standardized cost estimating data and\nindustry risk study information.\n▶Academic research. This research can include industry studies, publications, and\nbenchmarking results.\n▶Industry standards. These standards are related to products, production, environment,\nquality, and workmanship.\n▶Financial considerations. These considerations include currency exchange rates,\ninterest rates, inflation, taxes, and tariffs.\n▶Physical environment. The physical environment pertains to working conditions\nand weather.\n2.5 PRODUCT MANAGEMENT CONSIDERATIONS\nThe disciplines of portfolio, program, project, and product management are becoming more \ninterlinked. While portfolio, program, and product management are beyond the scope of this standard, understanding each discipline and the relationships between them provides a useful context for projects whose deliverables are products.\nPMI Seventh Edition July 202119\nSection 2 – A System for Value DeliveryA product is an artifact that is produced, is quantifiable, and can be either an end item itself \nor a component item. Product management involves the integration of people, data, processes, and \nbusiness systems to create, maintain, and develop a product or service throughout its life cycle. The product life cycle is a series of phases that represents the evolution of a product, from introduction through growth, maturity, and to retirement.\nProduct management may initiate programs or projects at any point in the product life cycle to \ncreate or enhance specific components, functions, or capabilities (see Figure 2-4). The initial product may begin as a deliverable of a program or project. Throughout its life cycle, a new program or project may add or improve specific components, attributes, or capabilities that create additional value for customers and the sponsoring organization. In some instances, a program can encompass the full life cycle of a product or service to manage the benefits and create value for the organization more directly.\nIntroduction Growth Maturity Decline/RetirementProject Usage, Sales, Impact\nTimeProject 3\n(Additions)\nProject 7\n(Retirement)Project 1\n(Initial Creation)Project 4\n(Revisions)\nProject 5\n(Revisions)\nProject 6\n(Revisions)Project 2\n(More Features)Program A Program BPortfolio Governance\nProduct\nLife Cycle\nPhases:\nFigure 2-4. Sample Product Life Cycle\nPMI Seventh Edition July 202120\nThe Standard for Project ManagementProduct management can exist in different forms, including but not limited to:\n▶Program management within a product life cycle. This approach incorporates related\nprojects, subsidiary programs, and program activities. For very large or long-running\nproducts, one or more product life cycle phases may be sufficiently complex to merit a setof programs and projects working together.\n▶Project management within a product life cycle. This approach oversees development\nand maturing of product capabilities as an ongoing business activity. Portfolio governancecharters individual projects as needed to perform enhancements and improvements or toproduce other unique outcomes.\n▶Product management within a program. This approach applies the full product life cycle\nwithin the purview and boundaries of a given program. A series of subsidiary programsor projects will be chartered to achieve specific benefits for a product. Those benefits canbe enhanced by applying product management competencies like competitive analysis,customer acquisition, and customer advocacy.\nWhile product management is a separate discipline with its own body of knowledge, \nit represents a key integration point within the program management and project management disciplines. Programs and projects with deliverables that include products use a tailored and integrated approach that incorporates all of the relevant bodies of knowledge and their related practices, methods, and artifacts.\nPMI Seventh Edition July 202121\nSection 3 – Project Management PrinciplesPrinciples for a profession serve as foundational guidelines for strategy, decision making, and \nproblem solving. Professional standards and methodologies are often based on principles. In some \nprofessions, principles serve as laws or rules, and are therefore prescriptive in nature. The principles of project management are not prescriptive in nature. They are intended to guide the behavior of \npeople involved in projects. They are broadly based so there are many ways individuals and organizations can maintain alignment with the principles.\nPrinciples can, but do not necessarily, reflect morals. A", + "chunk_order_index": 13, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-79ccc8459426463eeed13bd3c87147a4": { + "tokens": 1200, + "content": "for strategy, decision making, and \nproblem solving. Professional standards and methodologies are often based on principles. In some \nprofessions, principles serve as laws or rules, and are therefore prescriptive in nature. The principles of project management are not prescriptive in nature. They are intended to guide the behavior of \npeople involved in projects. They are broadly based so there are many ways individuals and organizations can maintain alignment with the principles.\nPrinciples can, but do not necessarily, reflect morals. A code of ethics is related to morals. \nA code of ethics for a profession can be adopted by an individual or profession to establish expectations for moral conduct. The PMI Code of Ethics and Professional Conduct [2] is based on \nfour values that were identified as most important to the project management community:\n▶Responsibility,\n▶Respect,\n▶Fairness, and\n▶Honesty.\nThe 12 principles of project management are aligned with the values identified in the PMI Code \nof Ethics and Professional Conduct. They do not follow the same format, and they are not duplicative, \nrather the principles and the Code of Ethics are complementary.\nThe principles of project management were identified and developed by engaging a global \ncommunity of project practitioners. The practitioners represent different industries, cultural backgrounds, and organizations in different roles and with experience in various types of projects. Multiple rounds of feedback resulted in 12 principles that provide guidance for effective project management.Project Management \nPrinciples3\nPMI Seventh Edition July 202122\nThe Standard for Project ManagementBecause the principles of project management provide guidance, the degree of application \nand the way in which they are applied are influenced by the context of the organization, project, \ndeliverables, project team, stakeholders, and other factors. The principles are internally consistent, meaning that no principle contradicts any other principle. However, in practice there may be times when the principles can overlap. For example, guidance for navigating complexity can present information that is useful in recognizing, evaluating, and responding to system interactions or optimizing risk responses.\nPrinciples of project management can also have areas of overlap with general management \nprinciples. For example, both projects and business in general focus on delivering value. The methods may be somewhat different in projects as opposed to operations, but the underlying principle associated with focusing on value can apply to both. Figure 3-1 demonstrates this overlap.\nProject\nManagement\nPrinciplesGeneral\nManagement\nPrinciples\nFigure 3-1. Overlap of Project Management and General Management Principles\nPMI Seventh Edition July 202123\nSection 3 – Project Management PrinciplesThe principle labels are listed here without any specific weighting or order. The principle \nstatements are presented and described in Sections 3.1 through 3.12. Each section begins with a \nfigure that provides the principle label across the top with the principle and key points under the label. Following the figure, each principle is elaborated in the text. The principle labels are:\n▶Be a diligent, respectful, and caring steward (see Section 3.1).\n▶Create a collaborative project team environment (see Section 3.2).\n▶Effectively engage with stakeholders (see Section 3.3).\n▶Focus on value (see Section 3.4).\n▶Recognize, evaluate, and respond to system interactions (see Section 3.5).\n▶Demonstrate leadership behaviors (see Section 3.6).\n▶Tailor based on context (see Section 3.7).\n▶Build quality into processes and deliverables (see Section 3.8).\n▶Navigate complexity (see Section 3.9).\n▶Optimize risk responses (see Section 3.10).\n▶Embrace adaptability and resiliency (see Section 3.11).\n▶Enable change to achieve the envisioned future state (see Section 3.12).\nPMI Seventh Edition July 202124\nThe Standard for Project Management3.1 BE A DILIGENT, RESPECTFUL, AND CARING STEWARD\nSTEWARDSHIP\nStewards act responsibly \nto car ry out activities \nwith integrity , care, and \ntrustwor thiness while \nmaintaining compliance with internal and exter nal \nguidelines. They demon-strate a broad commit-ment to financial, social, \nand en vironmental \nimpacts of the projects they suppor t.Stewardship encompasses responsibilities within and \nexternal to the org anization.\n Stewardship includes:\n•Integrity,\n•Care,\n•Trustworthiness, and\n•Compliance.\nA holistic view of stewardship considers financial, social, \ntechnical, and sustainable environmental a wareness.\nFigure 3-2. Be a Diligent, Respectful, and Caring Steward\nPMI Seventh Edition July 202125\nSection 3 – Project Management PrinciplesStewardship has slightly different meanings and applications in different contexts. One aspect \nof stewardship involves being entrusted with the care of something. Another aspect focuses on the \nresponsible planning, use, and management of resources. Yet another aspect means upholding values and ethics.\nStewardship encompasses responsibilities both within and external to the organization. Within \nthe organization, stewardship includes:\n▶Operating in alignment with the organization, its objectives, strategy, vision, mission,\nand sustainment of its long-term value;\n▶Commitment to and respectful engagement of project team members, including their\ncompensation, access to opportunity, and fair treatment;\n▶Diligent oversight of organizational finances, materials, and other resources used within\na project; and\n▶Understanding the appropriate use of authority, accountability, and responsibility,\nparticularly in leadership positions.\nStewardship outside the organization includes responsibilities in areas such as:\n▶Environmental sustainability and the organization’s use of materials and natural resources;\n▶Organization’s relationship with external stakeholders such as its partners and channels;\n▶Impact of the organization or project on the market, social community,", + "chunk_order_index": 14, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-07de9a54bc3ab6b1f8a981b92b3d0ece": { + "tokens": 1200, + "content": ", and fair treatment;\n▶Diligent oversight of organizational finances, materials, and other resources used within\na project; and\n▶Understanding the appropriate use of authority, accountability, and responsibility,\nparticularly in leadership positions.\nStewardship outside the organization includes responsibilities in areas such as:\n▶Environmental sustainability and the organization’s use of materials and natural resources;\n▶Organization’s relationship with external stakeholders such as its partners and channels;\n▶Impact of the organization or project on the market, social community, and regions\nin which it operates; and\n▶Advancing the state of practice in professional industries.\nStewardship reflects understanding and acceptance of trust as well as actions and decisions \nthat engender and sustain that trust. Stewards also adhere to both implicit and explicit duties. These can include the following:\nPMI Seventh Edition July 202126\nThe Standard for Project Management▶Integrity. Stewards behave honestly and ethically in all engagements and communications.\nStewards hold themselves to the highest standards and reflect the values, principles, andbehaviors expected of those in their organization. Stewards serve as role models, buildingtrust by living and demonstrating personal and organizational values in their engagements,work activities, and decisions. In the project management context, this duty often requiresstewards to challenge team members, peers, and other stakeholders to consider theirwords and actions; and to be empathetic, self-reflective, and open to feedback.\n▶Care. Stewards are fiduciaries of the organizational matters in their charge, and theydiligently oversee them. Higher-performing projects feature professionals who diligentlyoversee those matters, beyond the confines of strictly defined responsibilities. Stewardspay close attention and exercise the same level of care over those matters as they wouldfor their personal matters. Care relates to the internal business affairs of the organization.Care for the environment, sustainable use of natural resources, and concern for theconditions of people across the planet should be reflected in the organizational policiesand principles.\nProjects bring about changes that may have unanticipated or unwanted consequences.\nProject practitioners should identify, analyze, and manage the potential downsides ofproject outcomes so that stakeholders are aware and informed.\nCare includes creating a transparent working environment, open communication channels,\nand opportunities for stakeholders to raise concerns without penalty or fear of retribution.\nPMI Seventh Edition July 202127\nSection 3 – Project Management Principles▶Trustworthiness. Stewards represent themselves, their roles, their project team, and\ntheir authority accurately, both inside and outside of the organization. This behavior\nallows people to understand the degree to which an individual can commit resources,make decisions, or approve something. Trustworthiness also entails individuals proactivelyidentifying conflicts between their personal interests and those of their organization orclients. Such conflicts can undermine trust and confidence, result in unethical or illegalbehaviors, create confusion, or contribute to suboptimal outcomes. Stewards protectprojects from such breaches of trust.\n▶Compliance. Stewards comply with laws, rules, regulations, and requirements that are\nproperly authorized within or outside of their organization. However, high-performingprojects seek ways to integrate compliance more fully into the project culture, creatingmore alignment with diverse and potentially conflicting guidelines. Stewards strive forcompliance with guidelines intended to protect them, their organization, their stakeholders,and the public at large. In instances where stewards face conflicting guidelines or questionsregarding whether or not actions or plans align with established guidelines, stewards seekappropriate counsel and direction.\nStewardship requires leadership with transparency and trustworthiness. Projects affect the \nlives of the people who deliver them as well as those who are affected by the project deliverables \nand outcomes. Projects can have effects, such as easing traffic congestion, producing new medications, or creating opportunities for people to interact. Those effects can produce negative impacts and consequences, such as reduced green space, side effects from medications, or disclosure of personal information. Project teams and their organizational leaders carefully consider such factors and impacts so they can make responsible decisions by balancing organizational and project objectives with the larger needs and expectations of global stakeholders.\nIncreasingly, organizations are taking a holistic view to business that considers financial, \ntechnical, social, and environmental performance simultaneously instead of sequentially. Since the world is interconnected now more than ever and has finite resources and a shared environment, stewardship decisions have ramifications beyond the project.\nPMI Seventh Edition July 202128\nThe Standard for Project Management3.2 CREATE A COLLABORATIVE PROJECT TEAM ENVIRONMENT\nCreating a collaborative project team environment involves multiple contributing factors, \nsuch as team agreements, structures, and processes. These factors support a culture that enables \nindividuals to work together and provide synergistic effects from interactions.TEAM\nProject teams are made \nup of individuals who wield diverse skills, \nknowledge, and experi-\nence. Project teams that work collaboratively can \naccomplish a shared objective more eff ectively \nand efficiently than individuals working on their own.Projects are delive red by project teams.\nProject teams work within organizational and professional \ncultures and guidelines, often establishing their ow n “local” \nculture.\nA collaborative project team environment facilitates:\n•Alignment with other orga nizational cultures and guidelines,\n•Individual and team learning and de velopment, and\n•Optimal contributions to deliver desired outcomes.\nFigure 3-3. Create a Collaborative Project Team Environment\nPMI Seventh Edition July 202129\nSection 3 – Project Management Principles▶Team agreements. Team agreements represent a set of behavioral parameters and\nworking norms established by the project team and upheld through individual and project\nteam commitment. The team agreement should be created at the beginning of a projectand will evolve over time as the project team continues to work together and identify\nnorms and behaviors that are necessary in order to continue to work together successfully.\n▶Organizational structures. Project teams use, tailor, and implement structures that help\ncoordinate the", + "chunk_order_index": 15, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-9947bbde59db8d816dbcf11d36aa2f14": { + "tokens": 1200, + "content": "Project Management Principles▶Team agreements. Team agreements represent a set of behavioral parameters and\nworking norms established by the project team and upheld through individual and project\nteam commitment. The team agreement should be created at the beginning of a projectand will evolve over time as the project team continues to work together and identify\nnorms and behaviors that are necessary in order to continue to work together successfully.\n▶Organizational structures. Project teams use, tailor, and implement structures that help\ncoordinate the individual effort associated with project work. Organizational structures areany arrangement of or relation between the elements of project work and organizationalprocesses.\nThese structures can be based on roles, functions, or authority. They can be defined as\nbeing external to the project, tailored to fit the project context, or newly designed to meet\na unique project need. An authority figure may formally impose a structure, or project teammembers may contribute to its design in alignment with organizational structures.\nExamples of organizational structures that can improve collaboration include, but are not\nlimited to:\n▹Definitions of roles and responsibilities,\n▹Allocation of employees and vendors into project teams,\n▹Formal committees tasked with a specific objective, and\n▹Standing meetings that regularly review a given topic.\n▶Processes. Project teams define processes that enable completion of tasks and work\nassignments. For example, project teams may agree to a decomposition process using\na work breakdown structure (WBS), backlog, or task board.\nProject teams are influenced by the culture of the organizations involved in the project, the \nnature of the project, and the environment in which they operate. Within these influences, project teams establish their own team cultures. Project teams can tailor their structure to best accomplish the project objective.\nBy fostering inclusive and collaborative environments, knowledge and expertise are more freely \nexchanged, which in turn enable better project outcomes.\nPMI Seventh Edition July 202130\nThe Standard for Project ManagementClarity on roles and responsibilities can improve team cultures. Within project teams, specific \ntasks may be delegated to individuals or selected by project team members themselves. This includes \nthe authority, accountability, and responsibility related to tasks:\n▶Authority. The condition of having the right, within a given context, to make relevantdecisions, establish or improve procedures, apply project resources, expend funds, or\ngive approvals. Authority is conferred from one entity to another, whether done explicitly\nor implicitly.\n▶Accountability. The condition of being answerable for an outcome. Accountability\nis not shared.\n▶Responsibility. The condition of being obligated to do or fulfill something. Responsibility\ncan be shared.\nRegardless of who is accountable or responsible for specific project work, a collaborative \nproject team takes collective ownership of the project outcomes.\nA diverse project team can enrich the project environment by bringing together di fferent \nperspectives. The project team can be comprised of internal organizational sta ff, contracted \ncontributors, volunteers, or external third parties. Additionally, some project team members join the \nproject on a short-term basis to work on a specific deliverable while other members are assigned to \nthe project on a longer-term basis. Integrating these individuals with a project team can challenge \neveryone involved. A team culture of respect allows for differences and finds ways to leverage them \nproductively, encouraging effective conflict management.\nAnother aspect of a collaborative project team environment is the incorporation of practice \nstandards, ethical codes, and other guidelines that are part of the professional work within the \nproject team and the organization. Project teams consider how the se guides can support their efforts \nto avoid possible conflict among the disciplines and the established guidelines they use.\nA collaborative project team environment fosters the free exchange of information and individual \nknowledge. This, in turn, increases shared learning and individual development while delivering \noutcomes. A collaborative pro ject team environment enables ev eryone to contribute their best \nefforts to deliver the desired outcomes for an organization. The organization, in turn, will benefit from \ndeliverables and outcomes that re spect and enhance its fundament al values, principles, and culture .\nPMI Seventh Edition July 202131\nSection 3 – Project Management Principles3.3 EFFECTIVELY ENGAGE WITH STAKEHOLDERS\nStakeholders can be individuals, groups, or organizations that may affect, be affected by, \nor perceive themselves to be affected by a decision, activity, or outcome of a portfolio, program, or \nproject. Stakeholders also directly or indirectly influence a project, its performance, or outcome in either a positive or negative way.Engage stakeholder s \nproactively and to the \ndegree needed to contribute to project success and customer satisfaction.STAKEHOLDERS\nStakeholders influence projects, perfor mance, and outcomes.\nProject teams serv e other stak eholders by enga ging with them.\nStakeholder enga gement proactively ad vances value delive ry.\nFigure 3-4. Effectively Engage with Stakeholders\nPMI Seventh Edition July 202132\nThe Standard for Project ManagementStakeholders can affect many aspects of a project, including but not limited to:\n▶Scope/requirements, by revealing the need to add, adjust, or remove elements of the scope\nand/or project requirements;\n▶Schedule, by offering ideas to accelerate delivery or by slowing down or stop delivery of key\nproject activities;\n▶Cost, by helping to reduce or eliminate planned expenditures or by adding steps,\nrequirements, or restrictions that increase cost or require additional resources;\n▶Project team, by restricting or enabling access to people with the skills, knowledge, and\nexperience needed to deliver the intended outcomes, and promote a learning culture;\n▶Plans, by providing information for plans or by advocating for changes to agreed activities\nand work;\n▶Outcomes, by enabling or blocking work required for the desired outcomes;\n▶Culture, by establishing or influencing—or", + "chunk_order_index": 16, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d925527be3a672df92169e8f22e8adf3": { + "tokens": 1200, + "content": "or eliminate planned expenditures or by adding steps,\nrequirements, or restrictions that increase cost or require additional resources;\n▶Project team, by restricting or enabling access to people with the skills, knowledge, and\nexperience needed to deliver the intended outcomes, and promote a learning culture;\n▶Plans, by providing information for plans or by advocating for changes to agreed activities\nand work;\n▶Outcomes, by enabling or blocking work required for the desired outcomes;\n▶Culture, by establishing or influencing—or even defining—the level and character\nof engagement of the project team and broader organization;\n▶Benefits realization, by generating and identifying long-term goals so that the project\ndelivers the intended identified value;\n▶Risk, by defining the risk thresholds of the project, as well as participating in subsequent\nrisk management activities;\n▶Quality, by identifying and requiring quality requirements; and\n▶Success, by defining success factors and participating in the evaluation of success.\nStakeholders may come and go throughout the life cycle of the project. Additionally, the degree \nof a stakeholder’s interest, influence, or impact may change over time. Stakeholders, especially those with a high degree of influence and who have an unfavorable or neutral view about a project, need to be effectively engaged so that their interests, concerns, and rights are understood. The project team can then address these concerns through effective engagement and support leading to the probability of a successful project outcome.\nPMI Seventh Edition July 202133\nSection 3 – Project Management PrinciplesIdentifying, analyzing, and proactively engaging with stakeholders from the start to the end \nof the project helps to enable success.\nProject teams are a group of stakeholders. This group of stakeholders engages other \nstakeholders to understand, consider, communicate, and respond to their interests, needs, \nand opinions.\nEffective and efficient engagement and communication include determining how, when, \nhow often, and under what circumstances stakeholders want to be—and should be—engaged. \nCommunication is a key part of engagement; however, engagement delves deeper to include awareness of the ideas of others, assimilation of other perspectives, and collective shaping of a shared\n \nsolution. Engagement includes building and maintaining solid relationships through frequent, two-way communication. It encourages collaboration through interactive meetings, face-to-face meetings, informal dialogue, and knowledge-sharing activities.\nStakeholder engagement relies heavily on interpersonal skills, including taking initiative, \nintegrity, honesty, collaboration, respect, empathy, and confidence. These skills and attitudes can help everyone adapt to the work and to each other, increasing the likelihood of success.\nEngagement helps project teams detect, collect, and evaluate information, data, and opinions. \nThis creates shared understanding and alignment, which enables project outcomes. Additionally, these activities help the project team to tailor the project to identify, adjust, and respond to changing circumstances.\nProject teams actively engage other stakeholders throughout the project to minimize potential \nnegative impacts and maximize positive impacts. Stakeholder engagements also enable opportunities for stronger project performance and outcomes in addition to increasing stakeholder satisfaction. Finally, engaging other stakeholders helps the project team to find solutions that may be more acceptable to a broader range of stakeholders.\nPMI Seventh Edition July 202134\nThe Standard for Project Management3.4 FOCUS ON VALUE\nVALUE\nContinually evaluate and \nadjust project alignment to business objectives and intended benefits and value.Value is the ultimate indicator of project success.\nValue can be realized throughout the project, at the end of \nthe project, or after the project is complete.\nValue, and the benefits that contribute to value, can be \ndefined in quantitative and/or qualitative terms.\nA focus on outcomes allows project teams to support the \nintended benefits that lead to va lue creation.\nProject teams ev aluate progress and adapt to maximize the \nexpected value.\nFigure 3-5. Focus on Value\nValue, including outcomes from the perspective of the customer or end user, is the ultimate \nsuccess indicator and driver of projects. Value focuses on the outcome of the deliverables. The value \nof a project may be expressed as a financial contribution to the sponsoring or receiving organization. \nValue may be a measure of public good achieved, for example, social bene fit or the customer’s \nperceived benefit from the project result. When the project is a component of a program, the \nproject’s contribution to program outcomes can represent value.\nMany projects, tho ugh not all, are initiated based on a business case. Projects may be \ninitiated due t o any identified ne ed to deliver o r mo dify a process, product, or service, such as \ncontracts, statements of work, o r other documents. In all cases, t he project intent is to provide \nthe desired outcome that addresse s the need with a valued solution. A business case can contain \ninformation about strategic alignment, assessment of risk exposure , economic feasibility study, \nreturn on investme nts, expected key performance measures, evaluations, and alternative \napproaches. The business case may state the intended value contribut ion of the project outcome \nin qualitative or quantitative te rms, or both. A business case co ntains at least these supporting \nand interrelated e lements:\nPMI Seventh Edition July 202135\nSection 3 – Project Management Principles▶Business need. Business provides the rationale for the project, explaining why the project\nis undertaken. It originates with the preliminary business requirements, which are reflected\nin the project charter or other authorizing document. It provides details about the businessgoals and objectives. The business need may be intended for the performing organization,a client organization, a partnership of organizations, or public welfare. A clear statement\nof the business need helps the project team understand the business drivers for the futurestate and allows the project team to identify opportunities or problems to increase thepotential value from the project outcome.\n▶Project justification. Project justification is connected to", + "chunk_order_index": 17, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-184028d5fdd16be37a48b42950487090": { + "tokens": 1200, + "content": "requirements, which are reflected\nin the project charter or other authorizing document. It provides details about the businessgoals and objectives. The business need may be intended for the performing organization,a client organization, a partnership of organizations, or public welfare. A clear statement\nof the business need helps the project team understand the business drivers for the futurestate and allows the project team to identify opportunities or problems to increase thepotential value from the project outcome.\n▶Project justification. Project justification is connected to business need. It explains why\nthe business need is worth the investment and why it should be addressed at this time.\nThe project justification is accompanied by a cost-benefit analysis and assumptions.\n▶Business strategy. Business strategy is the reason for the project and all needs are\nrelated to the strategy to achieve the value.\nTogether, the business need, project justification, and business strategy, in addition to benefits \nand possible agreements, provide the project team with information that allows them to make informed decisions to meet or exceed the intended business value.\nDesired outcomes should be clearly described, iteratively assessed, and updated throughout \nthe project. During its life cycle, a project may undergo change and the project team then adapts in response. The project team continuously evaluates project progress and direction against the desired outputs, baselines, and business case to confirm that the project remains aligned to the need and will deliver its intended outcomes. Alternatively, the business case is updated to capture an opportunity or minimize a problem identified by the project team and other stakeholders. If the project or its stakeholders are no longer aligned with the business need or if the project seems unlikely to provide the intended value, the organization may choose to terminate the effort.\nValue is the worth, importance, or usefulness of something. Value is subjective, in the sense \nthat the same concept can have different values for different people and organizations. This occurs because what is considered a benefit depends on organizational strategies, ranging from short-term financial gains, long-term gains, and even nonfinancial elements. Because all projects have a range of stakeholders, different values generated for each group of stakeholders have to be considered and balanced with the whole, while placing a priority on the customer perspective.\nPMI Seventh Edition July 202136\nThe Standard for Project ManagementWithin the context of some projects, there may be different forms of value engineering that \nmaximize value to the customer, to the performing organization, or other stakeholders. An example \nof this includes delivering the required functionality and level of quality with an acceptable risk \nexposure, while using as few resources as possible, and by avoiding waste. Sometimes, especially in \nadaptive projects that do not have a fixed, up-front scope, the project team can optimize value by \nworking with the customer to determine which features are worth investment and which may not be \nvaluable enough to be added to the output.\nTo support value realization from proj ects, project teams shift fo cus from deliverables to \nthe intended outcomes. Doing so allows project teams to deliver o n the vision or purpose of the \nproject, rather than simply creating a specific deliverable . While the deliverable may support \nthe intended project outcome, it may not fully achieve the visio n or purpose of the project. For \nexample, customers may want a specific software solution because they think that the solution \nresolves the business need for higher productivity. The soft ware is the output of the project , but \nthe software itself does not enable the productivity outcome that i s intended. In this case, adding a \nnew deliverable of training and coaching on the use of the so ftware can enable a better productivit y \noutcome. If the project’s out put fails to enable higher producti vity, stakeholders may fee l that the \nproject has failed. Thus, proje ct teams and other stakeholders understand both the deliverable and \nthe intended outcome from the deli verable .\nThe value contribution of project work could be a short- or long-term measure. Because value \ncontribution may be mixed with contributions from operational activities, it may be di fficult to isolate. \nWhen the project is a component of a program, evaluation of value at the program level may also \nbe necessary to properly direct the project. A reliable evaluation of value should consider the whole \ncontext and the entire life cycle of the project’s output. While value is realized over time, e ffective \nprocesses can enable early benefit realization. With efficient and effective implementation, project \nteams may demonstrate or achieve such outcomes as prioritized delivery, better customer service, \nor an improved work environment. By working with organizational leaders who are responsible \nfor putting project deliverables into use, project leaders can make sure that the deliverables are \npositioned to realize the planned outcomes.\nPMI Seventh Edition July 202137\nSection 3 – Project Management Principles3.5 RECOGNIZE, EVALUATE, AND RESPOND TO SYSTEM \nINTERACTIONS\nA system is a set of interacting and interdependent components that function as a unified \nwhole. Taking a holistic view, a project is a multifaceted entity that exists in dynamic circumstances, \nexhibiting the characteristics of a system. Project teams should acknowledge this holistic view of \na project, seeing the project as a system with its own working parts.\nA project works within other larger systems, and a project deliverable may become part of \na larger system to realize benefits. For example, projects may be part of a program which, in turn, may also be part of a portfolio. These interconnected structures are known as a system of systems . \nProject teams balance inside/out and outside/in perspectives to support alignment across the system of systems.\nThe project may also have subsystems that are required to integrate effectively to deliver the \nintended outcome. For example, when individual project teams develop separate components of \na deliverable, all components should integrate effectively.", + "chunk_order_index": 18, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-253213c9288bb2be909f76a7308794dc": { + "tokens": 1200, + "content": "to realize benefits. For example, projects may be part of a program which, in turn, may also be part of a portfolio. These interconnected structures are known as a system of systems . \nProject teams balance inside/out and outside/in perspectives to support alignment across the system of systems.\nThe project may also have subsystems that are required to integrate effectively to deliver the \nintended outcome. For example, when individual project teams develop separate components of \na deliverable, all components should integrate effectively. This requires project teams to interact and align subsystem work on a regular basis.Recognize, evaluate, and \nrespond to the dynamic \ncircumstances within and surrounding the project in a holistic way to positively affect project performance.SYSTEMS THINKING\nA project is a system of interdependent and interacting \ndomains of activity .\nSystems thinking entails taking a holistic view of how project \nparts interact with each other and with external systems.\nSystems are constantly changing , requiring consistent attention \nto internal and external conditions.\nBeing responsive to system interactions allows project teams to \nleverag e positive outcomes.\nFigure 3-6. Recognize, Evaluate, and Respond to System Interactions\nPMI Seventh Edition July 202138\nThe Standard for Project ManagementSystems thinking also considers timing elements of systems, such as what the project delivers \nor enables over time. For example, if project deliverables are released incrementally, each increment \nexpands the cumulative outcomes or capabilities of previous versions. Project teams should think \nbeyond the end of the project to the operational state of the project’s deliverable, so that intended \noutcomes are realized.\nAs projects unfold, internal and external conditions are continuo usly changing. A single change \ncan create several impacts. For example, on a large construction project, a change in requirements can \ncause contractual changes with the primary contractor, subcontract ors, suppliers, or others. In t urn, \nthose changes can create an impact on project cost, schedule, sco pe, and performance. Subsequently, \nthese changes could invoke a change control protocol for obt aining approvals from entities in external \nsystems, such as the service providers, regulators, financiers, and government authorities.\nWhile it is possible to predict some of the changes in advance, many of the changes that can \nimpact the project during its life cycle emerge in real time. With systems thinking, including constant \nattention to internal and external conditions, the project team can navigate a wide spectrum of \nchanges and impacts to keep the project in agreement with the relevant stakeholders.\nSystems thinking also applies to how the project team views itself and its interactions within \nthe project system. The project system often brings together a diverse project team engaged in \nworking for a common objective. This diversity brings value to project teams, but they need to \nconsider how to leverage those differences e ffectively, so that the project team works cohesively. \nFor example, if a government agency contracts with a private company for development of a new \ntechnology, the development team may consist of project team members from both organizations. \nThose project team members may have assumptions, ways of working, and mental models related \nto how they function within their home organization. In this new project system, which combines the \ncultures of a private company and a government agency, the project team members can establish a \nsynthesized team culture that creates a common vision, language, and toolset. This can help project \nteam members to engage and contribute effectively and help to increase the probability that the \nproject system works.\nBecause of the interactivity among systems, project teams should operate with awareness of, \nand vigilance toward, changing system dynamics. The following skills support a systems view \nof the project:\nPMI Seventh Edition July 202139\nSection 3 – Project Management Principles▶Empathy with the business areas;\n▶Critical thinking with a big picture focus;\n▶Challenging of assumptions and mental models;\n▶Seeking external review and advice;\n▶Use of integrated methods, artifacts, and practices so there is a common understanding\nof project work, deliverables, and outcomes;\n▶Use of modeling and scenarios to envision how system dynamics may interact\nand react; and\n▶Proactive management of the integration to help achieve business outcomes.\nRecognizing, evaluating, and responding to system interactions can lead to the following \npositive outcomes:\n▶Early consideration of uncertainty and risk within the project, exploration of alternatives,\nand consideration of unintended consequences;\n▶Ability to adjust assumptions and plans throughout the project life cycle;\n▶Provision of ongoing information and insights that inform planning and delivery;\n▶Clear communication of plans, progress, and projections to relevant stakeholders;\n▶Alignment of project goals and objectives to the customer organization’s goals,\nobjectives, and vision;\n▶Ability to adjust to the changing needs of the end user, sponsor, or customer\nof the project deliverables;\n▶Ability to see synergies and savings between aligned projects or initiatives;\n▶Ability to exploit opportunities not otherwise captured or see threats posed to\nor by other projects or initiatives;\n▶Clarity regarding the best project performance measurement and their influence\non the behavior of the people involved in the project;\n▶Decisions that benefit the organization as a whole; and\n▶More comprehensive and informed identification of risks.\nPMI Seventh Edition July 202140\nThe Standard for Project Management3.6 DEMONSTRATE LEADERSHIP BEHAVIORS\nLEADERSHIP\nEffectiv e leadership promotes project success and contributes \nto positive project outcomes.\nAny project team member can demonstrate leadership \nbehaviors.Leadership is different than authority .\nEffectiv e leaders adapt their style to the situation .\nEffectiv e leaders recognize differences in motivation among \nproject team members.Leaders demonstrate desired behavior in areas of honesty , \nintegrity, and ethical conduct.Demonstrate and adapt \nleader ship behaviors to \nsuppor t individual and \nteam needs.", + "chunk_order_index": 19, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-77e9d4fbd5863baaf2d201ff6000388a": { + "tokens": 1200, + "content": "ERSHIP\nEffectiv e leadership promotes project success and contributes \nto positive project outcomes.\nAny project team member can demonstrate leadership \nbehaviors.Leadership is different than authority .\nEffectiv e leaders adapt their style to the situation .\nEffectiv e leaders recognize differences in motivation among \nproject team members.Leaders demonstrate desired behavior in areas of honesty , \nintegrity, and ethical conduct.Demonstrate and adapt \nleader ship behaviors to \nsuppor t individual and \nteam needs.\nFigure 3-7. Demonstrate Leadership Behaviors\nProjects create a unique need for effective leadership. Unlike general business operations, \nwhere roles and responsibilities are often established and consistent, projects often involve multiple \norganizations, departments, functions, or vendors that do not interact on a regular basis. Moreover, \nprojects may carry higher stakes and expectations than regular operational functions. As a result, \na broader array of managers, executives, senior contributors, and other stakeholders attempt to \ninfluence a project. This often creates higher degrees of confusion and con flict. Consequently, higher-\nperforming projects demonstrate effective leadership behaviors more frequently, and from more \npeople than most projects.\nA project environment that prioritizes vision, creativity, motiv ation, enthusiasm, encouragement, \nand empathy can support better o utcomes. These traits are ofte n associated with leadership. \nLeadership comprises the at titude , talent, character, and behav iors to influence individuals wit hin \nand outside the project team toward the desired outcomes.\nPMI Seventh Edition July 202141\nSection 3 – Project Management PrinciplesLeadership is not exclusive to any specific role. High-performing projects may feature \nmultiple people exhibiting effective leadership skills, for example, the project manager, sponsors, \nstakeholders, senior management, or even project team members. Anyone working on a project can demonstrate effective leadership traits, styles, and skills to help the project team perform and deliver the required results.\nIt is important to note that more conflict and confusion can emerge when too many participants \nattempt to exert project influence in multiple, misaligned directions. However, higher-performing projects show a paradoxical combination of more influencers, each contributing more leadership skills in a complementary fashion. For example: if a sponsor articulates clear priorities, then a technical lead opens the discussion for delivery options, where individual contributors assert pros and cons until the project manager brings the conversation to a consensus strategy. Successful leadership enables someone to influence, motivate, direct, and coach people under any condition. It also incorporates characteristics derived from an organization’s culture and practices.\nLeadership should not be confused with authority , which is the position of control given to \nindividuals within an organization to foster overall effective and efficient function. Authority is the right to exercise power. Authority is usually delegated to a person by formal means such as a charter document or designated title. This person may then have a role or position description that indicates their authority. Authority denotes accountability for certain activities, actions of individuals, or decision making in certain circumstances. While individuals may use their authority to influence, motivate, direct others, or act when others do not perform or act as directed or requested, this is not the same as leadership. For example, organizational executives may grant someone the authority to form \na project team to deliver an outcome. However, authority alone is insufficient. It takes leadership to motivate a group toward a common goal, influence them to align their individual interests in favor \nof collective effort, and achieve success as a project team rather than as individuals.\nEffective leadership draws from or combines elements of various styles of leadership. \nDocumented leadership styles range from autocratic, democratic, laissez-faire, directive, participative, assertive, supportive, and autocratic to consensus. Of all these, no single leadership style has proven to be the universally best or recommended approach. Instead, effective leadership is shown when \nit best fits a given situation. For example:\n▶In moments of chaos, directive action creates more clarity and momentum than collaborative\nproblem solving.\n▶For environments with highly competent and engaged staff, empowered delegation elicits\nmore productivity than centralized coordination.\nPMI Seventh Edition July 202142\nThe Standard for Project ManagementWhen senior managers suffer conflict over priorities, neutral facilitation helps more than detailed \nrecommendations. Effective leadership skill is grown. It can be learned and developed so that it \nbecomes a professional asset to the individual, as well as a benefit to the project and its stakeholders. High-performing projects show a pervasive pattern of continuous improvement down to the personal level. A project team member deepens leadership acumen by adding or practicing a combination of various skills or techniques, including but not limited to:\n▶Focusing a project team around agreed goals,\n▶Articulating a motivating vision for the project outcomes,\n▶Seeking resources and support for the project,\n▶Generating consensus on the best way forward,\n▶Overcoming obstacles to project progress,\n▶Negotiating and resolving conflict within the project team and between the project team\nand other stakeholders,\n▶Adapting communication style and messaging so that they are relevant to the audience,\n▶Coaching and mentoring fellow project team members,\n▶Appreciating and rewarding positive behaviors and contributions,\n▶Providing opportunities for skill growth and development,\n▶Facilitating collaborative decision making,\n▶Employing effective conversations and active listening,\n▶Empowering project team members and delegating responsibilities to them,\n▶Building a cohesive project team that takes responsibility,\n▶Showing empathy for project team and stakeholder perspectives,\n▶Having self-awareness of one’s own bias and behaviors,\n▶Managing and adapting to change during the project life cycle,\n▶Facilitating a fail-fast/learn quickly mindset by acknowledging mistakes, and\n▶Role modeling of desired behaviors.\nPMI Seventh Edition July 202143\nSection 3 – Project Management PrinciplesPersonal character matters in a leader. A person may have strong ability in leadership skills \nbut then have their influence undermined by the perception", + "chunk_order_index": 20, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-49b6f55a63205e85f4c5b85cbaaef25b": { + "tokens": 1200, + "content": "Showing empathy for project team and stakeholder perspectives,\n▶Having self-awareness of one’s own bias and behaviors,\n▶Managing and adapting to change during the project life cycle,\n▶Facilitating a fail-fast/learn quickly mindset by acknowledging mistakes, and\n▶Role modeling of desired behaviors.\nPMI Seventh Edition July 202143\nSection 3 – Project Management PrinciplesPersonal character matters in a leader. A person may have strong ability in leadership skills \nbut then have their influence undermined by the perception of being self-serving or untrustworthy. \nEffective leaders seek to be a role model in areas of honesty, integrity, and ethical conduct. Effective leaders focus on being transparent, behave unselfishly, and are able to ask for help. Effective leaders understand that project team members scrutinize and emulate the values, ethics, and behaviors that leaders exhibit. Therefore, leaders have an additional responsibility to demonstrate expected behaviors through their actions.\nProjects work best when leaders understand what motivates people. Project teams can thrive \nwhen project team members use appropriate leadership traits, skills, and characteristics that match the specific needs and expectations of stakeholders. Knowing how to best communicate with or motivate people, or take action when required, can help improve project team performance and manage obstacles to project success. When practiced by more than one person on a project, leadership can foster shared responsibility toward the project goal, which in turn can foster a healthy and vibrant environment. Motivators include such forces as finances, recognition, autonomy, compelling purpose, growth opportunity, and personal contribution.\nEffective leadership promotes project success and contributes to positive project outcomes. \nProject teams, individual project team members, and other stakeholders are engaged throughout \na well-led project. Each project team member can focus on delivering results using a common vision and working toward shared outcomes. Effective leadership is essential in helping project teams maintain an ethical and adaptable environment.\nAdditionally, business obligations can be fulfilled based on delegated responsibility and authority. \nShared leadership does not undermine or diminish the role or authority of a leader designated by the organization, nor does it diminish the need for that leader to apply the right leadership style and skills at the right time.\nBy blending styles, continuing skill growth, and leveraging motivators, any project team member \nor stakeholder can motivate, influence, coach, and grow the project team, regardless of role or position.\nPMI Seventh Edition July 202144\nThe Standard for Project Management3.7 TAILOR BASED ON CONTEXT\nAdapting to the unique objectives, stakeholders, and complexity of the environment contributes \nto project success. Tailoring is the deliberate adaptation of approach, governance, and processes to \nmake them more suitable for the given environment and the work at hand. Project teams tailor the appropriate framework that will enable the flexibility to consistently produce positive outcomes within the context of the life cycle of the project. The business environment, team size, degree of uncertainty, and complexity of the project all factor into how project systems are tailored. Project systems can be tailored with a holistic perspective, including the consideration of interrelated complexities. Tailoring aims to maximize value, manage constraints, and improve performance by using “just enough” processes, methods, templates, and artifacts to achieve the desired outcome from the project.TAILORING\nEach project is unique.\nProject success is based on adapting to the unique context of \nthe project to determ ine the most appropriate methods of \nproducing the desired outcomes.\nTailoring the approach is iterativ e, and therefore is a continuous \nprocess throughout the project.Design the project devel-\nopment approach based on the context of the project, its objectives, \nstakeholders, governance, \nand the environment using “just enough” process to achieve the desired outcome while maximizing value, managing cost, and \nenhancing speed.\nFigure 3-8. Tailor Based on Context\nPMI Seventh Edition July 202145\nSection 3 – Project Management PrinciplesTogether with the PMO and considering governance, project teams discuss and decide on the \ndelivery approach and resources required for producing outcomes on a project-by-project basis. This \nincludes the selection of the processes to use, development approach, methods, and artifacts needed to deliver the project outcomes. Tailoring decisions can be an implicit action of accepting an established methodology. Conversely, tailoring can be an explicit action of selecting and mixing specific elements \nto suit the unique characteristics of the project and the project environment. Tailoring is necessary \nto some degree in every project, because each project exists in a particular context.\nProjects are often unique, even when the deliverable of the project does not seem unique. \nThis is because project contexts differ in that the organization, its customers, its channels, and its environment are dynamic elements. Those changes and ongoing learning may cause project teams to use or develop different methods or approaches in pursuit of success. The project team should examine the unique set of conditions for each project, so that they can determine the most appropriate methods of producing the desired outcomes.\nAn existing methodology or common way of working can inform the way in which a project \nis tailored. A methodology is a system of practices, techniques, procedures, and rules used by those who work in a discipline. Project teams may be required to assume the methodology of the parent organization. That is, the project team adopts a system of processes, governance, methods, and templates that provide guidance on how to run the project. While this provides a degree of consistency to projects within an organization, the methodology itself may still need tailoring to suit each project. Organizational policies and procedures prescribe authorized boundaries within which the project team can tailor.\nProject teams can also factor in the time and cost of project management processes. Processes \nthat are not tailored may add little value to the project or its outcomes while increasing cost and lengthening schedule. Tailoring the approach along with appropriate processes, methods, and artifacts can help project teams make decisions about process-related costs and the related value contribution to", + "chunk_order_index": 21, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-a01eef185e59dbc3ba86197a6acb12a9": { + "tokens": 1200, + "content": "projects within an organization, the methodology itself may still need tailoring to suit each project. Organizational policies and procedures prescribe authorized boundaries within which the project team can tailor.\nProject teams can also factor in the time and cost of project management processes. Processes \nthat are not tailored may add little value to the project or its outcomes while increasing cost and lengthening schedule. Tailoring the approach along with appropriate processes, methods, and artifacts can help project teams make decisions about process-related costs and the related value contribution to project outcomes.\nIn addition to deciding on how to tailor an approach, project teams communicate the tailoring \ndecisions to stakeholders associated with that approach. Each member of the project team is aware of the chosen methods and processes that relate to those stakeholders and their role.\nPMI Seventh Edition July 202146\nThe Standard for Project ManagementTailoring the project approach to suit the unique characteristics of the project and its \nenvironment can contribute to a higher level of project performance and an increased probability of \nsuccess. A tailored project approach can produce direct and indirect benefits to organizations, such as:\n▶Deeper commitment from project team members because they took part in defining\nthe approach,\n▶Reduction in waste in terms of actions or resources,\n▶Customer-oriented focus, as the needs of the customer and other stakeholders are\nan important influencing factor in the tailoring of the project, and\n▶More efficient use of project resources, as project teams are conscious of the weight\nof project processes.\nTailoring projects can lead to the following positive outcomes:\n▶Increased innovation, efficiency, and productivity;\n▶Lessons learned, so that improvements from a specific delivery approach can be shared\nand applied to the next round of work or future projects;\n▶Further improvement of an organization’s methodology, with new practices, methods,\nand artifacts;\n▶Discovery of improved outcomes, processes, or methods through experimentation;\n▶Effective integration within multidisciplinary project teams of methods and practices used\nto deliver project results; and\n▶Increased adaptability for the organization in the long term.\nTailoring an approach is iterative in nature, and therefore is a constant process itself during \nthe project life cycle. Project teams collect feedback from all stakeholders on how the methods and tailored processes are working for them as the project progresses to evaluate their effectiveness and add value to the organization.\nPMI Seventh Edition July 202147\nSection 3 – Project Management Principles3.8 BUILD QUALITY INTO PROCESSES AND DELIVERABLES\nQuality is the degree to which a set of inherent characteristics of a product, service, or result \nfulfills the requirements. Quality includes the ability to satisfy the customer’s stated or implied needs. \nThe product, service, or result of a project (referred to here as deliverables) is measured for the quality of both the conformance to acceptance criteria and fitness for use.QUALITY\nProject quality entails satisfying stak eholders’ expectations and \nfulfilling project and product requirements.\nQuality focuses on meeting acceptance criteria for deli verables.\nProject quality entails ensuring project processes are appropri-\nate and as effective as possible.Maintain a focus on \nquality that produces deliverables that meet project objectives and align to the needs, uses, \nand acceptance require-ments set forth by relevant stakeholders.\nFigure 3-9. Build Quality into Processes and Deliverables\nPMI Seventh Edition July 202148\nThe Standard for Project ManagementQuality may have several different dimensions, including but not limited to the following:\n▶Performance. Does the deliverable function as the project team and other stakeholders\nintended?\n▶Conformity. Is the deliverable fit for use, and does it meet the specifications?\n▶Reliability. Does the deliverable produce consistent metrics each time it is performed\nor produced?\n▶Resilience. Is the deliverable able to cope with unforeseen failures and quickly recover?\n▶Satisfaction. Does the deliverable elicit positive feedback from end users? This includes\nusability and user experience?\n▶Uniformity. Does the deliverable show parity with other deliverables produced in the\nsame manner?\n▶Efficiency. Does the deliverable produce the greatest output with the least amount\nof inputs and effort?\n▶Sustainability. Does the deliverable produce a positive impact on economic, social,\nand environmental parameters?\nProject teams measure quality using metrics and acceptance criteria based on requirements. \nA requirement is a condition or capability that is necessary to be present in a product, service, or \nresult to satisfy a need. Requirements, either explicit or implicit, may come from stakeholders, a contract, organizational policies, standards, or regulatory bodies, or a combination of these. Quality is closely linked to the product acceptance criteria, as described in the statement of work or other design documents. These criteria should be updated as experimentation and prioritization occur and validated as part of the acceptance process.\nQuality is also relevant to the project approaches and activities used to produce the project’s \ndeliverables. While project teams evaluate the quality of a deliverable through inspection and testing, project activities and processes are assessed through reviews and audits. In both instances, quality activities may focus on detection and prevention of errors and defects.\nPMI Seventh Edition July 202149\nSection 3 – Project Management PrinciplesThe objective of quality activities is to help ensure that what is delivered meets the objectives \nof the customer and other relevant stakeholders in the most straightforward path. The intention is \nto minimize the waste of resources and maximize the probability of attaining the desired outcome. This results in:\n▶Moving the deliverables to the point of delivery quickly, and\n▶Preventing defects in the deliverables or identifying them early to avoid or reduce the need\nfor rework and scrap.\nThe objective of quality activities is the same whether dealing with an up-front, well-defined set \nof requirements or a set of requirements that are progressively elaborated and incrementally delivered.\nQuality management processes and practices help produce", + "chunk_order_index": 22, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-22711c24dd56ac426b9723c9653def64": { + "tokens": 1200, + "content": "the waste of resources and maximize the probability of attaining the desired outcome. This results in:\n▶Moving the deliverables to the point of delivery quickly, and\n▶Preventing defects in the deliverables or identifying them early to avoid or reduce the need\nfor rework and scrap.\nThe objective of quality activities is the same whether dealing with an up-front, well-defined set \nof requirements or a set of requirements that are progressively elaborated and incrementally delivered.\nQuality management processes and practices help produce deliverables and outcomes that \nmeet project objectives and align to the expectations, uses, and acceptance criteria expressed by the organization and relevant stakeholders. Close attention to quality in project processes and deliverables creates positive outcomes, including:\n▶Project deliverables that are fit for purpose, as defined by acceptance criteria,\n▶Project deliverables that meet stakeholder expectations and business objectives,\n▶Project deliverables with minimal or no defects,\n▶Timely or expedited delivery,\n▶Enhanced cost control,\n▶Increased quality of product delivery,\n▶Reduced rework and scrap,\n▶Reduced customer complaints,\n▶Good supply chain integration,\n▶Improved productivity,\n▶Increased project team morale and satisfaction,\n▶Robust service delivery,\n▶Improved decision making, and\n▶Continually improved processes.\nPMI Seventh Edition July 202150\nThe Standard for Project Management3.9 NAVIGATE COMPLEXITY\nCOMPLEXITY\nComplexity is the result of human behav ior, system interactions, \nuncertainty , and ambiguity .\nComplexity can emerge at any point during the project.\nComplexity can be introduced by events or conditions that \naffect v alue, scope, communications, stake holders, risk, and \ntechnological inno vation.\nProject teams can stay vigilant in identifying elements of \ncomplexity and use a va riety of methods to reduce the amount \nor impact of complexity .Continually evaluate \nand navigate project complexity so that approaches and plans enable the project team to successfully navigate the project life cycle.\nFigure 3-10. Navigate Complexity\nA project is a system of ele ments that interact with each other. Co mplexity is a characteristic o f \na project or its environment that is difficult to manage due t o human behavior, system behavi or, and \nambiguity. The nature and number o f the interactions determine the degree of complexity in a project. \nComplexity emerges from project ele ments, interactions between project elements, and interactions \nwith other systems and the pro ject environment. Though complexit y cannot be controlled, project \nteams can modify their activ ities to address impacts that occ ur as a result of complexity.\nProject teams often cannot foresee complexity emerging because it is the result of \nmany interactions such as risks, dependencies, events, or relationships. Alternatively, a few \ncauses may converge to produce a single complex effect, which makes isolating a specific cause \nof complexity difficult.\nProject complexity occurs as the result of individual elements within the project and project \nsystem as a whole. For example, complexity within a project may be ampli fied with a greater number \nor diversity of stakeholders, such as regulatory agencies, international financial institutions, multiple \nvendors, numerous specialty subcontractors, or local communities. These stakeholders can have a \nsignificant impact on the complexity of a project, both individually and collectively.\nPMI Seventh Edition July 202151\nSection 3 – Project Management PrinciplesSome of the more common sources of complexity are:\n▶Human behavior. Human behavior is the interplay of conduct, demeanors, attitudes, and\nexperience of people. Human behavior can also contribute to complexity by introducingelements of subjectivity such as personal agendas that conflict with the project’s goals andobjectives. Stakeholders located in remote locations may have different time zones, speakdifferent languages, and have different cultural norms.\n▶System behavior. System behavior is the result of dynamic interdependencies within\nand among project elements. For example, the integration of different technology systemsmay cause threats that could impact project outcomes and success. The interactionsamong components of the project system may lead to interconnected risk, create emergingor unforeseeable issues, and produce unclear and disproportional cause-and-effectrelationships.\n▶Uncertainty and ambiguity. Ambiguity is a state of being unclear, of not knowing what\nto expect or how to comprehend a situation. Ambiguity can arise from having many optionsor a lack of clarity on the optimal choice. Unclear or misleading events, emerging issues,\nor subjective situations can also lead to ambiguity.\nUncertainty is the lack of understanding and awareness of issues, events, paths to follow, or\nsolutions to pursue. Uncertainty deals with the probabilities of alternative actions, reactions,and outcomes. Uncertainty includes unknown unknowns and black swans, which areemerging factors that are completely outside of existing knowledge or experience.\nWithin a complex environment, uncertainty and ambiguity can combine to blur causalrelationships to the point where probabilities and impacts are ill defined. It becomesdifficult to reduce uncertainty and ambiguity to the point where relationships can be welldefined and therefore addressed effectively.\n▶Technological innovation. Technological innovation can cause disruption to products,\nservices, ways of working, processes, tools, techniques, procedures, and more. Theintroduction of desktop computing and social media are examples of technologicalinnovations that have fundamentally changed the way project work is performed. Newtechnology, along with the uncertainty of how that technology will be used, contributes\nto complexity. Innovation has the potential to help move projects toward a solution,\nor to disrupt the project when associated uncertainties are not defined, leading toincreased complexity.\nPMI Seventh Edition July 202152\nThe Standard for Project ManagementComplexity may emerge and impact the project in any area and at any point in the project life \ncycle. Project teams can identify elements of complexity throughout the project by continually looking \nat the", + "chunk_order_index": 23, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-438eda18c89bd9de51dc0f44c99435ac": { + "tokens": 1200, + "content": ", along with the uncertainty of how that technology will be used, contributes\nto complexity. Innovation has the potential to help move projects toward a solution,\nor to disrupt the project when associated uncertainties are not defined, leading toincreased complexity.\nPMI Seventh Edition July 202152\nThe Standard for Project ManagementComplexity may emerge and impact the project in any area and at any point in the project life \ncycle. Project teams can identify elements of complexity throughout the project by continually looking \nat the project component as well as the project as a whole for signs of complexity. Knowledge of systems thinking, complex adaptive systems, experience from past project work, experimentation, and continuous learning related to system interaction leads to the project team’s increased ability to navigate complexity when it emerges. Being vigilant for indications of complexity allows project teams to adapt their approaches and plans to navigate potential disruption to effective project delivery.\nPMI Seventh Edition July 202153\nSection 3 – Project Management Principles3.10 OPTIMIZE RISK RESPONSES\nA risk is an uncertain event or condition that, if it occurs, can have a positive or negative effect \non one or more objectives. Identified risks may or may not materialize in a project. Project teams \nendeavor to identify and evaluate known and emergent risks, both internal and external to the project, throughout the life cycle.\nProject teams seek to maximize positive risks (opportunities) and decrease exposure to negative \nrisks (threats). Threats may result in issues such as delay, cost overrun, technical failure, performance shortfall, or loss of reputation. Opportunities can lead to benefits such as reduced time and cost, improved performance, increased market share, or enhanced reputation.RISK\nIndividual and overall risks can impact projects.\nRisks can be positive (opport unities) or nega tive (threats).\nRisks are addressed continually throughout the project.An org anization’ s risk attitude, appetite, and threshold influence \nhow risk is addressed.\nRisk responses should be:\n•Appropriate for the significance of the risk ,\n•Cost effectiv e,\n•Realistic within the project context,\n•Agreed to by rele vant stak eholders, and\n•Owned by a responsible person.Continually evaluate \nexposure to risk, both oppor tunities and threats, \nto maximize positive impacts and minimize negative impacts to the project and its outcomes.\nFigure 3-11. Optimize Risk Responses\nPMI Seventh Edition July 202154\nThe Standard for Project ManagementProject teams also monitor the overall project risk. Overall project risk is the effect of uncertainty \non the project as a whole. Overall risk arises from all sources of uncertainty, including individual risks, \nand represents the exposure of the stakeholders to the implications of variations in project outcome, both positive and negative. Management of overall project risk aims to keep project risk exposure within an acceptable range. Management strategies include reducing drivers of threats, promoting drivers of opportunities, and maximizing the probability of achieving overall project objectives.\nProject team members engage with relevant stakeholders to understand their risk appetite \nand risk thresholds. Risk appetite describes the degree of uncertainty an organization or individual \nis willing to accept in anticipation of a reward. Risk threshold is the measure of acceptable variation \naround an objective that reflects the risk appetite of the organization and stakeholders. The risk threshold reflects the risk appetite. Therefore, a risk threshold of ±5% around a cost objective reflects a lower risk appetite than a risk threshold of ±10%. The risk appetite and risk threshold inform how the project team navigates risk in a project.\nEffective and appropriate risk responses can reduce individual and overall project threats and \nincrease individual and overall opportunities. Project teams should consistently identify potential risk responses with the following characteristics in mind:\n▶Appropriate and timely to the significance of the risk,\n▶Cost effective,\n▶Realistic within the project context,\n▶Agreed to by relevant stakeholders, and\n▶Owned by a responsible person.\nRisks can exist within the enterprise, portfolio, program, project, and product. The project \nmay be a component of a program in which the risk can potentially enhance or diminish benefits realization and, therefore, value. The project may be a component of a portfolio of related or unrelated work in which the risk can potentially enhance or diminish overall value of the portfolio and realization of business objectives.\nOrganizations and project teams that employ consistent risk evaluation, planning, and \nproactive risk implementation often find the effort to be less costly than reacting to issues when \nthe risk materializes.\nMore information on risk management may be found in The Standard for Risk Management \nin Portfolios, Programs, and Projects [3].\nPMI Seventh Edition July 202155\nSection 3 – Project Management Principles3.11 EMBRACE ADAPTABILITY AND RESILIENCY\nMost projects encounter challenges or obstacles at some stage. The combined attributes of \nadaptability and resiliency in the project team’s approach to a project help the project accommodate \nimpacts and thrive. Adaptability refers to the ability to respond to changing conditions. Resiliency \nconsists of two complementary traits: the ability to absorb impacts and the ability to recover quickly from a setback or failure. Both adaptability and resiliency are helpful characteristics for anyone working on projects.Build adaptability and \nresiliency into the organi-zation’ s and project team’ s \napproaches to help the project accommodate change, recover from \nsetbacks, and advance \nthe work of the project.ADAPTABILITY AND RESILIENCY\nAdaptability is the ability to respond to changing conditions.\nResiliency is the ability to absorb impacts and to reco ver \nquickly from a setback or failure.A focus on outcomes rather than outputs facilitates adaptability . \nFigure 3-12. Embrace Adaptability and Resiliency\nPMI Seventh Edition July 202156\nThe Standard for Project ManagementA project rarely performs exactly", + "chunk_order_index": 24, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b8b2cd9a721a57dfcabaaa6c775a5ee7": { + "tokens": 1200, + "content": "recover from \nsetbacks, and advance \nthe work of the project.ADAPTABILITY AND RESILIENCY\nAdaptability is the ability to respond to changing conditions.\nResiliency is the ability to absorb impacts and to reco ver \nquickly from a setback or failure.A focus on outcomes rather than outputs facilitates adaptability . \nFigure 3-12. Embrace Adaptability and Resiliency\nPMI Seventh Edition July 202156\nThe Standard for Project ManagementA project rarely performs exactly as initially planned. Projects are influenced by internal and \nexternal factors—new requirements, issues, stakeholder influences, among other factors—which \nexist in a system of interactions. Some elements within a project may fail or fall short of expectations, requiring the project team to regroup, rethink, and replan. On an infrastructure project, for example, a court decision during project execution could change the designs and plans. In a technology project, a computerized model of the technology might show that the components work together properly, but the real-world application fails. In both cases, the project team will need to address the situation in order to move the project forward. The view that projects should hold firm to plans and commitments made during the early stages, even after new or unforeseen factors emerge, is not beneficial to stakeholders, including customers and end users, as this limits the potential for generating value. However, adapting should be done with a holistic view, such as a proper change control process, to avoid problems such as scope creep. In a project environment, capabilities that support adaptability and resilience include:\n▶Short feedback loops to adapt quickly;\n▶Continuous learning and improvement;\n▶Project teams with broad skill sets, coupled with individuals having extensive knowledge\nin each required skill area;\n▶Regular inspection and adaptation of project work to identify improvement opportunities;\n▶Diverse project teams to capture a broad range of experiences;\n▶Open and transparent planning that engages internal and external stakeholders;\n▶Small-scale prototypes and experiments to test ideas and try new approaches;\n▶Ability to leverage new ways of thinking and working;\n▶Process design that balances velocity of work and stability of requirements;\n▶Open organizational conversations;\n▶Diverse project teams with broad skill sets, cultures, and experience, coupled with subject\nmatter experts in each required skill area;\n▶Understanding from past learning of the same or similar endeavors;\nPMI Seventh Edition July 202157\nSection 3 – Project Management Principles▶Ability and willingness to anticipate multiple potential scenarios and prepare for multiple\neventualities;\n▶Deferring decision making to the last responsible moment;\n▶Management support; and\n▶Open-ended design that balances speed and stability.\nEnvisioning outcomes rather than deliverables can enable solutions, harnessing a better \nresult than the one originally planned. For example, a project team may find an alternative solution \nthat would provide stronger outcomes than the original defined deliverable. While exploration of alternatives is usually the purview of the business case, technologies and other capabilities are evolving so rapidly that a solution could emerge at any time between completion of the business case and project closure. Opportunities for adaptation may emerge during a project, at which time the project team should make a case to the project sponsor, product owner, or customer for capturing the opportunity. Depending on the type of contract, the customer’s approval may be needed for some of the changes that result from the adaptation. The project team should be prepared to adapt its plans and activities to take advantage of the opportunity, with the support of the project sponsor, product owner, or customer.\nUnexpected changes and circumstances in a project system can also present opportunities. \nTo optimize value delivery, project teams should use problem solving as well as a holistic-thinking approach to changes and unplanned events. When an unplanned event occurs, project teams should look for potential positive outcomes that might be gained. For example, incorporating a change that occurs late in a project time line could add competitive advantage by being the first product in the market to offer the feature.\nBuilding adaptability and resiliency in a project keeps project teams focused on the desired \noutcome when internal and external factors change, and it helps them recover from setbacks. These characteristics also help project teams learn and improve so that they can quickly recover from failures or setbacks and continue making progress toward delivering value.\nPMI Seventh Edition July 202158\nThe Standard for Project Management3.12 ENABLE CHANGE TO ACHIEVE THE ENVISIONED \nFUTURE ST\nATE\nRemaining relevant in today’s business environment is a fundamental challenge for all \norganizations. Relevance entails being responsive to stakeholder needs and desires. This requires \ncontinually evaluating offerings for the benefit of stakeholders, rapidly responding to changes, and acting as agents for change. Project managers are uniquely poised to keep an organization prepared for changes. Projects, by their very definition, create something new: they are agents of change.\nChange management, or enablement, is a comprehensive, cyclic, and structured approach for \ntransitioning individuals, groups, and organizations from a current state to a future state in which they realize desired benefits. It is different from project change control, which is a process whereby modifications to documents, deliverables, or baselines associated with the project are identified and documented, and then are approved or rejected.CHANGE\nA structured approach to change helps individuals, groups, and \nthe organization transition from the curr ent state to a future \ndesired state.\nChang e can originate from intern al influences or exter nal \nsources.Enabling change can be challenging as not all stak eholders \nembrace chang e.\nAttempting too much change in a short time can lead to \nchang e fatigue and/or resistance.\nStakeholder enga gement and motiva tional approaches assist in \nchang e adoption.Prepare those impacted \nfor the adoption and sustainment of new and different behaviors and \nprocesses required for the transition from the cur rent \nstate to the intended future state created by the project", + "chunk_order_index": 25, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-20479a7b52eb41d9c6e3afece7b26782": { + "tokens": 1200, + "content": "sources.Enabling change can be challenging as not all stak eholders \nembrace chang e.\nAttempting too much change in a short time can lead to \nchang e fatigue and/or resistance.\nStakeholder enga gement and motiva tional approaches assist in \nchang e adoption.Prepare those impacted \nfor the adoption and sustainment of new and different behaviors and \nprocesses required for the transition from the cur rent \nstate to the intended future state created by the project outcomes.\nFigure 3-13. Enable Change to Achieve the Envisioned Future State\nPMI Seventh Edition July 202159\nSection 3 – Project Management PrinciplesChange in an organization can originate from internal sources, such as the need for a new \ncapability or in response to a performance gap. Change can also originate from external sources such \nas technological advances, demographic changes, or socioeconomic pressures. Any type of change involves some level of adaptability or assimilation by the group experiencing the change as well as the industries with which the group interacts.\nChange may be implemented by and have consequences for stakeholders. Enabling \nstakeholder change is part of facilitating the project to provide the required deliverable as well \nas the intended outcome.\nEnabling change in an organization can be challenging. Some people may seem inherently\n \nresistant to change or risk averse, and environments may display a conservative culture, among other reasons. Effective change management uses a motivational strategy rather than a forceful one. Engagement and two-way communication create an environment in which adoption and assimilation of change can occur or identify some valid concerns from the resistant users that \nmay need to be addressed.\nProject team members and project managers can work with relevant stakeholders to address \nresistance, fatigue, and change absorption to increase the probability that change will be adopted or assimilated successfully by customers or recipients of project deliverables. This includes communicating the vision and goals associated with the change early in the project to achieve buy-in for the change. The benefits of the change and the impact on work processes should be communicated to all levels of the organization throughout the project.\nIt is also important to adapt the speed of change to the change appetite, cost, and ability of \nthe stakeholders and the environment to assimilate change. Attempting to create too many changes in too short a time can lead to resistance because of change saturation. Even when stakeholders unanimously agree that change will produce more value or enhance outcomes, they often still have difficulty working through the actions that will deliver enhanced benefits. To foster benefits realization, the project may also include activities to reinforce the change after its implementation in order \nto avoid people returning to the initial state.\nRecognizing and addressing the needs of stakeholders to embrace change throughout the \nproject life cycle helps to integrate the resulting change in the project work, making a successful outcome more likely.\nMore information on organizational change management may be found in Managing Change \nin Organizations: A Practice Guide\n [4].\nPMI Seventh Edition July 202160\nThe Standard for Project ManagementREFERENCES\n[1] Project Management Institute. 2016. PMI Lexicon of Project Management Terms. Available from\nhttp://www.pmi.org/lexiconterms\n[2] Project Management Institute. 2006. PMI Code of Ethics and Professional Conduct. Available from\nhttp://www.pmi.org/codeofethics[3] Project Management Institute. 2019. The Standard for Risk Management in Portfolios, Programs,\nand Projects. Newtown Square, PA: Author.\n[4] Project Management Institute. 2013. Managing Change in Organizations: A Practice Guide.\nNewtown Square, PA: Author.\nPMI Seventh Edition July 202161\nIndexIndex\nA\nAcademic research, 18\nAcceptance criteria, 48Accountability\ncollaborative project team environment and, 30\nActive listening, 42Adaptability\ndefinition, 55resiliency and, principle, 55–57\nAdaptive environments\ndirection, insight and, 15feedback and, 14\nAgreements\nteam, 29\nAmbiguity\ndefinition, 51uncertainty and, 51\nAssumption(s), 35, 39Audience, 5Audits, quality, 48Authority\ncollaborative project team environment and, 30leadership contrasted with, 41\nAutocratic decision making, 41\nB\nBehavior\nhuman, 51system, 51\nBenefit(s)\ntailored project approach and, 46value and, 10Benefits realization\nstakeholders and, 32\nBusiness case\ncontent of, 34project initiation and, 34solutions and, 57updating, 35value and, 34\nBusiness direction, 15Business environment, 42, 58Business need, 35Business requirements, 35Business strategy, 35\nC\nCare, stewardship and, 26Change\nenabling to achieve envisioned future state, principle 58–59origination of, 59unexpected, 57\nChange appetite, 59Change control\nproject, 58systems thinking and, 54\nChange management, 58Charter. See Project charter; Team charterCode of ethics, 21Collaborative project team environment, \nprinciple 28–30\norganizational structures, 29processes and, 29roles, responsibilities and, 30team agreements, 29\nPMI Seventh Edition July 202162\nThe Standard for Project ManagementCommercial databases, 18\nCommunication\nconversation, 41engagement and, 33two-way, 59\nCompetencies, 17, 20Complexity\ndefinition, 50navigation of, principle, 50–52project, 50project life cycle and, 52sources of, 51\nCompliance\nstewardship and, 24, 27\nConfidentiality,", + "chunk_order_index": 26, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-9c886c9e5e4e2e3c59252938b1bd4d2b": { + "tokens": 1200, + "content": "29\nPMI Seventh Edition July 202162\nThe Standard for Project ManagementCommercial databases, 18\nCommunication\nconversation, 41engagement and, 33two-way, 59\nCompetencies, 17, 20Complexity\ndefinition, 50navigation of, principle, 50–52project, 50project life cycle and, 52sources of, 51\nCompliance\nstewardship and, 24, 27\nConfidentiality, 17Configuration management systems, 17Conformity, 48Context, tailoring based on, principle, 44–46Contractor(s), 38. See also Subcontractors\nConversation, 41Coordination\noversight and, 13types of, 12\nCost-benefit analysis, 35Criteria\nacceptance, 48, 49\nCultural influences and issues, 18Culture, organization and, 17\nD\nData assets, 17Databases, commercial, 18Deliverable(s). See also Result(s)\nbuilding quality into processes and, principle 47–49information flow and, 11outcomes and, 10, 34, 36, 57products as, 18, 20quality activities and, 48\nDomains. See Performance domains; Project \nperformance domainsE\nEfficiency, 48Employee capability, 17Engagement. See also Stakeholder engagement\ncommunication and, 33, 59\nEnvironment. See also Adaptive environments; \nGlobalization/global environment; Project environment\nbusiness, 42, 58external, 18internal, 16–17physical, 18regulatory, 18\nEthics, code of, 21Expertise, 15External environment, 18\nF\nFacilitation\nleadership skill and, 42support and, 14\nFacilities, geographical distribution of, 17Feasibility study, 34Feedback, objectives and, 13–14Financial considerations, 18\nG\nGeneral management principles, 22Geographic distribution of facilities/resources, 17Governance. See also Organizational governance\nmaintaining, 16organizational culture, structure and, 17portfolio, 19project, 11systems, organizational, 12\nGovernance documentation, 17\nPMI Seventh Edition July 202163\nIndexH\nHigh-performing projects, 42\nHolistic thinking approach, 57Holistic view, 27, 37, 44, 56Human behavior, 51Hybrid environments\ndirection, insight and, 15feedback and, 14\nI\nImprovement, continuous, 42Industry standards, 18Influence\nleadership and, 41stakeholders and, 31, 32\nInformation flow, value delivery system, 11Information technology software, 17Infrastructure, 17Innovation\nfacilitation of, 16technological, 51\nInsights\nbusiness direction and, 15contributing, 14\nInspection, 48, 56Integrity, 26Internal environment, 16–17Interpersonal skills\nstakeholder engagement and, 33\nK\nKey concepts, 4–5Key terms, 4–5Knowledge assets, 17\nL\nLeadership.\nauthority contrasted with, 41character and, 43motivation and, 43shared, 43styles and, 41Leadership behaviors, principle, 40–43\nauthority contrasted with, 41\nmotivators and, 43neutral facilitation and, 42personal character and, 43styles of leadership, 41\nLeadership skills and techniques, 42\nM\nManagement. See also Product management; \nProgram management; Project management\nchange, 58risk, 32supply chain, 8\nManager(s). See also Project managerMethodology, definition, 45Monitoring\nproject risk and, 54\nMotivation\nchange management and, 59leadership and, 43\nN\nNavigate complexity, principle, 50Negative risks (threats), 53\nO\nObjectives\nfeedback and, 13–14\nOpportunities\nadaptation and, 57identification of, 16maximizing, 53, 54\nOrganization(s)\ndefinition, 7\nOrganizational culture, 17Organizational governance\nsystems, 12\nOrganizational structure(s)\ncollaborative project team environment and, 29\nPMI Seventh Edition July 202164\nThe Standard for Project ManagementOutcome(s)\ndefinition, 4\nenvisioning, 57leadership and, 43stakeholders and, 32system interactions and, 39tailoring projects and, 46updating of, 35\nOutput(s).\noutcomes and, 4, 35, 55\nOversight, coordination and, 13\nP\nParameters, 29Performance, 48Performing organization, 4, 35, 36Physical environment, 18PM. See Project managerPortfolio(s)\ndefinition, 4governance of, 19, 20information flow and, 11\nPositive risks, 53. See also Opportunities\nPrinciples, project management\nadaptability and resiliency, embracing, 55–57change, enabling to achieve envisioned future state, 58–59collaborative project team environment, 28–30complexity, navigation of, 50–52general management principles and, 22leadership behaviors, 40–43overview, 21–23principle labels, 23quality, building into processes and deliverables, 47–49risk responses, optimizing, 53–54stakeholder engagement, 31–33stewardship, 24–27system interactions and, 37–39tailoring, context and,", + "chunk_order_index": 27, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b30ae6e95a1084333dc3a1281a7c5cb4": { + "tokens": 1200, + "content": "aborative project team environment, 28–30complexity, navigation of, 50–52general management principles and, 22leadership behaviors, 40–43overview, 21–23principle labels, 23quality, building into processes and deliverables, 47–49risk responses, optimizing, 53–54stakeholder engagement, 31–33stewardship, 24–27system interactions and, 37–39tailoring, context and, 44–46value, focus on, 34–36\nProblem solving, 57Process assets, 17Process(es)\ntailoring, 45\nProduct(s)\ndefinition, 4\nProduct life cycle\ndefinition, 19product management within, 19, 20program management within, 20project management within, 20sample, 19\nProduct management\nconsiderations, 18–20forms of, 20within a program, 20\nProfessional conduct, 21Program(s)\ndefinition, 4product management within, 20\nProgram management\nwithin product life cycle, 20\nProject(s)\nas agents of change, 58business case and, 34definition, 4, 50effects of, 27feedback and, 14functions associated with, 12–16internal and external factors, 55uniqueness and, 45\nProject change control, 58Project closure, 16, 57Project complexity, 50Project environment\nadaptability, resilience and, 56–57external environment, 18internal environment, 16–17\nProject governance, 11Project justification, 35Project life cycle\ncomplexity and, 50, 52tailoring and, 46\nProject management\ndefinition, 4within a product life cycle, 20within a program, 20values and, 21\nPMI Seventh Edition July 202165\nIndexProject management principles\nadaptability and resiliency, embracing, 55–57\nchange, enabling to achieve envisioned future state, 58–59collaborative project team environment, 28–30complexity, navigation of, 50–52general management principles and, 22leadership behaviors, 40–43overview, 21–23principle labels, 23quality, building into processes and deliverables, 47–49risk responses, optimizing, 53–54stakeholder engagement, 31–33stewardship, 24–27system interactions and, 37–39tailoring, context and, 44–46value, focus on, 34–36\nProject management team. See also Project \nteam(s)\nProject manager (PM). See also Competencies; \nLeadership skills\ndefinition, 4\nProject requirements, 4, 14, 32Project risk\nexposure, 54management of, 54\nProject sponsor, 57Project stakeholder(s)\nexternal, 25, 56\nProject success\nleadership and, 43tailoring and, 44\nProject team(s). \ncomplexity and, 52definition, 5diverse, 30quality measurement and, 48risk and, 53–54stakeholders and, 33systems thinking and, 38tailoring and, 45\nProject team environment, collaborative, 28–30Q\nQuality\nfor processes and deliverables, principle, 47–49definition, 47dimensions of, 48\nQuality activities, 48Quality management processes, positive \noutcomes of, 49\nQuality requirements\nidentification of, 32\nR\nRegulatory environment, 18Relevance, 58Reliability, 48Requested change, 13Requirement(s).\nbusiness, 35definition, 48project, 4, 14, 32\nResearch, academic, 18Resilience, 48Resiliency\nadaptability and, principle, 55–57definition, 55\nResource(s)\navailability of, 17direction and, 15–16geographical distribution of, 17\nResponsibility, collaborative project team \nenvironment and, 30\nRisk(s). See also Opportunities; Project risk; \nThreat(s)\ndefinition, 53identification of, 53negative (threats), 53positive (opportunities), 53project teams and, 53–54\nRisk appetite\ndefinition, 54\nRisk attitude, 53\nPMI Seventh Edition July 202166\nThe Standard for Project ManagementRisk responses, optimizing, principle, 53–54\nRisk threshold, 54Role(s)\nclarity on, 30definitions of, 53leadership and, 40, 41\nS\nSafety, security and, 17Satisfaction, 48Scope creep, 55, 56Security, safety and, 17Skills\nleadership, 41systems view and, 38–39\nSocial influences and issues, 18Social media, 51Software\ninformation technology, 17value realization and, 36\nSponsoring organization, 19Stakeholder(s). See also Project stakeholder(s)\nexternal, 25, 56project aspects and, 32project teams as group of, 33\nStakeholder change, 59Stakeholder engagement, effective, principle, \n31–33\nStakeholder expectations, 49Standards, industry, 18Stewardship, principle, 24–27\ncare and, 26compliance and, 27duties, 25–27integrity and, 26meanings and contexts, 25within the organization, 25outside the organization, 25overview, 24trustworthiness and, 27\nSubcontractor(s), 17, 38, 50Subsidiary programs, 4,", + "chunk_order_index": 28, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-5efb02b1632a5eec4174cfd09d5fc535": { + "tokens": 1200, + "content": "Stakeholder expectations, 49Standards, industry, 18Stewardship, principle, 24–27\ncare and, 26compliance and, 27duties, 25–27integrity and, 26meanings and contexts, 25within the organization, 25outside the organization, 25overview, 24trustworthiness and, 27\nSubcontractor(s), 17, 38, 50Subsidiary programs, 4, 20Success, 32. See also Project success\nvalue and, 34Support\nfacilitation and, 14\nSustainability, 25, 48System(s)\ndefinition, 37system of, 37\nSystem behavior, 51System for value delivery, 7–20\ncomponents of, sample system, 10creating value, 7–11definition, 5example of, 9functions associated with projects, 12–16information flow and, 11organizational governance systems and, 12overview, 7product management considerations, 18project environment, 16\nSystem interactions, principle, 37–39\npositive outcomes and, 39\nSystems thinking\ninternal and external conditions, 38project team and, 38skills and, 38–39timing elements and, 38\nT\nTailoring\nbenefits, direct and indirect, 46context and, principle, 44–46definition, 44positive outcomes and, 46\nTeam(s). See Project team(s)Team agreements, 29Team environment, collaborative, principle, \n28–30\nTechnological innovation, 51Threat(s)\ndecreasing exposure to, 53\nThreshold\nrisk, 54\nTrustworthiness, stewards and, 27\nPMI Seventh Edition July 202167\nIndexU\nUncertainty,\nambiguity and, 51\ndefinition, 51\nUniformity, 48\nV\nValue. See also System for value delivery\ncreating, 7–11definition, 5, 35delivery components, 8–10focus on, principle, 34–36optimization of, 57Value contribution, 36Value delivery. See also System for value delivery\ncomponents, 8\nValue engineering, 36Value realization, 36Variations, 54\nW\nWBS. See Work breakdown structure\nWork, performance of, 14Work breakdown structure (WBS)\ndecomposition and, 29\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021A GUIDE TO \nTHE PROJECT MANAGEMENT BODY OF KNOWLEDGE\n(PMBOK® GUIDE )\nThe information contained in the \nPMBOK® Guide is not an American \nNational Standard (ANS) and has not been processed in accordance with ANSI’s requirements for an ANS. As such, the information in the PMBOK\n® Guide may contain material \nthat has not been subjected to public review or a consensus process. In addition, it does not contain requirementconformance to an ANS standard.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20213Introduction\nThis section describes important information about A Guide to the Project Management Body \nof Knowledge (PMBOK® Guide) – Seventh Edition. It describes the relationship of the PMBOK® Guide \nto The Standard for Project Management [1],1 changes to the PMBOK® Guide, the relationship to \nPMIstandards+™ (PMI’s digital platform for standards), and provides a brief overview of the content.\n1.1 STRUCTURE OF THE PMBOK® GUIDE\nIn addition to this Introduction, this edition of the PMBOK® Guide contains three sections:\n▶Section 2 Project Performance Domains. This section identifies and describes eight\nproject performance domains that form an integrated system to enable successful delivery\nof the project and intended outcomes.\n▶Section 3 Tailoring. This section describes what tailoring is and presents an overview\nof what to tailor and how to go about tailoring individual projects.\n▶Section 4 Models, Methods, and Artifacts. This section presents a brief description\nof commonly used models, methods, and artifacts. These models, methods, and artifactsillustrate the range of options project teams can use to produce deliverables, organizework, and enable communication and collaboration.1\n1 The numbers in brackets refer to the list of references at the end of the PMBOK® Guide.\nPMI Seventh Edition July 20214\nPMBOK® Guide1.2 RELATIONSHIP OF THE PMBOK® GUIDE AND \nTHE ST\nANDARD FOR PROJECT MANAGEMENT\nWork in the project performance domains is guided by the principles of project management. \nAs described in The Standard for Project Management [1], a principle is a fundamental norm, truth, \nor value. The principles for project management provide guidance for the behavior of people \ninvolved in projects as they influence and shape the performance domains to produce the intended outcomes. While there is conceptual overlap between the principles and the performance domains, the principles guide behavior, while the performance domains present broad areas of focus in which to demonstrate that behavior. Figure 1-1 shows how the project management principles sit above the performance domains, providing guidance to activities in each performance domain.\nPMI Seventh Edition July 20215\nSection 1 – IntroductionGuide BehaviorPrinciples of Project Management\nStakeholders\nProject WorkTeam\nDelivery PlanningUncert ainty\nMeasurementProject\nPerformance\nDomainsBe a dilig ent, respectful,\nand caring stewardFocus on v alue\nBuild quality into\nprocesses and delive rablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely eng age\nwith stak eholders\nTail", + "chunk_order_index": 29, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-4d7db1dc19851d5981cef4514b90f027": { + "tokens": 1200, + "content": "Section 1 – IntroductionGuide BehaviorPrinciples of Project Management\nStakeholders\nProject WorkTeam\nDelivery PlanningUncert ainty\nMeasurementProject\nPerformance\nDomainsBe a dilig ent, respectful,\nand caring stewardFocus on v alue\nBuild quality into\nprocesses and delive rablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely eng age\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nDevelopmen t\nApproach\nand\nLife Cycle\nFigure 1-1. Relationship between Project Management Principles and Project Performance Domains\nPMI Seventh Edition July 20216\nPMBOK® Guide1.3 CHANGES TO THE PMBOK® GUIDE\nThis edition of the PMBOK® Guide focuses on delivering outcomes regardless of the approach \nused by the project team. However, project practitioners using the PMBOK® Guide also benefit from \nsome level of understanding of how to deliver projects.\nThis edition is very different from the inputs, tools/techniques, and outputs (ITTOs) from \nprevious editions of the PMBOK® Guide. In the previous editions, the ITTOs supported implementation \nof various processes used in project management. The shift from a process-based standard to one \nbased on principles necessitates a different approach for thinking about the various aspects of \nproject management. Thus, the project performance domains represent a group of related activities \nthat are critical for the effective delivery of project outcomes. There are eight project performance \ndomains in this guide.\nTailoring is the deliberate adaptation of the project management approach, governance, \nand processes to make them more suitable for the given environment and the work at hand. The \ntailoring process is driven by the guiding project management principles, organizational values, and \norganizational culture.\nIn embracing the full spectrum of project approaches, this edition of the PMBOK® Guide \nrecognizes that no publication can capture every tool, technique, or practice that project teams \nmight use. Therefore, this edition presents an array of commonly used models, methods, and \nartifacts that project practitioners can use to accomplish their work.\n1.4 RELATIONSHIP TO PMIstandards+\nInformation in this guide is furt her elaborated on PMIstandards+, P MI’s digital content platform. \nThe digital platform encompas ses current and emerging pract ices and other useful informatio n \nrelated to PMI’s library of standards products. It also includes practical examples of applicat ion within \nvarious contexts and industry segments. PMIstandards+ evolved in response to advances and changes \nin how projects can be delivere d. It offers a dynamic body of knowle dge with real-time access and \nin-depth information that is ali gned to PMI standards and c arefully vetted by a panel of subject matter \nexperts representing a wide range of expertise.\nPMI Seventh Edition July 20217Project \nPerformance Domains\nA project performance domain is a group of related activities that are critical for the effective \ndelivery of project outcomes. Project performance domains are interactive, interrelated, and \ninterdependent areas of focus that work in unison to achieve desired project outcomes. There are eight project performance domains:\n▶Stakeholders,\n▶Team,\n▶Development Approach and Life Cycle,\n▶Planning,\n▶Project Work,\n▶Delivery,\n▶Measurement, and\n▶Uncertainty.2\nTogether the performance domains form a unified whole. In this way, the performance domains \noperate as an integrated system, with each performance domain be ing interdependent of the other \nperformance domains to enable succe ssful delivery of the project and its intended outcomes.\nPerformance domains run concurrently throughout the project, regardless of how value is \ndelivered (frequently, periodically, or at the end of the project). For example, project leads spend \ntime focused on stakeholders, the project team, the project life cycle, the project work, and so forth, \nfrom the outset of the project to its closure. These areas of focus are not addressed as siloed e fforts \nbecause they overlap and interconnect. The ways in which the performance domains relate are \ndifferent for each project, but they are present in every project.\nThe specific activities undertake n within each of the performance do mains are determined \nby the context of the organizatio n, the project, deliverables, the project team, stakeholders, and \nother factors. The performance domains are presented in the follo wing sections wit hout specific \nweighting or order.\nPMI Seventh Edition July 20218\nPMBOK® Guide2.1 STAKEHOLDER PERFORMANCE DOMAIN\nSTAKEHOLDER PERFORMANCE DOMAIN\nA productive working relationship with stak eholders \nthroughout the project.\nStakeholder agreement with project objectiv es.\nStakeholders who are project beneficiaries are suppor tive \nand satisfied wh ile stakeholders who may oppose the \nproject or its deliverables do not nega tively impact project \noutcomes.The Stakeholder \nPerformance Domain \naddresses activities and functions associated with stakeholder s.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-1. Stakeholder Performance Domain\nThe following definitions are relevant to the Stakeholder Performance Domain:\nStakeholder. An individual, group, or organization that may affect, be affected by, or perceive \nitself to be affected by a decision, activity, or outcome of a project, program, or portfolio.\nStakeholder Analysis. A method of systematically gathering and analyzing quantitative and \nqualitative information to determine whose interests should be taken into account throughout \nthe project. \nPMI Seventh Edition July 20219\nSection 2 – Project Performance Domains", + "chunk_order_index": 30, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-03111e475d5b0638f4ea2f7775880a7a": { + "tokens": 1200, + "content": "relevant to the Stakeholder Performance Domain:\nStakeholder. An individual, group, or organization that may affect, be affected by, or perceive \nitself to be affected by a decision, activity, or outcome of a project, program, or portfolio.\nStakeholder Analysis. A method of systematically gathering and analyzing quantitative and \nqualitative information to determine whose interests should be taken into account throughout \nthe project. \nPMI Seventh Edition July 20219\nSection 2 – Project Performance DomainsProjects are performed by people and for people. This performance domain entails working \nwith stakeholders to maintain alignment and engaging with them to foster positive relationships \nand satisfaction.\nStakeholders include individuals, groups, and organizations (see Figure 2-2). A project can \nhave a small group of stakeholders or potentially millions of stakeholders. There may be different \nstakeholders in different phases of the project, and the influence, power, or interests of stakeholders may change as the project unfolds.\n• Project Manage r\n• Project Manag ement\nTeam\n• Project Team• Governing Bodies\n• PMOs\n• Steering Committees• Suppliers\n• Customers\n• End Users\n• Regulatory Bodies\nFigure 2-2. Examples of Project Stakeholders\nPMI Seventh Edition July 202110\nPMBOK® GuideEffective stakeholder identification, analysis, and engagement includes stakeholders who are \ninternal and external to the organization, those who are supportive of the project, and those who \nmay not be supportive or are neutral. While having relevant technical project management skills is an important aspect of successful projects, having the interpersonal and leadership skills to work effectively with stakeholders is just as important, if not more so.\n2.1.1 STAKEHOLDER ENGAGEMENT\nStakeholder engagement includes implementing strategies and actions to promote productive \ninvolvement of stakeholders. Stakeholder engagement activities start before or when the project starts and continue throughout the project.\nIdentify\nPrioritizeUnderstand Monitor\nAnalyze Engage\nFigure 2-3. Navigating Effective Stakeholder Engagement\nPMI Seventh Edition July 202111\nSection 2 – Project Performance DomainsDefining and sharing a clear vision at the start of the project can enable good relationships \nand alignment throughout the project. Establishing a clear vision that key stakeholders agree on can \nentail some challenging negotiations, especially with stakeholders who are not necessarily in favor of the project or its intended outcomes. As shown in Figure 2-3, there are several steps to engage stakeholders effectively.\n2.1.1.1 Identify\nHigh-level stakeholder identification may be carried out prior to forming the project team. \nDetailed stakeholder identification progressively elaborates the initial work and is a continuous activity throughout the project. Some stakeholders are easy to identify, such as the customer, sponsor, project team, end users, and so forth, but others can be difficult to identify when they are not directly connected to the project.\n2.1.1.2 Understand and Analyze\nOnce stakeholders are identified, the project manager and the project team should seek \nto understand stakeholders’ feelings, emotions, beliefs, and values. These elements can lead to additional threats or opportunities for the project outcomes. They can also change quickly, and as such, understanding and analyzing stakeholders is an ongoing action.\nRelated to understanding the project stakeholders is the need to analyze aspects of each \nstakeholder’s position on and perspective of the project. Analyzing stakeholders considers several stakeholder aspects, such as:\n▶Power,\n▶Impact,\n▶Attitude,\n▶Beliefs,\n▶Expectations,\n▶Degree of influence,\n▶Proximity to the project,\n▶Interest in the project, and\n▶Other aspects surrounding stakeholder interaction with the project.\nPMI Seventh Edition July 202112\nPMBOK® GuideThis information helps the project team consider interactions that may in fluence the \nmotivations, actions, and behaviors of stakeholders. In addition to individual analysis, the project \nteam should consider how stakeholders interact with each other, as they often form alliances that \nhelp or hinder the project’s objectives. For example, if the project team believes a key business \nmanager is highly influential but has negative perceptions related to the project, they can explore \nhow to detect the business manager’s perceptions and respond appropriately as the project unfolds. \nIn all cases, the analysis work should be held in confidence by the project team since the information \ncould be misinterpreted outside the context for the analysis.\n2.1.1.3 Prioritize\nOn many projects, there are t oo many stakeholders involved for t he project team to engage \ndirectly or effectively with all of them. Based on its anal ysis, t he project team can complete an initial \nprioritization of stakeholders. It is common to focus on stakeholders with the most power and interest \nas one way to prioritize engageme nt. As events unfold throughout t he project, the project team may \nneed to reprioritize based on new stakeholders or evolving changes in the stakeholder landscape.\n2.1.1.4 Engage\nStakeholder engagement entails working collaboratively with stakeholders to introduce the \nproject, elicit their requirements, manage expectations, resolve issues, negotiate, prioritize, problem \nsolve, and make decisions. Engaging stakeholders requires the application of soft skills, such as \nactive listening, interpersonal skills, and conflict management, as well as leadership skills such as \nestablishing the vision and critical thinking.\nCommunication with stakeholders can take place via written or verbal means, and it can be \nformal or informal. Examples of each type of communication are shown in Table 2-1.\nPMI Seventh Edition July 202113\nSection 2 – Project Performance DomainsCommunication methods include push, pull, and interactive communication:\n▶Push. Communication sent to stakeholders such as memos, emails, status reports,\nvoice mail, and so forth. Push communication is used for one-way communications withindividual", + "chunk_order_index": 31, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-44560986014a57dff0ad84aa387bfc50": { + "tokens": 1200, + "content": "critical thinking.\nCommunication with stakeholders can take place via written or verbal means, and it can be \nformal or informal. Examples of each type of communication are shown in Table 2-1.\nPMI Seventh Edition July 202113\nSection 2 – Project Performance DomainsCommunication methods include push, pull, and interactive communication:\n▶Push. Communication sent to stakeholders such as memos, emails, status reports,\nvoice mail, and so forth. Push communication is used for one-way communications withindividual stakeholders or groups of stakeholders. Push communication inhibits the abilityto immediately gauge reaction and assess understanding; therefore, it should be useddeliberately.\n▶Pull. Information sought by the stakeholder, such as a project team member going to anintranet to find communication policies or templates, running internet searches, and usingonline repositories. Pulling information is used for indirect sensing of stakeholder concerns.\nEngagement goes deeper than pushing or pulling communication. Engagement is interactive. \nIt includes an exchange of information with one or more stakeholders such as conversations, phone calls, meetings, brainstorming, product demos, and the like.\nWith all forms of communication, quick feedback loops provide useful information to:\n▶Confirm the degree to which the stakeholder(s) heard the message.\n▶Determine if stakeholders agree with the message.\n▶Identify nuanced or other unintended messages the recipient detected.\n▶Gain other helpful insights.Table 2-1. Types of Communication\nType Informal Formal\nVerbal\nWrittenPresentations\nProject reviewsBriefingsProduct demosBrainstorming\nProgress reports\nProject documentsBusiness caseConversationsAd hoc discussions\nBrief notes\nEmailInstant messaging/textingSocial media\nPMI Seventh Edition July 202114\nPMBOK® Guide2.1.1.5 Monitor\nThroughout the project, stakeholders will change as new stakeholders are identi fied and others \ncease to be stakeholders. As the project progresses, the attitude or power of some stakeholders may \nchange. In addition to identifying and analyzing new stakeholders, there is an opportunity to assess \nwhether the current engagement strategy is effective or if it needs to be adjusted. Therefore, the \namount and effectiveness of stakeholder engagement is monitored throughout the project.\nThe degree of stakeholder satisfaction can often be determined by having a conversation with \nstakeholders to gauge their satisfaction with the project deliverables and the overall management of \nthe project. Project and iteration reviews, product reviews, stage gates, and other methods are ways \nto obtain periodic feedback. For large groups of stakeholders, a survey can be used to assess the \ndegree of satisfaction. Where necessary, the stakeholder engagement approach can be updated to \nachieve higher stakeholder satisfaction.\n2.1.2 INTERACTIONS WITH OTHER PERFORMA NCE DOMAINS\nStakeholders permeate all aspects of the project. They define and prioritize the requirements \nand scope for the project team. They participate in and shape the planning. They determine \nacceptance and quality criteria for the project deliverables and outcomes. Much of the project work \nis around engaging and communicating with stakeholders. Throughout the project or at its closure, \nthey use the project deliverables and influence the realization of project outcomes.\nSome stakeholders can assist in lowering the amount of uncertainty present on a project while \nothers may cause an increase in uncertainty. Stakeholders such as customers, senior management, \nproject management office leads, or program managers will focus on measures of performance for \nthe project and its deliverables. These interactions are samples of how the Stakeholder Performance \nDomain integrates and interweaves with other performance domains, though they are not inclusive \nof all the ways stakeholder concerns interact throughout the performance domains.\nPMI Seventh Edition July 202115\nSection 2 – Project Performance Domains2.1.3 CHECKING RESULTS\nTable 2-2 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-2. Checking Outcomes—Stakeholder Performance Domain\nOutcome Check\nA productive working relationship \nwith stakeholders throughout the project\nStakeholder agreement with project \nobjectives\nStakeholders who are project \nbeneficiaries are supportive and satisfied; stakeholders who may oppose the project or its deliverables do not negatively \nimpact project resultsProductive working relationships with stakeholders can be observed. Ho wever, \nthe movement of stakeholders along a continuum of engagement can indicate the relative level of satisfaction with the project.\nA significant number of changes or modifications to the project and product \nrequirements in addition to the scope may indicate stakeholders are not engaged or aligned with the project objectives.\nStakeholder behavior can indicate whether project beneficiaries are satisfied \nand supportive of the project or whether they oppose it. Sur veys, interviews, \nand focus groups are also effective ways to determine if stakeholders are satisfied and supportive or if they oppose the project and its deliverables.\nA review of the project issue register and risk register can identify challenges \nassociated with individual stakeholders.\nPMI Seventh Edition July 202116\nPMBOK® Guide2.2 TEAM PERFORMANCE DOMAIN\nThis performance domain entails establishing the culture and environment that enables \na collection of diverse individuals to evolve into a high-performing project team. This includes \nrecognizing the activities needed to foster project team development and encouraging leadership behaviors from all project team members.TEAM PERFORMANCE DOMAIN\nShared ownership.\nA high-performing team.\nApplicable leadership and other interpersonal skills \ndemonstrated by all team members.The Team P erformance \nDomain addresses \nactivities and functions associated with the people who are responsi-ble for producing project deliverables that realize business outcomes.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-4. Team Performance Domain\nThe following definitions are relevant to the Team Performance Domain:\nProject Manager. The person assigned by the performing organization to lead the project team \nthat is responsible for achieving the project objectives.\nProject Management Team. The members of the project team who are directly involved in project \nmanagement activities.", + "chunk_order_index": 32, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-1fe78929e30869d4ce7365694133fb9b": { + "tokens": 1200, + "content": "with the people who are responsi-ble for producing project deliverables that realize business outcomes.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-4. Team Performance Domain\nThe following definitions are relevant to the Team Performance Domain:\nProject Manager. The person assigned by the performing organization to lead the project team \nthat is responsible for achieving the project objectives.\nProject Management Team. The members of the project team who are directly involved in project \nmanagement activities.\nProject Team. A set of individuals performing the work of the project to achieve its objectives. \nPMI Seventh Edition July 202117\nSection 2 – Project Performance Domains2.2.1 PROJECT TEAM MANAGEMENT AND LEADERSHIP\nProject management entails applying knowledge, skills, tools, and techniques for management \nactivities as well as leadership activities. Management activities focus on the means of meeting \nproject objectives, such as having effective processes, planning, coordinating, measuring, and monitoring work, among others. Leadership activities focus on people. Leadership includes influencing, motivating, listening, enabling, and other activities having to do with the project team. Both are important in delivering the intended outcomes.\n2.2.1.1 Centralized Management and Leadership\nWhile leadership activities should be practiced by all project team members, management \nactivities may be centralized or distributed. In an environment where management activities are centralized, accountability (being answerable for an outcome), is usually assigned to one individual, such as the project manager or similar role. In these situations, a project charter or other authorizing document can provide approval for the project manager to form a project team to achieve the project outcomes.\n2.2.1.2 Distributed Management and Leadership\nSometimes project management activities are shared among a project management team, \nand project team members are responsible for completing the work. There are also situations where a project team may self-organize to complete a project. Rather than having a designated project manager, someone within the project team may serve as facilitator to enable communication, collaboration, and engagement. This role may shift among project team members.\nServant leadership is a style of leadership that focuses on understanding and addressing the \nneeds and development of project team members in order to enable the highest possible project team performance. Servant leaders place emphasis on developing project team members to their highest potential by focusing on addressing questions, such as:\n▶Are project team members growing as individuals?\n▶Are project team members becoming healthier, wiser, freer, and more autonomous?\n▶Are project team members more likely to become servant leaders?\nPMI Seventh Edition July 202118\nPMBOK® GuideServant leaders allow project teams to self-organize when possible and increase levels of \nautonomy by passing appropriate decision-making opportunities to project team members. Servant \nleadership behaviors include:\n▶Obstacle removal. Since it is the project team who generates the majority of business\nvalue, a critical role for the servant leader is to maximize delivery by removing impedimentsto their progress. This includes solving problems and removing obstacles that may behampering the project team’s work. By solving or easing these impediments, the projectteam can deliver value to the business faster.\n▶Diversion shield. Servant leaders protect the project team from internal and external\ndiversions that redirect the project team from the current objectives. Time fragmentationreduces productivity, so shielding the project team from noncritical, external demandshelps the project team stay focused.\n▶Encouragement and development opportunities. The servant leader also provides\ntools and encouragement to keep the project team satisfied and productive. Learning whatmotivates project team members as individuals and finding ways to reward them for goodwork helps keep project team members satisfied.\n2.2.1.3 Common Aspects of Team Development\nRegardless of how the management activities are structured, there are common aspects \nof project team development that are relevant for most project teams. These include: \n▶Vision and objectives. It is essential that everyone is aware of the project vision and\nobjectives. The vision and objectives are communicated throughout the project. Thisincludes referencing the intended outcomes when the project team is engaged in makingdecisions and solving problems.\n▶Roles and responsibilities. It is important to make sure project team members\nunderstand and fulfill their roles and responsibilities. This can include identifying gapsin knowledge and skills as well as strategies to address those gaps through training,mentoring, or coaching.\nPMI Seventh Edition July 202119\nSection 2 – Project Performance Domains▶Project team operations. Facilitating project team communication, problem solving, and\nthe process of coming to consensus may include working with the project team to develop\na project team charter and a set of operating guidelines or project team norms.\n▶Guidance. Guidance can be directed to the overall project team to keep everyone headed\nin the right direction. Individual project team members may also provide guidance on\na particular task or deliverable.\n▶Growth. Identifying areas where the project team is performing well and pointing out areas\nwhere the project team can improve helps the project team to grow. Working collaboratively,the project team can identify goals for its improvement and take steps to meet those goals.This also applies to each individual on the project team. Individuals may want to grow theirskills and experience in certain areas, and the project manager can assist with that.\nThere are several models that describe the stages of project team growth included in Section 4.\nWhen project teams form across different organizations based on a contract, strategic \npartnership, or other business relationship, specific roles that perform various functions may be more formalized and less flexible depending on the contract or other terms. Such arrangements often require more up-front work to establish a “one team” mindset, ensure project team members understand how everyone contributes to the project, and establish other enablers that integrate skills, capabilities, and processes.\nPMI", + "chunk_order_index": 33, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-807003f374e7d2c2f05e374bb8fae00e": { + "tokens": 1200, + "content": "of project team growth included in Section 4.\nWhen project teams form across different organizations based on a contract, strategic \npartnership, or other business relationship, specific roles that perform various functions may be more formalized and less flexible depending on the contract or other terms. Such arrangements often require more up-front work to establish a “one team” mindset, ensure project team members understand how everyone contributes to the project, and establish other enablers that integrate skills, capabilities, and processes.\nPMI Seventh Edition July 202120\nPMBOK® Guide2.2.2 PROJECT TEAM CULTURE\nEach project team develops its own team culture. The project team’s culture may be established \ndeliberately by developing project team norms, or informally through the behaviors and actions of its \nproject team members. The project team culture operates within the organization’s culture but reflects the project team’s individual ways of working and interacting.\nThe project manager is key in establishing and maintaining a safe, respectful, nonjudgmental \nenvironment that allows the project team to communicate openly. One way to accomplish this is by modeling desired behaviors, such as:\n▶Transparency. Being transparent in how one thinks, makes choices, and processes\ninformation helps others identify and share their own processes. This can extend to beingtransparent about biases as well.\n▶Integrity. Integrity is comprised of ethical behavior and honesty. Individualsdemonstrate honesty by surfacing risks, communicating their assumptions and basisof estimates, delivering bad news early, ensuring status reports provide an accuratedepiction of the project’s status, and in many other ways. Ethical behavior can includesurfacing potential defects or negative effects in product design, disclosing potentialconflicts of interest, ensuring fairness, and making decisions based on environmental,stakeholder, and financial impacts.\nHuman beings have a set of biases, some of them unconscious and some of them conscious. \nFor example, one person may feel that unless a schedule is displayed using a software-generated Gantt chart, that it is not a true or valid schedule. Another person may have a contrasting bias that detailed planning any further out than 30 days is a waste of time. Being open and transparent about biases up front establishes a culture of openness and trust that can enable consensus and collaboration. \nPMI Seventh Edition July 202121\nSection 2 – Project Performance Domains▶Respect. Demonstrating respect for each person, how the person thinks, the person’s\nskills, and the perspective and expertise the person brings to the project team sets thestage for all project team members to adopt this behavior.\n▶Positive discourse. Throughout the project, diverse opinions, different ways of\napproaching situations, and misunderstandings will occur. These are a normal part ofconducting projects. They present an opportunity to have a dialogue rather than a debate.A dialogue entails working with others to resolve divergent opinions. The goal is to arriveat a resolution that all parties can embrace. A debate, on the other hand, is a win-losescenario where people are more interested in winning personally than they are in beingopen to alternative solutions to a problem.\n▶Support. Projects can be challenging from the perspectives of technical challenges,\nenvironmental influences, and interpersonal interactions. Supporting project teammembers through problem solving and removing impediments builds a supportive cultureand leads to a trusting and collaborative environment. Support can also be demonstratedby providing encouragement, showing empathy, and engaging in active listening.\n▶Courage. Recommending a new approach to a problem or a way of working can beintimidating. Likewise, it can be challenging to disagree with a subject matter expert orsomeone with greater authority. However, demonstrating the courage that it takes to makea suggestion, disagree, or try something new enables a culture of experimentation andcommunicates to others that it is safe to be courageous and try new approaches.\n▶Celebrating success. Focusing on project goals, challenges, and issues often sidelines\nthe fact that individual project team members and the project team as a whole are steadilyprogressing toward those goals. Because work takes priority, project team members maydefer recognizing demonstrations of innovation, adaptation, service to others, and learning.However, recognizing such contributions in real time can keep the project team andindividuals motivated.\nPMI Seventh Edition July 202122\nPMBOK® Guide2.2.3 HIGH-PERFORMING PROJECT TEAMS\nOne goal of effective leadership is to create a high-performing project team. There are a number \nof factors that contribute to high-performing project teams. The list below is not comprehensive, but \nit identifies some of the factors associated with high-performing project teams.\n▶Open communication. An environment that fosters open and safe communication\nallows for productive meetings, problem solving, brainstorming, and so forth. It is also the\ncornerstone for other factors, such as shared understanding, trust, and collaboration.\n▶Shared understanding. The purpose for the project and the benefits it will provide are\nheld in common.\n▶Shared ownership. The more ownership of the outcomes that project team members\nfeel, the better they are likely to perform.\n▶Trust. A project team in which its members trust each other is willing to go the extra distanceto deliver success. People are less likely to do the extra work it may take to succeed if they\ndo not trust their project team members, project manager, or the organization.\n▶Collaboration. Project teams that collaborate and work with each other rather than work\nin silos or compete tend to generate more diverse ideas and end up with better outcomes.\n▶Adaptability. Project teams that are able to adapt the way they work to the environment\nand the situation are more effective.\n▶Resilience. When issues or failures occur, high-performing project teams recover quickly.\n▶Empowerment. Project team members who feel empowered to make decisions about the\nway they", + "chunk_order_index": 34, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8c7dbc3db07f5753b258b37dea325667": { + "tokens": 1200, + "content": "Collaboration. Project teams that collaborate and work with each other rather than work\nin silos or compete tend to generate more diverse ideas and end up with better outcomes.\n▶Adaptability. Project teams that are able to adapt the way they work to the environment\nand the situation are more effective.\n▶Resilience. When issues or failures occur, high-performing project teams recover quickly.\n▶Empowerment. Project team members who feel empowered to make decisions about the\nway they work perform better than those who are micromanaged.\n▶Recognition. Project teams who are recognized for the work they put in and the\nperformance they achieve are more likely to continue to perform well. Even the simple\nact of showing appreciation reinforces positive team behavior.\nPMI Seventh Edition July 202123\nSection 2 – Project Performance Domains2.2.4 LEADERSHIP SKILLS\nLeadership skills are useful for all project team members whether the project team is operating \nin an environment with a centralized authority or a shared leadership environment. The following \nsections describe some of the traits and activities associated with leadership.\n2.2.4.1 Establishing and Maintaining Vision\nEvery project has a purpose. Understanding that purpose is critical for people to commit \ntheir time and energy in the right direction toward achieving the project purpose. The project vision summarizes the project’s purpose clearly and succinctly. It describes a realistic, attractive view of the future project outcomes.\nIn addition to briefly describing the desired future state, the vision is a powerful motivational \ntool. It is a way to create passion and meaning for a project’s envisioned goal. A common vision helps keep people pulling in the same direction. When immersed in the details of everyday work, a clear understanding of the end goal can help guide local decisions toward the desired project outcome.\nA vision developed collaboratively between project team members and key stakeholders should \nanswer these questions:\n▶What is the project purpose?\n▶What defines successful project work?\n▶How will the future be better when the project outcomes are delivered?\n▶How will the project team know that it is drifting from the vision?\nA good vision is clear, concise, and actionable. It does the following:\n▶Summarizes the project with a powerful phrase or short description,\n▶Describes the best achievable outcome,\n▶Creates a common, cohesive picture in project team members’ minds, and\n▶Inspires passion for the outcome.\nPMI Seventh Edition July 202124\nPMBOK® Guide2.2.4.2 Critical Thinking\nThroughout the various project performance domains, there is a need to recognize bias, \nidentify the root cause of problems, and consider challenging issues, such as ambiguity, complexity, \nand so forth. Critical thinking helps to accomplish these activities. Critical thinking includes disciplined, rational, logical, evidence-based thinking. It requires an open mind and the ability to analyze objectively. Critical thinking, especially when applied to discovery, can include conceptual imagination, insight, and intuition. It can also include reflective thinking and metacognition (thinking about thinking and being aware of one’s awareness).\nProject team members apply critical thinking to:\n▶Research and gather unbiased, well-balanced information;\n▶Recognize, analyze, and resolve problems;\n▶Identify bias, unstated assumptions, and values;\n▶Discern the use of language and the influence on oneself and others;\n▶Analyze data and evidence to evaluate arguments and perspectives;\n▶Observe events to identify patterns and relationships;\n▶Apply inductive, deductive, and abductive reasoning appropriately; and\n▶Identify and articulate false premises, false analogy, emotional appeals, and other faulty logic.\n2.2.4.3 Motivation\nMotivating project team members has two aspects: the first is understanding what motivates \nproject team members to perform, and the second is working with project team members in such \na way that they remain committed to the project and its outcomes.\nMotivation to perform can be intrinsic or extrinsic. Intrinsic motivation comes from inside the \nindividual or is associated with the work. It is associated with finding pleasure in the work itself rather than focusing on rewards. Extrinsic motivation is performing work because of an external reward such as a bonus. Much of the work done on projects is aligned with intrinsic motivation.\nPMI Seventh Edition July 202125\nSection 2 – Project Performance DomainsExamples of intrinsic motivation factors include:\n▶Achievement,\n▶Challenge,\n▶Belief in the work,\n▶Making a difference,\n▶Self-direction and autonomy,\n▶Responsibility,\n▶Personal growth,\n▶Relatedness, and\n▶Being part of a project team.\nPeople are not motivated by just one thing; however, most people have a dominant motivator. \nTo effectively motivate project team members, it is helpful to know each member’s dominant \nmotivator. For example, a project team member who is motivated by challenge will respond well to stretch goals and problems to solve. A project team member who is motivated by relatedness will respond to being part of a dynamic working group. Project team members who thrive on autonomy will perform better if they can establish their own ways of working and even their own work hours and cadence. Therefore, tailoring motivation methods based on individual preferences helps to elicit the best individual and project team performance.\n2.2.4.4 Interpersonal Skills\nInterpersonal skills that are used frequently in projects include emotional intelligence, decision \nmaking, and conflict resolution among others.\n▶Emotional intelligence. Emotional intelligence is the ability to recognize our own emotions\nand those of others. This information is used to guide thinking and behavior. Recognition ofpersonal feelings, empathy for the feelings of others, and the ability to act appropriately arethe cornerstones for effective communication, collaboration, and leadership.\nPMI Seventh Edition July 202126\nPMBOK® GuideSince projects are undertaken by people and for people, emotional intelligence—the ability \nto", + "chunk_order_index": 35, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-0d50fedd13a679c702148b69690a374b": { + "tokens": 1200, + "content": ", and conflict resolution among others.\n▶Emotional intelligence. Emotional intelligence is the ability to recognize our own emotions\nand those of others. This information is used to guide thinking and behavior. Recognition ofpersonal feelings, empathy for the feelings of others, and the ability to act appropriately arethe cornerstones for effective communication, collaboration, and leadership.\nPMI Seventh Edition July 202126\nPMBOK® GuideSince projects are undertaken by people and for people, emotional intelligence—the ability \nto understand one’s self and effectively sustain working relationships with others—is critical \nin project team environments.\nThere are multiple models for defining and explaining emotional intelligence. They converge \non four key areas:\n▹Self-awareness. Self-awareness is the ability to conduct a realistic self-assessment.\nIt includes understanding our own emotions, goals, motivations, strengths, andweaknesses.\n▹Self-management. Self-management, also known as self-regulation, is the ability to\ncontrol and redirect disruptive feelings and impulses. It is the ability to think beforeacting, suspending snap judgments and impulsive decisions.\n▹Social awareness. Social awareness is about empathy and understanding andconsidering other people’s feelings. This includes the ability to read nonverbal cuesand body language.\n▹Social skill. Social skill is the culmination of the other dimensions of emotional\nintelligence. It is concerned with managing groups of people, such as project teams,building social networks, finding common ground with various stakeholders, andbuilding rapport.\nSelf-awareness and self-management are required to remain calm and productive during \ndifficult project circumstances. Social awareness and social skills allow for better bonds with project team members and project stakeholders. Emotional intelligence is a basis of all forms of leadership.\nFigure 2-5 shows the key points for each of the four aspects of emotional intelligence and how \nthey relate. The aspects having to do with oneself are on the top, and the social aspects are on the bottom. Awareness is on the left side, and management and skill are on the right side.\nPMI Seventh Edition July 202127\nSection 2 – Project Performance DomainsSome models for emotional intelligence include a fifth area for motivation. Motivation in this \ncontext is about understanding what drives and inspires people.\n▶Decision making. Project managers and project teams make many decisions daily. Some\ndecisions may be fairly inconsequential to the project outcome, such as where to go for a\nteam lunch, and others will be very impactful, such as what development approach to use,which tool to use, or what vendor to select.Social Awareness\n•Be empathetic\n•Employ active\nlisteningSocial Skill\n•Establish rapport\n•Build effectiveteams\n•Manage attitudeSelf-Management\n•Think before you act\n•Build trustSelf-Awareness\n•How do you affectthe team?\n•How does the teamaffect you?\nFigure 2-5. Components of Emotional Intelligence\nPMI Seventh Edition July 202128\nPMBOK® GuideDecisions can be made unilaterally. This has the advantage of being fast but is prone \nto error when compared to engaging the wisdom of a diverse set of people. Unilateral \ndecision making can also demotivate people who are impacted by the decision since they may feel their views and concerns were not considered.\nGroup-based decision making has the benefit of tapping into the broad knowledge base \nof a group. Engaging people in the decision-making process also increases buy-in to the outcome, even if the option selected may not have been everyone’s first choice. Generally, inclusion increases commitment to the decision. The downside of group decision making is the time required and interruption to teamwork that can occur when taking people away from their work to be consulted in a decision.\nProject team decision making often follows a diverge/converge pattern. This means \nstakeholders are first engaged to generate a broad set of solution alternatives or approaches. This is often done individually to avoid the effect of senior or charismatic stakeholders unduly influencing other stakeholders. Then, after a broad spectrum of decision alternatives have been generated, the project team converges on a preferred solution.\nThe goal is to make decisions quickly while engaging the diverse knowledge of a group in \nan inclusive and respectful manner. Some decisions may be made in a different direction than some people prefer, but everyone has an opportunity to explain their position. In the end, the deciding authority, whether an individual or a group, makes a decision based on the presented analysis and with consideration for stakeholder expectations.\nCareful selection of which decisions should go for group discussion and voting limits the \ninterruptions and task switching experienced by the project team. Many approaches such as Roman voting, wideband Delphi estimating, and fist of five voting use the diverge/converge pattern. They aim to engage individual input while voting at the same moment, which minimizes groupthink.\nFor those decisions that are beyond the authority of the project team to decide, the project \nteam can investigate alternatives, consider impacts of each alternative, and escalate the decision to someone with the proper authority. This process aligns with the philosophy of “don’t bring me problems, bring me solutions,” while remaining aligned with organizational governance regarding decision-making authority.\nPMI Seventh Edition July 202129\nSection 2 – Project Performance Domains▶Conflict management. Conflict happens on all projects. Projects operate in dynamic\nenvironments and face many mutually exclusive constraints including budget, scope,schedule, and quality, which can lead to conflicts. It is not uncommon to want to avoidconflict, but not all conflict is negative. How conflict is handled can either lead to moreconflict or to better decision making and stronger solutions.\nAddressing conflict before it escalates beyond useful debate leads to better outcomes.\nThe following approaches can help:\n▹Keep communications open and respectful. Because conflict can cause anxiety, it is\nimportant to keep a safe", + "chunk_order_index": 36, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-42c865b5ab4bd9d1d3948ed09ee065d2": { + "tokens": 1200, + "content": "exclusive constraints including budget, scope,schedule, and quality, which can lead to conflicts. It is not uncommon to want to avoidconflict, but not all conflict is negative. How conflict is handled can either lead to moreconflict or to better decision making and stronger solutions.\nAddressing conflict before it escalates beyond useful debate leads to better outcomes.\nThe following approaches can help:\n▹Keep communications open and respectful. Because conflict can cause anxiety, it is\nimportant to keep a safe environment to explore the source of the conflict. Without asafe environment, people will stop communicating. Make sure words, tone of voice,\nand body language remain nonthreatening.\n▹Focus on the issues, not the people. Conflict is based on people perceiving situations\ndifferently. It should not be personal. The focus is on resolving the situation,\nnot casting blame.\n▹Focus on the present and future, not the past. Stay focused on the current situation,\nnot past situations. If something similar happened previously, bringing up the past willnot resolve the current situation. In fact, it can serve to intensify the current situationeven more.\n▹Search for alternatives together. Damage incurred from conflict can be repaired by\nlooking for resolutions and alternatives together. It can also create more constructiverelationships. This moves the conflict into more of a problem-solving space wherepeople can work together to generate creative alternatives.\nThere are several models for addressing and resolving conflict. Some of them are discussed \nin Section 4.\nPMI Seventh Edition July 202130\nPMBOK® Guide2.2.5 TAILORING LEADERSHIP STYLES\nAs with all aspects of projects, leadership styles are also tailored to meet the needs of the \nproject, the environment, and the stakeholders. Some of the variables that influence tailoring of \nleadership styles include:\n▶Experience with the type of project. Organizations and project teams with experience\non a specific type of project may be more self-managing and require less leadership. Whena project is new to an organization, the tendency is to provide more oversight and to use\na more directive leadership style.\n▶Maturity of the project team members. Project team members who are mature in the\ntechnical field may need less oversight and direction than project team members who arenew to the organization, the team, or the technical specialty.\n▶Organizational governance structures. Projects operate within a larger organizational\nsystem. There may be the expectation that the organizational leadership style of topmanagement is recognized and reflected in the team’s leadership. The organizationalstructure influences the degree to which authority and accountability are centralized\nor distributed.\n▶Distributed project teams. A global project workforce is more common today than in the\npast. In spite of the best efforts to connect people virtually, it can be challenging to createthe same level of collaboration and relatedness that is achieved when working face to face.To minimize the pitfalls of distributed project teams, technology can be used to increaseand improve communication. Examples include:\n▹Ensure there are collaboration sites for working together.\n▹Have a project team site to keep all relevant project and project team\ninformation available.\n▹Use audio and video capabilities for meetings.\n▹Use technology to maintain ongoing contact, such as messaging and texting.\n▹Build in time to get to know remote project team members.\n▹Have at least one face-to-face meeting to establish relationships.\nPMI Seventh Edition July 202131\nSection 2 – Project Performance Domains2.2.6 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Team Performance Domain emphasizes the skills used by project managers and project \nteam members throughout the project. These skills are woven into all other aspects of the project. \nProject team members are called on to demonstrate leadership qualities and skills throughout the project. Communicating the project vision and benefits to stakeholders while planning and throughout the life cycle is one example. Another example is employing critical thinking, problem solving, and decision making while engaging in project work. Accountability for outcomes is demonstrated throughout the Planning and Measurement Performance Domains.\n2.2.7 CHECKING RESULTS\nTable 2-3 identifies the outcomes from effective application of the Team Performance Domain \non the left and ways of checking them on the right.\nTable 2-3. Checking Outcomes—Team Performance Domain\nOutcome Check\nShared ownership\nA high-performing team\nApplicable leadership and other \ninterpersonal skills are demonstrated by all project team membersAll project team members know the vision and objectives. The project team \nowns the deliverables and outcomes of the project.\nThe project team trusts each other and collaborates. The project team adapts \nto changing situations and is resilient in the face of challenges. The project team feels empo wered and empo wers and recognizes members of the \nproject team.\nProject team members apply critical thinking and interpersonal skills. Project \nteam member leadership styles are appropriate to the project context and environment.\nPMI Seventh Edition July 202132\nPMBOK® Guide2.3 DEVELOPMENT APPROACH AND LIFE CYCLE \nPERFORMANCE DOMAIN\nThis performance domain entails establishing the development approach, delivery cadence, \nand project life cycle needed to optimize project outcomes.DEVELOPMENT APPROACH AND LIFE CYCLE PERFORMANCE DOMAIN\nDevelopment approaches that are consistent with project \ndeliverables.\nA project life cycle consisting of phases that connect the \ndeliver y of business and stakeholder value from the \nbeginning to the end of the project.\nA project life cycle consisting of phases that facilitate the \ndeliver y cadence and development approach required to \nproduce the project deliv erables.The Development \nApproach and Life Cycle Performance Domain \naddresses activities and functions associated with the development approach, cadence, and \nlife cycle phases of the \nproject.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2", + "chunk_order_index": 37, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-6b8ecfc904ddb8dd0fa29c86ac169459": { + "tokens": 1200, + "content": "the \ndeliver y of business and stakeholder value from the \nbeginning to the end of the project.\nA project life cycle consisting of phases that facilitate the \ndeliver y cadence and development approach required to \nproduce the project deliv erables.The Development \nApproach and Life Cycle Performance Domain \naddresses activities and functions associated with the development approach, cadence, and \nlife cycle phases of the \nproject.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-6. Development Approach and Life Cycle Performance Domain\nPMI Seventh Edition July 202133\nSection 2 – Project Performance Domains2.3.1 DEVELOPMENT, CADENCE, AND LIFE CYCLE RELATIONSHIP\nThe type of project deliverable(s) determines how it can be developed. The type of deliverable(s) \nand the development approach influence the number and cadence for project deliveries. The \ndeliverable approach and the desired delivery cadence determine the project life cycle and its phases.\n2.3.2 DELIVERY CADENCE\nDelivery cadence refers to the timing and frequency of project deliverables. Projects can have \na single delivery, multiple deliveries, or periodic deliveries.\nThe following definitions are relevant to the Development Approach and Life Cycle Performance \nDomain:\nDeliverable. Any unique and verifiable product, result, or capability to perform a service that is \nrequired to be produced to complete a process, phase, or project.\nDevelopment Approach. A method used to create and evolve the product, service, or result during \nthe project life cycle, such as a predictive, iterative, incremental, adaptive, or hybrid method.\nCadence. A rhythm of activities conducted throughout the project.Project Phase. A collection of logically related project activities that culminates in the completion \nof one or more deliverables.\nProject Life Cycle. The series of phases that a project passes through from its start to \nits completion.\n \nPMI Seventh Edition July 202134\nPMBOK® Guide▶Single delivery. Projects that have a single delivery deliver at the end of the project. For\nexample, a process reengineering project may not have any deliveries until near the end of\nthe project when the new process is rolled out.\n▶Multiple deliveries. Some projects have multiple deliveries. A project may have multiple\ncomponents that are delivered at different times throughout the project. A project todevelop a new drug may have multiple deliveries, such as preclinical submissions, Phase 1trial results, Phase 2 trial results, Phase 3 trial results, registration, and then launch. In thisexample, the deliveries are sequential. Some projects have deliveries that are developedseparately rather than sequentially, such as a project to update building security. Deliveriesmay include physical barriers to entry, new badges, new key code pads, and so forth. Eachof these is a separate delivery, but they do not need to come in a specific order. All of thedeliveries are concluded before the project is considered to be completed.\n▶Periodic deliveries. Periodic deliveries are like multiple deliveries, but they are on a\nfixed delivery schedule, such as monthly or bimonthly. A new software application mayhave internal deliveries every two weeks, and then periodically release the deliveries\ninto the market.\nAnother delivery option is called continuous delivery. Continuous delivery is the practice of \ndelivering feature increments immediately to customers, often through the use of small batches of work and automation technology. Continuous delivery can be used for digital products. From the product management perspective, the emphasis is on delivering benefits and value throughout the product life cycle. Similar to a project, there are aspects that are development oriented. However, similar to a program, there can be many development cycles as well as maintenance activities. This type of undertaking works better with project teams that are stable and remain intact. Because the project teams are focused on one product, they can apply learning about the product, the stakeholders, and the market. This allows the team to respond to market trends and stay focused on value delivery. This practice is included in several approaches such as DevOps, #noprojects and Continuous Digital, for example. \nPMI Seventh Edition July 202135\nSection 2 – Project Performance Domains2.3.3 DEVELOPMENT APPROACHES\nA development approach is the means used to create and evolve the product, service, or result \nduring the project life cycle. There are different development approaches, and different industries \nmay use different terms to refer to development approaches. Three commonly used approaches are predictive, hybrid, and adaptive. As shown in Figure 2-7, these approaches are often viewed as a spectrum, from the predictive approach on one end of the spectrum, to the adaptive on the other end.\n▶Predictive approach. A predictive approach is useful when the project and product\nrequirements can be defined, collected, and analyzed at the start of the project. This mayalso be referred to as a waterfall approach. This approach may also be used when thereis a significant investment involved and a high level of risk that may require frequentreviews, change control mechanisms, and replanning between development phases. Thescope, schedule, cost, resource needs, and risks can be well defined in the early phasesof the project life cycle, and they are relatively stable. This development approach allowsthe project team to reduce the level of uncertainty early in the project and do much ofthe planning up front. Predictive approaches may use proof-of-concept developments toexplore options, but the majority of the project work follows the plans that were developednear the start of the project. Many times, projects that use this approach have templatesfrom previous, similar projects.Development Approaches\nPredictive Hybrid Adaptive \nIncreasingly Iterative and Incremental\nFigure 2-7. Development Approaches\nPMI Seventh Edition July 202136\nPMBOK® Guide▶Hybrid approach.", + "chunk_order_index": 38, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-bf53e3be4ec37cc6a07b065569257ab9": { + "tokens": 1200, + "content": "planning up front. Predictive approaches may use proof-of-concept developments toexplore options, but the majority of the project work follows the plans that were developednear the start of the project. Many times, projects that use this approach have templatesfrom previous, similar projects.Development Approaches\nPredictive Hybrid Adaptive \nIncreasingly Iterative and Incremental\nFigure 2-7. Development Approaches\nPMI Seventh Edition July 202136\nPMBOK® Guide▶Hybrid approach. A hybrid development approach is a combination of adaptive and\npredictive approaches. This means that some elements from a predictive approach are\nused and some from an adaptive approach are used. This development approach is usefulwhen there is uncertainty or risk around the requirements. Hybrid is also useful whendeliverables can be modularized, or when there are deliverables that can be developed\nby different project teams. A hybrid approach is more adaptive than a predictive approach,but less so than a purely adaptive approach.\nHybrid approaches often use an iterative or incremental development approach. An\niterative approach is useful for clarifying requirements and investigating various options.\nAn iterative approach may produce sufficient capability to be considered acceptable priorto the final iteration. An incremental approach is used to produce a deliverable throughouta series of iterations. Each iteration adds functionality within a predetermined time frame\n(a timebox). The deliverable contains the capability to be considered as completed onlyafter the final iteration.\nThe differences and interactions between iterative and incremental development are\nshown in Figure 2-8.\nAn example of a hybrid approach could be using an adaptive approach to develop a\nproduct that has significant uncertainty associated with the requirements. However, thedeployment of the product can be done using a predictive approach. Another example isa project with two main deliverables where one deliverable is developed using an adaptiveapproach and the other using a predictive approach.\nA project to develop a new community center might use a predictive approach for the \nconstruction of the grounds and facilities. The scope, schedule, cost, and resources would be determined up front, and changes would likely be minimal. The construction process would follow the plans and blueprints. \nPMI Seventh Edition July 202137\nSection 2 – Project Performance DomainsIterative\nTry different\nideas to\nclarify scope,approach, and\nrequirements\nIncremental\nProgressivelydevel op features\nand functionsFeedback and adapt Feedback and adapt Feedback and adaptVoice\nTranscription\nFeedback and adapt Feedback and adapt Feedback and adapt\nCustomer :\nIneed a \nmethod to capture ideas that mightchange.\nFigure 2-8. Iterative and Incremental Development\nPMI Seventh Edition July 202138\nPMBOK® Guide▶Adaptive approach. Adaptive approaches are useful when requirements are subject to\na high level of uncertainty and volatility and are likely to change throughout the project. A\nclear vision is established at the start of the project, and the initial known requirements arerefined, detailed, changed, or replaced in accordance with user feedback, the environment,or unexpected events.\nAdaptive approaches use iterative and incremental approaches. However, on the far side\nof the adaptive methods, the iterations tend to get shorter and the product is more likelyto evolve based on stakeholder feedback.\nWhile agility is a wide mindset that is broader than a development framework, agile\napproaches can be considered adaptive. Some agile approaches entail iterations that are1 to 2 weeks in duration with a demonstration of the accomplishments at the end of eachiteration. The project team is very engaged with the planning for each iteration. The projectteam will determine the scope they can achieve based on a prioritized backlog, estimate thework involved, and work collaboratively throughout the iteration to develop the scope.\nAs part of the community center, a project to establish senior services could be developed and \ndeployed iteratively. For example, the first iteration could be a Meals on Wheels program. This could be followed by a transportation service, then group outings and events, caregiver relief, adult day care, and so forth. Each service would be complete on its own and could be deployed when it was available. Each additional service would improve and increase the senior services for the community. \nA project to establish training for community action patrol volunteers could use an incremental \napproach. The training, comprised of basic training, logistics training, and patrol training, can be developed by different people. It can be developed at the same time in modules, or one module can be developed, feedback gathered, and then subsequent modules can be developed. However, the community action patrol training program will only be complete after all the modules are developed, integrated, and deployed.\nPMI Seventh Edition July 202139\nSection 2 – Project Performance Domains2.3.4 CONSIDERATIONS FOR SELECTING A DEVELOPMENT APPROACH\nThere are several factors that influence the selection of a development approach. They can \nbe divided into categories of the product, service, or result; the project; and the organization. The \nfollowing subsections describe the variables associated with each category.\n2.3.4.1 Product, Service, or Result\nThere are many variables associated with the nature of the product, service, or result that \ninfluence the development approach. The following list outlines some of the variables to consider when selecting the development approach.\n▶Degree of innovation. Deliverables where the scope and requirements are well\nunderstood, that the project team has worked with before, and that allow for planningup front are well suited to a predictive approach. Deliverables that have a high degree ofinnovation or where the project team does not have experience are better suited to a moreadaptive approach.\n▶Requirements certainty. When the requirements are well known and easy to define, a\npredictive approach fits well. When requirements are uncertain, volatile, or complex and areexpected to evolve throughout the project, a more adaptive approach may be", + "chunk_order_index": 39, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d0a571c3029dcad7172ddc1243d3b4ec": { + "tokens": 1200, + "content": ", that the project team has worked with before, and that allow for planningup front are well suited to a predictive approach. Deliverables that have a high degree ofinnovation or where the project team does not have experience are better suited to a moreadaptive approach.\n▶Requirements certainty. When the requirements are well known and easy to define, a\npredictive approach fits well. When requirements are uncertain, volatile, or complex and areexpected to evolve throughout the project, a more adaptive approach may be a better fit.\nThe community center will need a website so community members can access information \nfrom their home computer, phone, or tablet. The high-level requirements, design, and page layouts can be defined up front. An initial set of information can be deployed on the website. User feedback, new services, and internal stakeholder needs would provide content for a backlog. The backlog information would be prioritized, and the web team would develop and deploy new content. As new requirements and new scope emerge, the estimates for the work would be developed, the work would be done, and once tested, it would be demonstrated for stakeholders. If approved, the work would be deployed to the website. \nPMI Seventh Edition July 202140\nPMBOK® Guide▶Scope stability. If the scope of the deliverable is stable and not likely to change, a predictive\napproach is useful. If the scope is expected to have many changes, an approach that is closer\nto the adaptive side of the spectrum can be useful.\n▶Ease of change. Related to the requirements certainty and the scope stability, if the natureof the deliverable makes it difficult to manage and incorporate changes, then a predictiveapproach is best. Deliverables that can adapt easily to change can use an approach that ismore adaptive.\n▶Delivery options. As described in Section 2.3.2 on Delivery Cadence, the nature of the\ndeliverable and whether it can be delivered in components influences the developmentapproach. Products, services, or results that can be developed and/or delivered in piecesare aligned with incremental, iterative, or adaptive approaches. Some large projectsmay be planned using a predictive approach, but there may be some pieces that can bedeveloped and delivered incrementally.\n▶Risk. Products that are inherently high risk require analysis before choosing thedevelopment approach. Some high-risk products may require significant up-front planningand rigorous processes to reduce threats. Other products can reduce risk by building themmodularly and adapting the design and development based on learning to take advantageof emerging opportunities or reduce the exposure to threats.\n▶Safety requirements. Products that have rigorous safety requirements often use a\npredictive approach as there is a need for significant up-front planning to ensure that allthe safety requirements are identified, planned for, created, integrated, and tested.\n▶Regulations. Environments that have significant regulatory oversight may need to use a\npredictive approach due to the required process, documentation, and demonstration needs.\n2.3.4.2 Project\nProject variables that influence the development approach are centered around stakeholders, \nschedule constraints, and funding availability.\n▶Stakeholders. Projects that use adaptive methods require significant stakeholder\ninvolvement throughout the process. Certain stakeholders, such as the product owner,\nplay a substantial role in establishing and prioritizing work.\nPMI Seventh Edition July 202141\nSection 2 – Project Performance Domains▶Schedule constraints. If there is a need to deliver something early, even if it is not\na finished product, an iterative or adaptive approach is beneficial.\n▶Funding availability. Projects that work in an environment of funding uncertainty can\nbenefit from an adaptive or iterative approach. A minimum viable product can be released\nwith less investment than an elaborate product. This allows for market testing or marketcapture with minimum investment. Further investments can be made based on the marketresponse to the product or service.\n2.3.4.3 Organization\nOrganizational variables such as the structure, culture, capability, project team size, and \nlocation influence the development approach.\n▶Organizational structure. An organizational structure that has many levels, a rigid\nreporting structure, and substantial bureaucracy frequently uses a predictive approach.Projects that use adaptive methods tend to have a flat structure and may operate with self-organizing project teams.\n▶Culture. A predictive approach fits better in an organization with a culture of managingand directing, where the work is planned out and progress is measured against baselines.Adaptive approaches fit better within an organization that emphasizes project team self-management.\n▶Organizational capability. Transitioning from predictive development approaches to\nadaptive approaches and then to using agile methods is more than just stating that theorganization will now be agile. It entails shifting the mindset starting at the executive levelthroughout the organization. Organizational policies, ways of working, reporting structure,and attitude should all be aligned in order to employ adaptive methods successfully.\n▶Project team size and location. Adaptive approaches, especially agile methods, often\nwork better with project teams of 7 ± 2. Adaptive approaches also favor project teams thatare located in the same physical space. Large project teams and project teams that aremostly virtual may do better by using an approach that is closer to the predictive side of thespectrum. However, there are approaches that seek to scale up the adaptive approaches towork with large and dispersed project teams.\nPMI Seventh Edition July 202142\nPMBOK® Guide2.3.5 LIFE CYCLE AND PHASE DEFINITIONS\nThe type and number of project phases in a project life cycle depend upon many variables, \nchief among them the delivery cadence and the development approach, as described previously. \nExamples of phases in a life cycle include:\n▶Feasibility. This phase determines if the business case is valid and if the organization has\nthe capability to deliver the intended outcome.\n▶Design.", + "chunk_order_index": 40, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-9b89287f8f1ea5a0da3e42a85b1ad8c2": { + "tokens": 1200, + "content": "July 202142\nPMBOK® Guide2.3.5 LIFE CYCLE AND PHASE DEFINITIONS\nThe type and number of project phases in a project life cycle depend upon many variables, \nchief among them the delivery cadence and the development approach, as described previously. \nExamples of phases in a life cycle include:\n▶Feasibility. This phase determines if the business case is valid and if the organization has\nthe capability to deliver the intended outcome.\n▶Design. Planning and analysis lead to the design of the project deliverable that will bedeveloped.\n▶Build. Construction of the deliverable with integrated quality assurance activities isconducted.\n▶Test. Final quality review and inspection of deliverables are carried out before transition,go-live, or acceptance by the customer.\n▶Deploy. Project deliverables are put into use and transitional activities required forsustainment, benefits realization, and organizational change management are completed.\n▶Close. The project is closed, project knowledge and artifacts are archived, project team\nmembers are released, and contracts are closed.\nProject phases often have a phase gate review (also known as stage gate) to check that the \ndesired outcomes or exit criteria for the phase have been achieved before proceeding to the next phase. Exit criteria may tie to acceptance criteria for deliverables, contractual obligations, meeting specific performance targets, or other tangible measures.\nPMI Seventh Edition July 202143\nSection 2 – Project Performance DomainsFigure 2-9 shows a life cycle where one phase finishes before the next one begins. This type of \nlife cycle would fit well with a predictive development approach since each phase is only performed \nonce, and each phase focuses on a particular type of work. However, there are situations, such as adding scope, a change in requirements, or a change in the market that cause phases to be repeated.\nSample Predictive Life Cycle\nFeasibility\nDesign\nBuild\nTest\nDeploy\nClose\nFigure 2-9. Sample Predictive Life Cycle\nPMI Seventh Edition July 202144\nPMBOK® GuideFigure 2-10 shows a life cycle with an incremental development approach. There are three \niterations of plan, design, and build shown in this example. Each subsequent build would add \nfunctionality to the initial build.\nSample Life Cycle with an Incremental Development Approach\nConcept\nPlan\nDesign\nBuildPlan\nDesign\nBuildPlan\nDesign\nBuild\nClose\nFigure 2-10. Life Cycle with an Incremental Development Approach\nPMI Seventh Edition July 202145\nSection 2 – Project Performance DomainsFigure 2-11 shows a life cycle using an adaptive development approach. At the end of each \niteration (sometimes known as a sprint ), the customer reviews a functional deliverable. At the review, \nthe key stakeholders provide feedback, and the project team updates the project backlog of features \nand functions to prioritize for the next iteration.\nThis approach can be modified for use in continuous delivery situations, as described in \nSection 2.3.2 on Delivery Cadence.\nSeveral adaptive methodologies, including agile, use flow-based scheduling, which does not use \na life cycle or phases. One goal is to optimize the flow of deliveries based on resource capacity, materials, and other inputs. Another goal is to minimize time and resource waste and optimize the efficiency of processes and the throughput of deliverables. Projects that use these practices and methods usually adopt them from the Kanban scheduling system used in lean and just-in-time scheduling approaches. \nLife Cycle Using Adaptive Development Approach\nIteration 1 Iteration 2 Iteration 3\nFeedbac k\nBacklog\nPrioritizationFeedbac k\nBacklog\nPrioritizationDefine Project\nand\nProduct V ision\nFigure 2-11. Life Cycle with Adaptive Development Approach\nPMI Seventh Edition July 202146\nPMBOK® Guide2.3.6 ALIGNING OF DELIVERY CADENCE, DEVELOPMENT APPROACH, \nAND LIFE CYCLE\nThe community center examples described in Section 2.3.3 will be revisited to demonstrate \nhow the delivery cadence, development approach, and life cycle fit together. In this example, there \nare four products and services: the building, the community action patrol (CAP) training, the senior services, and the website. Table 2-4 describes the delivery cadence and the development approach.\nBased on this information, a potential life cycle might be:\n▶Start Up. Entry criteria for this phase are that the business case has been approved andthe project charter has been authorized. In this phase, the high-level roadmap is developed,initial funding requirements are established, project team and resource requirements aredefined, a milestone schedule is created, and planning for a procurement strategy is defined.These deliverables should be complete prior to exiting the start-up phase. Exit criteria will bereviewed at an origination phase gate review.\n▶Plan. In this phase, the high-level information for the building is decomposed into detailedplans. A detailed design document for the CAP training is completed. An analysis of thesenior services offering is completed along with a gap analysis. The initial wireframe forthe website is created. These deliverables should be complete prior to exiting the planningphase. Exit criteria will be reviewed at a planning phase gate review.Table 2-4. Delivery Cadence and Development Approach\nDeliverable Development Approach Deliver y Cadence\nBuilding Single delive ry Predictive\nSenior services Multiple deliveries Iterative\nWebsite Periodic deliveries Adaptive\nCommunity action patrol training Multiple deliveries Incremental\nPMI Seventh Edition July 202147\nSection 2 – Project Performance Domains▶Development. This phase will overlap with the test and deploy phases since the\ndeliverables have different delivery cadences and different approaches. The website will\nhave early deliveries to inform the public of the progress for the community center. Somesenior services", + "chunk_order_index": 41, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b27e2d8e58767f91bdf969368902884b": { + "tokens": 1200, + "content": "Cadence\nBuilding Single delive ry Predictive\nSenior services Multiple deliveries Iterative\nWebsite Periodic deliveries Adaptive\nCommunity action patrol training Multiple deliveries Incremental\nPMI Seventh Edition July 202147\nSection 2 – Project Performance Domains▶Development. This phase will overlap with the test and deploy phases since the\ndeliverables have different delivery cadences and different approaches. The website will\nhave early deliveries to inform the public of the progress for the community center. Somesenior services and the CAP training may begin prior to the opening of the communitycenter. Each deliverable may have a separate review prior to entering the testing phase.\n▶Test. This phase will overlap with the development and deploy phases. The type of testwill depend on the deliverable. This phase includes inspections for the building, a betadelivery of the CAP courses, small-scale trials for the senior services, and operating in atest environment for each release for the website. Each deliverable will go through theapplicable testing prior to moving to the deploy phase.\n▶Deploy. This phase will overlap with the development and test phases. The first deploymentof the website may be somewhat early in the project. Activities in this phase will iterate asmore deliverables become available. The final deployment for the project will be the openingof the community center. Ongoing updates to the website and the senior services will bepart of operations once the community center is open.\n▶Close. This phase takes place periodically as deliverables are completed. When the initial\nwebsite has been deployed, project personnel (including contractors) will be released andretrospectives or lessons learned for each deliverable will be completed. When the entireproject is done, information from the various phase gate reviews and an overall evaluationof project performance compared to baselines will be conducted. Prior to final closeout,the project charter and the business case will be reviewed to determine if the deliverablesachieved the intended benefits and value.\nPMI Seventh Edition July 202148\nPMBOK® GuideFigure 2-12 shows a possible life cycle for the community center project. The start-up and \nplanning phases are sequential. The development, test, and deploy phases overlap because \nthe different deliverables will be developed, tested, and deployed at different times, and some deliverables will have multiple deliveries. The development phase is shown in more detail to demonstrate different timing and delivery cadence. The test phase cadence would follow the development phase cadence. The deliveries are shown in the deploy phase.\nCommunity Center Life Cycle\nStart Up\nPlan\nDevelopment\nDeployTest\nWebsite Development and Deliveries\nCommunity Center ConstructionSenior Service IterationsOrigination\nReview\nPlanning\nReview\nWebsite\nRelease 1Senior\nOfferingsCommunity Action\nPatrol Training LaunchCommunity\nCenter Open\nClose\nKEY:\n Milestone\n Deliv eriesSenior Service\nRelease 1Senior Service\nRelease 2Senior Service\nRelease 3Senior Service\nRelease 4\nCommunity Action Pa trol Tr aining Increments\nModule 1:\nBasic TrainingModule 2:\nLogistics Tr ainingModule 3:\nPatrol TrainingIntegration\nFigure 2-12. Community Center Life Cycle\nPMI Seventh Edition July 202149\nSection 2 – Project Performance Domains2.3.7 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Development Approach and Life Cycle Performance Domain interacts with the \nStakeholder, Planning, Uncertainty, Delivery, Project Work, and Team Performance Domains. The \nlife cycle selected impacts the way in which planning is undertaken. Predictive life cycles undertake the bulk of the planning up front and then continue to replan by using rolling wave planning and progressive elaboration. Plans are also updated as threats and opportunities materialize.\nThe development approach and delivery cadence is one way to reduce uncertainty on projects. \nA deliverable that has a lot of risk associated with meeting regulatory requirements may choose a predictive approach to build in extra testing, documentation, and robust processes and procedures. A deliverable that has a lot of risk associated with stakeholder acceptance may choose an iterative approach and release a minimum viable product to the market to get feedback before developing additional features and functions.\nWhat’s in a Name? Not all project practitioners differentiate between the development \napproach and the life cycle. Some practitioners will say a project follows an agile life cycle when they are actually talking about the development approach. Some practitioners refer to predictive approaches as waterfall. Adaptive development approaches may also be known as evolutionary approaches.\nBecause project management is evolving, the language used continues to evolve. The best \nway to understand what a person is referring to is to determine how they are developing deliverables and ask them the names of the phases in the life cycle. This can help frame the project and understand how people are using terms. \nPMI Seventh Edition July 202150\nPMBOK® GuideThe Development Approach and Life Cycle Performance Domain has significant overlap with \nthe Delivery Performance Domain when considering delivery cadence and development approach. \nThe delivery cadence is one of the main drivers of delivering value in alignment with the business case and the benefits realization plans. Eliciting the product requirements and meeting the quality requirements as described in the Delivery Performance Domain have a significant influence on the development approach.\nThe Team Performance Domain and the Development Approach and Life Cycle Performance \nDomain interact when it comes to project team capabilities and project team leadership skills. The project team’s way of working and the project manager’s style vary significantly depending on the development approach. A predictive approach usually entails more emphasis on up-front planning, measurement, and control. On the other end of the spectrum, an adaptive approach, especially when using agile methods, requires more of a servant leadership style and may have self-managing project teams.\n2.3.8 MEASURING OUTCOMES\nTable 2-5 identifies the outcomes on the left and ways of checking them on the right", + "chunk_order_index": 42, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-4749f4bcc3ee1012732c6a955e9ad8e6": { + "tokens": 1200, + "content": "of working and the project manager’s style vary significantly depending on the development approach. A predictive approach usually entails more emphasis on up-front planning, measurement, and control. On the other end of the spectrum, an adaptive approach, especially when using agile methods, requires more of a servant leadership style and may have self-managing project teams.\n2.3.8 MEASURING OUTCOMES\nTable 2-5 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-5. Checking Outcomes—Development Approach and Life Cycle Performance Domain\nOutcome Check\nDevelopment approaches that are \nconsistent with project deliverables\nA project life cycle consisting of \nphases that connect the delivery of business and stakeholder value from the beginning to the end of the project\nProject life cycle phases that \nfacilitate the delivery cadence and development approach required to produce the project deliverablesThe development approach for deliverables (predictive, hybrid, or adaptive) \nreflects the product variables and is appropriate given the project and organizational variables.\nProject work from launch to close is represented in the project phases. \nPhases include appropriate exit criteria.\nThe cadence for development, testing , and deploying is represented in the life \ncycle phases. Projects with multiple deliverables that ha ve different delivery \ncadences and development methods are represented by overlapping phases \nor phase repetitions, as necessar y.\nPMI Seventh Edition July 202151\nSection 2 – Project Performance Domains2.4 PLANNING PERFORMANCE DOMAIN\nPlanning organizes, elaborates, and coordinates project work throughout the project.\nPLANNING PERFORMANCE DOMAIN\nThe project progresses in an orga nized, coordinated, and \ndeliberate manner .\nThere is a holistic approach to delivering the project \noutcomes.\nEvolving inform ation is elaborated to produce the \ndeliverables and outcomes for wh ich the project was \nundertaken.Time spent planning is appropriate for the situation.\nPlanning inform ation is sufficient to manage stakeholder \nexpectations.There is a process for the adaptation of plans throughout \nthe project based on emerging and changing needs or \nconditions.The Planning P erformance \nDomain addresses \nactivities and functions associated with the initial, \nongoing , and evolving \norganization and coordination necessar y \nfor delivering project deliverables and outcomes.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-13. Planning Performance Domain\nPMI Seventh Edition July 202152\nPMBOK® Guide2.4.1 PLANNING OVERVIEW\nThe purpose of planning is to proactively develop an approach to create the project \ndeliverables. The project deliverables drive the outcomes the project was undertaken to achieve. \nHigh-level planning may begin prior to project authorization. The project team progressively elaborates initial project documents, such as a vision statement, project charter, business case, \nor similar documents to identify or define a coordinated path to achieve the desired outcomes.\nThe following definitions are relevant to the Planning Performance Domain:\nEstimate. A quantitative assessment of the likely amount or outcome of a variable, such as project costs, resources, effort, or durations.\nAccuracy. Within the quality management system, accuracy is an assessment of correctness.\nPrecision. Within the quality management system, precision is an assessment of exactness.\nCrashing. A method used to shorten the schedule duration for the least incremental cost \nby adding resources.Fast Tracking. A schedule compression method in which activities or phases normally done \nin sequence are performed in parallel for at least a portion of their duration.Budget.\n The approved estimate for the project or any work breakdown structure (WBS) \ncomponent or any schedule activity. \nPMI Seventh Edition July 202153\nSection 2 – Project Performance DomainsThe amount of time spent planning, both up front and throughout the project, should be \ndetermined by the circumstances. It is inefficient to spend more time planning than is needed. \nTherefore, the information gained from planning should be sufficient to move forward in an appropriate manner but not more detailed than necessary. Project teams use planning artifacts to confirm stakeholder expectations and provide stakeholders with the information they need to make decisions, take action, and maintain alignment between the project and stakeholders.\n2.4.2 PLANNING VARIABLES\nBecause each project is unique, the amount, timing, and frequency of planning varies. Variables \nthat influence how project planning is conducted include, but are not limited to:\n▶Development approach. The development approach can influence how, how much, and\nwhen planning is conducted. Examples include:\n▹A specific phase for planning or organizing early in the life cycle. In these situations, much\nof the planning is performed up front. The initial plans are progressively elaborated withmore detail throughout the project, but there is little change to the original scope.\n▹An approach with high-level planning up front, followed by a design phase where\nprototyping is used. After the project team and stakeholders agree to the design,\nthe project team completes more detailed planning.\n▹Adaptive approaches where the project team conducts iterations. Some planning\noccurs up front to establish release plans and further planning occurs at thebeginning of each iteration.\nIt is becoming more common for initial planning to consider social and environmental impacts \nin addition to the financial impacts (sometimes referred to as the triple bottom line). This may take the form of a product life cycle assessment which evaluates the potential environmental impacts of a product, process, or system. The product life cycle assessment informs the design of products and processes. It considers the impacts of materials and processes with regards to sustainability, toxicity, and the environment. \nPMI Seventh Edition July 202154\nPMBOK® Guide▶Project deliverables. Often the project deliverables necessitate planning in a specific way.\nConstruction projects require significant up-front planning to account for design, approvals,\nmaterials", + "chunk_order_index": 43, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-137068cba338c0f8f012e24211097459": { + "tokens": 1200, + "content": "product life cycle assessment which evaluates the potential environmental impacts of a product, process, or system. The product life cycle assessment informs the design of products and processes. It considers the impacts of materials and processes with regards to sustainability, toxicity, and the environment. \nPMI Seventh Edition July 202154\nPMBOK® Guide▶Project deliverables. Often the project deliverables necessitate planning in a specific way.\nConstruction projects require significant up-front planning to account for design, approvals,\nmaterials purchasing, logistics, and delivery. Product development or high-technologyprojects may use continuous and adaptive planning to allow for evolution and changesbased on stakeholder feedback and technological advances.\n▶Organizational requirements. Organizational governance, policies, procedures, processes,\nand culture may require project managers to produce specific planning artifacts.\n▶Market conditions. Product development projects can take place in a highly competitive\nenvironment. In these situations, project teams can undertake a minimum amount ofup-front planning as the emphasis is on speed to market. The cost of delay that extensiveplanning entails exceeds the risk of potential rework.\n▶Legal or regulatory restrictions. Regulatory agencies or statutes may require specific\nplanning documents before granting an authorization to proceed or to secure approval torelease the project deliverable into the market.\n2.4.2.1 Delivery\nPlanning begins with understanding the business case, stakeholder requirements, and the \nproject and product scope. Product scope is the features and functions that characterize a product, \nservice, or result. Project scope is the work performed to deliver a product, service, or result with the \nspecified features and functions.\nPredictive planning approaches start with the high-level project deliverables up front and \ndecompose them into more detail. This approach can employ a scope statement and/or a work \nbreakdown structure (WBS) to decompose the scope into lower levels of detail.\nProjects that use iterative or incremental approaches can have high-level themes or epics \nthat are decomposed into features, which are then further decomposed into user stories and \nother backlog items. Work that is unique, significant, risky, or novel can be prioritized to reduce the \nuncertainty associated with project scope at the start of the project before signi ficant investment has \ntaken place. Project teams plan routine work based on the concept of last responsible moment. This \napproach defers a decision to allow the project team to consider multiple options until the cost of \nfurther delay would exceed the benefit. It reduces waste by not expending time in developing plans \nfor work that may change or may not be needed.\nPMI Seventh Edition July 202155\nSection 2 – Project Performance Domains2.4.2.2 Estimating\nPlanning entails developing estimates for work effort, duration, costs, people, and physical \nresources. Estimates are a quantitative assessment of the likely amount or outcome of a variable, \nsuch as project costs, resources, effort, or duration. As the project evolves, the estimates can change based on current information and circumstances. The project’s phase in the life cycle impacts four aspects associated with estimating:\n▶Range. Estimates tend to have a broad range at the start of the project when there is notmuch information about the project and product scope, stakeholders, requirements, risks,and other information. Figure 2-14 shows a range of -25 to +75% at the start of exploring\na project opportunity. Projects that are well along in their life cycle may have an estimatingrange of -5 to +10%.\n▶Accuracy. Accuracy refers to the correctness of an estimate. Accuracy is linked to range\nin that the lower the accuracy, the larger the potential range of values. An estimate\nat the start of the project will have less accuracy than one that is developed halfwaythrough the project.\n▶Precision. Precision is different from accuracy (see Figure 2-15). Precision refers to the\ndegree of exactness associated with the estimate. For example, an estimate of 2 days ismore precise than “sometime this week.” The precision of estimates should be compatiblewith the desired accuracy.\n▶Confidence. Confidence increases with experience. Experience working on a previous,similar project can help with the level of confidence required. For new and evolvingtechnology components, the confidence in estimates is expected to be low.\nPMI Seventh Edition July 202156\nPMBOK® GuideTimeRange75%\n50%25%\n0%\n-25%\nFigure 2-14. Estimate Range Decreases over Time\n6\n789\n9\n8\n7\n610\n6 789 10 9 10 87 6\n10\nFigure 2-15. Low Accuracy, High Precision\nPMI Seventh Edition July 202157\nSection 2 – Project Performance DomainsThere are different ways of presenting and/or adjusting estimates:\n▶Deterministic and probabilistic estimating. Deterministic estimates, also known as\npoint estimates, present a single number or amount, such as 36 months.\nProbabilistic estimates include a range of estimates along with the associated probabilities\nwithin the range. They can be developed manually by (a) developing a weighted averagebased on multiple likely outcomes, or (b) running a simulation to develop a probabilityanalysis of a particular outcome, usually in terms of cost or schedule.\n▶Absolute and relative estimating. Absolute estimates are specific information and use\nactual numbers. An absolute estimate for effort might be shown as 120 hours of work. Oneperson working full time could accomplish the work in 15 workdays, assuming 8 hours ofproductivity per workday.\nWhile absolute estimates are specific, relative estimates are shown in comparison to other\nestimates. Relative estimates only have meaning within a given context.\nA probabilistic estimate derived from a computer simulation has three associated factors:\n1.A point estimate with a range such as 36 months +3 months", + "chunk_order_index": 44, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-1e4e7240611a4206b9dbb79d7ffa7c81": { + "tokens": 1200, + "content": "numbers. An absolute estimate for effort might be shown as 120 hours of work. Oneperson working full time could accomplish the work in 15 workdays, assuming 8 hours ofproductivity per workday.\nWhile absolute estimates are specific, relative estimates are shown in comparison to other\nestimates. Relative estimates only have meaning within a given context.\nA probabilistic estimate derived from a computer simulation has three associated factors:\n1.A point estimate with a range such as 36 months +3 months/-1 month.\n2.A statement of confidence such as a 95% confidence level.\n3.A probability distribution describing the dispersion of the data within and around the given range.\nTogether these three items form a complete metric describing a probabilistic estimate. \nPMI Seventh Edition July 202158\nPMBOK® Guide▶Flow-based estimating. Flow-based estimates are developed by determining the cycle\ntime and throughput. Cycle time is the total elapsed time it takes one unit to get through a\nprocess. Throughput is the number of items that can complete a process in a given amountof time. These two numbers can provide an estimate to complete a specified quantity of work.\n▶Adjusting estimates for uncertainty. Estimates are inherently uncertain. Uncertainty\nby definition is associated with risk. Key deliverable dates or budget estimates may\nbe adjusted, or contingency time or funds may be added, based on the outcomes\nof a simulation conducted to establish the range of uncertainty for these parameters.\n2.4.2.3 Schedules\nA schedule is a model for executing the project’s activities, including durations, dependencies, \nand other planning information. Schedule planning can use predictive or adaptive approaches.\nPredictive approaches follow a stepwise process as follows:\n▶Step 1. Decompose the project scope into specific activities.\n▶Step 2. Sequence related activities.\n▶Step 3. Estimate the effort, duration, people, and physical resources required to completethe activities.\n▶Step 4. Allocate people and resources to the activities based on availability.\n▶Step 5. Adjust the sequence, estimates, and resources until an agreed-upon schedule\nis achieved.\nOne form of relative estimating is planning poker. In planning poker, the project team performing \nthe work comes to a consensus on the effort that is necessary to deliver value. Using story \npoints to estimate work could result in 64 story points being assigned for that work. New work \nis estimated using the amount of estimated work compared to points assigned to previous work. Therefore, new work effort is compared to previously known work effort. \nPMI Seventh Edition July 202159\nSection 2 – Project Performance DomainsIf the schedule model does not meet the initial desired end date, schedule compression \nmethods are applied. Crashing is a schedule compression method that seeks to shorten the duration \nfor the least incremental cost. Crashing can include adding people to activities, working overtime, or paying to expedite deliveries.\nFast tracking is a schedule compression method in which activities or tasks that are normally \ndone in sequence are performed in parallel, at least for a portion of their duration. Fast tracking often entails applying leads and lags along a network path. A lead is where the work of a successor \nactivity is accelerated, such as starting a successor activity before the predecessor has finished. In Figure 2-16, there is a lead between the finish of Task 2 and the start of Task 4.\nA lag is a delay of a successor activity. An example of using a lag would be changing the type \nof relationship between activities, and then applying a lag. For example, rather than waiting for an activity to finish before the next one starts (a finish-to-start relationship), change the relationship to have the end of the successor activity finish a determined amount of time after the end of the predecessor (a finish-to-finish relationship). The network logic would show a lag between the finish of the predecessor and the finish of the successor activities. There is an example of a finish-to-finish relationship with a lag in Figure 2-16 between Task 8 and Task 7. A lag can also be applied between the start of one activity and the start of another activity (a start-to-start relationship).\nPMI Seventh Edition July 202160\nPMBOK® GuideWhen compressing the schedule, it is important to determine the nature of the dependencies \nbetween activities. Some activities cannot be fast tracked due to the nature of the work—others can. \nThe four types of dependencies are:\n▶Mandatory dependency. A relationship that is contractually required or inherent in thenature of the work. This type of dependency usually cannot be modified.\n▶Discretionary dependency. A relationship that is based on best practices or project\npreferences. This type of dependency may be modifiable.\n▶External dependency. A relationship between project activities and non-project activities.\nThis type of dependency usually cannot be modified.\n▶Internal dependency. A relationship between one or more project activities. This type\nof dependency may be modifiable.Activity 1\nActivity 2Activity 3Activity 4Activity 5Activity 6Activity 7Activity 8\nEndMy Project\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\nFS–1\nFF+1\nFigure 2-16. Fast Tracking Examples\nPMI Seventh Edition July 202161\nSection 2 – Project Performance DomainsAdaptive schedule planning uses incremental planning. One such scheduling approach is \nbased on iterations and releases (see Figure 2-17). A high-level release plan is developed that \nindicates the basic features and functionality", + "chunk_order_index": 45, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-09171466a88a728490c48ac838785d6c": { + "tokens": 1200, + "content": "17 18 19 20 21 22 23 24\nFS–1\nFF+1\nFigure 2-16. Fast Tracking Examples\nPMI Seventh Edition July 202161\nSection 2 – Project Performance DomainsAdaptive schedule planning uses incremental planning. One such scheduling approach is \nbased on iterations and releases (see Figure 2-17). A high-level release plan is developed that \nindicates the basic features and functionality to be included in each release. Within each release, there will be two or more iterations. Each iteration adds business and/or stakeholder value. Value may include features, risk reduction, experimentation, or other ways of delivering or protecting value. The planning for the work in future releases is kept at a high level so the project team does not engage in planning that could change based on feedback from earlier releases.\nRelease 3 Release 2 Release 1\nRelease Plan\nIteration PlanIteration 0 Iteration 1 Iteration 2 Iteration 3 Iteration n\nFeature D\n(User Story 5)Feature C\n(User Story 4)Feature B\n(User Story 3)Feature A\n(User Story 2)Feature A\n(User Story 1)\n5 Hours\n8 Hours4 Hours\n12 HoursTask A\nTask B\nTask C\nTask DProduct vision drives\nproduct roadmap\nProduct roadmap\ndrives release plans\nRelease plan\nestablishes the iterations\nIteration plans\nschedule featuredevelopment\nTasks (estimated in\nhours) created todeliver user storiesPrioritized features\ndelivered by user\nstories (estimatedin story points)\nFigure 2-17. Release and Iteration Plan\nPMI Seventh Edition July 202162\nPMBOK® GuideAdaptive approaches often use timeboxes. The work in each timebox is based on a prioritized \nbacklog. The project team determines the amount of work they can do in each timebox, estimates \nthe work, and self-manages to accomplish the work. At the end of the timebox, the project team \ndemonstrates the work completed. At that point, the backlog and estimates of work available to be \ndone may be updated or reprioritized for the next timebox.\nDetermining the schedule involves using the information in the estimating section to determine \noverall duration and effort estimates. Regardless of the scheduling approach used, the relationship \nbetween effort and duration needs to be addressed. Some activities are effort driven, which means \nthat the duration can be reduced by adding people. This approach can work up to a point, after \nwhich adding people might actually extend duration. Framing a building is e ffort driven. If more \npeople are added, the duration can be reduced. Some activities are fixed duration, such as running \na test or conducting employee training.\nThe nature of the work determines if and how much the duration c an be reduced by adding \npeople before increasing the time due to coordination, communicatio n, conflict, and potential rework. \nThere is no fixed formula to determine the reduction in duration due to the addition of people.\n2.4.2.4 Budget\nThe project budget evolves from the agreed estimates for the project. The information in \nSection 2.4.2.2 on Estimating is applied to project costs to develop cost estimates. Cost estimates \nare then aggregated to develop the cost baseline. The cost baseline is often allocated across the \nproject schedule to reflect when the costs will be incurred. This practice allows project managers to \nbalance the funds approved in a specific budget period with the scheduled work. If there are funding \nlimitations for a budget period, the work may need to be rescheduled to meet those limitations.\nThe project budget should include contingency reserve funds to allow for uncertainty. \nContingency reserves are set aside to implement a risk response or to respond to risk events \nshould they occur.\nManagement reserves are set aside for unexpected activities relate d to in-scope work. Depending \non the organization’s policies and organizational structure, manage ment reserves may be managed \nby the project, t he sponsor, product owner, or the PMO at the program and portfolio level. Figure 2-18 \nshows the budge t build up.\nPMI Seventh Edition July 202163\nSection 2 – Project Performance Domains2.4.3 PROJECT TEAM COMPOSITION AND STRUCTURE\nPlanning for project team2 composition begins with identifying the skill sets required to accomplish \nthe project work. This entails evaluating not only the skills, but also the level of proficiency and years \nof experience in similar projects.\nThere are different cost structures associated with using internal project team members versus \nsecuring them from outside the organization. The benefit that outside skills bring to the project are \nweighed against the costs that will be incurred.\n2 This topic is about planning for the project team. Topics associated with project team leadership are addressed \nin the Team Performance Domain.Management\nReserv e\nContingency\nReserve\nCost\nBaselineProject\nBudge tWork Cost\nEstimates\nProject Budget Component\nTotal Amount\nFigure 2-18. Budget Build Up\nPMI Seventh Edition July 202164\nPMBOK® GuideWhen planning for the project team, the project manager considers the ability and necessity for \nthe project team to work in the same location. Small project teams that can work in the same room \nare able to take advantage of osmotic communication and can solve problems as they arise. Some project teams are physically dispersed. Project team members may be in different cities, time zones, or countries. On projects where project team members work virtually, more time is spent connecting people through technology.\n2.4.4 COMMUNICATION\nCommunication planning overlaps with stakeholder identification, analysis, prioritization, and \nengagement as described in the Stakeholder Performance Domain (", + "chunk_order_index": 46, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-e117b77e1bf7dcc1bf3e23bb9626adb2": { + "tokens": 1200, + "content": "teams that can work in the same room \nare able to take advantage of osmotic communication and can solve problems as they arise. Some project teams are physically dispersed. Project team members may be in different cities, time zones, or countries. On projects where project team members work virtually, more time is spent connecting people through technology.\n2.4.4 COMMUNICATION\nCommunication planning overlaps with stakeholder identification, analysis, prioritization, and \nengagement as described in the Stakeholder Performance Domain (Section 2.1). Communication is the most important factor in engaging with stakeholders effectively. Planning communication for the project entails considering the following:\n▶Who needs information?\n▶What information does each stakeholder need?\n▶Why should information be shared with stakeholders?\n▶What is the best way to provide information?\n▶When and how often is information needed?\n▶Who has the information needed?\nThere may be different categories of information, such as internal and external, sensitive \nand public, or general and detailed. Analyzing the stakeholders, information needs, and categories of information provides the foundation for establishing the communications processes and plans for the project.\nPMI Seventh Edition July 202165\nSection 2 – Project Performance Domains2.4.5 PHYSICAL RESOURCES\nPhysical resources apply to any resource that is not a person. It can include materials, \nequipment, software, testing environments, licenses, and so forth. Planning for physical resources \nentails estimating, as described in Section 2.4.2.2, as well as supply chain, logistics, and management. Projects with significant physical resources, such as engineering and construction projects, will need to plan for procurement activities to acquire the resources. This may be as simple as utilizing a basic ordering agreement or as complicated as managing, coordinating, and integrating several large procurement activities.\nPlanning for physical resources includes taking into account lead time for delivery, movement, \nstorage, and disposition of materials, as well as a means to track material inventory from arrival on site to delivery of an integrated product. Project teams whose projects require significant physical materials think and plan strategically about the timing from order, to delivery, to usage. This can include evaluation of bulk ordering versus cost of storage, global logistics, sustainability, and integrating management of physical assets with the rest of the project.\n2.4.6 PROCUREMENT\nProcurements can happen at any time during a project. However, up-front planning helps \nto set expectations that ensure the procurement process is performed smoothly. Once the high-level scope is known, project teams conduct a make-or-buy analysis. This includes identifying those deliverables and services that will be developed in-house, and those that will be purchased from external sources. This information impacts the project team and the schedule. Contracting professionals need advance information on the type of goods needed, when they will be needed, and any technical specifications required for the procured goods or services.\nPMI Seventh Edition July 202166\nPMBOK® Guide2.4.7 CHANGES\nThere will be changes througho ut the project. Some changes are a result of a risk event \noccurring or a project environment change, some are based on developing a deeper understanding \nof requirements, and others are due to customer requests or other reaso ns. Therefore, project teams \nshould prepare a process for adapting plans throughout the project. This may take the form of a \nchange control process, repriorit izing the backlog, or rebaselining the project. Projects that have a \ncontractual element may need to fo llow a defined process for contract changes.\n2.4.8 METRICS\nThere is a natural linkage between planning, delivering, and measuring work. That linkage is \nmetrics. Establishing metrics includes setting the thresholds t hat indicate whether work perfo rmance \nis as expected, trending positively or negatively away from expected performance, or unacceptable. \nDeciding what to measure and how often is best info rmed by the phrase “only measure what mat ters.”\nMetrics associated with the product are specific to the deliverables being developed. Metrics \nassociated with schedule and budget performance are often driven by organizational standards \nand are related to a baseline or an approved version of the schedule or budget against which actual \nresults are compared.\nAs part of planning, the metrics, baselines, and thresholds for performance are established, as \nwell as any test and evaluation processes and procedures that will be used to measure performance \nto the specification of the project deliverable. The metrics, baselines, and tests are used as the basis \nto evaluate variance of actual performance as part of the Measurement Performance Domain.\nPMI Seventh Edition July 202167\nSection 2 – Project Performance Domains2.4.9 ALIGNMENT\nPlanning activities and artifacts need to remain integrated throughout the project. This means \nthat planning for the performance in terms of scope and quality requirements aligns with delivery \ncommitments, allocated funds, type and availability of resources, the uncertainty inherent in the project, and stakeholder needs. Project teams can require additional planning artifacts depending on the type of project. For example, logistics plans will need to integrate with material and delivery needs, testing plans will need to align with quality and delivery needs, and so forth.\nWork on one project often occurs in parallel with other projects in a program or a release. \nThe timing of the work of a single project should align with the needs of the work on related projects and the operations work of the organization.\nLarge projects may combine the planning artifacts into an integrated project management \nplan. For smaller projects, a detailed project management plan will be inefficient. Regardless of the timing, frequency, and degree of planning, the various aspects of the project need to remain aligned and integrated.\n2.4.10 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nPlanning occurs throughout the project and integrates with each performance domain. At the \nstart", + "chunk_order_index": 47, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-e3806018cbc410a756031760e6e43275": { + "tokens": 1200, + "content": "needs of the work on related projects and the operations work of the organization.\nLarge projects may combine the planning artifacts into an integrated project management \nplan. For smaller projects, a detailed project management plan will be inefficient. Regardless of the timing, frequency, and degree of planning, the various aspects of the project need to remain aligned and integrated.\n2.4.10 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nPlanning occurs throughout the project and integrates with each performance domain. At the \nstart of the project, the expected outcomes are identified and high-level plans to achieve them are developed. Depending on the selected development approach and life cycle, intensive planning may be conducted up front, and then plans may be adjusted to reflect the actual environment. Other life cycles encourage just enough planning at various points throughout the project with the expectation that plans will evolve.\nThroughout the project, planning guides the project work, delivery of outcomes, and business \nvalue. Project teams and stakeholders establish measures of progress and success, and performance is compared to plans. Uncertainty and planning interact as project teams plan for how to address uncertainty and risks. Plans may need to be revised or new plans developed to account for events or conditions that emerge. The project team members, environment, and project details influence plans for working effectively with the project team and engaging proactively with stakeholders.\nPMI Seventh Edition July 202168\nPMBOK® Guide2.4.11 CHECKING RESULTS\nTable 2-6 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-6. Checking Outcomes—Planning Performance Domain\nOutcome Check\nThe project progresses in an \norganized, coordinated, and deliberate manner.\nThere is a holistic approach to \ndelivering the project outcomes.\nEvolving information is elaborated \nto produce the deliverables and outcomes for which the project was undertaken.\nTime spent planning is appropriate \nfor the situation.\nPlanning information is sufficient to \nmanage stakeholder expectations.\nThere is a process for the \nadaptation of plans throughout the project, based on emerging and changing needs or conditions.A performance review of project results against the project baselines and other measurement metrics demonstrates that the project is progressing as planned. Performance va riances are within thresholds.\nThe delivery schedule, funding , resource av ailability , procurements, etc., \ndemonstrate that the project is planned in a holistic manner with no gaps or areas of misalignment.\nInitial information about deliverables and requirements compared to current \ninformation demonstrates appropriate elaboration. Current information \ncompared to the business case indicates the project will produce the \ndeliverables and outcomes it was undertaken to deliver.\nProject plans and documents demonstrate that the level of planning is \nappropriate for the project.\nThe communications management plan and stakeholder information indicate \nthat the communications are sufficient to manage stakeholder expectations.\nProjects using a backlog show the adaptation of plans throughout the project. \nProjects using a change control process ha ve change logs and documentation \nfrom change control board meetings that demonstrate the change control process is being applied.\nPMI Seventh Edition July 202169\nSection 2 – Project Performance Domains2.5 PROJECT WORK PERFORMANCE DOMAIN\nProject work is associated with establishing the processes and performing the work to enable \nthe project team to deliver the expected deliverables and outcomes.PROJECT WORK PERFORMANCE DOMAIN\nEfficient and effective project perfor mance.\nProject processes are appropriate for the project and the \nenvironment.\nAppropriate communication with stak eholders.\nEfficient management of physical resources.Effectiv e manage ment of procurements.\nImproved team capability due to continuous learning and \nprocess improve ment.The Project Wo rk \nPerformance Domain \naddresses activities and \nfunctions associated with establishing project processes, managing \nphysical resources, and fostering a lear ning \nenvironment.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-19. Project Work Performance Domain\nPMI Seventh Edition July 202170\nPMBOK® Guide\nThe following definitions are relevant to the Project Work Performance Domain:\nBid Documents. All documents used to solicit information, quotations, or proposals from \nprospective sellers.\nBidder Conference. The meetings with prospective sellers prior to the preparation of a bid \nor proposal to ensure all prospective vendors have a clear and common understanding of the procurement. Also known as contractor conferences, vendor conferences, or pre-bid conferences.\nExplicit Knowledge. Knowledge that can be codified using symbols such as words, numbers, \nand pictures.Tacit Knowledge. Personal knowledge that can be difficult to articulate and share such as \nbeliefs, experience, and insights. \nProject work keeps the project team focused and project activities running smoothly. This \nincludes but is not limited to:\n▶Managing the flow of existing work, new work, and changes to work;\n▶Keeping the project team focused;\n▶Establishing efficient project systems and processes;\n▶Communicating with stakeholders;\n▶Managing material, equipment, supplies, and logistics;\n▶Working with contracting professionals and vendors to plan and manage procurements\nand contracts;\n▶Monitoring changes that can affect the project; and\n▶Enabling project learning and knowledge transfer.\nPMI Seventh Edition July 202171\nSection 2 – Project Performance Domains2.5.1 PROJECT PROCESSES\nThe project manager and the project team establish and periodically review the processes \nthe project team is using to conduct the work. This can take the form of reviewing task boards to \ndetermine if there are bottlenecks in the process, if work is flowing at the expected rate, and if there are any impediments that are blocking progress.\nProcess tailoring can be used to optimize the process for the needs of the project. In general, \nlarge projects have more process compared to small projects, and critical projects have more process than less significant projects. Tailoring takes into consideration the demands of the environment. Ways of optimizing the processes for the environment include:\n▶Lean production methods.", + "chunk_order_index": 48, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8ebf1268953234bb237421a02a4f65ac": { + "tokens": 1200, + "content": "determine if there are bottlenecks in the process, if work is flowing at the expected rate, and if there are any impediments that are blocking progress.\nProcess tailoring can be used to optimize the process for the needs of the project. In general, \nlarge projects have more process compared to small projects, and critical projects have more process than less significant projects. Tailoring takes into consideration the demands of the environment. Ways of optimizing the processes for the environment include:\n▶Lean production methods. Lean production uses techniques such as value stream\nmapping to measure the ratio of value-adding activities and non-value-adding activities.The metrics calculated form a basis and measurement system for identifying and removingwaste from production systems.\n▶Retrospectives or lessons learned. These meetings provide an opportunity for the\nproject team to review the way in which it works and to suggest changes to improveprocess and efficiency.\n▶Where is the next best funding spent? Asking this question can help project teamsdetermine if they should continue with the current task or move onto the next activity tooptimize value delivery.\nReviewing processes can entail determining if processes are efficient, or if there is waste in \nthe process that can be eliminated. Time spent tracking conformance to process is time the project team cannot spend on delivering the outcomes for which the project was commissioned. Therefore, project teams utilize just enough time reviewing process conformance to maximize the benefits delivered from the review while still satisfying the governance needs of process.\nPMI Seventh Edition July 202172\nPMBOK® GuideIn addition to being efficient, processes should be effective. This means they need to comply \nwith quality requirements, regulations, standards, and organizational policies in addition to \nproducing the desired outcome. Process evaluation can include process audits and quality assurance activities to ensure processes are being followed and are accomplishing the intended outcomes.\n2.5.2 BALANCING COMPETING CONSTRAINTS\nSuccessfully leading a project includes understanding the constraints associated with the work. \nConstraints can take the form of fixed delivery dates, compliance to regulatory codes, a predetermined budget, quality policies, considerations of the triple bottom line, and so forth. The constraints may shift and change throughout the project. A new stakeholder requirement may entail expanding the schedule and budget. A reduction in budget may entail relaxing a quality requirement or reducing scope.\nBalancing these shifting constraints, while maintaining stakeholder satisfaction, is an ongoing \nproject activity. At times, it may include meeting with the customer, sponsor, or product owner to present alternatives and implications. Other times, the decisions and potential variances may be within the project team’s authority to make trade-offs to deliver the end result. Either way, this balancing activity is ongoing throughout the project.\nExample of non-value-added work. A PMO wants to track the type of work project team \nmembers are doing. They ask the project team to record the type of work they are doing in specific categories on their time sheets. The time taken to categorize and record their time can be viewed as non-value-added work. \nPMI Seventh Edition July 202173\nSection 2 – Project Performance Domains2.5.3 MAINTAINING PROJECT TEAM FOCUS\nProject managers have a responsibility for assessing and balancing the project team focus and \nattention. This involves evaluating short- and long-term projections of progress toward delivery goals.\nLeading the project team includes balancing the workload and assessing if project team members \nare satisfied with their work so they remain motivated. To maximize business and stakeholder value \ndelivered throughout the project, project team attention needs to be kept in a healthy balance. Leading with a goal of maximizing overall delivered value involves focusing on production (delivering value) and protecting the project team’s production capability (project team health and satisfaction). The goal is to keep the project team focused on delivering value and maintain awareness of when potential issues, delays, and cost overruns enter the project.\n2.5.4 PROJECT COMMUNICATIONS AND ENGAGEMENT\nMuch of the project work is associated with communication and engagement, especially work \nassociated with maintaining project team member and other stakeholder engagement. As described in the Stakeholder Performance Domain, communication entails formal and informal communication, in addition to verbal and written communication. Information can be collected in meetings, conversations, and by pulling information from electronic repositories. Once collected, it is distributed as indicated in the project management communications plan.\nOn a day-to-day basis, there are ad hoc requests for information, presentations, reports, and \nother forms of communication. An abundance of ad hoc communication requests may indicate that the communication planning was not sufficient to meet stakeholder needs. In this situation, further stakeholder engagement may be necessary to ensure stakeholder information requirements are met.\n2.5.5 MANAGING PHYSICAL RESOURCES\nSome projects require materials and supplies from third parties. Planning, ordering, transporting, \nstoring, tracking, and controlling these physical resources can take a large amount of time and effort.\nPMI Seventh Edition July 202174\nPMBOK® GuideLarge amounts of physical resources require an integrated logistics system. This is usually \ndocumented in company policies that are then implemented in projects. A logistics plan describes \nhow the company policy will be implemented on the project. Supporting documentation includes estimates for the type of material, basis of estimates, expected usage over time, specifications for grade, and the time and location for deliveries.\nThe objectives from a physical resource perspective are to:\n▶Reduce or eliminate the material handling and storage on site,\n▶Eliminate wait times for materials,\n▶Minimize scrap and waste, and\n▶Facilitate a safe work environment.\nAll of this work is integrated with the master project schedule to provide clear expectations and \ncommunications for all parties involved.\n2.5.6 WORKING WITH PROCUREMENTS\nMany projects involve some form of contracting or procurement. Procurement can cover \neverything from material, capital equipment, and supplies", + "chunk_order_index": 49, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-ba05341a88ebf6f8724f5926d84460c1": { + "tokens": 1200, + "content": "are to:\n▶Reduce or eliminate the material handling and storage on site,\n▶Eliminate wait times for materials,\n▶Minimize scrap and waste, and\n▶Facilitate a safe work environment.\nAll of this work is integrated with the master project schedule to provide clear expectations and \ncommunications for all parties involved.\n2.5.6 WORKING WITH PROCUREMENTS\nMany projects involve some form of contracting or procurement. Procurement can cover \neverything from material, capital equipment, and supplies to solutions, labor, and services. In most organizations, project managers do not have contracting authority. Rather, they work with contracting officers or other people with expertise in contracts, laws, and regulations. Organizations usually have rigorous policies and procedures associated with procurements. The policies identify who has authority to enter into a contract, the limits of authority, and the processes and procedures that should be followed.\nPrior to conducting a procurement, the project manager and technically qualified project team \nmembers work with contracting professionals to develop the request for proposals (RFP), statement of work (SOW), terms and conditions, and other necessary documents to go out to bid.\nPMI Seventh Edition July 202175\nSection 2 – Project Performance Domains2.5.6.1 The Bid Process\nThe bid process includes developing and publicizing bid documents, bidder conferences, and \nselecting a bidder.\nBid documents can include:\n▶Request for information. A request for information is used to gather more information\nfrom the market prior to sending out bid documents to a set of selected vendors.\n▶Request for proposal. This bid document is used for complex or complicated scope where\nthe buyer is looking for the vendor to provide a solution.\n▶Request for quote. This bid document is used when price is the main deciding factor, and\nthe proposed solution is readily available.\nThese three types cover the majority of bidding needs. There are other bid documents; \nhowever, they tend to be industry specific.\nOnce the bid documents are distributed, the buyer generally has a bidder conference to \nrespond to bidder questions and provide clarifying information. Then the bidders develop their \nresponses and deliver them to the buyer by the date specified in the bid documents.\nChoosing the best vendor, sometimes known as source selection, is often based on a number \nof criteria, such as experience, references, price, and timely delivery. These variables may be weighted to reflect the relative importance of each. The buyer evaluates vendor bids against the criteria to select an appropriate vendor(s). The buyer and vendor negotiate terms and conditions. Most everything can be negotiated, from cost to delivery and payment dates, to location of work, ownership of intellectual property, and so forth.\n2.5.6.2 Contracting\nEventually, the parties reach agreement and enter into a contract. The type of contracting \nvehicle depends on the size of the purchase, the stability of the scope of work, and the risk tolerances of the organizations.\nPMI Seventh Edition July 202176\nPMBOK® GuideOnce the vendor is selected, the project plans and documents are updated to incorporate \nvendor dates, resources, costs, quality requirements, risks, etc. From that point, the vendor becomes \na project stakeholder. Information in the Stakeholders Performance Domain and Measurement Performance Domain will apply to the vendor(s) throughout the project.\nProcurements can take place at any point during the project. All procurement activities are \nintegrated into the project operations.\n2.5.7 MONITORING NEW WORK AND CHANGES\nIn adaptive projects, there is an expectation that work will evolve and adapt. As a result, new \nwork can be added to the product backlog, as needed. However, if more work is added than is being completed, or if the same amount of work is added that is being completed, the project will continue without end. The project manager works with the product owner to manage expectations around adding scope, the implications to the budget, and the availability of project team members. The product owner prioritizes the project backlog on an ongoing basis so that high-priority items are completed. If the schedule or budget is constrained, the product owner may consider the project done when the highest priority items are delivered.\nFor projects that use an adaptive approach for some deliverables and a predictive approach \nfor others, a master agreement may be used for the overall contract. The adaptive work may be placed in an appendix or supplement. This allows the changes to occur on the adaptive scope without impacting the overall contract. \nPMI Seventh Edition July 202177\nSection 2 – Project Performance DomainsIn predictive projects, the project team actively manages changes to the work to ensure only \napproved changes are included in the scope baseline. Any changes to the scope are then accompanied \nby appropriate changes to the people, resources, schedule, and budget. Scope changes can add to uncertainty; therefore, any change requests should be accompanied by an evaluation of any new risks that are introduced due to the addition to or change in scope. The project manager works with the change control board and the change requestor to guide change requests through the change control process. Approved changes are integrated into the applicable project planning documents, product backlog, and project scope. The changes are also communicated to the appropriate stakeholders.\n2.5.8 LEARNING THROUGHOUT THE PROJECT\nPeriodically, the project team may meet to determine what they can do better in the future \n(lessons learned) and how they can improve and challenge the process in upcoming iterations (retrospectives). Ways of working can evolve to produce better outcomes.\n2.5.8.1 Knowledge Management\nA lot of learning takes place during projects. Some of the learning is project specific, such as \na faster way to accomplish specific work. Some learning can be shared with other project teams to improve outcomes, such as a quality assurance approach that results in fewer defects. Still other", + "chunk_order_index": 50, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-29d5919417e1b3e84bdf25acd6b81886": { + "tokens": 1200, + "content": "future \n(lessons learned) and how they can improve and challenge the process in upcoming iterations (retrospectives). Ways of working can evolve to produce better outcomes.\n2.5.8.1 Knowledge Management\nA lot of learning takes place during projects. Some of the learning is project specific, such as \na faster way to accomplish specific work. Some learning can be shared with other project teams to improve outcomes, such as a quality assurance approach that results in fewer defects. Still other learning can be shared throughout the organization, such as training users how to work with a new software application.\n2.5.8.2 Explicit and Tacit Knowledge\nThroughout the project, project teams develop and share explicit knowledge. Explicit \nknowledge can be readily codified using words, pictures, or numbers. For example, the steps to a new process are explicit knowledge that can be documented. Explicit knowledge can be distributed using information management tools to connect people to information, such as manuals, registers, web searches, and databases.\nPMI Seventh Edition July 202178\nPMBOK® GuideAnother type of knowledge is tacit knowledge. Tacit knowledge is challenging to express as it \ncannot be codified. Tacit knowledge is comprised of experience, insights, and practical knowledge or \nskill. Tacit knowledge is shared by connecting the people who need the knowledge with people who have the knowledge. This can be accomplished via networking, interviews, job shadowing, discussion forums, workshops, or other similar methods.\nBecause projects are temporary endeavors, much of the knowledge is lost once the project is \ncompleted. Being attentive to knowledge transfer serves the organization by not only delivering the value that the project was undertaken to achieve, it also allows the organization to gain knowledge from the experience of running projects.\n2.5.9 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Project Work Performance Domain interacts and enables other performance domains \non the project. Project work enables and supports efficient and effective planning, delivery, and measurement. It provides the environment for project team meetings, interactions, and stakeholder engagement to be effective. Project work supports navigating uncertainty, ambiguity, and complexity; and it balances their impacts with the other project constraints.\nPMI Seventh Edition July 202179\nSection 2 – Project Performance Domains2.5.10 CHECKING RESULTS\nTable 2-7 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-7. Checking Outcomes—Project Work Performance Domain\nOutcome Check\nEfficient and effective project \nperformance\nProject processes that are \nappropriate for the project and the environment\nAppropriate communication and \nengagement with stakeholders\nEfficient management of physical \nresources\nEffective management of \nprocurements\nEffective handling of change\nImproved capability due to \ncontinuous learning and process improvementStatus reports show that project work is efficient and effective.\nEvidence shows that the project processes ha ve been tailored to meet the \nneeds of the project and the environment. Process audits and quality \nassurance activities show that the processes are rele vant and being used \neffectively.\nThe project communications management plan and communication artifacts \ndemonstrate that the planned communications are being delivered to stakeholders. There are few ad hoc requests for information or misunderstand-ings that might indicate engagement and communication activities are not effective.\nThe amount of material used, scrap discarded, and amount of rework indicate \nthat resources are being used efficiently.\nA procurement audit demonstrates that appropriate processes utilized were \nsufficient for the procurement and that the contractor is performing to plan.\nProjects using a predictive approach ha ve a change log that demonstrates \nchanges are being ev aluated holistically with consideration for scope, \nschedule, budget, resource, stakeholder , and risk impacts. Projects using an \nadaptive approach ha ve a backlog that shows the rate of accomplishing \nscope and the rate of adding new scope.Team status reports show fewer errors and rework with an increase in velocity.\nPMI Seventh Edition July 202180\nPMBOK® Guide2.6 DELIVERY PERFORMANCE DOMAIN\nProjects support strategy execution and the advancement of business objectives. Project \ndelivery focuses on meeting requirements, scope, and quality expectations to produce the expected \ndeliverables that will drive the intended outcomes.DELIVERY PERFORMANCE DOMAIN\nProjects contribute to business objectives and ad vancement \nof strateg y.\nProjects realize the outcomes they were initiated to delive r.\nProject benefits are realized in the time frame in wh ich they \nwere planned.\nThe project team has a clear understanding of requirements.\nStakeholders accept and are satisfied with project \ndeliverables.The Delivery P erformance \nDomain addresses \nactivities and functions associated with delivering the scope and quality that the project was under taken to achieve.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-20. Delivery Performance Domain\nPMI Seventh Edition July 202181\nSection 2 – Project Performance Domains\nThe following definitions are relevant to the Delivery Performance Domain:\nRequirement. A condition or capability that is necessary to be present in a product, service, \nor result to satisfy a business need.\nWork Breakdown Structure (WBS).\n A hierarchical decomposition of the total scope of work to \nbe carried out by the project team to accomplish the project objectives and create the required \ndeliverables.\nDefinition of Done (DoD). A checklist of all the criteria required to be met so that a deliverable \ncan be considered ready for customer use.Quality. The degree to which a set of inherent characteristics fulfills requirements.\nCost of Quality (COQ). All costs incurred over the life of the product by investment in preventing \nnonconformance to requirements, appraisal of the product or service for conformance to requirements, and failure to meet requirements. \nProjects provide business value by developing new products or services, solving problems, \nor fixing features that were defective or suboptimal. Projects often deliver multiple outcomes that stakeholders may", + "chunk_order_index": 51, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-130bfc37278bafc90298343494ac8632": { + "tokens": 1200, + "content": "considered ready for customer use.Quality. The degree to which a set of inherent characteristics fulfills requirements.\nCost of Quality (COQ). All costs incurred over the life of the product by investment in preventing \nnonconformance to requirements, appraisal of the product or service for conformance to requirements, and failure to meet requirements. \nProjects provide business value by developing new products or services, solving problems, \nor fixing features that were defective or suboptimal. Projects often deliver multiple outcomes that stakeholders may value differently. For example, one group may value ease of use or the time-saving aspects of a deliverable while another group values its economic return or market differentiation.\n2.6.1 DELIVERY OF VALUE\nProjects that use a development approach that supports releasing deliverables throughout the \nproject life cycle can start delivering value to the business, customer, or other stakeholders during the project. Projects that deliver the bulk of their deliverable at the end of the project life cycle generate value after the initial deployment.\nPMI Seventh Edition July 202182\nPMBOK® GuideBusiness value often continues to be captured long after the initial project has ended. \nFrequently, longer product and program life cycles are used to measure the bene fits and value \ncontributed by earlier projects.\nA business case document often provides the business justification and a projection of \nanticipated business value from a project. The format of this business case varies based on the \ndevelopment approach and life cycle selected. Examples include business case documents with \ndetailed estimates of return on investment or a lean, start-up canvas that describes high-level \nelements such as the problem, solution, revenue streams, and cost structures. These business \ndocuments demonstrate how the project outcomes align with the organization’s business objectives.\nProject-authorizing documents attempt to quantify the project’s desired outcomes to allow for \nperiodic measurement. These documents may range from detailed, baselined plans or high-level \nroadmaps that provide an overview of the project life cycle, major releases, key deliverables, reviews, \nand other top-level information.\n2.6.2 DELIVERABLES\nIn this context, deliverable refers to the interim or final product, service, or results from \na project. The deliverables enable the outcomes that the project was undertaken to create. \nDeliverables reflect the stakeholder requirements, scope, and quality, along with the long-term \nimpacts to profit, people, and the planet.\n2.6.2.1 Requirements\nA requirement is a condition or capability that is necessary to be present in a product, service, \nor result to satisfy a business need. Requirements can be very high level, such as those found \nin a business case, or they can be very detailed, such as those found in acceptance criteria for a \ncomponent of a system.\nProjects that have a well-defined scope, which is relatively stable, generally work with project \nstakeholders to elicit and document the requirements during up-front planning. Projects that have a \nhigh-level understanding of the requirements at the start of a project may evolve those requirements \nover time. Some projects discover requirements during project work.\nPMI Seventh Edition July 202183\nSection 2 – Project Performance Domains▶Requirements elicitation. To elicit means to draw out, bring forth, or evoke. There is\nmore to collecting requirements than interviewing or conducting focus groups. Sometimes\nrequirements are drawn out by analyzing data, observing processes, reviewing defect logs,or other methods.\nPart of eliciting requirements is documenting them and gaining stakeholder agreement.\nWell-documented requirements meet the following criteria:\n▹Clear. There is only one way to interpret the requirement.\n▹Concise. The requirement is stated in as few words as possible.\n▹Verifiable. There is a way to verify that the requirement has been met.\n▹Consistent. There are no contradictory requirements.\n▹Complete. The set of requirements represents the entirety of the current project\nor product needs.\n▹Traceable. Each requirement can be recognized by a unique identifier.\n▶Evolving and discovering requirements. On projects that do not have clearly defined\nrequirements up front, prototypes, demonstrations, storyboards, and mock-ups can beused to evolve the requirements. In these situations, stakeholders are more likely to takean “I’ll know it when I see it” approach to developing requirements. Evolving requirementsare common in projects using iterative, incremental, or adaptive development approaches.In some cases, new opportunities arise that change requirements.\n▶Managing requirements. Regardless of whether requirements are documented up\nfront, evolved along the way, or discovered, there is a need to manage them. Ineffectiverequirements management can lead to rework, scope creep, customer dissatisfaction,budget overruns, schedule delay, and overall project failure. Therefore, many projectshave one accountable person for requirements management. This person may serve asbusiness analyst, product owner, value engineer, or other title. Those individuals managingrequirements may use specialized software, backlogs, index cards, traceability matrices, orsome other method to ensure there is an appropriate level of requirement flexibility versusstability, and that new and changing requirements are agreed to by all relevant stakeholders.\nPMI Seventh Edition July 202184\nPMBOK® Guide2.6.2.2 Scope  Definition\nAs requirements are identified, the scope that will meet them is defined. Scope is the sum of \nthe products, services, and results to be provided as a project. As scope is defined, it creates the need \nfor more requirements identification. Therefore, like requirements, scope can be well defined up front, it can evolve over time, or it can be discovered.\n▶Scope decomposition. Scope can be elaborated using a scope statement to identify\nthe major deliverables associated with the project and the acceptance criteria for eachdeliverable. Scope can also be elaborated", + "chunk_order_index": 52, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-ed7b2ffc76054358b5eb4482c46583e7": { + "tokens": 1200, + "content": "Scope is the sum of \nthe products, services, and results to be provided as a project. As scope is defined, it creates the need \nfor more requirements identification. Therefore, like requirements, scope can be well defined up front, it can evolve over time, or it can be discovered.\n▶Scope decomposition. Scope can be elaborated using a scope statement to identify\nthe major deliverables associated with the project and the acceptance criteria for eachdeliverable. Scope can also be elaborated by decomposing it into lower levels of detailusing a work breakdown structure (WBS). A WBS is a hierarchical decomposition of the totalscope of work to be carried out by the project team to accomplish the project objectivesand create the required deliverables. Each level down in the hierarchy represents a greaterlevel of detail of the deliverable and work required to produce it.\nAnother way to elaborate scope is by identifying the themes of the project in an agile\ncharter, roadmap, or as part of the product hierarchy. Themes represent large groupsof customer value reflected as user stories associated by a common factor, such asfunctionality, data source, or security level. To accomplish themes, the project teamdevelops epics, which are logical containers for a large user story that is too big to completewithin an iteration. Epics may be decomposed into features, a set of related requirementstypically described as a short phrase or function, which represent specific behaviors ofa product. Each feature will have multiple user stories. A user story is a brief descriptionof an outcome for a specific user, which is a promise for a conversation to clarify details.The project team defines story details at the last responsible moment to avoid wastefulplanning should the scope change. The story is a clear and concise representation of\na requirement written from the end user’s perspective.\nPMI Seventh Edition July 202185\nSection 2 – Project Performance Domains▶Completion of deliverables. Depending on the approach used, there are different ways\nto describe component or project completion:\n▹Acceptance or completion criteria. The criteria required to be met before the customer\naccepts the deliverable or before the project is considered complete are often\ndocumented in a scope statement.\n▹Technical performance measures. The technical specifications for a product may be\ndocumented in a separate specifications document, or they may be documented asan extension to the WBS. This extension, known as a WBS dictionary, elaborates theinformation for each deliverable (work package) in the WBS.\n▹Definition of done. The definition of done is used with adaptive approaches, particularlyin software development projects. It is a checklist of all the criteria required to be metso that a deliverable can be considered ready for customer use.\n2.6.2.3 Moving Targets of Completion\nProjects that operate in uncertain and rapidly changing environments face the situation that \na “good enough for release” or “done” goal may be subject to change. In markets where competitors are releasing new products frequently, the features planned for a new release may be updated. Likewise, new technology trends, such as mobile devices or wearable devices, might trigger a change in direction or introduce new requirements.\nIn these environments, the definition of the project goal being delivered or “done” is constantly \nmoving. Project teams track the planned rate of project goal achievement relative to the rate of progress toward completion. The longer the project takes to complete, the further the project goal of “done” is likely to move. This is sometimes referred to as “done drift.”\nPMI Seventh Edition July 202186\nPMBOK® Guide\nFigure 2-21 shows a scenario for developing a new smart watch. The initial schedule shows \n12 months to develop the watch with the initial set of capabilities and features. As competitors \nlaunch similar products, the initial set of capabilities and features increases to stay relevant with the market. This pushes the launch date to Month 14. At 13 months, another competitor launches a product with even more capabilities. Adding these capabilities would delay the launch to Month 16. At some point, a decision will be made whether to release the product as is, even though it doesn’t have the latest features, or continue to update the features prior to launch.\nInitial Shedule\nNew Features\nIdentified\nNew Features\nIdentifiedNew Features\nIdentified\nDone Drift1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 161 2 3 4 5 6 7 8 9 10 11 12 13 141 2 3 4 5 6 7 8 9 10 11 12\nDone Drift\nFigure 2-21. Scenario for Developing a Smart Watch \nPMI Seventh Edition July 202187\nSection 2 – Project Performance DomainsProjects that operate in a more stable environment often face “scope creep.” This is when \nadditional scope or requirements are accepted without adjusting the corresponding schedule, \nbudget, or resource needs. To combat scope creep, project teams use a change control system where all changes are evaluated for the potential value they bring to the project and the potential resources, time, and budget needed to realize the potential value. The project team then presents the changes to the project governance body, product owner, or executive sponsor for formal approval.\n2.6.3 QUALITY\nDelivery is more than just scope and requirements. Scope and requirements focus on what \nneeds to be delivered. Quality focuses on the performance levels that are required to be met. Quality requirements may be reflected in the completion criteria, definition of done, statement of work, or requirements documentation.\nMuch of the costs associated with quality are born by the sponsoring organization and are \nreflected in policies, procedures, and work processes.", + "chunk_order_index": 53, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-6914c6ceb214ebf9b69000b8386f6402": { + "tokens": 1200, + "content": "owner, or executive sponsor for formal approval.\n2.6.3 QUALITY\nDelivery is more than just scope and requirements. Scope and requirements focus on what \nneeds to be delivered. Quality focuses on the performance levels that are required to be met. Quality requirements may be reflected in the completion criteria, definition of done, statement of work, or requirements documentation.\nMuch of the costs associated with quality are born by the sponsoring organization and are \nreflected in policies, procedures, and work processes. For example, organizational policies that govern how work is performed and procedures that prescribe work processes are often part of the organization’s quality policy. The cost of overhead, training, and process audit are born by the organization, though they are employed by the project. Inherent in projects is balancing the quality needs of the processes and products with the costs associated with meeting those needs.\nPMI Seventh Edition July 202188\nPMBOK® Guide2.6.3.1 Cost of Quality\nThe cost of quality (COQ) methodology is used to find the appropriate balance for investing \nin quality prevention and appraisal to avoid defect or product failures. This model identifies four \ncategories of costs associated with quality: prevention, appraisal, internal failure, and external failure. Prevention and appraisal costs are associated with the cost of compliance to quality requirements. Internal and external failure costs are associated with the cost of noncompliance.\n▶Prevention. Prevention costs are incurred to keep defects and failures out of aproduct. Prevention costs avoid quality problems. They are associated with the design,implementation, and maintenance of the quality management system. They are plannedand incurred before actual operation. Examples include:\n▹Product or service requirements, such as the establishment of specifications for incoming\nmaterials, processes, finished products, and services;\n▹Quality planning, such as the creation of plans for quality, reliability, operations,\nproduction, and inspection;\n▹Quality assurance, such as the creation and maintenance of the quality system; and\n▹Training, such as the development, preparation, and maintenance of programs.\n▶Appraisal. Appraisal costs are incurred to determine the degree of conformance to\nquality requirements. Appraisal costs are associated with measuring and monitoringactivities related to quality. These costs may be associated with evaluation of purchasedmaterials, processes, products, and services to ensure that they conform to specifications.They could include:\n▹Verification, such as checking incoming material, process setup, and products againstagreed specifications;\n▹Quality audits, such as confirmation that the quality system is functioning correctly; and\n▹Supplier rating, such as assessment and approval of suppliers of products and services.\nPMI Seventh Edition July 202189\nSection 2 – Project Performance Domains▶Internal Failure. Internal failure costs are associated with finding and correcting defects\nbefore the customer receives the product. These costs are incurred when the results\nof work fail to reach design quality standards. Examples include:\n▹Waste, such as performance of unnecessary work or holding enough stock to account\nfor errors, poor organization, or communication;\n▹Scrap, such as defective product or material that cannot be repaired, used, or sold;\n▹Rework or rectification, such as correction of defective material or errors; and\n▹Failure analysis, such as activities required to establish the causes of internal product\nor service failure.\n▶External Failure. External failure costs are associated with defects found after the\ncustomer has the product and with remediation. Note that to consider these failures\nholistically requires thinking about the project's product while it is in operation aftermonths or years, not just at the handover date. External failure costs occur when productsor services that fail to reach design quality standards are not detected until after they havereached the customer. Examples include:\n▹Repairs and servicing, for both returned products and those that are deployed;\n▹Warranty claims, such as failed products that are replaced or services that arereperformed under a guarantee;\n▹Complaints, for all work and costs associated with handling and servicing customers’\ncomplaints;\n▹Returns, for handling and investigation of rejected or recalled products, including\ntransport costs; and\n▹Reputation, where reputation and public perception can be damaged depending on the\ntype and severity of defects.\nTo optimize delivered value, early inspection and review work focused on finding quality issues as \nsoon as possible are good investments. Attempts to “test-quality-in” late in the development life cycle are likely to fail because discovering quality issues late in development is time- and cost-prohibitive due to high rates of scrap and rework, along with the ripple effect to downstream outputs and stakeholders.\nPMI Seventh Edition July 202190\nPMBOK® Guide2.6.3.2 Cost of Change\nThe later a defect is found, the more expensive it is to correct. This is because design and \ndevelopment work have typically already occurred based on the flawed component. Also, activities \nare more costly to modify as the life cycle progresses since more stakeholders are impacted. This phenomenon is characterized by the cost of change curve (see Figure 2-22).\nCost\nPhase DetectedBuild Test Production Design RequirementsCost of Change\n1x5x20x50x150x\nBoehm’s Cost of Change Curv e: Change ge ts more expensive over time\nFigure 2-22. Cost of Change Curve\nPMI Seventh Edition July 202191\nSection 2 – Project Performance DomainsTo counter the impacts of the cost of change curve, project teams design project processes \nto build in quality. This approach can include quality analysts working with designers and engineers \nto understand and determine how best to achieve quality during each step in the project life cycle. Being proactive about quality work helps avoid the high cost of change associated with fixing quality issues", + "chunk_order_index": 54, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-c68d7b8ceebc7796fd7af2580eca4226": { + "tokens": 1200, + "content": "expensive over time\nFigure 2-22. Cost of Change Curve\nPMI Seventh Edition July 202191\nSection 2 – Project Performance DomainsTo counter the impacts of the cost of change curve, project teams design project processes \nto build in quality. This approach can include quality analysts working with designers and engineers \nto understand and determine how best to achieve quality during each step in the project life cycle. Being proactive about quality work helps avoid the high cost of change associated with fixing quality issues discovered later in the life cycle. It is quicker and more cost efficient to fix a design problem between two engineers than a component problem affecting hundreds of units or to recall a product impacting thousands of customers.\n2.6.4 SUBOPTIMAL OUTCOMES\nAll projects attempt to deliver outcomes, though some may fail to do so or may produce \nsuboptimal outcomes. The potential for suboptimal outcomes exists in every project. In the case of a fully experimental project, the organization is attempting to achieve a breakthrough, such as the creation of a completely new technology, for example. This requires deliberate investment in an uncertain outcome. Companies that produce new medicines or compounds may experience several failures before finding a successful formula. Some projects may fail to deliver outcomes because the market opportunity has passed or competitors were first to market with their offering. Effective project management can minimize negative outcomes, but such possibilities are part of the uncertainty of attempting to produce a unique deliverable.\n2.6.5 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Delivery Performance Domain is the culmination of the work done in the Planning \nPerformance Domain. The delivery cadence is based on the way work is structured in the Development Approach and Life Cycle Performance Domain. The Project Work Performance Domain enables the deliveries by establishing processes, managing physical resources, managing procurements, and so forth. Project team members perform the work in this performance domain for the relevant stakeholders. The nature of the work to create the deliveries will influence how the project team navigates uncertainty that impacts the project.\nPMI Seventh Edition July 202192\nPMBOK® Guide2.6.6 CHECKING RESULTS\nTable 2-8 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-8. Checking Outcomes—Delivery Performance Domain\nOutcome Check\nProjects contribute to business \nobjectives and advancement of strategy\nProjects realize the outcomes they \nwere initiated to deliver\nProject benefits are realized in the \ntime frame in which they were planned\nThe project team has a clear \nunderstanding of requirements\nStakeholders accept and are \nsatisfied with project deliverablesThe business plan and the organization’s strategic plan, along with the project authorizing documents, demonstrate that the project deliverables and business objectives are aligned.\nThe business case and underlying data indicate the project is still on track to \nrealize the intended outcomes.\nThe benefits realization plan, business case, and/or schedule indicate that the \nfinancial metrics and scheduled deliveries are being achieved as planned.\nIn predictive development, little change in the initial requirements reflects \nunderstanding . In projects where requirements are evolving , a clear under-\nstanding of requirements may not take place until well into the project.\nInterviews, observation, and end user feedback indicate stakeholder \nsatisfaction with deliverables. Levels of complaints and returns can also be used to indicate satisfaction.\nPMI Seventh Edition July 202193\nSection 2 – Project Performance Domains2.7 MEASUREMENT PERFORMANCE DOMAIN\nMeasurement involves assessing project performance and implementing appropriate \nresponses to maintain optimal performance.MEASUREMENT PERFORMANCE DOMAIN\nA reliable understanding of the status of the project .\nActionable data to facilitate decision making .\nTimely and appropriate actions to ke ep project perfor mance \non track.\nAchie ving targets and ge nerating business va lue by making \ninformed and timely decisions based on reliable forecasts \nand evaluations.The Measurement \nPerformance Domain \naddresses activities and functions associated with assessing project perfor mance and taking \nappropriate actions to maintain acceptable performance.Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-23. Measurement Performance Domain\nThe following definitions are relevant to the Measurement Performance Domain:\nMetric. A description of a project or product attribute and how to measure it.\nBaseline. The approved version of a work product used as a basis for comparison to actual results.Dashboard. A set of charts and graphs showing progress or performance against important \nmeasures of the project. \nPMI Seventh Edition July 202194\nPMBOK® GuideThe Measurement Performance Domain evaluates the degree to which the work done in the \nDelivery Performance Domain is meeting the metrics identified in the Planning Performance Domain. \nFor example, performance can be measured and evaluated using baselines identified in the Planning Performance Domain. Having timely and accurate information about project work and performance allows the project team to learn and determine the appropriate action to take to address current or expected variances from the desired performance.\nMeasures are used for multiple reasons, including:\n▶Evaluating performance compared to plan;\n▶Tracking the utilization of resources, work completed, budget expended, etc.;\n▶Demonstrating accountability;\n▶Providing information to stakeholders;\n▶Assessing whether project deliverables are on track to deliver planned benefits;\n▶Focusing conversations about trade-offs, threats, opportunities, and options; and\n▶Ensuring the project deliverables will meet customer acceptance criteria.\nThe value of measurements is not in the collection and dissemination of the data, but rather \nin the conversations about how to use the data to take appropriate action. Therefore, while much of this performance domain addresses various types of measurements that can be captured, use of the measures occurs within the context of activities in other performance domains, such as project team and stakeholder discussions, coordinating project work, and so forth.\nPMI Seventh Edition July 202195\nSection 2 – Project Performance Domains2.7.1 ESTABLISHING", + "chunk_order_index": 55, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b1eb1b308668b487160501574c3302cf": { + "tokens": 1200, + "content": "the collection and dissemination of the data, but rather \nin the conversations about how to use the data to take appropriate action. Therefore, while much of this performance domain addresses various types of measurements that can be captured, use of the measures occurs within the context of activities in other performance domains, such as project team and stakeholder discussions, coordinating project work, and so forth.\nPMI Seventh Edition July 202195\nSection 2 – Project Performance Domains2.7.1 ESTABLISHING EFFECTIVE MEASURES\nEstablishing effective measures helps to ensure the right things are measured and reported \nto stakeholders. Effective measures allow for tracking, evaluating, and reporting information that \ncan communicate project status, help improve project performance, and reduce the likelihood \nof performance deterioration. These measures allow the project team to use information to make \ntimely decisions and take effective actions.\n2.7.1.1 Key Performance Indicators\nKey performance indicators (KPIs) for projects are quantifiable measures used to evaluate the \nsuccess of a project. There are two types of KPIs: leading indicators and lagging indicators.\nThis performance domain focuses on measures for active projects. A portfolio leader may \nwant to include measures that address the success of the project after it is completed, such as whether the project delivered the intended outcomes and benefits. Portfolio leaders may assess if the project outcome increased customer satisfaction, decreased cost per unit, or other measures that are not available until after the project has closed. Similarly, business managers may assess the project from the perspective of the value the outcome brings to the organization. Business measures might include the increase in market share, increase in profit, or decrease in cost per unit. The Measurement Performance Domain addresses measures and metrics that are used during the project. \nPMI Seventh Edition July 202196\nPMBOK® Guide▶Leading indicators. Leading indicators predict changes or trends in the project. If the\nchange or trend is unfavorable, the project team evaluates the root cause of the leading\nindicator measurement and takes actions to reverse the trend. Used in this way, leadingindicators can reduce performance risk on a project by identifying potential performancevariances before they cross the tolerance threshold.\nLeading indicators may be quantifiable, such as the size of the project or the number ofitems that are in progress in the backlog. Other leading indicators are more difficult toquantify, but they provide early warning signs of potential problems. The lack of a riskmanagement process, stakeholders who are not available or engaged, or poorly definedproject success criteria are all examples of leading indicators that project performancemay be at risk.\n▶Lagging indicators. Lagging indicators measure project deliverables or events. They\nprovide information after the fact. Lagging indicators reflect past performance orconditions. Lagging indicators are easier to measure than leading indicators. Examplesinclude the number of deliverables completed, the schedule or cost variance, and theamount of resources consumed.\nLagging indicators can also be used to find correlations between outcomes and\nenvironmental variables. For example, a lagging indicator that shows a schedule variancemay show a correlation with project team member dissatisfaction. This correlation canassist the project team in addressing a root cause that may not have been obvious if theonly measure was schedule status.\nIn and of themselves, KPIs are simply measures that have no real use unless and until they \nare used. Discussing leading and lagging indicators and identifying areas for improvement, as appropriate, can have a positive impact on performance.\nPMI Seventh Edition July 202197\nSection 2 – Project Performance Domains2.7.1.2 Effective Metrics\nMeasuring takes time and effort, which could otherwise be spent on other productive work; \ntherefore, project teams should only measure what is relevant and should ensure that the metrics \nare useful. Characteristics of effective metrics (or SMART criteria) include:\n▶Specific. Measurements are specific as to what to measure. Examples include the number\nof defects, the defects that have been fixed, or the average time it takes to fix defects.\n▶Meaningful. Measures should be tied to the business case, baselines, or requirements.\nIt is not efficient to measure product attributes or project performance that do not lead tomeeting objectives or improving performance.\n▶Achievable. The target is achievable given the people, technology, and environment.\n▶Relevant. Measures should be relevant. The information provided by the measure shouldprovide value and allow for actionable information.\n▶Timely. Useful measurements are timely. Information that is old is not as useful as freshinformation. Forward-looking information, such as emerging trends, can help project teamschange direction and make better decisions.\nThe SMART acronym described previously can use alternative terms. For example, some people \nprefer “measurable” instead of meaningful, “agreed to” instead of achievable, “realistic” or \n“reasonable” instead of relevant, and “time bound” instead of timely. \nPMI Seventh Edition July 202198\nPMBOK® Guide2.7.2 WHAT TO MEASURE\nWhat is measured, the parameters, and the measurement method depend on the project \nobjectives, the intended outcomes, and the environment in which the project takes place. Common \ncategories of metrics include:\n▶Deliverable metrics,\n▶Delivery,\n▶Baseline performance,\n▶Resources,\n▶Business value,\n▶Stakeholders, and\n▶Forecasts.\nA balanced set of metrics helps to provide a holistic picture of the project, its performance, and \nits outcomes.\nSections 2.7.2.1 through 2.7.2.7 provide a brief description of these categories.\n2.7.2.1 Deliverable Metrics\nBy necessity, the products, services, or results being delivered determine the useful measures. \nCustomary measures include:\n▶Information on errors or defects. This measure includes", + "chunk_order_index": 56, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-c0914a62e57140d9d3450d905d5b1dc1": { + "tokens": 1200, + "content": "▶Forecasts.\nA balanced set of metrics helps to provide a holistic picture of the project, its performance, and \nits outcomes.\nSections 2.7.2.1 through 2.7.2.7 provide a brief description of these categories.\n2.7.2.1 Deliverable Metrics\nBy necessity, the products, services, or results being delivered determine the useful measures. \nCustomary measures include:\n▶Information on errors or defects. This measure includes the source of defects, number\nof defects identified, and number of defects resolved.\n▶Measures of performance. Measures of performance characterize physical or functional\nattributes relating to the system operation. Examples include size, weight, capacity,accuracy, reliability, efficiency, and similar performance measures.\n▶Technical performance measures. Quantifiable measures of technical performance are\nused to ensure system components meet technical requirements. They provide insightsinto progress in achieving the technical solution.\nPMI Seventh Edition July 202199\nSection 2 – Project Performance Domains2.7.2.2 Delivery\nDelivery measurements are associated with work in progress. These measures are frequently \nused in projects using adaptive approaches.\n▶Work in progress. This measure indicates the number of work items that are being worked\non at any given time. It is used to help the project team limit the number of items in progress\nto a manageable size.\n▶Lead time. This measure indicates the amount of elapsed time from a story or chunkof work entering the backlog to the end of the iteration or the release. Lower lead timeindicates a more effective process and a more productive project team.\n▶Cycle time. Related to lead time, cycle time indicates the amount of time it takes theproject team to complete a task. Shorter times indicate a more productive project team.\nA consistent time helps predict the possible rate of work in the future.\n▶Queue size. This measure tracks the number of items in a queue. This metric can becompared to the work in progress limit. Little’s Law states that queue size is proportionalto both the rate of arrival in the queue and the rate of completion of items from the queue.One can gain insights into completion times by measuring work in progress and developinga forecast for future work completion.\n▶Batch size. Batch size measures the estimated amount of work (level of effort, story points,etc.) that is expected to be completed in an iteration.\n▶Process efficiency. Process efficiency is a ratio used in lean systems to optimize the flow\nof work. This measure calculates the ratio between value-adding time and non-value-addingactivities. Tasks that are waiting increase the non-value-adding time. Tasks that are indevelopment or in verification represent value-adding time. Higher ratios indicate a moreefficient process.\nPMI Seventh Edition July 2021100\nPMBOK® Guide2.7.2.3 Baseline Performance\nThe most common baselines are cost and schedule. Projects that track a scope or technical \nbaseline can use information in the deliverable measures.\nMost schedule measures track actual performance to planned performance related to:\n▶Start and finish dates. Comparing the actual start dates to the planned start dates and\nthe actual finish dates to the planned finish dates can measure the extent to which work isaccomplished as planned. Even if work is not on the longest path through the project (thecritical path), late start and finish dates indicate that the project is not performing to plan.\n▶Effort and duration. Actual effort and duration compared to planned effort and duration\nindicates whether estimates for the amount of work and the time the work takes are valid.\n▶Schedule variance (SV). A simple schedule variance is determined by looking at\nperformance on the critical path. When used with earned value management, it is thedifference between the earned value and the planned value. Figure 2-24 shows an earnedvalue graph illustrating the schedule variance.\n▶Schedule performance index (SPI). Schedule performance index is an earned value\nmanagement measure that indicates how efficiently the scheduled work is being performed.\n▶Feature completion rates. Examining the rate of feature acceptance during frequent\nreviews can help assess progress and estimate completion dates and costs.\nCommon cost measures include:\n▶Actual cost compared to planned cost. This cost measure compares the actual cost for\nlabor or resources to the estimated cost. This term may be referred to as the burn rate.\n▶Cost variance (CV). A simple cost variance is determined by comparing the actual cost\nof a deliverable to the estimated cost. When used with earned value management, it isthe difference between the earned value and the actual cost. Figure 2-24 shows an earnedvalue graph illustrating the cost variance.\n▶Cost performance index (CPI). An earned value management measure that indicates\nhow efficiently the work is being performed with regard to the budgeted cost of the work.\nPMI Seventh Edition July 2021101\nSection 2 – Project Performance Domains\nTimeCostCV\nSV\nPlanned Value (PV)\nActual Costs (A C)\nEarned Value (EV)CV = EV – AC\nSV = EV – PVCPI = EV / ACSPI = EV / PVBAC\nFigure 2-24. Earned Value Analysis Showing Schedule and Cost Variance\n2.7.2.4 Resources\nResource measurements may be a subset of cost measurements since resource variances \nfrequently lead to cost variances. The two measures evaluate price variance and usage variance. \nMeasures include:\n▶Planned resource utilization compared to actual resource utilization. This\nmeasurement compares the actual usage of resources to the estimated usage. A usagevariance is calculated by subtracting the planned usage from the actual usage.\n▶Planned resource cost compared to actual resource cost. This measurement compares\nthe actual cost of resources to the estimated cost. Price variance is calculated by subtractingthe estimated cost", + "chunk_order_index": 57, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-e1cba1a3aef2fa4286b344c2fbe9cb7f": { + "tokens": 1200, + "content": "frequently lead to cost variances. The two measures evaluate price variance and usage variance. \nMeasures include:\n▶Planned resource utilization compared to actual resource utilization. This\nmeasurement compares the actual usage of resources to the estimated usage. A usagevariance is calculated by subtracting the planned usage from the actual usage.\n▶Planned resource cost compared to actual resource cost. This measurement compares\nthe actual cost of resources to the estimated cost. Price variance is calculated by subtractingthe estimated cost from the actual cost.\nPMI Seventh Edition July 2021102\nPMBOK® Guide2.7.2.5 Business Value\nBusiness value measurements are used to ensure the project deliverable stays aligned to the \nbusiness case and the benefits realization plans. Business value has many aspects—both financial \nand nonfinancial. Metrics that measure financial business value include:\n▶Cost-benefit ratio. This is a measure of the expected present value of an investment with\nthe initial cost. The cost-benefit ratio is used to determine if the costs of a project outweigh \nits benefits. If the costs are greater than the benefits, the res\nult will be greater than 1.0. In this \ncase, the project should not be considered unless there are regulatory, social good, or otherreasons to do the project. A similar measure is a benefit-cost ratio. The same measures areused, but the benefits are in the numerator and the costs are in the denominator. For thismeasure, if the ratio is greater than 1.0, the project should be considered.\n▶Planned benefits delivery compared to actual benefits delivery. As part of a business\ncase, organizations may identify value as the benefit that will be delivered as a result ofdoing the project. For projects that expect to deliver benefits during the project life cycle,measuring the benefits delivered and the value of those benefits, then comparing thatinformation to the business case, provides information that can justify the continuation\nof the project, or in some cases, the cancellation of the project.\n▶Return on investment (ROI). A measure of the amount of financial return compared to \nthe cost, ROI is generally developed as an input to the decision to undertake a project. Theremay be estimates of ROI at different points in time across the project life cycle. By measuringROI throughout the project, the project team can determine if it makes sense to continue theinvestment of organizational resources.\n▶Net present value (NPV). The difference between the present value of inflows ofcapital and the present value of outflows of capital over a period of time, NPV is generallydeveloped when deciding to undertake a project. By measuring the NPV throughout theproject, the project team can determine if it makes sense to continue the investment oforganizational resources.\nPMI Seventh Edition July 2021103\nSection 2 – Project Performance Domains2.7.2.6 Stakeholders\nStakeholder satisfaction can be measured with surveys or by inferring satisfaction, or lack \nthereof, and by looking at related metrics, such as:\n▶Net Promoter Score® (NPS®). A Net Promoter Score measures the degree to which a\nstakeholder (usually the customer) is willing to recommend a product or service to others.\nIt measures a range from -100 to +100. A high Net Promoter Score not only measuressatisfaction with a brand, product, or service, it is also an indicator of customer loyalty.\n▶Mood chart. A mood chart can track the mood or reactions of a group of very importantstakeholders—the project team. At the end of each day, project team members can usecolors, numbers, or emojis to indicate their frame of mind. Figure 2-25 shows a mood chartusing emojis. Tracking the project team’s mood or individual project team member’s moodscan help to identify potential issues and areas for improvement.\nSunday Monday Tuesday Wednesday Thursday Friday Saturday\nFigure 2-25. Mood Board\nPMI Seventh Edition July 2021104\nPMBOK® Guide▶Morale. Since mood boards can be subjective, another option is to measure project team\nmorale. This can be done by surveys, asking project team members to rate their agreement\non a scale of 1 to 5 to statements such as:\n▹I feel my work contributes to the overall outcomes.\n▹I feel appreciated.\n▹I am satisfied with the way my project team works together.\n▶Turnover. Another way to track morale is by looking at unplanned project team turnover.High rates of unplanned turnover may indicate low morale.\n2.7.2.7 Forecasts\nProject teams use forecasts to consider what might happen in the future so they can consider \nand discuss whether to adapt plans and project work accordingly. Forecasts can be qualitative, such as using expert judgment about what the future will hold. They can also be causal when seeking to understand the impact a specific event or condition will have on future events. Quantitative forecasts seek to use past information to estimate what will happen in the future. Quantitative forecasts include:\n▶Estimate to complete (ETC).3 An earned value management measure that forecasts\nthe expected cost to finish all the remaining project work. There are many different waysto calculate the estimate to complete. Assuming past performance is indicative of futureperformance, a common measurement is calculation of the budget at completion minusthe earned value, then dividing by the cost performance index. For more calculations todetermine the ETC, see The Standard for Earned Value Management [2].\n▶Estimate at completion (EAC). This earned value management measure forecasts theexpected total cost of completing all work (see Figure 2-26). There are many differentways to calculate the estimate at completion. Assuming past performance is indicative offuture performance, a common measurement is the budget at completion divided by the", + "chunk_order_index": 58, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-86bf58aeb66cf74473057a61493dd834": { + "tokens": 1200, + "content": "budget at completion minusthe earned value, then dividing by the cost performance index. For more calculations todetermine the ETC, see The Standard for Earned Value Management [2].\n▶Estimate at completion (EAC). This earned value management measure forecasts theexpected total cost of completing all work (see Figure 2-26). There are many differentways to calculate the estimate at completion. Assuming past performance is indicative offuture performance, a common measurement is the budget at completion divided by thecost performance index. For more calculations to determine the EAC, see The Standard for\nEarned Value Management [2].\n3 Quantitative forecasts associated with earned value management are often used for very large projects. Some \ndeliverables in those projects may use adaptive development methods. However, the forecasting metrics in \nearned value management are predominantly used in predictive environments.\nPMI Seventh Edition July 2021105\nSection 2 – Project Performance Domains▶Variance at completion (VAC). An earned value management measure that forecasts the\namount of budget deficit or surplus. It is expressed as the difference between the budget\nat completion (BAC) and the estimate at completion (EAC).\n▶To-complete performance index (TCPI). An earned value management measure that\nestimates the cost performance required to meet a specified management goal. TCPI isexpressed as the ratio of the cost to finish the outstanding work to the remaining budget.\n▶Regression analysis. An analytical method where a series of input variables are examined\nin relation to their corresponding output results in order to develop a mathematical orstatistical relationship. The relationship can be used to infer future performance.\n▶Throughput analysis. This analytical method assesses the number of items beingcompleted in a fixed time frame. Project teams that use adaptive practices use throughputmetrics such as features complete vs. features remaining, velocity, and story points toevaluate their progress and estimate likely completion dates. Using duration estimates\nand burn rates of stable project teams can help verify and update cost estimates.\nTimeCost\nEVACPVBudget at Completion (BAC)Estimate at Completion (EAC )\nEstimate to\nComplete\n(ETC)\nStatus DatePlanned Value (PV) Cur ve\nActual Costs (AC) Curv e\nEarned Value (EV) Curv e\nFigure 2-26. Forecast of Estimate at Completion and Estimate to Complete\nPMI Seventh Edition July 2021106\nPMBOK® Guide2.7.3 PRESENTING INFORMATION\nThe measures being collected are important, but what is done with the measures is just as \nimportant. For information to be useful, it has to be timely, accessible, easy to absorb and digest, \nand presented so that it correctly conveys the degree of uncertainty associated with the information. Visual displays with graphics can help stakeholders absorb and make sense of information.\n2.7.3.1 Dashboards\nA common way of showing large quantities of information on metrics is a dashboard. Dashboards \ngenerally collect information electronically and generate charts that depict status. Often, dashboards offer high-level summaries of data and allow drill-down analysis into contributing data. Figure 2-27 provides an example of a dashboard.\nDashboards often include information displayed as stoplight charts (also known as RAG charts \nwhere RAG is an abbreviation for red-amber-green), bar charts, pie charts, and control charts. A text explanation can be used for any measures that are outside the established thresholds.\nPMI Seventh Edition July 2021107\nSection 2 – Project Performance DomainsOrganization Project Name\nProject Name and\nHigh-LevelDescription\nExec Sponsor:\nStart Date:\nStatus:PM:\nEnd Date:\nSchedule\nActivity #1\nActivity #2\nActivity #3Concer n\nOn Track\nIssueResources\nRecent Accomplishments Upcoming Key Deliverables Status Key Activities\nCurrent Key Risks –C urrent Key Issues –BudgetReport Period:\nThreats and oppor tunities;\nMitiga tionDescriptionOn TrackC omplete Concer n IssueO n Hold Canceled Not Star ted\nFigure 2-27. Dashboard Example\nPMI Seventh Edition July 2021108\nPMBOK® Guide2.7.3.2 Information Radiators\nInformation radiators, also known as big visible charts (BVCs), are visible, physical displays \nthat provide information to the rest of the organization, enabling timely knowledge sharing. They \nare posted in a place where people can see the information easily, rather than having information in a scheduling or reporting tool. BVCs should be easy to update, and they should be updated frequently. They are often “low tech and high touch” in that they are manually maintained rather than electronically generated. Figure 2-28 shows an information radiator associated with work completed, work remaining, and risks.\nRisk Description Date Likelihood Impact Risk Rating\nRisk LogResponse Owner Reference\nThe main supplier cannot\ndeliver on time because of \nother commercial commitmentsShows ho w \nmuch work is \nyet to be \ncompletedShows ho w \nmuch work \nhas been \ncompletedShows how much \nwork has been \ncompleted and how much remains \nInclude financial penalties in \ncontract; build contingency into the schedule; monitor contractor perfor mance\nOrder leased line earl ier than \nnecessar y; incur additional \nrental fees\nEmploy temporary staff \nto free up resources for testing; revise project schedule\nPrioritize projects; temporarily remo ve alter native development \ninstanceThe lead time for the leased line exceeds 90 da ys\nRelease of the new system \nis dela yed because user \nacceptance testing commences after the planned start\nThere is insufficient capacity to \ncreate additional database instances for data mig ration \nand testingAnnie\nJim\nMark\nJimHigh\nMedium\nHigh\nLowHigh\nMedium\nHigh\nMediumLikely\nUnlike ly\nVery\nlikely", + "chunk_order_index": 59, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-a0cd80fe6cfdb0202a7214e71a96fc25": { + "tokens": 1200, + "content": "revise project schedule\nPrioritize projects; temporarily remo ve alter native development \ninstanceThe lead time for the leased line exceeds 90 da ys\nRelease of the new system \nis dela yed because user \nacceptance testing commences after the planned start\nThere is insufficient capacity to \ncreate additional database instances for data mig ration \nand testingAnnie\nJim\nMark\nJimHigh\nMedium\nHigh\nLowHigh\nMedium\nHigh\nMediumLikely\nUnlike ly\nVery\nlikely\nVery\nunlike ly03/21\n03/21\n03/21\n04/181\n2\n3\n4Burndown Chart Burnup Chart Combined Burn Chart\nFigure 2-28. Information Radiator\nPMI Seventh Edition July 2021109\nSection 2 – Project Performance Domains2.7.3.3 Visual Controls\nIn lean environments, information radiators are known as visual controls. Visual controls \nillustrate processes to easily compare actual against expected performance. Visual controls show a \nprocess using visual cues. Visual controls can be present for all levels of information from business value delivered to tasks that have started. They should be highly visible for anyone to see.\n▶Task boards. A task board is a visual representation of the planned work that allows\neveryone to see the status of the tasks. A task board can show work that is ready to bestarted (to do), work in progress, and work that is completed (see Figure 2-29).\nA task board allows anyone to see at a glance the status of a particular task or the number\nof tasks in each stage of work. Different color sticky notes can represent different types ofwork, and dots can be used to show how many days a task has been in its current position.\nFlow-based projects, such as those that use kanban boards, can use these charts to limit\nthe amount of work in progress. If a column is approaching the work in progress limit,project team members can “swarm” around the current work to help those working ontasks that are slowing the flow.\n▶Burn charts. Burn charts, such as a burnup or burndown charts, can show project teamvelocity. Velocity measures the productivity rate at which the deliverables are produced,validated, and accepted within a predefined interval. A burnup chart can track the amountof work done compared to the expected work that should be done (see Figure 2-30).\nA burndown chart can show the number of story points remaining or the amount of riskexposure that has been reduced.\n▶Other types of charts. Visual charts can also include information such as an impedimentlist that shows a description of the impediment to getting work done, the severity, and theactions being taken to resolve the impediment.\nPMI Seventh Edition July 2021110\nPMBOK® GuideKanban Board\nReadyDevelop and\nUnit TestDev-DoneSystem\nTestDone\n8 3 2 Cycle time: from\nthe time yo u star t\na task until yo u\ncomplete it.\nLead time: from the time yo u \nput it on the board until yo u\ndeliver it. Because yo u can \nchang e the order of the items\nin the Ready column, this can\nbe unpredictable.\nThere is a limiton this column.You can s wap\nout somethingand swap some-thing else in atany time.Deliver to Customer\nFigure 2-29. Task Board or Kanban Board\nPMI Seventh Edition July 2021111\nSection 2 – Project Performance Domains2.7.4 MEASUREMENT PITFALLS\nProject measures help the project team meet the project objectives. However, there are \nsome pitfalls associated with measurement. Awareness of these pitfalls can help minimize their \nnegative effect.Day\n135\n3025201510\n50\nDay\n2Day\n3Day\n4Day\n5Day\n6Day\n7Day\n8Day\n9Day\n10Story\nPointsDoneStory Points Done\nFigure 2-30. Burnup Chart\nPMI Seventh Edition July 2021112\nPMBOK® Guide▶Hawthorne effect. The Hawthorne effect states that the very act of measuring something\ninfluences behavior. Therefore, take care in establishing metrics. For example, measuring\nonly a project team's output of deliverables can encourage the project team to focus oncreating a large volume of deliverables rather than focusing on deliverables that wouldprovide higher customer satisfaction.\n▶Vanity metric. A vanity metric is a measure that shows data but does not provide usefulinformation for making decisions. Measuring pageviews of a website is not as useful asmeasuring the number of new viewers.\n▶Demoralization. If measures and goals are set that are not achievable, project team\nmorale may fall as they continuously fail to meet targets. Setting stretch goals andaspirational measures is acceptable, but people also want to see their hard workrecognized. Unrealistic or unachievable goals can be counterproductive.\n▶Misusing the metrics. Regardless of the metrics used to measure performance, there\nis the opportunity for people to distort the measurements or focus on the wrong thing.Examples include:\n▹Focusing on less important metrics rather than the metrics that matter most,\n▹Focusing on performing well for the short-term measures at the expense of long-term\nmetrics, and\n▹Working on out-of-sequence activities that are easy to accomplish in order to improve\nperformance indicators.\n▶Confirmation bias. As human beings, we tend to look for and see information that\nsupports our preexisting point of view. This can lead us to false interpretations of data.\n▶Correlation versus causation. A common mistake in interpreting measurement data\nis confusing the correlation of two variables with the idea that one causes the other.For example", + "chunk_order_index": 60, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-4d26177fd7a4b5997a15397ff36405f5": { + "tokens": 1200, + "content": "expense of long-term\nmetrics, and\n▹Working on out-of-sequence activities that are easy to accomplish in order to improve\nperformance indicators.\n▶Confirmation bias. As human beings, we tend to look for and see information that\nsupports our preexisting point of view. This can lead us to false interpretations of data.\n▶Correlation versus causation. A common mistake in interpreting measurement data\nis confusing the correlation of two variables with the idea that one causes the other.For example, seeing projects that are behind schedule and over budget might infer thatprojects that are over budget cause schedule issues. This is not true, nor is it true thatprojects that are behind schedule cause budget overruns. Instead, there are likely othercorrelating factors that are not being considered, such as skill in estimating, the ability\nto manage change, and actively managing risk.\nBeing aware of the pitfalls associated with metrics can help with establishing effective metrics \nin addition to being vigilant regarding the dangers associated with inappropriate measures.\nPMI Seventh Edition July 2021113\nSection 2 – Project Performance Domains2.7.5 TROUBLESHOOTING PERFORMANCE\nPart of measurement is having agreed to plans for measures that are outside the threshold \nranges. Thresholds can be established for a variety of metrics such as schedule, budget, velocity, and \nother project-specific measures. The degree of variance will depend on stakeholder risk tolerances.\nFigure 2-31 shows an example of a budget threshold set at +10% (orange) and -20% (green) of \nthe predicted spend rate. The blue line is tracking the actual spend, and in January, it exceeded the +10% upper tolerance that would trigger the exception plan.\nIdeally, project teams should not wait until a threshold has been breached before taking action. \nIf a breach can be forecasted via a trend or new information, the project team can be proactive in addressing the expected variance.Planned and Actual Spend with T olerances\n$300,000\n$250,000$200,000$150,000$100,000\n$50,000\n$0\nJun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Planned\nUpper + 10%Lower – 20%Actuals\nFigure 2-31. Planned and Actual Spend Rates\nPMI Seventh Edition July 2021114\nPMBOK® GuideAn exception plan is an agreed-upon set of actions to be taken if a threshold is crossed or \nforecast. Exception plans do not have to be formal; they can be as simple as calling a stakeholder \nmeeting to discuss the matter. The importance of the exception plan is to discuss the issue and develop a plan for what needs to be done. Then follow through to make sure the plan is implemented and determine if the plan is working.\n2.7.6 GROWING AND IMPROVING\nThe intent in measuring and displaying data is to learn and improve. To optimize project \nperformance and efficiency, only measure and report information that will:\n▶Allow the project team to learn,\n▶Facilitate a decision,\n▶Improve some aspect of the product or project performance,\n▶Help avoid an issue, and\n▶Prevent performance deterioration.\nApplied appropriately, measurements facilitate the project team’s ability to generate business \nvalue and achieve the project objectives and performance targets.\n2.7.7 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Measurement Performance Domain interacts with the Planning, Project Work, and \nDelivery Performance Domains as plans form the basis for comparing the deliveries to plan. The Measurement Performance Domain can support the activities that are part of the Planning Performance Domain by presenting up-to-date information so that lessons learned can reflect favorable or unfavorable information for updating plans. The Team and Stakeholder Performance Domains interact as project team members develop the plans and create the deliverables and deliveries that are measured.\nPMI Seventh Edition July 2021115\nSection 2 – Project Performance DomainsAs unpredictable events occur, both positive and negative, they have an impact on the project \nperformance and therefore on the project measurements and metrics. Responding to changes \ncaused by uncertain events that have occurred includes updating measurements that have been impacted due to the change. Activities in the Uncertainty Performance Domain, such as identifying risks and opportunities, can be initiated based on performance measurements.\nPart of the project work is working with the project team and other stakeholders to establish \nthe metrics, gather the data, analyze the data, make decisions, and report on project status.\n2.7.8 CHECKING RESULTS\nTable 2-9 identifies the outcomes from effective application of the Measurement Performance \nDomain on the left and ways of checking them on the right.\nTable 2-9. Checking Outcomes—Measurement Performance Domain\nOutcome Check\nA reliable understanding of the \nstatus of the project\nActionable data to facilitate \ndecision making\nTimely and appropriate actions to \nkeep project performance on track\nAchieving targets and generating \nbusiness value by making informed \nand timely decisions based on reliable forecasts and ev aluationsAudit measurements and reports demonstrate if data is reliable.\nMeasurements indicate whether the project is performing as expected or if \nthere are variances.\nMeasurements provide leading indicators and/or current status leads to \ntimely decisions and actions.\nReviewing past forecasts and current performance demonstrates if previous \nforecasts reflect the present accurately . Comparing the actual performance to \nthe planned performance and ev aluating business documents will show the \nlikelihood of achieving intended value from the project.\nPMI Seventh Edition July 2021116\nPMBOK® Guide2.8 UNCERTAINTY PERFORMANCE DOMAIN\nProjects exist in environments with varying degrees of uncertainty. Uncertainty presents threats \nand opportunities that project teams explore, assess, and decide how to handle.UNCERTAINTY PERFORMANCE DOMAIN\nAn", + "chunk_order_index": 61, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-ae9c21d4ecd6bcce42c9b3b4ade03bdc": { + "tokens": 1200, + "content": "forecasts reflect the present accurately . Comparing the actual performance to \nthe planned performance and ev aluating business documents will show the \nlikelihood of achieving intended value from the project.\nPMI Seventh Edition July 2021116\nPMBOK® Guide2.8 UNCERTAINTY PERFORMANCE DOMAIN\nProjects exist in environments with varying degrees of uncertainty. Uncertainty presents threats \nand opportunities that project teams explore, assess, and decide how to handle.UNCERTAINTY PERFORMANCE DOMAIN\nAn awareness of the environment in which projects occur, \nincluding , but not limited to, the technical, social, political, \nmarket, and economic en vironments.\nProactiv ely exploring and responding to unce rtainty.\nAn awareness of the interdependence of multiple v ariables \non the project.\nThe capacity to anticipate threats and opportunities and \nunderstand the consequences of issues.\nProject deliv ery with little or no nega tive impact from \nunforeseen events or conditions.\nOppor tunities are realized to improve project perfor mance \nand outcomes.Cost and schedule reserves are utilized effectively to \nmaintain alignment with project objectiv es.The Uncer tainty \nPerformance Domain \naddresses activities and \nfunctions associated with risk and uncer tainty .Effective execution of this performance domain results in the \nfollowing desired outcomes:\nFigure 2-32. Uncertainty Performance Domain\nPMI Seventh Edition July 2021117\nSection 2 – Project Performance Domains\nThe following definitions are relevant to the Uncertainty Performance Domain:\nUncertainty. A lack of understanding and awareness of issues, events, paths to follow, \nor solutions to pursue.\nAmbiguity.\n A state of being unclear, having difficulty in identifying the cause of events, or \nhaving multiple options from which to choose.Complexity. A characteristic of a program or project or its environment that is difficult to \nmanage due to human behavior, system behavior, and ambiguity.Volatility. The possibility for rapid and unpredictable change.\nRisk. An uncertain event or condition that, if it occurs, has a positive or negative effect on one \nor more project objectives.\n \nUncertainty in the broadest sense is a state of not knowing or unpredictability. There are many \nnuances to uncertainty, such as:\n▶Risk associated with not knowing future events,\n▶Ambiguity associated with not being aware of current or future conditions, and\n▶Complexity associated with dynamic systems having unpredictable outcomes.\nPMI Seventh Edition July 2021118\nPMBOK® GuideSuccessfully navigating uncertainty begins with understanding the larger environment within \nwhich the project is operating. Aspects of the environment that contribute to project uncertainty \ninclude, but are not limited to:\n▶Economic factors such as volatility in prices, availability of resources, ability to borrow\nfunds, and inflation/deflation;\n▶Technical considerations such as new or emerging technology, complexity associated with\nsystems, and interfaces;\n▶Legal or legislative constraints or requirements;\n▶Physical environment as it pertains to safety, weather, and working conditions;\n▶Ambiguity associated with current or future conditions;\n▶Social and market influences shaped by opinion and media; and,\n▶Political influences, either external or internal to the organization.\nThis performance domain addresses the various aspects of uncertainty, implications of \nuncertainty, such as project risk, as well as options for navigating the various forms of uncertainty.\nPMI Seventh Edition July 2021119\nSection 2 – Project Performance Domains2.8.1 GENERAL UNCERTAINTY\nUncertainty is inherent in all projects. For this reason, the effects of any activity cannot be \npredicted precisely, and a range of outcomes can occur. Potential outcomes that benefit the project \nobjectives are known as opportunities; potential outcomes that have a negative effect on objectives are called threats. Together, the set of opportunities and threats comprise the set of project risks. There are several options for responding to uncertainty:\n▶Gather information. Sometimes uncertainty can be reduced by finding out more\ninformation, such as conducting research, engaging experts, or performing a marketanalysis. It is also important to recognize when further information collection and analysisexceed the benefit of having the additional information.\n▶Prepare for multiple outcomes. In situations where there are only a few possible\noutcomes from an area of uncertainty, the project team can prepare for each of thoseoutcomes. This entails having a primary solution available, as well as having backup orcontingency plans in case the initial solution is not viable or effective. Where there is a largeset of potential outcomes, the project team can categorize and assess the potential causesto estimate their likelihood of occurrence. This allows the project team to identify the mostlikely potential outcomes on which to focus.\n▶Set-based design. Multiple designs or alternatives can be investigated early in the project\nto reduce uncertainty. This allows the project team to look at trade-offs, such as time versuscost, quality versus cost, risk versus schedule, or schedule versus quality. The intention is toexplore options so the project team can learn from working with the various alternatives.Ineffective or suboptimal alternatives are discarded throughout the process.\n▶Build in resilience. Resilience is the ability to adapt and respond quickly to unexpected\nchanges. Resilience applies to both project team members and organizational processes.\nIf the initial approach to product design or a prototype is not effective, the project team\nand the organization need to be able to learn, adapt, and respond quickly.\nPMI Seventh Edition July 2021120\nPMBOK® Guide2.8.2 AMBIGUITY\nThere are two categories of ambiguity: conceptual ambiguity and situational ambiguity. \nConceptual ambiguity—the lack of effective understanding—occurs when people use similar terms \nor arguments in different ways. For example, the statement, “The schedule was reported on track last", + "chunk_order_index": 62, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-f90813fa1ecc7a0cb8bba805a81bbf9c": { + "tokens": 1200, + "content": "effective, the project team\nand the organization need to be able to learn, adapt, and respond quickly.\nPMI Seventh Edition July 2021120\nPMBOK® Guide2.8.2 AMBIGUITY\nThere are two categories of ambiguity: conceptual ambiguity and situational ambiguity. \nConceptual ambiguity—the lack of effective understanding—occurs when people use similar terms \nor arguments in different ways. For example, the statement, “The schedule was reported on track last week,” is not clear. It isn’t clear whether the schedule was on track last week or whether it was reported on last week. In addition, there could be some question as to what “on track” means. Ambiguity of this type can be reduced by formally establishing common rules and definitions of terms, such as what does “on track” mean.\nSituational ambiguity surfaces when more than one outcome is possible. Having multiple \noptions to solve a problem is a form of situational ambiguity. Solutions for exploration of ambiguity include progressive elaboration, experimentation, and the use of prototypes.\n▶Progressive elaboration. This is the iterative process of increasing the level of detail\nin a project management plan as greater amounts of information and more accurateestimates become available.\n▶Experiments. A well-designed series of experiments can help identify cause-and-effect\nrelationships or, at least, can reduce the amount of ambiguity.\n▶Prototypes. Prototypes can help distinguish the relationships between different variables.\n2.8.3 COMPLEXITY\nComplexity is a characteristic of a program, project, or its environment, which is difficult to \nmanage due to human behavior, system behavior, or ambiguity. Complexity exists when there are many interconnected influences that behave and interact in diverse ways. In complex environments, it is not uncommon to see an aggregation of individual elements leading to unforeseen or unintended outcomes. The effect of complexity is that there is no way of making accurate predictions about the likelihood of any potential outcome or even of knowing what outcomes might emerge. There are numerous ways to work with complexity; some of them are systems-based, some entail reframing, and others are based on process.\nPMI Seventh Edition July 2021121\nSection 2 – Project Performance Domains2.8.3.1 Systems-Based\nExamples of working with complexity that is systems based include:\n▶Decoupling. Decoupling entails disconnecting parts of the system to both simplify the\nsystem and reduce the number of connected variables. Determining how a piece of a\nsystem works on its own reduces the overall size of the problem.\n▶Simulation. There may be similar though unrelated scenarios that can be used to\nsimulate components of a system. A project to build a new airport that includes an areawith shopping and restaurants can learn about consumer buying habits by seeking outanalogous information on shopping malls and entertainment establishments.\n2.8.3.2 Reframing\nExamples of working with complexity that entail reframing are:\n▶Diversity. Complex systems require viewing the system from diverse perspectives. This\ncan include brainstorming with the project team to open up divergent ways of seeing thesystem. It can also include Delphi-like processes to move from divergent to convergentthinking.\n▶Balance. Balancing the type of data used rather than only using forecasting data or datathat report on the past or lagging indicators provides a broader perspective. This caninclude using elements whose variations are likely to counteract each other's potentialnegative effects.\n2.8.3.3 Process-Based\nExamples of working with complexity that is process based include:\n▶Iterate. Build iteratively or incrementally. Add features one at a time. After each\niteration, identify what worked, what did not work, customer reaction, and what the\nproject team learned.\n▶Engage. Build in opportunities to get stakeholder engagement. This reduces the number\nof assumptions and builds learning and engagement into the process.\n▶Fail safe. For elements of a system that are critical, build in redundancy or elements that can\nprovide a graceful degradation of functionality in the event of a critical component failure.\nPMI Seventh Edition July 2021122\nPMBOK® Guide2.8.4 VOLATILITY\nVolatility exists in an environment that is subject to rapid and unpredictable change. Volatility \ncan occur when there are ongoing fluctuations in available skill sets or materials. Volatility usually \nimpacts cost and schedule. Alternatives analysis and use of cost or schedule reserve address volatility.\n▶Alternatives analysis. Finding and evaluating alternatives, such as looking at different\nways to meet an objective, such as using a different mix of skills, resequencing work,or outsourcing work. Alternatives analysis may include identifying the variables to beconsidered in evaluating options, and the relative importance or weight of each variable.\n▶Reserve. Cost reserve can be used to cover budget overruns due to price volatility. In some\ncircumstances, schedule reserve can be used to address delays due to volatility associatedwith resource availability.\nEffectively navigating uncertainty, ambiguity, complexity, and volatility improves the ability \nto anticipate situations, make good decisions, plan, and solve problems.\n2.8.5 RISK\nRisks are an aspect of uncertainty. A risk is an uncertain event or condition that, if it occurs, has \na positive or negative effect on one or more project objectives. Negative risks are called threats, and \npositive risks are called opportunities. All projects have risks since they are unique undertakings with \nvarying degrees of uncertainty.\nProject team members should proactively identify risks throughout the project to avoid or \nminimize the impacts of threats and trigger or maximize the impacts of opportunities. Both threats \nand opportunities have a set of possible response strategies that can be planned for implementation \nshould the risk occur.\nIn order to navigate risk effect ively, the project", + "chunk_order_index": 63, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-4ad34b4364c38715068dd353f3620bcb": { + "tokens": 1200, + "content": "more project objectives. Negative risks are called threats, and \npositive risks are called opportunities. All projects have risks since they are unique undertakings with \nvarying degrees of uncertainty.\nProject team members should proactively identify risks throughout the project to avoid or \nminimize the impacts of threats and trigger or maximize the impacts of opportunities. Both threats \nand opportunities have a set of possible response strategies that can be planned for implementation \nshould the risk occur.\nIn order to navigate risk effect ively, the project team needs to know what level of risk exposure \nis acceptable in pursuit of the project objectives. This is defined by measurable risk thresholds that \nreflect the risk appetite and at titude of the organization and pro ject stakeholders. Risk thresholds \nexpress the acceptable variation around an objective that reflects the risk appetite of the organization \nand stakeholders. Thresholds are typically stated and communicated to the project team and reflected \nin the definitions of risk impact levels for the project.\nPMI Seventh Edition July 2021123\nSection 2 – Project Performance Domains2.8.5.1 Threats\nA threat is an event or condition that, if it occurs, has a negative impact on one or more \nobjectives. Five alternative strategies may be considered for dealing with threats, as follows:\n▶Avoid. Threat avoidance is when the project team acts to eliminate the threat or protect\nthe project from its impact.\n▶Escalate. Escalation is appropriate when the project team or the project sponsor agrees\nthat a threat is outside the scope of the project or that the proposed response wouldexceed the project manager’s authority.\n▶Transfer. Transfer involves shifting ownership of a threat to a third party to manage the\nrisk and to bear the impact if the threat occurs.\n▶Mitigate. In threat mitigation, action is taken to reduce the probability of occurrence and/or impact of a threat. Early mitigation action is often more effective than trying to repair thedamage after the threat has occurred.\n▶Accept. Threat acceptance acknowledges the existence of a threat, but no proactive\naction is planned. Actively accepting a risk can include developing a contingency plan thatwould be triggered if the event occurred; or it can include passive acceptance, which meansdoing nothing.\nOverall Project Risk\nOverall project risk is the effect of uncertainty on the project as a whole, arising from all sources of uncertainty. This includes individual risks and the exposure to the implications of variation in project outcome, both positive and negative. Overall risk is often a function of complexity, ambiguity, and volatility. Responses to overall project risk are the same as for individual threats and opportunities, though responses are applied to the overall project rather than to a specific event. \nIf the overall risk on the project is too high, the organization may choose to cancel the project. \nPMI Seventh Edition July 2021124\nPMBOK® GuideA response to a specific threat might include multiple strategies. For example, if the threat \ncannot be avoided, it may be mitigated to a level at which it becomes viable to transfer or to accept it.\nThe goal of implementing threat responses is to reduce the amount of negative risk. Risks that \nare accepted sometimes are reduced simply by the passage of time or because the risk event does \nnot occur. Figure 2-33 shows how risks are tracked and reduced over time.\nThreat ProfileCumulative Risk30\n25201510\n50\nJan Feb Mar AprPermits obtained\nSite not ready in time\nEarly road thawProduction reser ve\nPump capacityJan \nShort Risk NameIDFebM ar Apr\n0\n0029000133232300249001233222360366201323232394643322213232312345Permits obtained\nSite not ready in timeEarly road tha w\nProduction reser ve\nPump capacityProbability Impact Severity Probability Impact Severity Probability Impact Severity Probability Impact Severity\nFigure 2-33. Risk Reduction over Time\nPMI Seventh Edition July 2021125\nSection 2 – Project Performance Domains2.8.5.2 Opportunities\nAn opportunity is an event or condition that, if it occurs, has a positive impact on one or more \nproject objectives. An example of an opportunity could be a time and materials-based subcontractor \nwho finishes work early, resulting in lower costs and schedule savings.\nFive alternative strategies may be considered for dealing with opportunities, as follows:\n▶Exploit. A response strategy whereby the project team acts to ensure that an opportunityoccurs.\n▶Escalate. As with threats, this opportunity response strategy is used when the project team\nor the project sponsor agrees that an opportunity is outside the scope of the project or thatthe proposed response would exceed the project manager’s authority.\n▶Share. Opportunity sharing involves allocating ownership of an opportunity to a third party\nwho is best able to capture the benefit of that opportunity.\n▶Enhance. In opportunity enhancement, the project team acts to increase the probability\nof occurrence or impact of an opportunity. Early enhancement action is often moreeffective than trying to improve the opportunity after it has occurred.\n▶Accept. As with threats, accepting an opportunity acknowledges its existence but noproactive action is planned.\nOnce a set of risk responses has been developed, it should be reviewed to see whether the \nplanned responses have added any secondary risks. The review should also assess the residual risk that will remain once the response actions have been carried out. Response planning should be repeated until residual risk is compatible with the organization's risk appetite.\nPMI Seventh Edition July 2021126\nPMBOK® Guide\nTaking an economic view of work prioritization allows the team to prioritize threat avoidance \nand reduction activities.\nComparing the expected monetary value (EMV) of a risk to the anticipated return on investment \n(ROI) of a deliverable or feature allows the project manager to have conversations with sponsors or product owners about where and when to incorporate risks responses", + "chunk_order_index": 64, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-6c88d19dbcd069cdd903055e606dac2c": { + "tokens": 1200, + "content": "planning should be repeated until residual risk is compatible with the organization's risk appetite.\nPMI Seventh Edition July 2021126\nPMBOK® Guide\nTaking an economic view of work prioritization allows the team to prioritize threat avoidance \nand reduction activities.\nComparing the expected monetary value (EMV) of a risk to the anticipated return on investment \n(ROI) of a deliverable or feature allows the project manager to have conversations with sponsors or product owners about where and when to incorporate risks responses into the planned work (see Figure 2-34).\n20%\nBest\nCaseEMV of\nImpactWorst\nCase0%\n–5%Risk\nImpactROI\nFigure 2-34. Risk-Adjusted ROI Curve \nPMI Seventh Edition July 2021127\nSection 2 – Project Performance Domains2.8.5.3 Management and Contingency Reserve\nReserve is an amount of time or budget set aside to account for handling risks. Contingency \nreserve is set aside to address identified risks should they occur. Management reserve is a budget \ncategory used for unknown events such as unplanned, in-scope work.\n2.8.5.4 Risk Review\nEstablishing a frequent rhythm or cadence of review and feedback sessions from a broad \nselection of stakeholders is helpful for navigating project risk and being proactive with risk responses.\nDaily standup meetings can be used in any project and are a source for identifying potential \nthreats and opportunities. Reports of blockers or impediments could become threats if they continue to delay progress. Likewise, reports of progress and breakthroughs might point toward opportunities to be further leveraged and shared.\nFrequent demonstrations of increments of the product or service, interim designs, or proof \nof concepts can surface threats and opportunities. Negative feedback from demonstrations or design reviews can be an early indicator of threats related to dissatisfaction from stakeholders if not corrected. Positive feedback helps inform the project team regarding the areas of development highly valued by the business representatives.\nAddressing risk at weekly status meetings ensures that risk management remains relevant. \nThese meetings can be used to identify new risks as well as identify changes to existing risks.\nRetrospectives and lessons learned meetings can be used to identify threats to performance, \nproject team cohesion, etc., and to seek improvements. They can also help identify practices to try different ways to exploit and enhance opportunities.\nPMI Seventh Edition July 2021128\nPMBOK® Guide2.8.6 INTERACTIONS WITH OTHER PERFORMANCE DOMAINS\nThe Uncertainty Performance Domain interacts with the Planning, Project Work, Delivery, and \nMeasurement Performance Domains from the product or deliverable perspective. As planning is \nconducted, activities to reduce uncertainty and risks can be built into the plans. These are carried out in the Delivery Performance Domain. Measurements can indicate if the risk level is changing over time.\nProject team members and other stakeholders are the main sources of information regarding \nuncertainty. They can provide information, suggestions, and assistance in working with all the various forms of uncertainty.\nThe choice of life cycle and development approach impact how uncertainty will be addressed. \nOn a predictive project where the scope is relatively stable, reserve in the schedule and budget can be used to respond to risks. On a project using an adaptive approach where the requirements are likely to evolve and where there may be ambiguity around how systems will interact or how stakeholders will react, the project team can adjust plans to reflect evolving understanding or use reserves to offset the impacts of realized risks.\nPMI Seventh Edition July 2021129\nSection 2 – Project Performance Domains2.8.7 CHECKING RESULTS\nTable 2-10 identifies the outcomes on the left and ways of checking them on the right.\nTable 2-10. Checking Outcomes—Uncertainty Performance Domain\nOutcome Check\nAn awareness of the environment in \nwhich projects occur , including , but \nnot limited to, the technical, social, political, market, and economic environments\nProactively exploring and \nresponding to uncertainty\nAn awareness of the interdepen-\ndence of multiple variables on the project\nThe capacity to anticipate threats \nand opportunities and understand the consequences of issues\nProject delivery with little or no \nnegative impact from unforeseen events or conditions\nRealized opportunities to improve \nproject performance and outcomesCost and schedule reserves used \neffectively to maintain alignment with project objectivesThe team incorporates environmental considerations when ev aluating \nuncertainty , risks, and responses.\nRisk responses are aligned with the prioritization of project constraints, such as budget, schedule, and performance.\nActions to address complexity , ambiguity , and volatility are appropriate for \nthe project.\nSystems for identifying , capturing , and responding to risk are appropriately \nrobust.Scheduled delivery dates are met, and the budget performance is within the \nvariance threshold.\nTeams use established mechanisms to identify and leverage opportunities.Teams take steps to proactively prevent threats, thereby limiting use of cost \nor schedule reser ve.\nPMI Seventh Edition July 2021PMI Seventh Edition July 20211313\nTailoring\n3.1 OVERVIEW\nTailoring is the deliberate adaptation of the project management approach, governance, and \nprocesses to make them more suitable for the given environment and the work at hand.\nIn a project env ironment, tailoring considers the development approach, processes , project \nlife cycle, deliverables, and c hoice of people wi th whom to engage . The tailoring process is driv en by \nthe guiding pro ject management principles in The Standard for Pro ject Management [1], organizational \nvalues, and organizational culture. For instance, if a core organizational value is “customer cent ricity,” \nthen the activi ties selected for requirements elicitation and scope validation favo r customer-cent ered \napproaches. This aligns with the principle of “Effectively engage with stakeholders .” Likewise, an \norganization wit h a low appetite for risk may have", + "chunk_order_index": 65, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d7a7f0519b0fb0e5453bae9e8322cb79": { + "tokens": 1200, + "content": "tailoring process is driv en by \nthe guiding pro ject management principles in The Standard for Pro ject Management [1], organizational \nvalues, and organizational culture. For instance, if a core organizational value is “customer cent ricity,” \nthen the activi ties selected for requirements elicitation and scope validation favo r customer-cent ered \napproaches. This aligns with the principle of “Effectively engage with stakeholders .” Likewise, an \norganization wit h a low appetite for risk may have many processes and procedures to guide projects \nthroughout their life cycles. A similar company operating in the same market—but with a high tolerance \nfor risk—may have fewer proc esses and procedures. In both of these e xamples, the organizations \nare aligned with the principle o f “Optimize risk responses” even t hough their appetite, processes, and \nprocedures are different.\nTailoring entails the mindful selection and adjustment of multiple project factors, regardless \nof whether the label of “tailoring” is used.\nPMI Seventh Edition July 2021132\nPMBOK® GuideTailoring involves understanding the project context, goals, and operating environment. Projects \noperate in complex environments that need to balance potentially competing demands that include, \nbut are not limited to:\n▶Delivering as quickly as possible,\n▶Minimizing project costs,\n▶Optimizing the value delivered,\n▶Creating high-quality deliverables and outcomes,\n▶Providing compliance with regulatory standards,\n▶Satisfying diverse stakeholder expectations, and\n▶Adapting to change.\nThe alternative to tailoring is using an unmodified framework or methodology. There are many \nmethodologies available that provide descriptions of processes, phases, methods, artifacts, and templates to be used in projects. These methodologies and their components are not customized to the organizational context.\nMost of these methodologies have clear instructions stating they should not be applied rigorously \nbut should be subject to a process of tailoring to determine which elements are most useful given the particular type, size, and complexity of the project. Some inexperienced practitioners try to apply the methodology verbatim without regard to project size, complexity, duration, or organizational context. \nPMI Seventh Edition July 2021133\nSection 3 – TailoringThese factors need to be understood, evaluated, and balanced to create a practical operating \nenvironment for the project.\nThere may be situations that limit the degree to which project teams can tailor their approach, \nfor example, when organizational policies mandate the use of a specific approach or a contract \nspecifies a mandated approach.\n3.2 WHY TAILOR?\nTailoring is performed to better suit the organization, operating environment, and project needs. \nMany variables factor into the tailoring process, including the criticality of the project and the number of stakeholders involved. Using these variables as an example, it is evident that the rigor, checks and balances, and reporting required for a critical project (e.g., building a nuclear reactor) are much greater than those for building a new office building.\nLikewise, the communication and coordination of work necessary for a project team of \n10 people is insufficient for a project team of 200 people. Too few processes can omit key activities that support effective project management, while employing more processes than required is costly and wasteful. Thus, tailoring facilitates appropriate management for the operating environment and the project needs.\nThe structure used to deliver projects can be extensive or minimal, rigorous or lightweight, \nrobust or simple. There is no single approach that can be applied to all projects all of the time. Instead, tailoring should reflect the size, duration, and complexity of each individual project and should be adapted to the industry, organizational culture, and level of project management maturity of the organization.\nTailoring produces direct and indirect benefits to organizations. These include, but are not \nlimited to:\n▶More commitment from project team members who helped to tailor the approach,\n▶Customer-oriented focus, as the needs of the customer are an important influencing factor\nin its development, and\n▶More efficient use of project resources.\nPMI Seventh Edition July 2021134\nPMBOK® Guide3.3 WHAT TO TAILOR\nProject aspects that can be tailored include:\n▶Life cycle and development approach selection,\n▶Processes,\n▶Engagement,\n▶Tools, and\n▶Methods and artifacts.\nSections 3.3.1 through 3.3.4 explore each of these in more detail.\n3.3.1 LIFE CYCLE AND DEVELOPMENT APPROACH SELECTION\nDeciding on a life cycle and the phases of the life cycle is an example of tailoring. Additional \ntailoring can be done when selecting the development and delivery approach for the project. Some \nlarge projects may use a combination of development and delivery approaches simultaneously. For instance, building a new data center could involve (a) the use of predictive approaches for the physical building construction and finishing and (b) an iterative approach for understanding and establishing the computing capabilities required. Viewed from a project level, this combination of approaches represents a hybrid approach, but the construction team and the computing team may only experience a predictive or iterative development approach.\nPMI Seventh Edition July 2021135\nSection 3 – Tailoring3.3.2 PROCESSES\nProcess tailoring for the selected life cycle and development approach includes determining \nwhich portions or elements should be:\n▶Added, to bring required rigor, coverage, or address unique product or operating environment\nconditions, etc. (e.g., adding independent inspections for safety-critical projects);\n▶Modified, to better suit the project or project team requirements (e.g., modifying\nthe format of project documents to accommodate project team members with\nvision limitations);\n▶Removed, to reduce cost or effort since it is no longer required or is not economical\nfor the value it adds (e.g., removing the creation of meeting minutes for a small, colocated\nproject team with good communications", + "chunk_order_index": 66, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-40190ed38fc930b560dfcd36d953bdf4": { + "tokens": 1200, + "content": "or operating environment\nconditions, etc. (e.g., adding independent inspections for safety-critical projects);\n▶Modified, to better suit the project or project team requirements (e.g., modifying\nthe format of project documents to accommodate project team members with\nvision limitations);\n▶Removed, to reduce cost or effort since it is no longer required or is not economical\nfor the value it adds (e.g., removing the creation of meeting minutes for a small, colocated\nproject team with good communications);\n▶Blended, to bring additional benefits or value by mixing or combining elements (e.g., adding\nappreciative inquiry methods from organizational management to the lessons learnedmeetings of predictive project management to help foster better collaboration); and\n▶Aligned, to harmonize elements so there is consistent definition, understanding, and\napplication (e.g., many disciplines have standards and practices associated with riskmanagement that are sufficiently different from each other that would need to be aligned).For example, on multidisciplinary project teams, different disciplines may have specificelements, such as their own language, tools, and practices related to the same area of focus.\nPMI Seventh Edition July 2021136\nPMBOK® Guide3.3.3 ENGAGEMENT\nTailoring engagement for the people involved in the project includes:\n▶People. This entails evaluating the skills and capabilities of the project leadership and the\nproject team; then selecting who should be involved and in what capacities based on the\nproject type and operating conditions. For example, on a challenging or time-constrainedproject, assigning very experienced project team members is more logical than usinginexperienced project team members.\n▶Empowerment. Empowerment involves choosing which responsibilities and forms of\nlocal decision making should be deferred to the project team. Some environments andteam member capabilities support high levels of empowerment. In other situations, lessempowerment with more supervision and direction might be preferable.\n▶Integration. Project teams can include contributors from contracted entities, channel\npartners, and other external entities in addition to staff from inside the sponsoringorganization. Tailoring considers how to create one project team from a diverse\ncollection of contributors to facilitate optimal project team performance and realization\nof project outcomes.\n3.3.4 TOOLS\nSelecting the tools (e.g., software or equipment) the project team will use for the project \nis a form of tailoring. Often, the project team has the best insight into the most suitable tools for \nthe situation, but those choices might need tempering based on the associated costs. Additionally, \norganizational leaders can impose constraints that the project team cannot change.\n3.3.5 METHODS AND ARTIFACTS\nTailoring the means that will be used to achieve the project outcomes is performed so that the \nmethods are suited for the environment and the culture. Tailoring the documents, templates, and \nother artifacts that will be used on the project helps to make sure the artifacts are appropriate for the \nproject and the organization. Section 4 contains numerous examples of methods and artifacts that \ncan be considered when tailoring methods and artifacts.\nPMI Seventh Edition July 2021137\nSection 3 – Tailoring3.4 THE TAILORING PROCESS\nAs noted in Section 2.5 of The Standard for Project Management [1], projects exist in environments \nthat may have an influence on them. Prior to tailoring, the project environment needs to be analyzed \nand understood. Tailoring typically begins by selecting a development and delivery approach, tailoring it for the organization, tailoring it for the project, and then implementing its ongoing improvement. These steps in the process are shown in Figure 3-1 and described in more detail in Sections 3.4.1 through 3.4.4 of this guide.\nChoose a\ndevelopment\napproach best\nsuited for\nthe endea vorModify based on\norganizational\nmodificationsAdjust based on\nsize, criticality ,\nand other factor sInspect\nand adapt\n1) Select Initial\nDevelopment\nApproach2) Tailor for\nOrganization\n3) Tailor for\nProject4) Implement\nOng\noing\nImprovement\nFigure 3-1. Details of the Steps in the Tailoring Process\nPMI Seventh Edition July 2021138\nPMBOK® Guide3.4.1 SELECT INITIAL DEVELOPMENT APPROACH\nThis step determines the development approach that will be used for the project. Project teams \napply their knowledge of the product, delivery cadence, and awareness of the available options to \nselect the most appropriate development approach for the situation. Selecting the initial approach is depicted in Figure 3-2.\nA suitability filter tool helps project teams consider whether a project has characteristics \nthat lend themselves toward a predictive, hybrid, or adaptive approach. The suitability filter is an informational tool that combines its assessment with other data and decision-making activities so that the tailored approach is appropriate for each project. By evaluating criteria based on culture, project team, and project factors, a suitability filter generates a diagnostic visual that can be helpful in discussing and deciding on the initial approach.Figure 3-2. Selecting the Initial Development Approach\nPMI Seventh Edition July 2021139\nSection 3 – Tailoring3.4.2 TAILOR FOR THE ORGANIZATION\nWhile project teams own and improve their processes, organizations often require some level \nof approval and oversight. Many organizations have a project methodology, general management \napproach, or general development approach that is used as a starting point for their projects. These guides are intended to support such things as repeatable processes, consistent measures of the organization’s project capabilities, and continuous improvement of those capabilities. Organizations that have established process governance need to ensure tailoring is aligned to policy. To demonstrate that the project team’s tailoring decisions do not threaten the organization’s larger strategic or stewardship goals, project teams", + "chunk_order_index": 67, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-554ad5a189000609af98f86d63cf41ff": { + "tokens": 1200, + "content": "of approval and oversight. Many organizations have a project methodology, general management \napproach, or general development approach that is used as a starting point for their projects. These guides are intended to support such things as repeatable processes, consistent measures of the organization’s project capabilities, and continuous improvement of those capabilities. Organizations that have established process governance need to ensure tailoring is aligned to policy. To demonstrate that the project team’s tailoring decisions do not threaten the organization’s larger strategic or stewardship goals, project teams may need to justify using a tailored approach.\nAdditional constraints for tailoring for the organization include large, safety-critical projects and \nprojects performed under contract. Large, safety-critical project tailoring suggestions may require additional oversight and approval to help prevent errors, loss, or subsequent issues. Projects that are performed under contract may have contract terms that specify the use of a particular life cycle, delivery approach, or methodology.\nThe tailoring process shown in Figure 3-3 uses factors such as project size, criticality, \norganizational maturity, and other considerations.\nFigure 3-3. Tailoring the Approach for the Organization\nPMI Seventh Edition July 2021140\nPMBOK® GuideTailoring for the organization involves adding, removing, and reconfiguring elements of the \napproach to make it more suitable for the individual organization. This process is shown in Figure 3-4.\nOrganizations with a project management office (PMO) or value delivery office (VDO) may play \na role in reviewing and approving tailored delivery approaches.\nTailoring that only impacts the project team (e.g., when they hold internal meetings, who works \nwhere, etc.) requires less oversight than tailoring that impacts external groups (e.g., how and when \nother departments are engaged, etc.). Therefore, internal project tailoring might be approved by the project manager while tailoring changes that impact external groups may require approval by the PMO or VDO. The PMO or VDO can assist project teams as they tailor their approaches by providing ideas and solutions from other project teams.Tailoring at the\nOrganizational\nLevel\nTailoring at the\nProject LevelA General\nProject\nManagement\nMethodologyA General\nDevelopment\nApproach\nOrganization’s\nMethodology for\nSmall ProjectsOrganization’s\nMethodology for\nLarge/Sensitive\nProjects\nMethodology for\nProject AMethodology for\nProject BMethodology for\nProject CMethodology for\nProject DMethodology for\nProject EModels,\nMethods,\nand\nArtifactsGeneral\nGuidesEnvironmental\nFactors\nFigure 3-4. Assessing the Organizational and Project Factors When Tailoring\nPMI Seventh Edition July 2021141\nSection 3 – Tailoring3.4.3 TAILOR FOR THE PROJECT\nMany attributes influence tailoring for the project. These include, but are not limited to:\n▶Product/deliverable,\n▶Project team, and\n▶Culture.\nThe project team should ask questions about each attribute to help guide them in the tailoring \nprocess. Answers to these questions can help identify the need to tailor processes, delivery approach, \nlife cycle, tools, methods, and artifacts.\nA VDO may be found in organizations that use more adaptive delivery approaches. The VDO \nserves an enabling role, rather than a management or oversight function. It focuses on coaching project teams; building adaptive skills and capabilities throughout the organization; and mentoring sponsors and product owners to be more effective in those roles.\nPMI Seventh Edition July 2021142\nPMBOK® Guide3.4.3.1 Product/Deliverable\nAttributes associated with the product or deliverable include, but are not limited to:\n▶Compliance/criticality. How much process rigor and quality assurance is appropriate?\n▶Type of product/deliverable. Is the product well known and physical, for example,\nsomething easy to recognize and describe like a building? Or something intangible like\nsoftware or the design of a new drug?\n▶Industry market. What market does the project, product, or deliverable serve? Is that market\nhighly regulated, fast moving, or slow to evolve? What about competitors and incumbents?\n▶Technology. Is the technology stable and well established or rapidly evolving and at risk\nof obsolescence?\n▶Time frame. Is the project time frame short as in weeks or months, or long as in\nseveral years?\n▶Stability of requirements. How likely are there to be changes to core requirements?\n▶Security. Are elements of the product business confidential or classified?\n▶Incremental delivery. Is this something the project team can develop and get stakeholder\nfeedback on incrementally, or something that is hard to evaluate until near completion?\n3.4.3.2 Project Team\nProject team considerations include:\n▶Project team size. How many full-time and part-time people will be working on the project?\n▶Project team geography. Where are the team members predominantly located\ngeographically? Will some or all of the team be remote or colocated?\n▶Organizational distribution. Where are the team’s supporting groups and other\nstakeholders located?\n▶Project team experience. Do the project team members have any experience in the\nindustry, in the organization, or working with each other? Do they have the skills, tools,\nand technology required for the project under consideration?\n▶Access to customer. Is it practical to get frequent and timely feedback from customers\nor customer representatives?\nPMI Seventh Edition July 2021143\nSection 3 – Tailoring3.4.3.3 Culture\nEvaluating the culture includes considerations regarding:\n▶Buy-in. Is there acceptance, support, and enthusiasm for the proposed delivery approach?\n▶Trust. Are there high levels of trust that the project team is capable of and committed to\ndelivering the project outcomes?\n▶Empower", + "chunk_order_index": 68, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-dc8059d6f260b421b479101a38a30657": { + "tokens": 1200, + "content": "customer. Is it practical to get frequent and timely feedback from customers\nor customer representatives?\nPMI Seventh Edition July 2021143\nSection 3 – Tailoring3.4.3.3 Culture\nEvaluating the culture includes considerations regarding:\n▶Buy-in. Is there acceptance, support, and enthusiasm for the proposed delivery approach?\n▶Trust. Are there high levels of trust that the project team is capable of and committed to\ndelivering the project outcomes?\n▶Empowerment. Is the project team trusted, supported, and encouraged to own and\ndevelop its working environment, agreements, and decisions?\n▶Organizational culture. Do the organizational values and culture align with the project\napproach? This includes empowering versus specifying and checking, trusting local decisionmaking versus requesting external decision making, etc.\nThrough the evaluation of these attributes, tailoring decisions around engagement, process, \nand tools can be made for the project. These removals and additions are depicted in Figure 3-5 with an “X” for removals and dotted boxes for the addition of trial processes\nFigure 3-5. Tailoring the Approach for the Project\nPMI Seventh Edition July 2021144\nPMBOK® Guide3.4.3.4 Implement Ongoing Improvement\nThe process of tailoring is not a single, one-time exercise. During progressive elaboration, \nissues with how the project team is working, how the product or deliverable is evolving, and other \nlearnings will indicate where further tailoring could bring improvements. Review points, phase gates, and retrospectives all provide opportunities to inspect and adapt the process, development approach, and delivery frequency as necessary.\nKeeping the project team engaged with improving its process can foster pride of ownership and \ndemonstrate a commitment to implement ongoing improvements and quality. Engaging the project team to find and implement improvements also demonstrates trust in their skills and suggestions along with empowerment. Project team engagement with tailoring demonstrates a mindset of innovation and improvement rather than settling for the status quo.\nThe concept of adding, removing, and changing processes is shown in Figure 3-6.\nHow organizations tailor can itself be tailored. However, most organizations undertake some \nor all of the four steps described. They use elements of selecting an initial approach, tailoring for the \norganization, tailoring for the project, and implementing ongoing improvement as shown in Figure 3-7.Figure 3-6. Implement Ongoing Improvement\nPMI Seventh Edition July 2021145\nSection 3 – Tailoring3.5 TAILORING THE PERFORMANCE DOMAINS\nThe work associated with each performance domain can also be tailored, based on the \nuniqueness of the project. As shown in Figure 3-8, the principles for project management provide \nguidance for the behavior of project practitioners as they tailor the performance domains to meet the unique needs of the project context and the environment.1) Select ApproachTailoring Steps\n2) Tailor for the Org anization\n3) Tailor for the Project\n4)Implement Ong oing\nImprovement\nFigure 3-7. The Tailoring Process\nPMI Seventh Edition July 2021146\nPMBOK® GuideGuide BehaviorPrinciples of Project Management\nStakeholders\nTeam\nDelivery PlanningUncert ainty\nMeasurementProject\nPerformance\nDomainsBe a dilig ent, respectful,\nand caring stewardFocus on va lue\nBuild quality into\nprocesses and delive rablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely eng age\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nDevelopmen t\nApproach\nand\nLife Cycle\nProject Wo rk\nTailor to fit the project context\nFigure 3-8. Tailoring to Fit the Project Context\nSome tailoring considerations related to each of the performance domains include, but are not \nlimited to:\nPMI Seventh Edition July 2021147\nSection 3 – Tailoring3.5.1 STAKEHOLDERS\n▶Is there a collaborative environment for stakeholders and suppliers?\n▶Are the stakeholders internal or external to the organization, or both?\n▶What technologies are most appropriate and cost effective for communicating\nto stakeholders? What communication technology is available?\n▶Is one language used with stakeholders? Have allowances been made to adjust\nto stakeholders from diverse language groups?\n▶How many stakeholders are there? How diverse is the culture within the stakeholder\ncommunity?\n▶What are the relationships within the stakeholder community? The more networks\nin which a stakeholder or stakeholder group participates, the more complex the\nnetworks of information and misinformation the stakeholder may receive.\n3.5.2 PROJECT TEAM\n▶What is the physical location of project team members? Is the project team colocated?\nIs the project team in the same geographical area? Is the project team distributed across\nmultiple time zones?\n▶Does the project team reflect diverse viewpoints and cultural perspectives?\n▶How will project team members be identified for the project? Are project team members\nfull time or part time on the project? Are there available contractors capable of performingthe work?\n▶Does the project team have an established culture? How will tailoring be influenced by the\nexisting culture, and how will the existing culture be influenced by tailoring?\n▶How is project team development managed for the project? Are there organizational tools\nto manage project team development or will new ones need to be established?\n▶Are there project team members who have special needs? Will the project team need\nspecial training to manage diversity?\nPMI Seventh Edition July 2021148\nPMBOK® Guide3.5.3 DEVELOPMENT APPROACH", + "chunk_order_index": 69, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-3de41f370f20e19d789d5d250526c78a": { + "tokens": 1200, + "content": "? How will tailoring be influenced by the\nexisting culture, and how will the existing culture be influenced by tailoring?\n▶How is project team development managed for the project? Are there organizational tools\nto manage project team development or will new ones need to be established?\n▶Are there project team members who have special needs? Will the project team need\nspecial training to manage diversity?\nPMI Seventh Edition July 2021148\nPMBOK® Guide3.5.3 DEVELOPMENT APPROACH AND LIFE CYCLE\n▶Which development approach is appropriate for the product, service, or result? If adaptive,\nshould the project be developed incrementally or iteratively? Is a hybrid approach best?\n▶What is an appropriate life cycle for this specific project? What phases should comprise\nthe project life cycle?\n▶Does the organization have formal or informal audit and governance policies, procedures,\nand guidelines?\n3.5.4 PLANNING\n▶How might internal and external environmental factors influence the project and its\ndeliverable?\n▶What are the factors influencing durations (such as the correlation between available\nresources and their productivity)?\n▶Does the organization have formal or informal policies, procedures, and guidelines related\nto cost estimating and budgeting?\n▶How does the organization estimate cost when using adaptive approaches?\n▶Is there one main procurement or are there multiple procurements at different times\nwith different sellers that add to the complexity of the procurement processes?\n▶Are local laws and regulations regarding procurement activities integrated with the\norganization’s procurement policies? How does this affect contract auditing requirements?\nPMI Seventh Edition July 2021149\nSection 3 – Tailoring3.5.5 PROJECT WORK\n▶What management processes are most effective based on the organizational culture,\ncomplexity, and other project factors?\n▶How will knowledge be managed in the project to foster a collaborative working\nenvironment?\n▶What information should be collected throughout and at the end of the project? How will\nthe information be collected and managed? What technology is available to develop,\nrecord, transmit, retrieve, track, and store information and artifacts?\n▶Will historical information and lessons learned be made available to future projects?\n▶Does the organization have a formal knowledge management repository that a project\nteam is required to use, and is it readily accessible?\n3.5.6 DELIVERY\n▶Does the organization have formal or informal requirements management systems?\n▶Does the organization have existing formal or informal validation and control-related\npolicies, procedures, and guidelines?\n▶What quality policies and procedures exist in the organization? What quality tools,\ntechniques, and templates are used in the organization?\n▶Are there any specific quality standards in the industry that need to be applied? Are there\nany specific governmental, legal, or regulatory constraints that need to be taken into\nconsideration?\n▶Are there areas of the project with unstable requirements? If so, what is the best approach\nfor addressing the unstable requirements?\n▶How does sustainability factor into the elements of project management or product\ndevelopment?\nPMI Seventh Edition July 2021150\nPMBOK® Guide3.5.7 UNCERTAINTY\n▶What is the risk appetite and risk tolerance for this endeavor?\n▶How are threats and opportunities best identified and addressed within the selected\ndevelopment approach?\n▶How will the presence of project complexity, technological uncertainty, product novelty,\ncadence, or progress tracking impact the project?\n▶Does the project’s size in terms of budget, duration, scope, or project team size require\na more detailed approach to risk management? Or is the project small enough to justify\na simplified risk management process?\n▶Is a robust risk management approach demanded by high levels of innovation, new\ntechnology, commercial arrangements, interfaces, or other external dependencies?\nOr is the project simple enough that a reduced risk management process will suffice?\n▶How strategically important is the project? Is the level of risk increased for this project\nbecause it aims to produce breakthrough opportunities, addresses significant blocks to\norganizational performance, or involves major product innovation?\n3.5.8 MEASUREMENT\n▶How is value measured?\n▶Are there measures for financial value and nonfinancial value?\n▶How will the project enable data capture and reporting related to benefits realization,\nboth during the project and after the project is complete?\n▶What are the project status reporting requirements?\nPMI Seventh Edition July 2021151\nSection 3 – Tailoring3.6 DIAGNOSTICS\nPeriodic reviews such as retrospectives or lessons learned are effective ways to determine \nif approaches are working well and if improvements can be made by tailoring. Project teams that \ndo not use retrospectives can look to issues, threats, quality assurance statistics, and stakeholder feedback for signs that further tailoring or adaptation might be required or useful.\nThis section is intended as general guidance and does not address every possible situation \nthat could surface within a project. Table 3-1 lists some common situations and suggested tailoring solutions for commonly encountered situations.\nTable 3-1. Common Situations and Tailoring Suggestions\nSituation Tailoring Suggestion\nPoor quality deliverables\nTeam members unsure of how to proceed or undertake \ntheir work\nLong delays waiting for approvals\nToo much work in progress or high rates of scrap\nStakeholders are not engaged or share negative \nfeedbackLack of visibility and understanding of project progress\nIssues and/or risks for which the team is unprepared \ncontinue to surface, requiring the team to react rather than progress workAdd more feedback verification loops and quality assurance steps.\nAdd more guidance, training, and ve rification steps.\nTry streamlining approval decisions through fewer \npeople authorized to make decisions up to certain \nvalue thresholds.\nUse techniques like value stream mapping and kanban \nboards to visualize the work, identify the issues, and propose solutions.\nEvaluate whether sufficient information is being shared \nwith stakeholders; feedback loops are present and working; and", + "chunk_order_index": 70, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-322b37305c8ed13bd5ee6fbd30b5d9e8": { + "tokens": 1200, + "content": "continue to surface, requiring the team to react rather than progress workAdd more feedback verification loops and quality assurance steps.\nAdd more guidance, training, and ve rification steps.\nTry streamlining approval decisions through fewer \npeople authorized to make decisions up to certain \nvalue thresholds.\nUse techniques like value stream mapping and kanban \nboards to visualize the work, identify the issues, and propose solutions.\nEvaluate whether sufficient information is being shared \nwith stakeholders; feedback loops are present and working; and deeper engagement may work better than \nsimply communicating.\nCheck to ensure appropriate measures are being \ncollected, analyzed, shared, and discussed during team and stakeholder meetings; validate agreement with the measures within the team and with stakeholders.\nExplore root causes to identify whether there are \nrelated gaps in project processes or activities.\nPMI Seventh Edition July 2021152\nPMBOK® Guide3.7 SUMMARY\nTailoring involves the considered adaptation of approach, governance, and processes to make \nthem more suitable for the given environment and the project at hand. It involves the analysis, \ndesign, and deliberate modification of the people elements, the processes employed, and the tools used. The tailoring process involves four steps:\n▶Select initial approach.\n▶Tailor for the organization.\n▶Tailor for the project.\n▶Implement ongoing improvement.\nWhile the tailoring process is often undertaken by the project stakeholders, the bounds and \napproach to tailoring are usually governed by organizational guidelines. Organizational governance helps ensure the external interfaces between project teams mesh correctly and provides guidance \nin the form of tailoring considerations.\nPMI Seventh Edition July 2021153Models, Methods, \nand Artifacts\n4.1 OVERVIEW\nThis section provides a high-level description of some commonly used models, methods, and \nartifacts that are useful in managing projects. The items listed in this section are not intended to be \nexhaustive or prescriptive, but rather to help project teams think about the options available to them.\nIn the context of this guide, terms are defined as follows:\n▶Model. A model is a thinking strategy to explain a process, framework, or phenomenon.\n▶Method. A method is the means for achieving an outcome, output, result, or projectdeliverable.\n▶Artifact. An artifact can be a template, document, output, or project deliverable.\nAs project teams consider the tailoring questions in Section 3.5 and decide on specific responses \nto those questions, they will start to build a framework for structuring their efforts to deliver the project outcomes. For example, project teams select specific methods to enable capturing and sharing the applicable information so they can track progress, improve project team performance in real time, and engage stakeholders.\nFigure 4-1 shows how tailoring includes the models and methods used to perform work in \nthe project performance domains. The deliverables and the artifacts are also tailored to the project, internal environment, and external environment.4\nPMI Seventh Edition July 2021154\nPMBOK® GuideGuide Behavior\nStakeholder s\nProject WorkTeam\nDeliver y PlanningProject\nPerformance\nDomainsDevelopment\nApproach\nand\nLife CyclePrinciples of Project ManagementExternal En vironment\nInternal Environment\nSystem for Value Deliver yMethod\nMethodMethodMethodMethodMethodMethodMethodModels\nArtifactsDeliverable\nDeliverable\nDeliverable\nDeliverableBe a dilig ent, respectful,\nand caring stewardFocus on v alue\nBuild quality into\nprocesses and deliv erablesCreate a collaborativ e\nteam en vironment\nDemonstrate leadership\nbehaviors\nOptimize risk responses Navig ate complexityEffectiv ely enga ge\nwith stak eholders\nTailor based on context\nEmbrace adaptability\nand resiliencyRecognize, evaluate,\nand respond to\nsystem interactions\nEnable change to achieve\nthe envisioned future state\nMeasurementUncertainty\nTailor to fit the project context\nFigure 4-1. Tailoring to Fit the Project Context and Environment\nPMI Seventh Edition July 2021155\nSection 4 – Models, Methods, and ArtifactsAs with any process, the use of models, methods, and artifacts has associated costs related to \ntime, level of expertise/proficiency in use, impact on productivity, etc. Project teams should consider \nthese implications when deciding which elements to use. As much as possible, project teams should avoid using anything that:\n▶Duplicates or adds unnecessary effort,\n▶Is not useful to the project team and its stakeholders,\n▶Produces incorrect or misleading information, or\n▶Caters to individual needs versus those of the project team.\n4.2 COMMONLY USED MODELS\nModels reflect small-scale, simplified views of reality and present scenarios, strategies, or \napproaches for optimizing work processes and efforts. A model helps to explain how something works in the real world. Models can shape behavior and point to approaches for solving problems or meeting needs. Some models were developed with projects and project teams in mind, others are more general in nature. Where feasible, models in this section are presented as they apply to projects. The content in this section does not describe how to develop or create new models.\nThe model descriptions presented provide a high-level view. Project team members and \nother stakeholders can refer to many sources (e.g., PMI’s library of standards products and PMIstandards+™) for more-complete descriptions and explanations of the models.\n4.2.1 SITUATIONAL LEADERSHIP MODELS\nSituational leadership models are a subset of a vast array of leadership models. Just as \nproject teams tailor the processes, methods, life cycles, and development approaches, leadership styles are also tailored. Situational leadership models describe ways to tailor one’s leadership style to meet the needs of the individual and the project team. The following are examples of two situational leadership models.\nPMI Seventh Edition July 2021156\nPMBOK", + "chunk_order_index": 71, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-b35b0201c9783a967d199079a33694e3": { + "tokens": 1200, + "content": ".1 SITUATIONAL LEADERSHIP MODELS\nSituational leadership models are a subset of a vast array of leadership models. Just as \nproject teams tailor the processes, methods, life cycles, and development approaches, leadership styles are also tailored. Situational leadership models describe ways to tailor one’s leadership style to meet the needs of the individual and the project team. The following are examples of two situational leadership models.\nPMI Seventh Edition July 2021156\nPMBOK® Guide4.2.1.1 Situational Leadership® II\nKen Blanchard’s Situational Leadership® II measures project team member development using \ncompetence and commitment as the two main variables. Competence is the combination of ability, \nknowledge, and skill. Commitment speaks to the confidence and motivation an individual has. As an individual’s competence and commitment evolve, leadership styles evolve from directing to coaching to supporting to delegating in order to meet the individual’s needs.\n4.2.1.2 OSCAR Model\nThe OSCAR coaching and mentoring model was developed by Karen Whittleworth and Andrew \nGilbert. It helps individuals adapt their coaching or leadership styles to support individuals who have an action plan for personal development. The model refers to five contributing factors:\n▶Outcome. An outcome identifies the long-term goals of an individual and the desired\nresult from each conversation session.\n▶Situation. A situation enables conversation about the current skills, abilities, and\nknowledge level of the project team member; why the person is at that level; and howthat level impacts the individual’s performance and peer relationships.\n▶Choices/consequences. Choice and/or consequences identify all the potential avenues\nfor attaining the desired outcome and the consequences of each choice so an individualcan choose viable avenues for reaching their long-term goals.\n▶Actions. An action commits to specific improvements by focusing on immediate and\nattainable targets that an individual can work toward within a specified time frame.\n▶Review. Holding regular meetings offers support and helps to ensure that individualsremain motivated and on track.\nPMI Seventh Edition July 2021157\nSection 4 – Models, Methods, and Artifacts4.2.2 COMMUNICATION MODELS\nProject success is dependent on effective communication. Communication models \ndemonstrate concepts associated with how sender and receiver frames of reference impact the \neffectiveness of communication, how the communication medium influences the effectiveness of communication, and the types of disconnects between end-user expectations and reality. With the prevalence of multicultural project teams and dispersed stakeholders, these models provide a way of viewing communication styles and methods to enhance communication efficiency and effectiveness. There are many communication models that demonstrate different aspects of communication. Sections 4.2.2.1 through 4.2.2.3 provide a sampling of communication models.\n4.2.2.1 Cross-Cultural Communication\nA communication model developed by Browaeys and Price incorporates the idea that the \nmessage itself and how it is transmitted is influenced by the sender’s current knowledge, experience, language, thinking, and communication styles, as well as stereotypes and relationship to the receiver. Similarly, the receiver’s knowledge, experience, language, thinking, and communication styles, as well as stereotypes and relationship to the sender will influence how the message is interpreted.\n4.2.2.2 Effectiveness of Communication Channels\nAlistair Cockburn developed a model that describes the communication channels along the \naxes of effectiveness and richness. As defined by Richard Daft and Robert Lengel, richness relates to the amount of learning that can be transmitted through a medium. Media richness is a function of characteristics, including the ability to:\n▶Handle multiple information cues simultaneously,\n▶Facilitate rapid feedback,\n▶Establish a personal focus, and\n▶Utilize natural language.\nRichness in communication allows a broad spectrum of information to be conveyed rapidly. \nSituations that entail complex, complicated, and personal information benefit from richer communication channels, such as face-to-face communication. Situations that impart simple, \nfactual information can use less rich communication channels such as a note or a text message.\nPMI Seventh Edition July 2021158\nPMBOK® Guide4.2.2.3 Gulf of Execution and Evaluation\nDonald Norman described the gulf of execution as the degree to which an item corresponds \nwith what a person expects it to do. Said another way, it is the di fference between the intention of \na user and what the item allows them to do or supports them in doing. A car that has the ability to \nparallel park itself would have a gulf of execution if the driver expected to push a button labeled \n“park” and have the car park itself, and the car did not park itself.\nThe gulf of evaluation is the degree to which an item supports the user in discovering how to \ninterpret the item and interact with it effectively. The same parking example would show a gulf o f \nevaluation if the controls were not designed in such a way that the driver could easily determine how \nto initiate the self-parking function.\n4.2.3 MOTIVATION MODELS\nPeople perform better when they are motivated, and people are motivated by di fferent things. \nUnderstanding what motivates project team members and other stakeholders helps to tailor rewards \nto the individual, thereby eliciting more effective engagement. There are a significant number of \nmodels that illustrate how people are motivated. Four models are described in Sections 4.2.3.1 \nthrough 4.2.3.4, though these are a small representation of available models.\n4.2.3.1 Hygiene and Motivational Factors\nFrederick Herzberg conducted a study of motivational factors in working life. He believed that \njob satisfaction and dissatisfaction stem from conditions called motivational factors. Motivational \nfactors include matters that relate", + "chunk_order_index": 72, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-abb28340b681cd5f91f85666a3a8f805": { + "tokens": 1200, + "content": "a significant number of \nmodels that illustrate how people are motivated. Four models are described in Sections 4.2.3.1 \nthrough 4.2.3.4, though these are a small representation of available models.\n4.2.3.1 Hygiene and Motivational Factors\nFrederick Herzberg conducted a study of motivational factors in working life. He believed that \njob satisfaction and dissatisfaction stem from conditions called motivational factors. Motivational \nfactors include matters that relate to the content of the work, such as achievement, growth, and \nadvancement. Insufficient motivational factors lead to dissatisfaction. Sufficient motivational factors \nlead to satisfaction.\nHerzberg also identified hygiene factors related to the work, such as company policies, salary, \nand the physical environment. If hygiene factors are insufficient, they cause dissatisfaction. However, \neven if they are sufficient, they do not lead to satisfaction.\nPMI Seventh Edition July 2021159\nSection 4 – Models, Methods, and Artifacts4.2.3.2 Intrinsic versus Extrinsic Motivation\nDaniel Pink published several books about the intrinsic factors that motivate people. He stated \nthat while extrinsic rewards, such as salary, are motivators to a certain extent, once a person is paid \nfairly for their work, the motivational power of extrinsic rewards ceases to exist. For complicated and challenging work, such as much of the work on projects, intrinsic motivators are far longer lasting and more effective. Pink identifies three types of intrinsic motivators: autonomy, mastery, and purpose:\n▶Autonomy. Autonomy is the desire to direct one’s own life. This is aligned with being able\nto determine how, where, and when to accomplish work. Autonomy includes flexible workhours, working from home, and work on self-selecting and self-managing project teams.\n▶Mastery. Mastery is about being able to improve and excel. The desire to do excellentwork, learn, and achieve goals are aspects of mastery.\n▶Purpose. Purpose speaks to the need to make a difference. Knowing the project vision\nand how work contributes to achieving that vision allows people to feel like they are makinga difference.\n4.2.3.3 Theory of Needs\nDavid McClellan’s model states that all people are driven by needs of achievement, power, and \naffiliation. The relative strength of each need depends on an individual’s experiences and culture.\n▶Achievement. People who are motivated by achievement, such as reaching a goal,\nare motivated by activities and work that is challenging, but reasonable.\n▶Power. People who are motivated by power like to organize, motivate, and lead others.\nThey are motivated by increased responsibility.\n▶Affiliation. People who are motivated by affiliation seek acceptance and belonging.\nThey are motivated by being part of a team.\nPMI Seventh Edition July 2021160\nPMBOK® Guide4.2.3.4 Theory X, Theory Y , and Theory Z\nDouglas McGregor devised the Theory X and Theory Y models, which represent a spectrum \nof employee motivation and corresponding management styles. This was later expanded to \ninclude Theory Z.\n▶Theory X. The X side of the spectrum assumes individuals work for the sole purpose ofincome. They are not ambitious or goal oriented. The corresponding management style tomotivate these individuals is a hands-on and top-down approach. This management styleis often seen in a production or labor-intensive environment, or one with many layers ofmanagement.\n▶Theory Y. The Y side of the spectrum assumes that individuals are intrinsically motivatedto do good work. The corresponding management style has a more personal coaching feel.The manager encourages creativity and discussion. This management style is often seen increative and knowledge worker environments.\n▶Theory Z. Abraham Maslow saw Theory Z as a transcendent dimension to work whereindividuals are motivated by self-realization, values, and a higher calling. The optimalmanagement style in this situation is one that cultivates insight and meaning.\nWilliam Ouchi’s version of Theory Z focuses on motivating employees by creating a job\nfor life where the focus is on the well-being of employees and their families. This style ofmanagement seeks to promote high productivity, morale, and satisfaction.\n4.2.4 CHANGE MODELS\nMany projects contain an aspect of changing systems, behaviors, activities, and sometimes, \ncultures. Managing this type of change requires thinking about how to transition from the current to the future desired state. There are many models that describe the activities necessary for successful change management. Sections 4.2.4.1 through 4.2.4.5 provide a sampling of the change models.\nPMI Seventh Edition July 2021161\nSection 4 – Models, Methods, and Artifacts4.2.4.1 Managing Change in Organizations\nManaging Change in Organizations: A Practice Guide [3] is an iterative model that is based \non common elements across a range of change management models. The framework has five \nassociated elements interconnected through a series of feedback loops:\n▶Formulate change. This element focuses on building the rationale to help people\nunderstand why change is needed and how the future state will be better.\n▶Plan change. The identification of activities helps people prepare for the transition fromthe current to the future state.\n▶Implement change. This iterative element focuses on demonstrating the future state\ncapabilities, checking to ensure the capabilities are having the intended impact, and makingnecessary improvements or adaptations in response.\n▶Manage transition. This element considers how to address needs related to the change\nthat may surface once the future state is achieved.\n▶Sustain change. This element seeks to ensure that the new capabilities continue andprevious processes or behaviors cease.\n4.2.4.2 ADKAR® Model\nJeff Hiatt developed the", + "chunk_order_index": 73, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-666440a3fd9e5eb6c8f659f784faab5a": { + "tokens": 1200, + "content": "iterative element focuses on demonstrating the future state\ncapabilities, checking to ensure the capabilities are having the intended impact, and makingnecessary improvements or adaptations in response.\n▶Manage transition. This element considers how to address needs related to the change\nthat may surface once the future state is achieved.\n▶Sustain change. This element seeks to ensure that the new capabilities continue andprevious processes or behaviors cease.\n4.2.4.2 ADKAR® Model\nJeff Hiatt developed the ADKAR® Model which focuses on five sequential steps that individuals \nundergo when adapting to change:\n▶Step 1: Awareness. This step identifies why the change is necessary.\n▶Step 2: Desire. Once people know why the change is necessary, there needs to be a desire\nto be part of and support the change.\n▶Step 3: Knowledge. People need to understand how to change. This includes\nunderstanding new processes and systems in addition to new roles and responsibilities.Knowledge can be imparted through training and education.\n▶Step 4: Ability. In this step, knowledge is supported with hands-on practice and access toexpertise and help as needed.\n▶Step 5: Reinforcement. Reinforcement supports the sustainment of the change. This can\ninclude rewards, recognition, feedback, and measurement.\nPMI Seventh Edition July 2021162\nPMBOK® Guide4.2.4.3 The 8-Step Process for Leading Change\nJohn Kotter introduced the 8-Step Process for Leading Change for transforming organizations. \nIt is a top-down approach where the need for and approach to change originates at the top levels of \nthe organization, and then is promoted down through the organization’s layers of management to the change recipients. The eight steps are:\n▶Step 1: Create urgency. Identify potential threats and opportunities that drive the needfor change.\n▶Step 2: Form a powerful coalition. Identify the change leaders. Change leaders are not\nnecessarily based on hierarchy. The change leaders should be influential people from\na variety of roles, expertise, social, and political importance.\n▶Step 3: Create a vision for change. Identify the values that are central to the change.\nThen create a brief vision statement that summarizes the change. Next, identify a strategyto realize the vision.\n▶Step 4: Communicate the vision. Communicate the vision throughout the changeprocess. Apply the vision throughout all aspects of the organization. Senior managementand the change coalition should consistently communicate the vision and demonstrate\nthe urgency and benefits of the change.\n▶Step 5: Remove obstacles. All change comes with obstacles. Sometimes the obstacles\nare outdated processes, sometimes they are based on the organizational structure,\nand sometimes they are people resistant to change. Regardless, all obstacles need\nto be addressed.\n▶Step 6: Create short-term wins. Identify quick and easy wins to build momentum\nand support for the change.\n▶Step 7: Build on the change. Once the short-term wins are complete, the organizationneeds to set goals for continued improvement.\n▶Step 8: Anchor the changes in corporate culture. Ensure the change becomes ingrained\ninto the culture: continue to communicate the vision, tell success stories, recognize peoplein the organization who embody and empower the change, and continue to support thechange coalition.\nPMI Seventh Edition July 2021163\nSection 4 – Models, Methods, and Artifacts4.2.4.4 Virginia Satir Change Model\nVirginia Satir developed a model of how people experience and cope with change. Its purpose \nis to help project team members understand what they are feeling and enable them to move through \nchange more efficiently.\n▶Late status quo. This initial stage is when everything feels familiar and can becharacterized as “business as usual.” For some people, business as usual may be goodbecause they know what to expect. For others, this status may feel a bit stale or boring.\n▶The foreign element. Something happens that shifts the status quo in this stage. This may\ninclude initiating a project that introduces change to people’s usual way of working. Thereis often a period of resistance and reduction in performance after the change is introduced.People may ignore the change or dismiss its relevance.\n▶Chaos. People are in unfamiliar territory. They are no longer comfortable, and performancedrops to its lowest level. Feelings, actions, and behaviors are unpredictable. Some peoplefeel anxious, others may shut down, and some individuals may feel excited. Chaos canmake people very creative as they try to find ways to make sense of the situation. They tryvarious ideas and behaviors to see which of these has a positive outcome.\n▶The transforming idea. People come to a point where they come up with an idea that\nhelps them make sense of the situation. They begin to see how they can find a way out ofthe chaos and cope with the new reality. Work performance begins to increase.\n▶Practice and integration. People try to implement their new ideas or behaviors. There\nmay be setbacks and a period of trial and error, but eventually they learn what works andwhat doesn’t. This leads to improved performance. Often performance is at a higher levelthan it was before the foreign element was introduced.\n▶New status quo. People get used to the new environment, and their performancestabilizes. Eventually, the new status quo becomes the normal way of working.\nPMI Seventh Edition July 2021164\nPMBOK® Guide4.2.4.5 Transition Model\nWilliam Bridges’ Transition Model provides an understanding of what occurs to individuals \npsychologically when an organizational change takes place. This model differentiates between change \nand transition. Change is situational and happens whether or not people transition through it. \nTransition is a psychological process", + "chunk_order_index": 74, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d30a0e904a281ddfbee628e40ef516c1": { + "tokens": 1200, + "content": "and their performancestabilizes. Eventually, the new status quo becomes the normal way of working.\nPMI Seventh Edition July 2021164\nPMBOK® Guide4.2.4.5 Transition Model\nWilliam Bridges’ Transition Model provides an understanding of what occurs to individuals \npsychologically when an organizational change takes place. This model differentiates between change \nand transition. Change is situational and happens whether or not people transition through it. \nTransition is a psychological process where people gradually accept the details of the new situation and the changes that come with it.\nThe model identifies three stages of transition associated with change:\n▶Ending, losing, and letting go. The change is introduced in this stage. It is oftenassociated with fear, anger, upset, uncertainty, denial, and resistance to the change.\n▶The neutral zone. The change is happening in this stage. In some instances, people mayfeel frustration, resentment, confusion, and anxiety about the change. Productivity maydrop as people learn new ways of doing work. In other instances, people may become verycreative, innovative, and passionate about trying new ways of working.\n▶The new beginning. At this point, people accept and even embrace the change. They arebecoming more adept at the new skills and the new ways of working. People are often\nopen to learning and are energized by the change.\n4.2.5 COMPLEXITY MODELS\nProjects exist in a state of ambiguity and require interactions among multiple systems, often \nwith uncertain outcomes. Complexity is a challenge to work with. The two models described in Sections 4.2.5.1 and 4.2.5.2 provide a framework to understand complexity and determine how to make decisions in a complex environment.\n4.2.5.1 Cynefin  Framework\nThe Cynefin framework, created by Dave Snowden, is a conceptual framework used to diagnose \ncause-and-effect relationships as a decision-making aid. The framework offers five problem and decision-making contexts:\nPMI Seventh Edition July 2021165\nSection 4 – Models, Methods, and Artifacts▶Where there is an obvious cause-and-effect relationship, best practices are used to make\ndecisions.\n▶Complicated relationships exist when there is a set of known unknowns or a range\nof correct answers. In these situations, it is best to assess the facts, analyze the situation,\nand apply good practices.\n▶Complex relationships include unknown unknowns. There is no apparent cause and effect,\nand there are no obvious right answers. In complex environments, one should probe theenvironment, sense the situation, and respond with action. This style uses emergent practicesthat allow for repeated cycles of probe-sense-respond as complex environments change inreaction to multiple stimuli, and what worked once may not be effective the next time.\n▶In chaotic environments, the cause and effects are unclear. There is too much confusion\nto wait to understand the situation. In these situations, the first step is to take action to tryand stabilize the situation, then sense where there is some stability, and respond by takingsteps to get the chaotic situation to a complex situation.\n▶Disordered relationships lack clarity and may require breaking them into smaller parts\nwhose context links with one of the other four contexts.\nThe Cynefin framework helps identify behaviors, such as probing, sensing, responding, acting, \nand categorizing, which can help impact the relationships between variables and guide actions.\n4.2.5.2 Stacey Matrix\nRalph Stacey developed the Stacey matrix which is similar to the Cynefin framework, but it looks \nat two dimensions to determine the relative complexity of a project: (a) the relative uncertainty of the requirements for the deliverable, and (b) the relative uncertainty of the technology that will be used to create the deliverable. Based on the relative uncertainty of these dimensions, a project is considered simple, complicated, complex, or chaotic. The degree of complexity is one factor that influences tailoring methods and practices for the project.\nPMI Seventh Edition July 2021166\nPMBOK® Guide4.2.6 PROJECT TEAM DEVELOPMENT MODELS\nProject teams move through different stages of development. Understanding the stage of the \nteam in its development helps project managers support the project team and its growth. The two \nmodels presented in Sections 4.2.6.1 and 4.2.6.2 illustrate how project teams move through different stages to become high-performing project teams.\n4.2.6.1 Tuckman Ladder\nBruce Tuckman articulated the stages of team development as forming, storming, norming, and \nperforming. Many people add a fifth stage, adjourning.\n▶Forming. The project team first comes together. Members get to know each other’s name,\nposition on the project team, skill sets, and other pertinent background information. Thismight occur in the kickoff meeting.\n▶Storming. Project team members jockey for position on the team. This phase is where\npeople’s personalities, strengths, and weaknesses start to come out. There might be someconflict or struggle as people figure out how to work together. Storming might go on forsome time or pass relatively quickly.\n▶Norming. The project team starts to function as a collective body. At this point, project team\nmembers know their places on the team and how they relate to and interface with all theother members. They are starting to work together. There might be some challenges as workprogresses, but these issues are resolved quickly, and the project team moves into action.\n▶Performing. The project team becomes operationally efficient. This is the mature project\nteam stage. Project teams that have been together for a while are able to develop asynergy. By working together, project team members accomplish", + "chunk_order_index": 75, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-13edbc411f025b75a6768a4f52e9502a": { + "tokens": 1200, + "content": "members know their places on the team and how they relate to and interface with all theother members. They are starting to work together. There might be some challenges as workprogresses, but these issues are resolved quickly, and the project team moves into action.\n▶Performing. The project team becomes operationally efficient. This is the mature project\nteam stage. Project teams that have been together for a while are able to develop asynergy. By working together, project team members accomplish more and produce\na high-quality product.\n▶Adjourning. The project team completes the work and disperses to work on other things.\nIf the project team has formed good relationships, some project team members might besad about leaving the project team.\nThe project team culture in this model starts in the forming stage and evolves throughout the \nrest of the development stages. While this model shows a linear progression, project teams can move back and forth between theses stages. In addition, not all project teams achieve the performing or even the norming stages.\nPMI Seventh Edition July 2021167\nSection 4 – Models, Methods, and Artifacts4.2.6.2 Drexler/Sibbet Team Performance Model\nAllan Drexler and David Sibbet developed a team performance model with seven steps. Steps \n1 through 4 describe the stages in creating a project team, and steps 5 through 7 cover project team \nsustainability and performance.\n▶Step 1: Orientation. Orientation answers the question of why. In this stage, the project\nteam learns the purpose and mission for the project. This usually occurs at a kickoffmeeting, or is documented in a business case, project charter, or lean start-up canvas.\n▶Step 2: Trust building. Trust building answers the question of who. This stage sheds light\non who is on the project team and the skills and abilities each person brings. It can alsoinclude information about key stakeholders who may not be part of the project team butcan influence the project team.\n▶Step 3: Goal clarification. Goal clarification answers what. In this stage, the project team\nelaborates the high-level project information. This may include finding out more aboutstakeholder expectations, requirements, assumptions, and deliverable acceptance criteria.\n▶Step 4: Commitment. Commitment addresses the question of how. In this stage, the\nproject team starts to define plans to achieve the goals. This can include milestoneschedules, release plans, high-level budgets, resource needs, and so forth.\n▶Step 5: Implementation. High-level plans are decomposed into greater levels of detail,\nsuch as a detailed schedule or backlog. The project team starts working together toproduce deliverables.\n▶Step 6: High performance. After the project team has worked together for some time,\nproject team members reach a high level of performance. They work well together, don’tneed much oversight, and experience synergies within the project team.\n▶Step 7: Renewal. Renewal is the stage of working through changes on the project team orthe project. The deliverables, stakeholders, environment, project team leadership, or teammembership may change. This causes the project team to consider if the past behavior\nand actions are still sufficient, or if the project team needs to go back to a previous stage\nto reset the expectations and ways of working together.\nPMI Seventh Edition July 2021168\nPMBOK® Guide4.2.7 OTHER MODELS\nThe models described in Sections 4.2.7.1 through 4.2.7.5 cover a wide range of topics, including \nconflict management, negotiation, planning, Process Groups, and salience.\n4.2.7.1 Conflict  Model\nConflict is common on projects. Conflict can be healthy and productive when handled well. \nIt can result in greater trust among project team members and a deeper commitment to the \noutcomes. Fear of conflict can restrict communication and creativity. However, conflict can be unhealthy as well. Addressing conflict inappropriately can lead to dissatisfaction, lack of trust, and reduced morale and motivation. The model based on work by Ken Thomas and Ralph Kilmann describes six ways of addressing conflict by focusing on the relative power between the individuals and the desire to maintain a good relationship as follows:\n▶Confronting/problem solving. Confronting a conflict treats the conflict as a problem to\nbe solved. This style of conflict resolution is used when the relationship between parties isimportant, and when each person has confidence in the other party’s ability to problem-solve.\n▶Collaborating. Collaborating involves incorporating multiple views about the conflict.\nThe objective is to learn about the various views and see things from multiple perspectives.This is an effective method when there is trust among the participants and when there istime to come to consensus. A project manager may facilitate this type of conflict resolutionbetween project team members.\n▶Compromising. There are some conflicts in which all parties will not be fully satisfied. In\nthose instances, finding a way to compromise is the best approach. Compromise entailsa willingness to give and take. This allows all parties to get something they want, and itavoids escalating the conflict. This style is often used when the parties involved have equal“power.” A project manager may compromise with a technical manager regarding theavailability of a project team member to work on the project.\nPMI Seventh Edition July 2021169\nSection 4 – Models, Methods, and Artifacts▶Smoothing/accommodating. Smoothing and accommodating are useful when reaching\nthe overarching goal is more important than the disagreement. This approach maintains\nharmony in the relationship and can create good will between the parties. This approachis also used when there is a difference in the relative authority or power of the individuals.For", + "chunk_order_index": 76, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-dfd5336b58d31fea2e0afcb60387f69c": { + "tokens": 1200, + "content": "regarding theavailability of a project team member to work on the project.\nPMI Seventh Edition July 2021169\nSection 4 – Models, Methods, and Artifacts▶Smoothing/accommodating. Smoothing and accommodating are useful when reaching\nthe overarching goal is more important than the disagreement. This approach maintains\nharmony in the relationship and can create good will between the parties. This approachis also used when there is a difference in the relative authority or power of the individuals.For example, this approach may be appropriate when there is a disagreement with thesponsor. Since the sponsor outranks the project manager or project team member,and there is a desire to maintain a good relationship with the sponsor, adopting anaccommodating posture may be appropriate.\n▶Forcing. Forcing is used when there is not enough time to collaborate or problem-solve.\nIn this scenario, one party forces their will on the other. The party forcing has more powerthan the other party. A forcing style may be used if there is a health and safety conflict thatneeds to be resolved immediately.\n▶Withdrawal/avoiding. Sometimes a problem will go away on its own, or sometimes\ndiscussions get heated and people need a cooling-off period. In both scenarios,withdrawing from the situation is appropriate. Withdrawal is also used in a no-winscenario, such as complying with a requirement imposed by a regulatory agency insteadof challenging the requirement.\n4.2.7.2 Negotiation\nThere are many models for negotiation. One model is Steven Covey’s principle of “Think Win-Win.” \nThis principle applies to all interactions, not just negotiations, but it is described here in the context \nof negotiation. In negotiations, there are different possible outcomes:\n▶Win-win. This is the optimal outcome, where each person is satisfied with the outcome.\n▶Win-lose/lose-win. This describes a competition perspective where in order to win,\nsomeone else loses. It may also come from a martyr perspective where someone choosesto lose so that others can win.\n▶Lose-lose. This outcome can occur when win-win outcomes may have been possible, but\ncompetition overwhelms collaboration. In this scenario, everyone ends up worse off.\nPMI Seventh Edition July 2021170\nPMBOK® GuideA win-win perspective is generally found when the following aspects are present:\n▶Character. The parties involved are mature, demonstrate integrity, and share the\nperspective that there is enough value for everybody.\n▶Trust. The parties trust each other, establish agreements on how to operate, and are\naccountable.\n▶Approach. Each party is willing to look at the situation from the other’s point of view. The\nparties work together to identify key issues and concerns. They identify what an acceptablesolution looks like and identify options to achieve an acceptable solution.\n4.2.7.3 Planning\nBarry Boehm developed a model that compares the time and effo rt invested in developing \nplans to reduce risk, including the delay and other costs asso ciated with overplanning. By taking \nmore time to plan up front, many projects can reduce uncertai nty, oversights, and rework. However, \nthe longer the time spent planning, t he longer it takes to get a return on investment, the more \nmarket share could be lost, and the more circumstances can change by the time the output is \ndelivered. The intent of this model is to help identify the optimum amount of planning, somet imes \ncalled the sweet spot. The sweet spot is different for every project; therefore, there is no correct \nanswer for the right amount of planning overall. This model demo nstrates that there is a point \nwhere additional planning becomes counterproductive.\n4.2.7.4 Process Groups\nProject management processes can be organized into logical groupings of project management \ninputs, tools and techniques, and outputs that are tailored to meet the needs of the organization, \nstakeholders, and the project.\nGroups of processes are not project phases. The Process Groups interact within each phase \nof a project life cycle. It is possible that all of these processes could occur within a single phase. \nProcesses may be iterated within a phase or life cycle. The number of iterations and interactions \nbetween processes varies based on the needs of the project.\nPMI Seventh Edition July 2021171\nSection 4 – Models, Methods, and ArtifactsProjects that follow a process-based approach may use the following five process groupings \nas an organizing structure:\n▶Initiating. Those processes performed to define a new project or a new phase of an\nexisting project by obtaining authorization to start the project or phase.\n▶Planning. Those processes required to establish the scope of the project, refine the\nobjectives, and define the course of action required to attain the objectives that the projectwas undertaken to achieve.\n▶Executing. Those processes performed to complete the work defined in the projectmanagement plan to satisfy the project requirements.\n▶Monitoring and Controlling. Those processes required to track, review, and regulate the\nprogress and performance of the project; identify any areas in which changes to the planare required; and initiate the corresponding changes.\n▶Closing. Those processes performed to formally complete or close a project, phase,\nor contract.\nThese Process Groups are independent of the delivery approach, application areas (such as \nmarketing, information services, and accounting), or industry (such as construction, aerospace, and telecommunications). In a process-based approach, the output of one process generally becomes an input to another process or is a deliverable of the project or project phase. For example, a project management plan and project documents, such as the risk register, assumption log, etc., which are produced in the planning process grouping, are inputs to the executing process", + "chunk_order_index": 77, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-11a654df40b9e34ab6b0e53be6ce4862": { + "tokens": 1200, + "content": "are independent of the delivery approach, application areas (such as \nmarketing, information services, and accounting), or industry (such as construction, aerospace, and telecommunications). In a process-based approach, the output of one process generally becomes an input to another process or is a deliverable of the project or project phase. For example, a project management plan and project documents, such as the risk register, assumption log, etc., which are produced in the planning process grouping, are inputs to the executing process grouping where updates are made to associated artifacts.\n4.2.7.5 Salience Model\nThe Salience Model is about stakeholders. Salience means prominent, noticeable, or perceived \nas important. This model was proposed by Ronald K. Mitchell, Bradley R. Agle, and Donna J. Wood. The authors denoted a stakeholder identification based on three variables: power to influence, legitimacy of the stakeholders’ relationships with the project, and the urgency of the stakeholders' claim on the project for stakeholder engagement.\nPMI Seventh Edition July 2021172\nPMBOK® Guide4.3 MODELS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent models are more likely to be useful in different project performance domains. While \nthe needs of the project, stakeholders, and organizational environment will determine which models \nare most applicable for a specific project, there are some performance domains that are more likely to make use of each model. Table 4-1 suggests the performance domain(s) where each model is most likely to be of use; however, the project manager and project team have the ultimate responsibility for selecting the right models for their project.\nPMI Seventh Edition July 2021173\nSection 4 – Models, Methods, and ArtifactsTable 4-1. Mapping of Models Likely to Be Used in Each Performance Domain\nPerformanc e Domai n\nMode l\nX \nX X X Team\nStakeholders\nDev Approach\nand Life Cycle\nPlanning\nProject Wo rk\nDelive ry\nMeasur emen t\nUncertainl y\nX \nX X X X X X X \nX X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX X \nX \nX \nX \nX \nX X X X X \nX X X X \nX X X X \nX X \nX \nX X \nX \nX \nX X \nX \nX \nX X \nX X \nX X Situational Leadership® II\nOSCAR\nCross-cultural communication\nEffectiveness of communication channelsGulf of execution and evaluation\nHygiene and motivation factors\nIntrinsic versus extrinsic motivationTheory of needsTheory X, Theory Y, and Theory Z\nManaging Change in OrganizationsADKAR\n®\n8-Step Process for Leading ChangeTransition\nCynefin framework\nStacey matrix\nTuckman Ladder\nDrexler/Sibbet Team Performance\nConflict\nNegotiationPlanningProcess GroupsSalienceSituational Leadership Models:\nCommunication Models:\nMotivation Models:\nChange Models:\nComplexity Models:\nProject Team Development Models:\nOther Models:\nPMI Seventh Edition July 2021174\nPMBOK® Guide4.4 COMMONLY USED METHODS\nA method is a means for achieving an outcome, output, result, or project deliverable. The \nmethods described here are a sampling of those commonly used to support project work. There are \nmany methods that are not described here, either because they are used in project management the same way they are in other disciplines, such as interviewing, focus groups, checklists, and so forth, or because they are not frequently used across a broad spectrum of projects (i.e., the methods are industry specific).\nMany of the methods are related by the purpose they serve, such as estimating or data gathering, \nand therefore, are presented in a group. Others are related by the type of activity involved, such as those in the meetings and analysis groups.\nThe content in this section is not meant to describe how a method is performed. The \ndescriptions are presented at a high level with more detailed information available from many sources, including PMIstandards+.\n4.4.1 DATA GATHERING AND ANALYSIS\nData gathering and analysis methods are used to collect, assess, and evaluate data and \ninformation to gain a deeper understanding of a situation. The outputs of data analysis may be organized and presented as one of the artifacts shown in Section 4.6.6. The data gathering and analysis methods described here, coupled with the artifacts described in Section 4.6.6, are often used to inform decisions.\n▶Alternatives analysis. Alternatives analysis is used to evaluate identified options in order\nto select the options or approaches to perform the work of the project.\n▶Assumption and constraint analysis. An assumption is a factor that is considered to\nbe true, real, or certain, without proof or demonstration. A constraint is a limiting factorthat affects the execution of a project, program, portfolio, or process. This form of analysisensures that assumptions and constraints are integrated into the project plans anddocuments, and that there is consistency among them.\nPMI Seventh Edition July 2021175\nSection 4 – Models, Methods, and Artifacts▶Benchmarking. Benchmarking is the comparison of actual or planned products, processes,\nand practices to those of comparable organizations, which identifies best practices,generates ideas for improvement, and provides a basis for measuring performance.\n▶Business justification analysis methods. This group of analysis methods is associated\nwith authorizing or justifying a project or a decision. The outcomes of the following analysesare often used in a business case that justifies undertaking a project:\n▹Payback period. The payback period is the time needed to recover", + "chunk_order_index": 78, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-15d3a52fd3a7c88c352533bd3dd5d6cc": { + "tokens": 1200, + "content": "the comparison of actual or planned products, processes,\nand practices to those of comparable organizations, which identifies best practices,generates ideas for improvement, and provides a basis for measuring performance.\n▶Business justification analysis methods. This group of analysis methods is associated\nwith authorizing or justifying a project or a decision. The outcomes of the following analysesare often used in a business case that justifies undertaking a project:\n▹Payback period. The payback period is the time needed to recover an investment,usually in months or years.\n▹Internal rate of return (IRR). The internal rate of return is the projected annual yield\nof a project investment, incorporating both initial and ongoing costs into an estimatedpercentage growth rate a given project is expected to have.\n▹Return on investment (ROI). Return on investment is the percent return on an initial\ninvestment, calculated by taking the projected average of all net benefits and dividingthem by the initial cost.\n▹Net present value (NPV). Net present value is the future value of expected benefits,\nexpressed in the value those benefits have at the time of investment. NPV considerscurrent and future costs and benefits and inflation.\n▹Cost-benefit analysis. A cost-benefit analysis is a financial analysis tool used to determine\nthe benefits provided by a project against its costs.\n▶Check sheet. A check sheet is a tally sheet that can be used as a checklist when gatheringdata. Check sheets can be used to collect and segregate data into categories. Check sheetscan also be used to create histograms and matrices as described in Section 4.6.6.\n▶Cost of quality. The cost of quality includes all costs incurred over the life of the productby investment in preventing nonconformance to requirements, appraisal of the product orservice for conformance to requirements, and failure to meet requirements.\n▶Decision tree analysis. A decision tree analysis is a diagramming and calculation method\nfor evaluating the implications of a chain of multiple options in the presence of uncertainty.Decision trees can use the information generated from an expected monetary valueanalysis to populate the branches of the decision tree.\nPMI Seventh Edition July 2021176\nPMBOK® Guide▶Earned value analysis. Earned value analysis is a method that utilizes a set of measures\nassociated with scope, schedule, and cost to determine the cost and schedule performance\nof a project.\n▶Expected monetary value (EMV). The expected monetary value is the estimated value\nof an outcome expressed in monetary terms. It is used to quantify the value of uncertainty,such as a risk, or compare the value of alternatives that are not necessarily equivalent. TheEMV is calculated by multiplying the probability that an event will occur and the economicimpact the event would have should it occur.\n▶Forecast. A forecast is an estimate or prediction of conditions and events in the project’s\nfuture, based on information and knowledge available at the time of the forecast.Qualitative forecasting methods use the opinions and judgments of subject matter experts.Quantitative forecasting uses models where past information is used to predict futureperformance. Causal or econometric forecasting, such as regression analysis, identifiesvariables that can have significant impact on future outcomes.\n▶Influence diagram. This diagram is a graphical representation of situations showingcausal influences, time ordering of events, and other relationships among variables\nand outcomes.\n▶Life cycle assessment. This assessment is a tool used to evaluate the total environmental\nimpact of a product, process, or system. It includes all aspects of producing a projectdeliverable, from the origin of materials used in the deliverable to its distribution andultimate disposal.\n▶Make-or-buy analysis. A make-or-buy analysis is the process of gathering and organizing\ndata about product requirements and analyzing them against available alternatives such\nas the purchase versus internal manufacture of the product.\n▶Probability and impact matrix. A probability and impact matrix is a grid for mapping the\nprobability of occurrence of each risk and its impact on project objectives if that risk occurs.\n▶Process analysis. This analysis is a systematic review of the steps and procedures to\nperform an activity.\n▶Regression analysis. A regression analysis is an analytical technique where a series of\ninput variables are examined in relation to their corresponding output results in order todevelop a mathematical or statistical relationship.\nPMI Seventh Edition July 2021177\nSection 4 – Models, Methods, and Artifacts▶Reserve analysis. This analytical technique is used to evaluate the amount of risk on\nthe project and the amount of schedule and budget reserve to determine whether the\nreserve is sufficient for the remaining risk. The reserve contributes to reducing risk to anacceptable level.\n▶Root cause analysis. This analytical technique is used to determine the basic underlying\ncause of a variance, defect, or a risk. A root cause may underlie more than one variance,defect, or risk.\n▶Sensitivity analysis. This analytical technique is used to determine which individual project\nrisks or other sources of uncertainty have the most potential impact on project outcomes bycorrelating variations in project outcomes with variations in elements of a quantitative riskanalysis model.\n▶Simulations. This analytical technique uses models to show the combined effect of\nuncertainties in order to evaluate their potential impact on objectives. A Monte Carlosimulation is a method of identifying the potential impacts of risk and uncertainty usingmultiple iterations of a computer model to develop a probability distribution of a range ofoutcomes that could result from a decision or course of action.\n▶Stakeholder analysis. This technique involves systematically gathering and analyzing\nquantitative and qualitative information about stakeholders to determine whose interestsshould be taken into account throughout the project.\n▶SWOT analysis. A SWOT analysis assesses the strengths, weaknesses, opportunities, andthreats of an organization, project, or option.\n▶Trend analysis. A trend analysis", + "chunk_order_index": 79, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-203c062b3c9df78dc17fa3d4cd8a7765": { + "tokens": 1200, + "content": "multiple iterations of a computer model to develop a probability distribution of a range ofoutcomes that could result from a decision or course of action.\n▶Stakeholder analysis. This technique involves systematically gathering and analyzing\nquantitative and qualitative information about stakeholders to determine whose interestsshould be taken into account throughout the project.\n▶SWOT analysis. A SWOT analysis assesses the strengths, weaknesses, opportunities, andthreats of an organization, project, or option.\n▶Trend analysis. A trend analysis uses mathematical models to forecast future outcomes\nbased on historical results.\n▶Value stream mapping. Value stream mapping is a lean enterprise method used to\ndocument, analyze, and improve the flow of information or materials required to produce\na product or service for a customer.\n▶Variance analysis. Variance analysis is used to determine the cause and degree of\ndifference between the baseline and actual performance.\n▶What-if scenario analysis. This analytical technique evaluates scenarios in order to\npredict their effect on project objectives.\nPMI Seventh Edition July 2021178\nPMBOK® Guide4.4.2 ESTIMATING\nEstimating methods are used to develop an approximation of work, time, or cost on a project.\n▶Affinity grouping. Affinity grouping involves classifying items into similar categories or\ncollections on the basis of their likeness. Common affinity groupings include T-shirt sizingand Fibonacci numbers.\n▶Analogous estimating. Analogous estimating assesses the duration or cost of an activity\nor a project using historical data from a similar activity or project.\n▶Function point. A function point is an estimate of the amount of business functionality inan information system. Function points are used to calculate a functional size measurement(FSM) of a software system.\n▶Multipoint estimating. Multipoint estimating assesses cost or duration by applying an\naverage or weighted average of optimistic, pessimistic, and most likely estimates whenthere is uncertainty with the individual activity estimates.\n▶Parametric estimating. Parametric estimating uses an algorithm to calculate cost or\nduration based on historical data and project parameters.\n▶Relative estimating. Relative estimating is used to create estimates that are derived from\nperforming a comparison against a similar body of work, taking effort, complexity, anduncertainty into consideration. Relative estimating is not necessarily based on absolute unitsof cost or time. Story points are a common unitless measure used in relative estimating.\n▶Single-point estimating. Single-point estimating involves using data to calculate a single\nvalue that reflects a best-guess estimate. A single-point estimate is opposed to a rangeestimate, which includes the best- and worst-case scenario.\n▶Story point estimating. Story point estimating involves project team members assigning\nabstract, but relative, points of effort required to implement a user story. It tells the projectteam about the difficulty of the story considering the complexity, risks, and effort involved.\n▶Wideband Delphi. Wideband Delphi is a variation of the Delphi estimating method where\nsubject matter experts complete multiple rounds of producing estimates individually, witha project team discussion after each round, until a consensus is achieved. For WidebandDelphi, those who created the highest and lowest estimates explain their rationale,following which everyone reestimates. The process repeats until convergence is achieved.Planning poker is a variation of Wideband Delphi.\nPMI Seventh Edition July 2021179\nSection 4 – Models, Methods, and Artifacts4.4.3 MEETINGS AND EVENTS\nMeetings are an important means for engaging the project team and other stakeholders. They \nare a primary means of communication throughout the project.\n▶Backlog refinement. At a backlog refinement meeting, the backlog is progressively\nelaborated and (re)prioritized to identify the work that can be accomplished in an\nupcoming iteration.\n▶Bidder conference. Meetings with prospective sellers prior to the preparation of a bid\nor proposal to ensure all prospective vendors have a clear and common understanding\nof the procurement. This meeting may also be known as contractor conferences, vendorconferences, or pre-bid conferences.\n▶Change control board. A change control board meeting includes the group of people\nwho are accountable for reviewing, evaluating, approving, delaying, or rejecting changesto the project. The decisions made at this meeting are recorded and communicated to theappropriate stakeholders. This meeting may also be referred to as a change control meeting.\n▶Daily standup. A standup is a brief collaboration meeting during which the project teamreviews its progress from the previous day, declares intentions for the current day, andhighlights any obstacles encountered or anticipated. This meeting may also be referred toas a daily scrum.\n▶Iteration planning. An iteration planning meeting is used to clarify the details of the\nbacklog items, acceptance criteria, and work effort required to meet an upcoming iterationcommitment. This meeting may also be referred to as a sprint planning meeting.\n▶Iteration review. An iteration review is held at the end of an iteration to demonstrate the\nwork that was accomplished during the iteration. This meeting may also be referred to as asprint review.\n▶Kickoff. A kickoff meeting is a gathering of project team members and other key\nstakeholders at the outset of a project to formally set expectations, gain a commonunderstanding, and commence work. It establishes the start of a project, phase,\nor iteration.\nPMI Seventh Edition July 2021180\nPMBOK® Guide▶Lessons learned meeting. A lessons learned meeting is used to identify and share the\nknowledge gained during a project, phase, or iteration with a focus on improving project\nteam performance. This meeting can address situations that could have been handledbetter in addition to good practices and situations that produced very favorable outcomes.\n▶Planning meeting. A planning meeting is used to create, elaborate, or review a plan orplans and secure commitment for the plan(s).\n▶", + "chunk_order_index": 80, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8a32b4e6bd2aec56246931d7c8d93e74": { + "tokens": 1200, + "content": "2021180\nPMBOK® Guide▶Lessons learned meeting. A lessons learned meeting is used to identify and share the\nknowledge gained during a project, phase, or iteration with a focus on improving project\nteam performance. This meeting can address situations that could have been handledbetter in addition to good practices and situations that produced very favorable outcomes.\n▶Planning meeting. A planning meeting is used to create, elaborate, or review a plan orplans and secure commitment for the plan(s).\n▶Project closeout. A project closeout meeting is used to obtain final acceptance of the\ndelivered scope from the sponsor, product owner, or client. This meeting indicates that\nthe product delivery is complete.\n▶Project review. A project review meeting is an event at the end of a phase or a project\nto assess the status, evaluate the value delivered, and determine if the project is ready tomove to the next phase, or transition to operations.\n▶Release planning. Release planning meetings identify a high-level plan for releasing\nor transitioning a product, deliverable, or increment of value.\n▶Retrospective. A retrospective is a regularly occurring workshop in which participants\nexplore their work and results in order to improve both process and product.Retrospectives are a form of lessons learned meeting.\n▶Risk review. A meeting to analyze the status of existing risks and identify new risks.\nThis includes determining if the risk is still active and if there have been changes to therisk attributes (such as probability, impact, urgency, etc.). Risk responses are evaluatedto determine if they are effective or should be updated. New risks may be identifiedand analyzed and risks that are no longer active may be closed. Risk reassessment is anexample of a risk-review meeting.\n▶Status meeting. A status meeting is a regularly scheduled event to exchange and analyzeinformation about the current progress of the project and its performance.\n▶Steering committee. A meeting where senior stakeholders provide direction and support\nto the project team and make decisions outside of the project team’s authority.\nPMI Seventh Edition July 2021181\nSection 4 – Models, Methods, and Artifacts4.4.4 OTHER METHODS\nThe methods described in this section don’t fit into a specific category; however, they are \ncommon methods that are used for a variety of purposes on projects.\n▶Impact mapping. Impact mapping is a strategic planning method that serves as a visual\nroadmap for the organization during product development.\n▶Modeling. Modeling is the process of creating simplified representations of systems,\nsolutions, or deliverables such as prototypes, diagrams, or storyboards. Modeling canfacilitate further analysis by identifying gaps in information, areas of miscommunication,\nor additional requirements.\n▶Net Promoter Score (NPS®). An index that measures the willingness of customers to\nrecommend an organization’s products or services to others. The score is used as a proxyfor gauging the customer’s overall satisfaction with an organization’s product or service\nand the customer’s loyalty to the brand.\n▶Prioritization schema. Prioritization schema are methods used to prioritize portfolio,\nprogram, or project components, as well as requirements, risks, features, or other productinformation. Examples include a multicriteria weighted analysis and the MoSCoW (musthave, should have, could have, and won’t have) method.\n▶Timebox. A timebox is a short, fixed period of time in which work is to be completed,\nsuch as 1 week, 2 weeks, or 1 month.\n4.5 METHODS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent methods are more likely to be useful in each of the performance domains. While \nthe needs of the delivery approach, product, and organizational environment will determine which methods are most applicable for a specific project, there are some performance domains that are more likely to make use of specific methods. Table 4-2 suggests the performance domain(s) where each method is most likely to be of use; however, the project manager and/or project team have the ultimate responsibility for selecting the right methods for their project.\nPMI Seventh Edition July 2021182\nPMBOK® GuideTable 4-2. Mapping of Methods Likely to Be Used in Each Performance Domain\nPerformance Domain\nMethod\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainlyPlannin g\nData Gathering and Analysis Methods:\nAlternatives analysis\nAssumptions and constraints analysisBenchmarkingBusiness justification analysis\nPayback period\nInternal rate of returnReturn on investmentNet present valueCost-benefit ratio\nCheck sheetCost of qualityDecision tree analysisEarned value analysisExpected monetary valueForecastingInfluence diagramLife cycle assessmentMake-or-buy analysisProbability and impact matrixProcess analysisRegression analysisRoot cause analysisSensitivity analysisSimulationStakeholder analysisSWOT analysisTrend analysisValue stream mappingVariance analysisWhat-if scenario analysisX X \nX \nX \nX \nX \nX \nX X X \nX X \nX X \nX \nX X \nX X X \nX X X X \nX \nX \nX X \nX X \nX X \nX \nX X \nX \nX \nX X X X \nX \nX \nX \nX X \nX \nX \nX X \nX \nX \nX \nX X X \nX X X X \nX \nX \nX X \nX \nPMI Seventh Edition July 2021183\nSection 4 – Models, Methods, and ArtifactsTable 4-2. Mapping of Methods Likely to Be Used in Each Performance Domain (cont.)\nPerformance Domain\nMethod\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainlyPlannin g\nEstimating", + "chunk_order_index": 81, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-f459e762482aee7e7573a73fe673e666": { + "tokens": 1200, + "content": "X X \nX X X X \nX \nX \nX X \nX \nPMI Seventh Edition July 2021183\nSection 4 – Models, Methods, and ArtifactsTable 4-2. Mapping of Methods Likely to Be Used in Each Performance Domain (cont.)\nPerformance Domain\nMethod\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainlyPlannin g\nEstimating Methods:\nMeeting and Event Methods:Affinity grouping\nAnalogous estimatingFunction pointsMultipoint estimatingParametric estimatingRelative estimatin g\nSingle-point estimatingStory point estimationWideband Delphi\nBacklog refinement\nBidder conferenceChange control boardDaily standupIteration reviewIteration planningKickoffLessons learnedPlanningProject closeoutProject reviewRelease planningRetrospectiveRisk reviewStatusSteering committee\nImpact mappingModelingNet Promoter Score\n®\nPrioritization schemaTimeboxOther Methods:X X X X X X X \nX \nX X X \nX X X \nX X \nX X X \nX \nX X \nX \nX \nX \nX X X X \nX X X X \nX X \nX X \nX X \nX \nX \nX X \nX \nX X \nX \nX \nX \nX \nX \nX X \nX \nX \nX X X \nX X X X \nX X \nX X \nX X \nX \nX X \nPMI Seventh Edition July 2021184\nPMBOK® Guide4.6 COMMONLY USED ARTIFACTS\nAn artifact is a template, document, output, or project deliverable. There are many documents \nor deliverables that are not described here, either because (a) they are somewhat generic, such as \nupdates; (b) they are industry specific; or (c) they are a result of a specific method that was used to create it, for example, while cost estimates are an important artifact, they are the result of various estimating methods.\nThe content in this section is not meant to describe how to develop or create an artifact. \nThe descriptions are presented at a high level as project managers and/or project team members are expected to tailor the use of these artifacts to meet the needs of their particular project. There is more detailed information on these and other artifacts from many sources, including PMIstandards+.\n4.6.1 STRATEGY ARTIFACTS\nDocuments that are created prior to or at the start of the project that address strategic, business, \nor high-level information about the project. Strategy artifacts are developed at the start of a project and do not normally change, though they may be reviewed throughout the project.\n▶Business case. A business case is a value proposition for a proposed project that may\ninclude financial and nonfinancial benefits.\n▶Business model canvas. This artifact is a one-page visual summary that describes the\nvalue proposition, infrastructure, customers, and finances. These are often used in leanstart-up situations.\n▶Project brief. A project brief provides a high-level overview of the goals, deliverables, and\nprocesses for the project.\n▶Project charter. A project charter is a document issued by the project initiator or sponsor\nthat formally authorizes the existence of a project and provides the project manager withthe authority to apply organizational resources to project activities.\n▶Project vision statement. This document is a concise, high-level description of the project\nthat states the purpose, and inspires the project team to contribute to the project.\n▶Roadmap. This document provides a high-level time line that depicts milestones, significantevents, reviews, and decision points.\nPMI Seventh Edition July 2021185\nSection 4 – Models, Methods, and Artifacts4.6.2 LOGS AND REGISTERS\nLogs and registers are used to record continuously evolving aspects of the project. They are \nupdated throughout the project. The terms log and register are sometimes used interchangeably. \nIt is not uncommon to see the term risk register\n or risk log referring to the same artifact.\n▶Assumption log. An assumption is a factor that is considered to be true, real, or certain,\nwithout proof or demonstration. A constraint is a factor that limits the options for managing\na project, program, portfolio, or process. An assumption log records all assumptions andconstraints throughout the project.\n▶Backlog. A backlog is an ordered list of work to be done. Projects may have a product\nbacklog, a requirements backlog, impediments backlog, and so forth. Items in a backlog areprioritized. The prioritized work is then scheduled for upcoming iterations.\n▶Change log. A change log is a comprehensive list of changes submitted during theproject and their current status. A change can be a modification to any formally controlleddeliverable, project management plan component, or project document.\n▶Issue log. An issue is a current condition or situation that may have an impact on the\nproject objectives. An issue log is used to record and monitor information on active issues.Issues are assigned to a responsible party for follow up and resolution.\n▶Lessons learned register. A lessons learned register is used to record knowledge gained\nduring a project, phase, or iteration so that it can be used to improve future performancefor the project team and/or the organization.\n▶Risk-adjusted backlog. A risk-adjusted backlog is a backlog that includes work and actions\nto address threats and opportunities.\n▶Risk register. A risk register is a repository in which outputs of risk management\nprocesses are recorded. Information in a risk register can include the person responsiblefor managing the risk, probability, impact, risk score, planned risk responses, and otherinformation used to get a high-level understanding of individual risks.\n▶Stakeholder register. A stakeholder", + "chunk_order_index": 82, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-c3d3dc993ee43b6e8defa62499696602": { + "tokens": 1200, + "content": "organization.\n▶Risk-adjusted backlog. A risk-adjusted backlog is a backlog that includes work and actions\nto address threats and opportunities.\n▶Risk register. A risk register is a repository in which outputs of risk management\nprocesses are recorded. Information in a risk register can include the person responsiblefor managing the risk, probability, impact, risk score, planned risk responses, and otherinformation used to get a high-level understanding of individual risks.\n▶Stakeholder register. A stakeholder register records information about project\nstakeholders, which includes an assessment and classification of project stakeholders.\nPMI Seventh Edition July 2021186\nPMBOK® Guide4.6.3 PLANS\nA plan is a proposed means of accomplishing something. Project teams develop plans for \nindividual aspects of a project and/or combine all of that information into an overarching project \nmanagement plan. Plans generally are written documents but may also be reflected on visual/ \nvirtual whiteboards.\n▶Change control plan. A change control plan is a component of the project management\nplan that establishes the change control board, documents the extent of its authority, anddescribes how the change control system will be implemented.\n▶Communications management plan. This plan is a component of the project, program,\nor portfolio management plan that describes how, when, and by whom information aboutthe project will be administered and disseminated.\n▶Cost management plan. This plan is a component of a project or program managementplan that describes how costs will be planned, structured, and controlled.\n▶Iteration plan. This plan is a detailed plan for the current iteration.\n▶Procurement management plan. This plan is a component of the project or program\nmanagement plan that describes how a project team will acquire goods and services fromoutside of the performing organization.\n▶Project management plan. The project management plan is a document that describes\nhow the project will be executed, monitored and controlled, and closed.\n▶Quality management plan. This plan is a component of the project or programmanagement plan that describes how applicable policies, procedures, and guidelines\nwill be implemented to achieve the quality objectives.\n▶Release plan. This plan sets expectations for the dates, features, and/or outcomes\nexpected to be delivered over the course of multiple iterations.\n▶Requirements management plan. This plan is a component of the project or program\nmanagement plan that describes how requirements will be analyzed, documented,\nand managed.\n▶Resource management plan. This plan is a component of the project management plan\nthat describes how project resources are acquired, allocated, monitored, and controlled.\n▶Risk management plan. This plan is a component of the project, program, or portfoliomanagement plan that describes how risk management activities will be structured\nand performed.\nPMI Seventh Edition July 2021187\nSection 4 – Models, Methods, and Artifacts▶Scope management plan. This plan is a component of the project or program\nmanagement plan that describes how the scope will be defined, developed, monitored,\ncontrolled, and validated.\n▶Schedule management plan. This plan is a component of the project or program\nmanagement plan that establishes the criteria and the activities for developing,\nmonitoring, and controlling the schedule.\n▶Stakeholder engagement plan. This plan is a component of the project management\nplan that identifies the strategies and actions required to promote productive involvementof stakeholders in project or program decision making and execution.\n▶Test plan. This document describes deliverables that will be tested, tests that will beconducted, and the processes that will be used in testing. It forms the basis for formallytesting the components and deliverables.\n4.6.4 HIERARCHY CHARTS\nHierarchy charts begin with high-level information that is progressively decomposed into \ngreater levels of detail. The information at the upper levels encompasses all the information at the lower or subsidiary levels. Hierarchy charts are often progressively elaborated into greater levels of detail as more information is known about the project.\n▶Organizational breakdown structure. This chart is a hierarchical representation of the\nproject organization, which illustrates the relationship between project activities and theorganizational units that will perform those activities.\n▶Product breakdown structure. This chart is a hierarchical structure reflecting a product’s\ncomponents and deliverables.\n▶Resource breakdown structure. This chart is a hierarchical representation of resources\nby category and type.\n▶Risk breakdown structure. This chart is a hierarchical representation of potential\nsources of risks.\n▶Work breakdown structure. This chart is a hierarchical decomposition of the total\nscope of work to be carried out by the project team to accomplish the project objectivesand create the required deliverables.\nPMI Seventh Edition July 2021188\nPMBOK® Guide4.6.5 BASELINES\nA baseline is the approved version of a work product or plan. Actual performance is compared \nto baselines to identify variances.\n▶Budget. A budget is the approved estimate for the project or any work breakdown\nstructure (WBS) component or any schedule activity.\n▶Milestone schedule. This type of schedule presents milestones with planned dates.\n▶Performance measurement baseline. Integrated scope, schedule, and cost baselines\nare used for comparison to manage, measure, and control project execution.\n▶Project schedule. A project schedule is an output of a schedule model that presents\nlinked activities with planned dates, durations, milestones, and resources.\n▶Scope baseline. This baseline is the approved version of a scope statement, work\nbreakdown structure (WBS), and its associated WBS dictionary that can be changed usingformal change control procedures and is used as the basis for comparison to actual results.\n4.6.6 VISUAL DATA AND INFORMATION\nVisual data and information are artifacts that organize and present data and information in \na visual format, such as charts, graphs, matrices,", + "chunk_order_index": 83, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-7e729eeb9b7010fa75aac4845f5ea366": { + "tokens": 1200, + "content": "dates, durations, milestones, and resources.\n▶Scope baseline. This baseline is the approved version of a scope statement, work\nbreakdown structure (WBS), and its associated WBS dictionary that can be changed usingformal change control procedures and is used as the basis for comparison to actual results.\n4.6.6 VISUAL DATA AND INFORMATION\nVisual data and information are artifacts that organize and present data and information in \na visual format, such as charts, graphs, matrices, and diagrams. Visualizing data makes it easier to absorb data and turn it into information. Visualization artifacts are often produced after data have been collected and analyzed. These artifacts can aid in decision making and prioritization.\n▶Affinity diagram. This diagram shows large numbers of ideas classified into groups forreview and analysis.\n▶Burndown/burnup chart. This chart is a graphical representation of the work remainingin a timebox or the work completed toward the release of a product or project deliverable.\n▶Cause-and-effect diagram. This diagram is a visual representation that helps trace an\nundesirable effect back to its root cause.\n▶Cumulative flow diagram (CFD). This chart indicates features completed over time,features in development, and those in the backlog. It may also include features atintermediate states, such as features designed but not yet constructed, those in qualityassurance, or those in testing.\nPMI Seventh Edition July 2021189\nSection 4 – Models, Methods, and Artifacts▶Cycle time chart. This diagram shows the average cycle time of the work items completed\nover time. A cycle time chart may be shown as a scatter diagram or a bar chart.\n▶Dashboards. This set of charts and graphs shows progress or performance against\nimportant measures of the project.\n▶Flowchart. This diagram depicts the inputs, process actions, and outputs of one or more\nprocesses within a system.\n▶Gantt chart. This bar chart provides schedule information where activities are listed on thevertical axis, dates are shown on the horizontal axis, and activity durations are shown\nas horizontal bars placed according to start and finish dates.\n▶Histogram. This bar chart shows the graphical representation of numerical data.\n▶Information radiator. This artifact is a visible, physical display that provides information\nto the rest of the organization, enabling timely knowledge sharing.\n▶Lead time chart. This diagram shows the trend over time of the average lead time of theitems completed in work. A lead time chart may be shown as a scatter diagram or a bar chart.\n▶Prioritization matrix. This matrix is a scatter diagram where effort is shown on the\nhorizontal axis and value on the vertical axis, divided into four quadrants to classify items\nby priority.\n▶Project schedule network diagram. This graphical representation shows the logical\nrelationships among the project schedule activities.\n▶Requirements traceability matrix. This matrix links product requirements from their\norigin to the deliverables that satisfy them.\n▶Responsibility assignment matrix (RAM). This matrix is a grid that shows the project\nresources assigned to each work package. A RACI chart is a common way of showingstakeholders who are responsible, accountable, consulted, or informed and are associatedwith project activities, decisions, and deliverables.\n▶Scatter diagram. This graph shows the relationship between two variables.\n▶S-curve. This graph displays cumulative costs over a specified period of time.\n▶Stakeholder engagement assessment matrix. This matrix compares current and\ndesired stakeholder engagement levels.\nPMI Seventh Edition July 2021190\nPMBOK® Guide▶Story map. A story map is a visual model of all the features and functionality desired for\na given product, created to give the project team a holistic view of what they are buildingand why.\n▶Throughput chart. This chart shows the accepted deliverables over time. A throughputchart may be shown as a scatter diagram or a bar chart.\n▶Use case. This artifact describes and explores how a user interacts with a system toachieve a specific goal.\n▶Value stream map. This is a lean enterprise method used to document, analyze, andimprove the flow of information or materials required to produce a product or service for\na customer. Value stream maps can be used to identify waste.\n▶Velocity chart. This chart tracks the rate at which the deliverables are produced, validated,\nand accepted within a predefined interval.\n4.6.7 REPORTS\nReports are formal records or summaries of information. Reports communicate relevant \n(usually summary level) information to stakeholders. Often reports are given to stakeholders who are interested in the project status, such as sponsors, business owners, or PMOs.\n▶Quality report. This project document includes quality management issues,\nrecommendations for corrective actions, and a summary of findings from quality controlactivities. It may include recommendations for process, project, and product improvements.\n▶Risk report. This project document is developed progressively throughout the risk\nmanagement processes and summarizes information on individual project risks and thelevel of overall project risk.\n▶Status report. This document provides a report on the current status of the project.\nIt may include information on progress since the last report and forecasts for cost andschedule performance.\nPMI Seventh Edition July 2021191\nSection 4 – Models, Methods, and Artifacts4.6.8 AGREEMENTS AND CONTRACTS\nAn agreement is any document or communication that defines the intentions of the parties. \nIn projects, agreements take the form of contracts or other defined understandings. A contract is \na mutually binding agreement that obligates the seller to provide the specified product, service, or result and obligates the buyer to pay for it. There are different types of contracts, some of which fall within a category of fixed-price or cost-reimbursable contracts.\n▶Fixed-price contracts. This category of contract involves setting a fixed", + "chunk_order_index": 84, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-0b9b64e1de90c504763ea89d2acc71f6": { + "tokens": 1200, + "content": "any document or communication that defines the intentions of the parties. \nIn projects, agreements take the form of contracts or other defined understandings. A contract is \na mutually binding agreement that obligates the seller to provide the specified product, service, or result and obligates the buyer to pay for it. There are different types of contracts, some of which fall within a category of fixed-price or cost-reimbursable contracts.\n▶Fixed-price contracts. This category of contract involves setting a fixed price for a\nwell-defined product, service, or result. Fixed-price contracts include firm fixed price (FFP),fixed-price incentive fee (FPIF), and fixed price with economic price adjustment (FP-EPA),among others.\n▶Cost-reimbursable contracts. This category of contracts involves payments to the seller\nfor actual costs incurred for completing the work plus a fee representing seller profit. Thesecontracts are often used when the project scope is not well defined or is subject to frequentchange. Cost-reimbursable contracts include cost plus award fee (CPAF), cost plus fixed fee(CPFF), and cost plus incentive fee (CPIF).\n▶Time and materials (T&M). This contract establishes a fixed rate, but not a precisestatement of work. It can be used for staff augmentation, subject matter expertise,\nor other outside support.\n▶Indefinite delivery indefinite quantity (IDIQ). This contract provides for an indefinitequantity of goods or services, with a stated lower and upper limit, and within a fixedtime period. These contracts can be used for architectural, engineering, or informationtechnology engagements.\n▶Other agreements. Other types of agreements include memorandum of understanding\n(MOU), memorandum of agreement (MOA), service level agreement (SLA), basic orderingagreement (BOA), among others.\nPMI Seventh Edition July 2021192\nPMBOK® Guide4.6.9 OTHER ARTIFACTS\nThe documents and deliverables described here do not fit into a specific category; however, \nthey are important artifacts that are used for a variety of purposes.\n▶Activity list. This document provides a tabulation of schedule activities that shows the\nactivity description, activity identifier, and a sufficiently detailed scope of work description\nso project team members understand what work is to be performed.\n▶Bid documents. Bid documents are used to request proposals from prospective sellers.Depending on the goods or services needed, bid documents can include, among others:\n▹Request for information (RFI),\n▹Request for quotation (RFQ), and\n▹Request for proposal (RFP).\n▶Metrics. Metrics describe an attribute and how to measure it.\n▶Project calendar. This calendar identifies working days and shifts that are available\nfor scheduled activities.\n▶Requirements documentation. This document is a record of product requirements and\nrelevant information needed to manage the requirements, which includes the associatedcategory, priority, and acceptance criteria.\n▶Project team charter. This document records the project team values, agreements,\nand operating guidelines, and establishes clear expectations regarding acceptable behaviorby project team members.\n▶User story. A user story is a brief description of an outcome for a specific user, which\nis a promise of a conversation to clarify details.\n4.7 ARTIFACTS APPLIED ACROSS PERFORMANCE DOMAINS\nDifferent artifacts are more likely to be useful in different performance domains. While the \ndelivery approach, product, and organizational environment will determine which artifacts are most applicable for a specific project, there are some performance domains that are more likely to make use of specific artifacts. Table 4-3 suggests the performance domain(s) where each artifact is more likely to be of use; however, the project manager and/or project team has the ultimate responsibility for selecting and tailoring the artifacts for their project.\nPMI Seventh Edition July 2021193\nSection 4 – Models, Methods, and ArtifactsTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain\nPerformance Domain\nArtifact\nAssumption log\nBacklogChange logIssue logLessons learned registerRisk-adjusted backlogRisk registerStakeholder register\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nBusiness caseProject briefProject charterProject vision statementRoadmap\nChange control planCommunications management planCost management planIteration planProcurement management planProject management planQuality management planRelease planRequirements management planResource management planRisk management planScope management planX X \nX X \nX X X X \nX X \nX X X X X \nX X X \nX X \nX X \nX X X X X X X \nX \nX X X X X X X X X X X X X X X X \nX X \nX X \nX \nX X X X \nX X Log and Register Artifacts:\nPlan Artifacts:Strategy Artifacts:\nPMI Seventh Edition July 2021194\nPMBOK® GuideTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain (cont.)\nBudget\nMilestone schedulePerformance measurement baselineProject scheduleScope baselineOrganizational breakdown structure\nProduct breakdown structureResource breakdown structureRisk breakdown structureWork breakdown structure\nAffinity diagramBurn chartCause-and-effect diagramCycle time chartCumulative flow diagramDashboardFlow chartGantt chartHistogramInformation radiatorLead time chartPrioritization matrixPerformance Domain\nArtifact\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nBaseline Artifacts:\nVisual Data and Information Artifacts:Hierarchy Chart Artifacts:Schedule management plan\nStakeholder engagement planTest plan\nX X X \nX X \nX X X \nX X \nX X \nX", + "chunk_order_index": 85, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-fb80513350cb9e632e2a0000eb3ad6c7": { + "tokens": 1200, + "content": "Flow chartGantt chartHistogramInformation radiatorLead time chartPrioritization matrixPerformance Domain\nArtifact\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nBaseline Artifacts:\nVisual Data and Information Artifacts:Hierarchy Chart Artifacts:Schedule management plan\nStakeholder engagement planTest plan\nX X X \nX X \nX X X \nX X \nX X \nX X \nX X X \nX X \nX X \nX X X X X X X X X \nX X \nX X X X X \nX X \nX \nX \nX X \nX X X X \nX \nX \nX \nX X X \nX \nX X \nX X \nX X X \nX X X X \nX X X X \nPMI Seventh Edition July 2021195\nSection 4 – Models, Methods, and ArtifactsTable 4-3. Mapping of Artifacts Likely to Be Used in Each Performance Domain (cont.)\nPerformance Domain\nArtifact\nQuality report\nRisk reportStatus report\nTeam\nStakeholde rs\nDev Approach\nand Life Cycle\nPlannin g\nProjec t Wo rk\nDelivery\nMeasuremen t\nUnce rtainty\nFixed-priceCost-reimbursableTime and materialsIndefinite time indefinite quantity (IDIQ)Other agreementsAgreements and Contracts:Project schedule network diagram\nRequirements traceability matrixResponsibility assignment matrixScatter diagramS-curveStakeholder engagement assessment matrixStory mapThroughput chartUse caseValue stream mapVelocity chart\nReport Artifacts:\nOther Artifacts:\nActivity list\nBid documentsMetricsProject calendarsRequirements documentationProject team charterUser storyX \nX X \nX X X \nX X X X \nX \nX X \nX \nX X X \nX X X \nX \nX X X X \nX X \nX X \nX X X X \nX X X X \nX \nX X X \nX X \nX X X X \nX X X \nX \nX \nX X X \nX X \nX X \nX \nX X \nX X X X \nX \nX \nX \nX X X X X X X X \nX X X X X \nX X \nX \nPMI Seventh Edition July 2021196\nPMBOK® GuideREFERENCES\n[1] Project Management Institute. 2020. The Standard for Project Management. Newtown Square,\nPA: Author.\n[2] Project Management Institute. 2019. The Standard for Earned Value Management. Newtown Square,\nPA: Author.\nPMI Seventh Edition July 2021197\nAppendix X1Appendix X1\nContributors and Reviewers of \nThe Standard for Project Management and \nA Guide to the Project Management Body \nof Knowledge\n – Seventh Edition\nThe Project Management Institute is grateful to all of the contributors for their support and \nacknowledges their outstanding contributions to the project management profession.\nX1.1 CONTRIBUTORS\nThe following list of contributors had input into shaping the content of the standard and/or the \nguide. Individuals listed in bold served on the PMBOK® Guide – Seventh Edition Development Team. \nInclusion of an individual’s name in the list does not represent his or her approval or endorsement \nof the final content in all its parts.\nCynthia Snyder Dionisio, Chair, \nMBA, PMI-ACP, PMP\nMichael Griffiths, Cochair, PMI-ACP, PMP\nNicholas Clemens, PMI-ACP, PMPJean Luc Favrot, PMI-ACP, PMP, SPC5Jesse Fewell, CST, PMI-ACP, PMPEmily Jingjing Hu, MPM, PRINCE2, PMPBetsy Kauffman, PMI-ACP, PMP, ICP-ACCNader K. Rad, PMPGiampaolo Marucci, PhD, PMI-ACP, \nPMP, CSM\nKlaus Nielsen, MBA, PMI-ACP, PMPMaria Specht, MSc, PMP, NLPMaricarmen Suarez, MBA, PMP, PgMPLaurent Thomas, PhD, SPC, PMI-ACP, PMPJorge Federico Vargas Uzaga, PMPMike Cooley, CSM, SCPM, PMPDiana E. A.García SánchezCarlos Gonzalez BejaranoVenkatram Vasi MohanvasiMarwan Abdalla, MBA, PMI-RMP, PMPAbdalla Yassin Abdalla Mohammed, \nEng, MBA, PMI-RMP, PMP\nMajed Abdeen, MSc, PMP, TOGAFHabeeb Abdulla, MS, CSM, PMPTetsuhide Abe, PMPAli Abedi, PhD, CSM, PMI-ACP, PMPCarlos Acuña, PMP, PgMP, PfMPRenee Adair, PMPAlbert Agbemenu, MSc, PMPKevin Aguanno, CMC, PMI-ACP, PMPFawad Ahmad Khan, PMI-PBA, PMPPrescort Leslie Ahumuza, Agile SM, CAPM, PMPAli Akbar Forouzesh NejadPhil AkinwaleEmi Akiode, PMPTarik Al Hraki, MBA, PMI-RMP, PMPAhmed Alageed, PhD, PMI-ACP, PMPRuqaya Al Badi, PMPFrancesco Albergo, PMP\nPMI Seventh Edition July 2021198\nPMBOK® GuideAmer Albuttma, PMI-SP, PMP\nMohamed Aldoubasi, Eng, MBA, PMI-RMP, PMPEmad Al Ghamdi, Eng, EMBA, PMPAhmed Ali Eziza, Eng, PMP, IPMO-EMehdi Alibakhshi, PMI-PBA", + "chunk_order_index": 86, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-7d1e92ce15d0896dc4aa0e6a272b9863": { + "tokens": 1200, + "content": "PMI-ACP, PMPRuqaya Al Badi, PMPFrancesco Albergo, PMP\nPMI Seventh Edition July 2021198\nPMBOK® GuideAmer Albuttma, PMI-SP, PMP\nMohamed Aldoubasi, Eng, MBA, PMI-RMP, PMPEmad Al Ghamdi, Eng, EMBA, PMPAhmed Ali Eziza, Eng, PMP, IPMO-EMehdi Alibakhshi, PMI-PBA, PMPHammam Alkouz, MBA, PMI-RMP, PMPMichel Allan, MBA, PMI-RMP, PMPSonja Almlie, CCBA, PMI-ACP, PMPAhmad Al-Musallami, PMI-ACP, PMI-SP, PMPMoajeb Almutairi, PMPHusain Al-Omani, PMP, PgMP, PfMPAhmed Alsenosy, PHD, PMP, PgMP, PfMPMohand Alsikhan, PMP, CISMAbdulrahman Alulaiyan, MBA, CCMP, PMPCarlos Alvarez G., PMPJaime Andres Alvarez Ospina, \nMBA, PMI-RMP, PMP\nNahlah Alyamani, PMI-ACP, PMP, PgMPAngelo Amaral, PSM, PMI-ACP, PMPShahin Amiri, MBA, PMPSerge Amon, MBA, PMPAnabella Amoresano, PMPAshwani Anant, PMI-RMP, PMI-SP, PMPFilipy Henrique Bonfim Andrade, Eng, GPjr, PMPDavid AnyachoCharalampos Apostolopoulos, PhD, PgMP, PfMPAlejandro Gabriel Aramburu, PMPChristine ArasKenichiro Aratake, PMPViviane Arazi, PMP, PgMPEileen ArnoldReza Atashfaraz, MSc, PMPSivaram Athmakuri, PMP, PMI-ACP, PMI-PBASharaf Attas, PMI-RMP, PMPCarlos Augusto Freitas, CAPM, PMPShahin Avak, PMPZaheer Ahmad Awan, CSM, PMI-ACP, PMPKhaled Azab, ITIL4, PMPVahid Azadmanesh, DBA, PMP, PfMPEmad E. Aziz, PMP, PgMP, PfMPAkbar Azwir, PMO-CP, PMI-SP, PMPOsama Azzam, HBDP, ICYB, PMPNabeel BabekerAmgad Badewi, PhD, MSP, AP, PMPAmir Bahadorestani, RA, TAKenneth Bainey, MBA, CCP, PMPJardel BaldoKristi Baldwin, RYT, PMPPablo Bálsamo, PMI-RMP, PMI-SP, PMPZhang Baozhong, MSc, PMP, PgMPManuel F. Baquero V., PhD, MSc, PMPHaytham Baraka, PMI-RMP, PMP, CCPMohammad Moneer Barazi, MBA, PMPMaria Cristina Barbero, MBA, PMI-ACP, PMPAndre Barcaui, PhD, PMI-ACP, PMPAmalia Barthel, PMPSaeed BaselmEduardo Bazo Safra, Mg, PMPPierre Beaudry, Jr., MGP, CSM, PMPGregory Becker, PMPMartial Bellec, PMI-ACP, PMP, PgMPPeter Berndt de Souza Mello, PgC, PMI-SP, PMPRafael Beteli Silva Zanon, MBA, PMI-PBA, PMPJeff Beverage, CSP-SM, PMI-ACP, PMPShantanu Bhamare, CSM, LIMC, PMPAjay Bhargove, BE, PGDBA, PMPSanjoy Bhattacharjee, MSBIA, PMI-ACP, PMPDeepa Bhide, PhD, PMPŞafak Bilgi AkdemirMohammed Bin Askar, PMP, PgMP, PfMPNigel Blampied, PhD, PE, PMPGreta Blash, CDAI, PgMP, PMI-PBAStephen BlashGisela Bolbrügge, PhD, PSM1, PMPKiron Bondale, PMI-ACP, PMI-RMP, PMPSimona Bonghez, PhD, PMPMariana Borga, MBA, LSSBB, PMPRaul Borges, PMPDavid Borja Padilla, MSc, PMI-RMP, PMPBoshoff, PMP, PRINCE2, AgilePMMiguel A. Botana Cobas, MBA, PMPPieter Botman, EngRodolphe Boudet, PMPFarid BougesBetty Boushey, PMPYounes Bousnah, MBA, PMPAndrea BoxsleyBlaine Boxwell, MBA, PMPJoan BoyadjmanPadmakar Boyapati, PMPDidier Brackx, PhD, EMS, P3O, PMPLeslie Bradshaw\nPMI Seventh Edition July 2021199\nAppendix X1Damiano Bragantini, PMP\nFabio Braggio, MBA, PMPEllie Braham, AOP, PMPFernando Brandão, PMPJim Branden, MBA, PMPWayne R. Brantley, MSEd, PMI-ACP, PMPMyrna Bravo, PMPBernd BrierAna Briseño, MTIA, PMPSyed Asad Hasnain Bukhari, MBA, MIS, PMPSyed Qamar Abbas Bukhari, MBA, MSPM, PMPGizem BuluRev. Andy Burns, CDAI, PMI-ACP, PMPRobert Buttrick, BEng, CEng, FAPM HonDieter Butz, PhD, PMPK", + "chunk_order_index": 87, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-2df0bf2d2ccb2ede1561955f26e7be5b": { + "tokens": 1200, + "content": ", PMI-ACP, PMPMyrna Bravo, PMPBernd BrierAna Briseño, MTIA, PMPSyed Asad Hasnain Bukhari, MBA, MIS, PMPSyed Qamar Abbas Bukhari, MBA, MSPM, PMPGizem BuluRev. Andy Burns, CDAI, PMI-ACP, PMPRobert Buttrick, BEng, CEng, FAPM HonDieter Butz, PhD, PMPKarl Buxton, PMPAndrea Caccamese, PRINCE2, PMPRoberto A. Cadena Legaspi, MCI, PMPFeren Calderwood, MSc, PMPSaverio Calvano, MSc, PMPDiego Calvetti, MSc, PMPLuis Alberto Cordero-Calvo, MPM, PMPAdrien Camp, MEng, PMI-ACP, PMPBryan Campbell, PMI-ACP, PMP, PgMPCharles Campbell, PhD, PMPHeberth Campos, PMI-ACP, PMI-RMP, PMPRicardo P. Cantú, MBA, MSc, PMPAlexandre Caramelo Pinto, MSc, TOGAF, PMPAndrea Carbert, PMP, PMI-ACPCheryl Carstens, CAPM, PMPChris Cartwright, MPMLaura Solano De CarvalhoPietro Casanova, PMPShoshanna CasterLarry Cebuano, PMPManu Chandrashekhar, PMPPaul C. Charlesraj, MS, MRICS, AMASCEPanos Chatzipanos, PhD, FASCE, D.WRENguyen Si Trieu Chau, PMP, PgMP, PfMPJing ChenLily Chen, PMPKarl Cheney, PMP, MPM, MPARamesh Chepur, CSQA, PRINCE2, PMPMona ChevisOussama Chriss, PMPJorge Clemente, CPA, PMPXavier Clerfeuille, MSc, NLPAshley Cometto, MBASergio Luis Conte, PhD, PMI-PBA, PMI-ACP, PMPCarlos Contreras G., CSM, CSPO, PMPHelio CostaPathica CoulatThaigo CristoJoshua Cunio, CPD, LSSBB, PMPJoseph Czarnecki, SCPM, PMPAlexandre Venâncio da SilvaLong Dam, PMP, PgMP, PfMPGraziella D'Amico, CBAP, PMI-PBA, PMPFarshid Damirchilo, MSc, PMPTeodor Darabaneanu, PMPRussell Darnall, DM, MPM, PMPYazmine Darcy, MBA, PMI-ACP, PMPKaustav Das, MCP, PMPGina Davidovic, PMP, PgMPCurtis DavisJosé de Franca, PMPViviane de Paula, PMPMichael DeCicco, CSM, PMPMustafa Degerli, PhD, PSM, PMI-RMP, PMPMurat DengizValerie Denney, DBA, PMPSaju Devassy, MBA, POPM, PMPYaso Dhatry Kala, LSSMBBPhilip DiabMichelle Gois Gadelha DiasDanil DintsisGilberto Francisco Do Vale, MBA PMRoland Doerr, MBA, CSM, PMPMustafa Donmez, PMPBala Doppalapudi, MBA, B.Tech, PMPJorge A. Dueñas Lozano, VMA, PMPJosée Dufour, PMPDarya DumaEunice Duran, PMP, PgMP, PfMPArijit Dutt, PMPValecia Dyett, PhD, PMPNicolas Egiaian, PMPBechir El HosniSalwa El Mesbahi, PMPClaude El Nakhel Khalil, \nPharmD, MBA, PMP\nAbdulrahman Eldabak, PMP\nPMI Seventh Edition July 2021200\nPMBOK® GuideRafik Eldaly\nSameh Eldeeb Thabet Wahba, \nEng, CPMC, PMC, PMP\nAhmed Eldeep, PMI-RMP, PMPWalla Siddig Elhadey Mohamed, \nPMI-ACP, PMI-RMP, PMP\nAhmed Elhakim, PMI-RMP, PMPOsman Elhassan, MBA, PMI-RMP, PMPAileen Ellis, CSM, PMP, PgMPWael Elmetwaly, PMI-ACP, PMPKhaled El-Nakib, MSc, PMI-RMP, PMPBasel El-Saady, PMPConstance EmersonAlgin Erozan, MSc, PMPFernando Escobar, MSc, PMPBehnam FaizabadiDelphine Falcoz, PMPSaurater (Sam) Faraday, \nMBA, PMI-ACP, PMI-RMP\nJamil FarajFereydoun Fardad, PMI-PBA, PMI-RMP, PMPJason FarleyJohn Farlik, DBA, PMI-ACP, PMPScott, Fass, MPA, PMPEdoardo Favari, PhD, PMPAmr Fayez Moustafa, Eng, SFC, SSYB, PMPZhang FengxiaoFelipe Fernandes Moreira, PMPRafael Fernando Ronces RosasGail Ferreira, PhD, SPC5, PMPCornelius Fichtner, CSM, PMPWilliam FlanaganLuis Alberto Flores, PhD, PMI-ACP, PMI-RMP, PMPGustavo Flouret, DBA, PMPLes Foley, MPM, MBA, PMPMitchell Fong, PEng, PMPLuis Eduardo Franca, PMO-CP, PMI-ACP, PMPKellen Sabrina Rodrigues Francisco, \nMBA, PSM I, PMP\nDouglas FrancoCarla", + "chunk_order_index": 88, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-235931335542e0a66c9d3f650ef3f2bb": { + "tokens": 1200, + "content": "SPC5, PMPCornelius Fichtner, CSM, PMPWilliam FlanaganLuis Alberto Flores, PhD, PMI-ACP, PMI-RMP, PMPGustavo Flouret, DBA, PMPLes Foley, MPM, MBA, PMPMitchell Fong, PEng, PMPLuis Eduardo Franca, PMO-CP, PMI-ACP, PMPKellen Sabrina Rodrigues Francisco, \nMBA, PSM I, PMP\nDouglas FrancoCarla FrazierMichael Frenette, SMC, ITCP, PMPRay Frohnhoefer, MBA, CCP, PMPMichelle FualeSteven Fullmer, MBA, CQ, PMPJeff Furman, CompTIA, CTT+, PMPNestor Gabarda Jr., ECE, PMI-ACP, PMPMarius Gaitan, Eng, PMI-PBA, PMPZsolt G. Gálfalvi, MSP, SCM, PRINCE2Sara Gallagher, PSM1, PMPJuan Gabriel Gantiva Vergara, \nPMI-ACP, PMI-RMP, PMP\nNapoleon Garde, PMPArtur Gasparyan, CSM, PMO-CP, PMPLouis-Charles GauthierEng. Fabio Gentilini, Eng, CAPM, PMPPaul Geraghty, BBS, CPMAKian Ghadaksaz, EVP, PMI-SP, PMPOmar Ghazi Ahmad, PMD Pro, MCAD, PMPArijit Ghosh, PGDBA, BComSubhajit Ghosh, PMI-ACP, PMP, PgMPHisham Ghulam, Eng, MBA, PMI-ACP, PMPPaul D. Giammalvo, PhD, MScPM, CCECarl M. Gilbert, PMI-ACP, PMP, PfMPTheofanis Giotis, MSc, PMI-ACP, PMPJörg Glunde, PMI-ACP, PMPDhananjay GokhaleHenrique Gomes da SilvaHerbert G. Gonder, IPMA B, ACE, PMPJaime González Vargas, PMPDiego Goyes Mosquera, MSc, PMPFalko Graf, MA, CMC, PMPIvan Graff, PE, CCP, PMPDenis Gritsiyenko, PhD, PMPPier Luigi Guida, PMS, PMP, PgMAntun GuidoniNagaraja Gundappa, MTech, CSM, PMPNandakumar Guruswamy, PMP, PgMPAnil Guvenatam, PMI-ACP, PMPMohamed Hamad Elneel, Eng, PMPNagy Hamamo, MSP, MoP, PMPKarishma Hans, MBA, PMPSharad HaraleSimon HarrisLaura HartMahmoud Hassaballa, \nEng, CVS, 6SigmaGB, PMP\nAkram Hassan, PMI-RMP, PMPHossam Hassan Anwar, \nMEng, PM, PMI-RMP, PMP\nShane Hastie, MIM, ICE-AC, ICE-PODamah Haubner\nPMI Seventh Edition July 2021201\nAppendix X1Hironori Hayashi, PMI-PBA, PMP, PfMP\nKristine Hayes Munson, CIA, CISM, PMPBin He, PMI-ACP, PMPAntonio Hernández Negrete, MBA, CSM, PMPAbel Herrera Sillas, DM, PMPSergio Herrera-Apestigue, P3O, PRINCE2, PMPShirley Hinton, PMI-ACP, PMPKenji Hiraishi, MsE, PMPMichael HoffpauirAlberto Holgado, MBAEden Holt, PMPRegina Holzinger, PhD, PMPGeorge Hord, PMPGheorghe Hriscu, CGEIT, PMPZayar Htun, ICM.PM, AGTI.ITVaretta Huggins, MS(IST), PMP, PgMPRitchie Hughes, CSM, CSPO, PMPEdward Hung, MBA, PMI-ACP, PMPDavid J. L. Hunter, MA, PMI-ACP, PMPSherif Hussein, PMP, PgMP, PfMPMohammed Elfatih Hussien Ibrahim, \nEng, MBA, PMI-RMP, PMP\nHany I. Zahran, SAMC, SSYB, VCA-DCVShuichi Ikeda, CBAP, CSM/CSPO, PMPDmitrii Ilenkov, PMPMuhammad A. B. Ilyas, PMI-ACP, PMP, PgMPAndrea Innocenti, CGEIT, PMPSuhail Iqbal, PMP, PgMP, PfMPIlya Ivanichkin, CSM, CSPO, PMPRavi Iyer, MS (M&E), MBA, PECan Izgi, PMPTony Jacob, C Eng, PMI-PBA, PMPMd Javeed, BE, PMPSuresh JayappaSrini Jeyakumar, PEng, PMPGreeshma Johnson, CSM, PMPJohn JohnsonTony Johnson, CSP, PgMP, PfMPGeorge Jucan, MBA, CMP, PMPJonathan Justus, MBA, BCA, PMPRami Kaibni, Eng, CBAP, PfMPOrhan Kalayci, ITIL, DevOps, PMPSinbong Kang, PhD, PMPAntoine Karam, PMP, PMI-RMPAlankar Karpe, PMI-ACP, PMPAras Kartouzian, PhDNaoki KasaharaRohit Kathuria, P.Eng, PMPNikhil Srinivasan Kaundinya, PMPRachel KeenGretta Kelzi, CTT+, EADA, PMPHarry Kendrick, MPM, C", + "chunk_order_index": 89, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-3e9b96f7d5170c2df4757a264aaa3641": { + "tokens": 1200, + "content": "han Kalayci, ITIL, DevOps, PMPSinbong Kang, PhD, PMPAntoine Karam, PMP, PMI-RMPAlankar Karpe, PMI-ACP, PMPAras Kartouzian, PhDNaoki KasaharaRohit Kathuria, P.Eng, PMPNikhil Srinivasan Kaundinya, PMPRachel KeenGretta Kelzi, CTT+, EADA, PMPHarry Kendrick, MPM, CSM, PMPSuhail Khaled, CSM, PMI-ACP, PMPMohamed Khalifa, PMP, PgMP, PfMPMehran KhalilnejadiAlexander KhaydarovDiwakar Killamsetty, CSM, PMPAriel Kirshbom, CSP, PMI-ACP, PMPHiroshi KiseAparna R. Kishore, MCA, CSM, PMPKonstantinos Kirytopoulos, \nDr Eng, MEng, PMP\nHadi KiyoumarsiHenry Kondo, PMP, PgMP, PfMPSteven Kopischke, MSPM, ITIL, PMPMarkus Kopko, PMP, PSMMaciej Koszykowski, PgMP, PMP, PMI-RMPSrikanth KotaRouzbeh Kotobzadeh, PMI-ACP, PMP, PfMPKevin Kovalic, MCP, CSSGB, PMPWayne KremlingMohsen Krichi, Eng, COBIT, ITIL 4, PMPRavindrakumar Kshirsagar, SPC, PMP, PgMPAshis Kumar GargKathy KuypersThierry Labriet, Prosci, PMPCédric Laffitte, PMPMarylene Lafon, PMPMarc LafontrinzHarisha Lakkavalli, PMP, PgMP, PfMPG Lakshmi Sekhar, PMI-PBA, PMI-SP, PMPArun Lal, PMPSoheil Lamei, PhD, PMP, PgMP, PfMPHagit Landman, MBA, PMI-SP, PMPOlivier Lazar, PMP, PgMP, PfMPChia Kuang Lee, PhD, CQRM, PMPOliver F. Lehmann, MSc, ACE, PMPRaman Lemtsiuhou, PSM II, PMPHarvey LevineRichard Lewis, MBA, PMPBing Li, PMPXujie Liang\nPMI Seventh Edition July 2021202\nPMBOK® GuideMei Lin, PMI-ACP, PMI-PBA, PMP\nKong Linghai, MD, PMPAn LiuKai LiuHaishan LiuTong LiuPablo Lledó, MSc, MBA, PMPAnand Lokhande, PSM, PMI-PBA, PMPStefania Lombardi, PhD, PMPCarlos López Javier, MBA, ME, PMPMarisa Andrea Lostumbo, MScPM, PMPHugo K. M. Lourenço, PMI-ACP, PMI-RMP, PMPSérgio Lourenço, PMI-RMP, PMPErin Danica Lovell, MBA, BRMP, PMPSophie Lowery, MBA, PMPPaolo LucenaFrancesco Ludovico, Eng, PMPSergio Oswaldo Lugo, MBA, SSMC, PMPIonel LumezianuMichele LuscianoAzam M. Zaqzouq, MCT, PMPM. Bhuvaneswari, BEAlejandro MacedaJan Magdi, MScGanesh Mahalingam, CSM, PMPPatrick Maillard, MBA, PMPAbhijit Maity, CBAP, PMP, PgMPKieran Major, MBA, PMPRichard Maltzman, PMPArun Mandalika, PMI-ACP, PMPHussam Mandil, MBA, PMI-ACP, PMPNicole Mangona, PMPNandhini Manikhavel, CSM, MBA, CAPMRasa Manikkam, PMPErasma Mariano, ESP GP, ICP, ITILAntonio Marino, Eng, PSM, PMI-ACP, PMPPhotoula Markou-Voskou, PMPOrlando Marone, PMI-ACP, PMPBernardo Marques, PMI-ACP, PMI-RMP, PMPLucía Márquez de la Plata, MBA, ACC, PMPDouglas Martin, CSP-SM, PMI-ACP, PMPCesar Ulises Martinez Garcia,\nSAFe SSM, PMI-ACP, PMP\nMercedes Martinez Sanz, PMPUlises MartinsRonnie Maschk, ASM, PMI-ACP, PMPFaraz Masood, MS-EE, MBA, PMPAbid Masood Ali, EngPuian Masudi Far, PhD, PMPMayte Mata Sivera, PMPTodd Materazzi, PMI-ACP, PMPKomal Mathur, PMP, CSMMohit Mathur, PMPCristiane da Silva MatosDavid Maynard, MBA, PMPDavid McDonald, MA, MBA, CSPOJon McGlothian, MBA, PMI-ACP, PMPAlain Patrick Medenou, MSc, PRINCE2, PMPMaite Meijide Montes, MS-Eng, MBA, PMPOrlando Mendieta, CSM, KMP I, PMPHamed MesinehaslMohamed MH. Elfouly, PhD, P, PMPLubomira Mihailova, MBA, MSP, PMPGloria J. Miller, PMI-ACP, PMPVladimir Mininel, PMPManuel Minute, CPIM, CGEIT, PMPAmr Miqdadi, CIPM, PMPNick Mirabella, PSNIKunihiko MishimaDavid E. Mitchell, PMPStephanie MoffattWolf Dieter Moggert, PMI", + "chunk_order_index": 90, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-129d98a083decc04793807f70023a8a7": { + "tokens": 1200, + "content": "Mohamed MH. Elfouly, PhD, P, PMPLubomira Mihailova, MBA, MSP, PMPGloria J. Miller, PMI-ACP, PMPVladimir Mininel, PMPManuel Minute, CPIM, CGEIT, PMPAmr Miqdadi, CIPM, PMPNick Mirabella, PSNIKunihiko MishimaDavid E. Mitchell, PMPStephanie MoffattWolf Dieter Moggert, PMI-ACP, PMI-PBA, PMPWalid Mohamed AhmedEman Mohamed El Rashidy, PMP, PgMPOmar Mohamed Sallam, PMI-RMP, PMI-SP, PMPIslam Mohamed Soliman, Eng, PMPAhmed Ishage Mohammed Musa, \nMBA, PMI-RMP, PMP\nShoeb Mohammed Nadeem Uddin, PMPMohamed Mohsen Mohamed Hussein, PMPJose Morales, DBA, PMPPaola Morgese, PMPAlessandro Moro, PSM-I, PMPChuck Morton, CSM, PMI-ACP, PMPHenrique Moura, PMI-ACP, PMI-RMPNitin Mukesh, PMPGaurav Mukherjee, CSM, PMPStephen MurefuWanja Murekio, MBA, PMPJennifer Murphy, B.Comm(Int), MBS, MScSyed Ahsan Mustaqeem, PE, PMPYassir Nagy, PMI-ACP, PMP, PgMP\nPMI Seventh Edition July 2021203\nAppendix X1Devan Naidu, MBA, PMP, PfMP\nBrijesh Nair, CEng, PMP, PgMPAsaya Nakasone, PMPSaed Namazi, MBA, PRINCE2, PMPSareesh NarayananSripriya V Narayanasamy, MCA, PMPZabihollah NasehiFaig Nasibov, PMPMahmoud Nasr, Eng., MSc, CPMAsad Naveed, MS-Eng, MEF-CECP, PMPKarthikeyan NB, MCA, CSM, PMPGundo Nevhutalu, MSc, PMPKian Ching Ng, MSc, PMPSam NicholsonEric Nielsen, PMP, CDAManisha Nigam, CSM, TOGAF 9, PMPAleksei Nikitin, PMI-ACP, PMI-RMP, PMPMohammad Ali Niroomand Rad, MArch, PMPJose Noguera, 6SBB, CSP0, PMPMichael Nollet, MBA, PMI-ACP, PMPEric Norman, PMP, PgMP, FellowPatryk Nosalik, EMBA, AgilePM, PMPToru Oda, PMPAntonio Oliva González, SMPC, SCPO, PMPErnesto OlivaresMatheus Angelini Vidigal de OliveiraTiago Chaves Oliveira, PMPAntonio Olivieri, PMI-ACP, PMI-RMP, PMPHabeeb Omar, PMP, PgMP, PfMPAustin Baraza Omonyo, PhD, P2 Pr, PMPStefan Ondek, PMPArivazhagan Ondiappan, \nPhD(hon), MBB, PMI-RMP, PMP\nMichael Ord, AccMIVMA, CPEng, RPEQStefano Orfei, PMI-PBA, PMPHenrique Ortega-Tenorio, MBA, PMPCristiano Ottavian, PRINCE2P, PMPRamesh P B, CAIIB, PMI-ACP, PMPAntonio PaganoVijayalakshmi S. Pai, PRINCE2, PMPRavindranath Palahalli, BE, PG ADR, PMPJorge Palomino Garcia, Eng, MBA, PMPHariyo PangarsoEmmanouil Papadakis, PhD, MSc, PMPPaul Paquette, MBA, PMI-RMP, PMPDivya Pareek, BTech, GMP-YLP (IIMB Alumna)Stéphane Parent, PMI-RMP, PMI-SP, PMPReginald Paul Parker, MS, CAS, PMPCristina ParodiSatyabrata Pati, PMPLaura Paton, MBA, PMI-PBA, PMPMarcus Paulus, MBA, P2P, PMPNeil Pearson, PhD, PMPSrinivasa Rao Pentapalli, \nCMQ/OE, LEED AP, PMP\nCraig A. Perue, MBA, CMQ/OE, PMPDana Persada, MBA, PMPPradeep PerumparambilMark PetersonYvan PetitBrian PhillipsDurga P Phuyal, MA, CDA, PMPPaolo Pierani, PSM, 6 Sigma, PMPKavita Pikle, PMPCrispin Kik Piney, PMP, PfMPJose Angelo Pinto, PMPDaniel Fernandes Pinto, MSc, PMPMassimo Pirozzi, MSc Eng, PrinPM, PMI-ACPFrank PolackAlejandro Polanco, SCPM, LPM, PMPAaron PorterNapoleon Posada, MBA, PMPSvetlana Prahova, PMP, CSPOB K Subramanya Prasad, CSM, PMPAdi Prasetyo, PrinPM, MEng, PRINCE2, PMPPedro Pretorius, MCom, PMPClaudia Prince, PMPCarl Pritchard, PMI-RMP, PMPCarl ProHossein RadmehrMedhat Ragab Metwaly, PMI-RMP, PMPSriramasundararajan Rajagopalan, PgMP, PfMPAnne Niroshi Rajamohan, MScSwetha Rajesh, ITIL, CSM, PMPKarthik Ramamurthy, MCA, MBA, PMPGurdev Randhawa, MBA,", + "chunk_order_index": 91, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-3ab161f95a3fd62de5afd0684c3eb02a": { + "tokens": 1200, + "content": "Com, PMPClaudia Prince, PMPCarl Pritchard, PMI-RMP, PMPCarl ProHossein RadmehrMedhat Ragab Metwaly, PMI-RMP, PMPSriramasundararajan Rajagopalan, PgMP, PfMPAnne Niroshi Rajamohan, MScSwetha Rajesh, ITIL, CSM, PMPKarthik Ramamurthy, MCA, MBA, PMPGurdev Randhawa, MBA, BE, PMPAlakananda Rao, MSc, PGDBA, PMPS. Raghavendra Rao, SAFe(Agi), CSM, PMPReda Rashwan, Eng, MCP, AmiChemE, PMPRahul Rathod, MSPM, MBA, PMPSteve RatkajP. Ravikumar, PMI-ACP, PMP, PgMP\nPMI Seventh Edition July 2021204\nPMBOK® GuideKris Ravuvari, BSc Tech, M. Tech, PMP\nMohammad Yawar Raza, Eng., PMI-ACPKrupakara Reddy, PRINCE2, SMC, PMPS. Sreenivasula Reddy, MTech., MIELucas Rocha RegoNabeel Ur Rehman,\nEng, PMI-ACP, PMI-PBA, PMP\nAlexander V. Revin, PMPRoman Reznikov, PRINCE2, ITIL, PMPTashfeen Riaz, PgMP, PMP, PMI-ACPJuan Carlos Ribero Gómez, Ing, PMPAndre Luis Fonseca Ricardi, PMPFabio Rigamonti, PMPIvan Rincon, PMP, PgMP, CISALaurajean Rispens, PMP, PMI-ACPHasnain Rizvi, PhD, SPC, CSP, PMPKenneth Robson, PMPRuy Rodriguez-Roman, CPA, PMPSergio Rojas A., Eng, MBA, PMPDan S. Roman, CSSBB, PMI-ACP, PMPSadegh Roozbehi, DBA PMPMaría Rosas, PMO-CP, SA, PMPJ. Travis Rose, PMPMichela Ruffa, PMI-RMP, PMPTim RumbaughBrian RushPhilip Russell, PMPMike Ryal, PMPNagy Saad, ITIL, PMI-ACP, PMPMohammed Salaheddien Saad, Ph, PMPGopal Sahai, MSP, PMI-PBA, PMPAhmad Said, MM, PMPSavio Saldanha, BE, CTFL, PMPAhmed Omer Saleh Mubarak, Eng, MBA, PMPSarvenaz SalimitabarIng. Roger Salinas-Robalino, MSIG, PMPEmre Salmanoglu, PMPMario Salmona, PMI-PBA, PMI-RMP, PMPOmar SamaniegoAbubaker Sami, MoP, PgMP, PfMPYishai Sandak, MSc, PMI-ACP, PMPShankar SankaranPrithvinand P. Sarode, BE, PMPSachlani Sarono, P3OF, PSM I, PMPMuhammad Sauood ur Rauf, PMPBipin Savant, MTech, CBM, PMPJean-Charles Savornin, PMPGuy Schleffer, PMP, PgMP, PfMPGary Schmitz, PMI-ACP PMI-PBA, PMPDavid Schwantes, MBA, CSM, PMPDayashankara SedashivappaArun SeetharamanGrégoire SemeletYad Senapathy, MS, PMPCarl Sergeant, PMPNikita Sergeev, PhD, MBA, IPMA, PMDaisy SgCasey Shank, PEng, PMPGiridhar ShankavaramAli Sheikhbahaei, PE, PMI-RMP, PMPLokman Shental, PMP, TOGAFDennis Sherman, PhD, PMPHatim Sid Ahmed, MBBS, PMPSameer Siddhanti, MSc, PMP, PMPGary Sikma, PMI-ACP, PMPMarcos Felix SilvaMarisa Silva, MSc, PMPMichael Sims, MBAMayank Veer Singh, EngRavinder Singh, PSM I, PRINCE2, PMPAshwani Kumar Sinha, MBA, MScGitika Sinha, ITIL, PMI-ACP, PMPAnn Skinner, PhD, PMPDaniel Sklar, PMPJen Skrabak, PMP, PfMPSteven SkratuljaMartin J Smit, PhD, PMPDaniele Almeida SodréVictor S. Sohmen, EdD, MBABoon Soon LamJoseph SopkoMauro Sotille, MBA, PMI-RMP, PMPFernando Souza, CSM, CSPO, PMPRussel Souza, PMPMichael Spatola, MSSM, MS, PMPClifford Sprague, PSPO1, PMPMario Špundak, PhD, PfMPSreeshaj Sreedhar, SS, BBELT, PMPNitesh SrivantavaGunawan ST, PMI-RMP, PMPKlaus J. Stadlbauer, PMPChris Stevens, PhD\nPMI Seventh Edition July 2021205\nAppendix X1Cameron Stewart, PMI-ACP, PMP\nJim Stewart, CSM, PMI-ACP, PMPIan R. Stokes, PMPNathan Subramaniam, ITIL4, TOGAF 9, PMPPremkumar Subramanian, MBA, PMPYasuji Suzuki, PMI-ACP, PMPLisa Sweeney, PMPGrzegorz SzalajikoAhmed Taha, PhD, PRINCE2, PMI-RMP, PMPMohammad Meh", + "chunk_order_index": 92, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-204b880f0b46045d250c3a25031a1d4f": { + "tokens": 1200, + "content": "Stewart, PMI-ACP, PMP\nJim Stewart, CSM, PMI-ACP, PMPIan R. Stokes, PMPNathan Subramaniam, ITIL4, TOGAF 9, PMPPremkumar Subramanian, MBA, PMPYasuji Suzuki, PMI-ACP, PMPLisa Sweeney, PMPGrzegorz SzalajikoAhmed Taha, PhD, PRINCE2, PMI-RMP, PMPMohammad Mehdi Tahan, MSc, PMPMohamed Taher Arafa, PMI-ACP, PMI-RMP, PMPShoji Tajima, ITC, ITIL, PMPNilton Takagi, MSc, PMPPeter Wee Seng Tan, CPP, CISSP, PMPTetsuya Tani, CBAP, PMPChelsea Tanimura, MPA, PMPAwadalsaid Tara, Eng, MScE, SFC, PMPUsama Tariq, Eng, PMPCarsten TautzJose Teixeira De Paulo, PMI-RMP, PMI-SP, PMPIván Samuel Tejera Santana, PSM, PMI-ACP, PMPGerhard Tekes, Dipl Inf, PMOVR-CP, PMPMaria Temchina, PMI-ACP, PMPDaniel Tennison, PE, PMPHector Teran, PMPGino Terentim, PMI-ACP, PMP, PfMPCarlos Tessore, PhD, PMI-RMP, PMPMohammed ThoufeeqShuang Tian, PMI-ACP, PMPClaudia Tocantins, MSc, PMPMark TolbertDyana Torquato, PMI-ACP, PMPSüleyman Tosun, PhD, PSM I, ITIL, PMPSayed Tousif, BE, PMCPBella Trenkova, ICP-ACC, SPC4, PgMPMario Trentim, PMI-PBA, PMP, PfMPJohn N. Tse, MBA, CDA, PMPGeorg Turban, PMPDaniel Ubilla Baier, MBA, PMI-RMP, PMPYoon Sup Um, PMI-ACP, PMI-RMP, PMPHafiz UmarJudith W. Umlas, SVP, IILJoseph Ursone, CSM, MCP, PMPEbenezer Uy, SSBB, PMI-ACP, PMPAli Vahedi, PMP, PgMP, PfMPMadrony Valdivia Ponce, ING, ITILAndre Bittencourt do Valle, PhD, SAPMHenk-Jan van der Klis, MSc, PMPTom Van Medegael, PMPRaymond van Tonder, PMP, PMI-ACPRicardo Vargas, PhD, SAFe SPC, PMPEnid T. Vargas Maldonado, \nPMI-ACP, PMI-PBA, PMP\nSantosh Varma, PDGCA, ITIL, PMPNorm Veen, MBA, PMPJean Velasco, MBA, PMPVijay Vemana, SAFe, PMP, PgMPNagesh Venkataramanappa, PMPCharu Venkatararaman, CSM, CSPO, PMPVanessa VenturaEddy Vertil, PhD (ABD), PMI-RMP, PMPAnand Vijayakumar, PMI-RMP, PMP, PgMPRoberto Villa, PMPTiziano Villa, PMI-ACP, PMPAura Villagrana, MBA, SPC, PMPEsteban Villegas, PMI-ACP, PMPAndrea Vismara, MBA, PMI-PBA, PMPLislal Viswam, MSc, CSM, PMPYiannis Vithynos, PRINCE2P, PMI-ACP, PMPVijay Vittalam, PMI-ACP, PMI-RMP, PMPAline VonoThomas Walenta, PMP, PgMPQun Wang, CSPO, CSM, PMPGorakhanath Wankhede, PMPJ. LeRoy Ward, PMP, PgMP, PfMPMuhammad Waseem, MS(PM), PMPToshiyuki Henry Watanabe, PE.JP, PMR.JP, PMPBarb Waters, MBA, PMPJohn Watson, PMP, PMI-ACPDarrell Glen Watson Jr., MPM, PMPGanesh Watve, MBA, SMC, PMPPatrick Weaver, FAICD, PMI-SP, PMPXu Wei, PMPLars Wendestam, MSc, PMPMichal Wieteska, ASEP, PMPBronsen WijayaAngela Wiley, PMPEdward WilliamsDoug Winters, CSSBB, PMPLouise Worsley, MATe Wu, PhD, PMP, PgMP, PfMPYang Xiao, MBA, SCOR-P, PMP\nPMI Seventh Edition July 2021206\nPMBOK® GuideRajesh K. Yadav, MTech\nAliaa Yahia Elshamy, PharmD, PMP, MQM, TQMZhang YanxiangBill YatesAuguste Yeboue, MBA, DBA, PMPFu YongkangCynthia Young, DBA, LSSMBB, CMQ/OE, PMPDaniel Alfredo Zamudio López, SMC, PgMP, PMPStefano Mario Zanantoni, PMPEmanuele Zanotti, PhD, PMPKen Zemrowski, ESEP, MSTMCristina Zerpa, MC, PMPBin ZhaoFangcun ZhaoJutta Edith Zilian, CISA, CISM, CGEITPriscila Tavares da Sliva ZoubackAlan Zucker, DAC, PMI-ACP, PMP\nX1.2 PMI STAFF\nSpecial mention is due to the following employees of PMI:\nMarvin Nelson, DBA, SCPMDanielle Ritter, MLIS, CSPOKim ShinnersRob", + "chunk_order_index": 93, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-2853580e836d3f165e03ba441daa582f": { + "tokens": 1200, + "content": "en Zemrowski, ESEP, MSTMCristina Zerpa, MC, PMPBin ZhaoFangcun ZhaoJutta Edith Zilian, CISA, CISM, CGEITPriscila Tavares da Sliva ZoubackAlan Zucker, DAC, PMI-ACP, PMP\nX1.2 PMI STAFF\nSpecial mention is due to the following employees of PMI:\nMarvin Nelson, DBA, SCPMDanielle Ritter, MLIS, CSPOKim ShinnersRoberta StorerStephen A. TownsendBarbara Walsh, CSPODaniel Wiser\nPMI Seventh Edition July 2021207\nAppendix X2X2.1 INTRODUCTION\nResearch shows that an active project sponsor is a critical success factor in achieving positive \noutcomes from projects. This appendix describes the actions and impacts of sponsors and how these \nfactors contribute to the overall success of the project.\nX2.2 THE SPONSOR ROLE\nDepending on the organization, a project typically has a sponsor. The project sponsor provides \ndecision leadership that is outside of the authority and position power of the project manager and project team. Active engagement and oversight by a project sponsor supports the project manager, the project team, and ultimately drives project outcomes. The sponsor also links the project team with the strategy and big-picture view at the executive level of the organization.\nSponsors perform the following functions, among others:\n▶Communicate the vision, goals, and expectations to the team.\n▶Advocate for the project and the team.\n▶Facilitate executive-level decisions.\n▶Help secure resources.\n▶Keep projects aligned to business objectives.\n▶Remove obstacles.\n▶Address issues outside the project team’s authority.\n▶Bring opportunities that arise within the project to senior management.\n▶Monitor project outcomes after closure to ensure intended business benefits are realized.Appendix X2\nSponsor\nPMI Seventh Edition July 2021208\nPMBOK® GuideThe sponsor’s position within the organization and the perspective from that level enable the \nsponsor to provide key support to the team in the following areas:\n▶Vision. Establish and/or communicate the vision and direction for the project.\n▶Business value. Work with the team consistently to maintain alignment with the\nstrategic and business objectives. When the market, competition, and strategy are volatile\nand evolving, this may require frequent interactions to adjust project work to meet theevolving direction.\n▶Customer focus. Balance various stakeholder needs and priorities. When there are\nmultiple stakeholders, especially stakeholders with conflicting needs, it may be necessary\nto prioritize stakeholder needs and make trade-offs.\n▶Decisions. Make decisions or direct decisions to the appropriate individual or group when\nthere are decisions to be made that are outside of the project team’s authority. If the teamcannot come to a decision or if the team is in conflict, sponsors can mediate conflict andfacilitate the decision-making process.\n▶Motivation. Sponsors serve as a source of motivation for the project team by activelyengaging with and supporting them.\n▶Accountability. Depending on the authority level of the role, sponsors are often\naccountable for the project outcomes. In this role, they may accept or reject thedeliverables for the project.\nX2.3 LACK OF ENGAGEMENT\nWhen the sponsor is not engaged or when that role is vacant, many of the benefits associated \nwith the activities listed in Section X2.2 are missing. This may have a negative impact on project effectiveness. Project performance suffers because there are often longer decision time frames and conflicting priorities. If the sponsor is not helping to secure resources, that gap can impact access to necessary team members or acquisition of physical resources. When there is no direct sponsor support, team members may be removed or switched out. These changes can cause negative impacts to scope, quality, schedule, and budget and diminish the probability of achieving intended outcomes and stakeholder satisfaction.\nPMI Seventh Edition July 2021209\nAppendix X2X2.4 SPONSOR BEHAVIORS\nThere are certain behaviors that sponsors display that can help teams perform effectively and \nthus improve project outcomes:\n▶Resource. Liaise with the organization to ensure the team has the necessary skill sets\nand the physical resources needed to deliver the project.\n▶Guide. Provide a motivating vision around which the team can rally.\n▶Align. Maintain alignment between the organization’s strategic goals and the project\noutcomes. If the market changes or the organization’s goals shift, work with the projectteam to pivot the direction of the project to meet the current needs.\n▶Tailor. Work alongside the team to tailor the structure, culture, processes, roles, and work\nto optimize outcomes.\n▶Influence. Enable the needed changes for adoption to the post-project operations.\nThis includes leadership, engagement, and collaboration with stakeholders throughout\nthe organization.\n▶Communicate. Provide an ongoing exchange of information from the organization\nto the team and from the team to the organization.\n▶Partner. Partner with the team in achieving success. This can include coaching, mentoring,and demonstrating a personal commitment to the project goal.\n▶Check. Engage with the team to stimulate critical thinking by asking questions, challengingassumptions, and fostering innovation.\n▶Unblock. Remove impediments and barriers and resolve issues that are outside the team’s\nauthority or ability to address.\nPMI Seventh Edition July 2021210\nPMBOK® GuideX2.5 CONCLUSION\nThe strategic link that the sponsor provides both empowers and enables the project team \nto optimize its performance by maintaining alignment with the organization’s strategy. The sponsor \nfacilitates engagement and decision making and ensures that the skills and resources needed \nare available. These activities and behaviors increase the likelihood of achieving the desired \nproject outcomes.\nX2.6 SUGGESTED RESOURCES\nAhmed, R., Mohamad, N. A. B.,", + "chunk_order_index": 94, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8b22d70fb5bd3854865a95c3f4a5fa5a": { + "tokens": 1200, + "content": "® GuideX2.5 CONCLUSION\nThe strategic link that the sponsor provides both empowers and enables the project team \nto optimize its performance by maintaining alignment with the organization’s strategy. The sponsor \nfacilitates engagement and decision making and ensures that the skills and resources needed \nare available. These activities and behaviors increase the likelihood of achieving the desired \nproject outcomes.\nX2.6 SUGGESTED RESOURCES\nAhmed, R., Mohamad, N. A. B., & Ahmad, M. S. 2016. Effect of multidimensional top management \nsupport on project success: An empirical investigation. Quality & Quantity, 50(1), 151–176. https://doi. \norg/10.1007/s11135-014-0142-4\nKloppenborg, T. J., Tesch, D., & Manolis, C. 2014. Project success and executive sponsor behaviors: \nEmpirical life cycle stage investigations. Project Management Journal, 45(1), 9–20. \nhttps://doi.org/10.1002/pmj.21396\nProject Management Institute (PMI). 2012. Executive engagement: The role of the sponsor. Retrieved \nfrom https://www.pmi.org/business-solutions/white-papers/executive-engagement-sponsor-role.\nProject Manageme nt Institute. 2014. Pulse of the Profession® Report, Executive sponsor engag ement: \nTop driver of project and prog ram success. Retrieved from https://www.pmi.org/-/media/pmi/documents/\npublic/pdf/learning/thought-l eade rship/pulse/e xecutive-sponsor-engagement.pdf?v=411b7196-1cb4-\n4b29-b8d2-2764513bd175&sc_lang_te mp=en\nZwikael, O. 2008. Top management involvement in project management: Exclusive support practices \nfor different project scenarios. International Journal of Managing Projects in Business, 1(3), 387–403. \nhttps://doi.org/10.1108/17538370810883837\nPMI Seventh Edition July 2021211\nAppendix X3X3.1 INTRODUCTION\nThe acronym “PMO” can refer to a portfolio, program, or project management office. In the \ncontext of the PMBOK® Guide – Seventh Edition, the project management office (PMO) represents \na management structure that standardizes project-related governance processes and facilitates \nthe sharing of resources, tools, methodologies, and techniques. Recognizing that the character and function of a PMO varies between organizations, and even within the same organization, this appendix outlines common attributes among PMOs and discusses how PMOs support project work.\nX3.2 THE PMO VALUE PROPOSITION—WHY HAVE ONE?\nOrganizations establish PMOs for a variety of reasons but with one core benefit in mind: \nimproved project management in terms of schedule, cost, quality, risk, and other facets. PMOs have many potential roles in aligning work with strategic goals: engaging and collaborating with stakeholders, developing talent, and realizing value from investments in projects.Appendix X3\nThe Project Management Office\nPMI Seventh Edition July 2021212\nPMBOK® GuidePMOs can take multiple forms. Understanding how PMOs are utilized in organizations as well \nas assigned roles and responsibilities sheds light on the range of benefits PMOs can deliver:\n▶Some PMOs provide project management guidance that supports consistency in how\nprojects are delivered. These PMOs may provide guidelines, templates, and examples\nof good practices along with training and coaching. Standardized approaches and toolspromote a common business picture across projects and facilitate decisions that transcendindividual project concerns. This type of PMO often exists in organizations that are juststarting to improve their project management capabilities.\n▶A PMO may offer project support services for planning activities, risk management, project\nperformance tracking, and similar activities. This shared services model of a PMO oftenexists in organizations with independent or diverse business units that want support withdelivery while maintaining more direct control over their projects.\n▶PMOs can be part of a department or business unit and oversee a portfolio of projects.\nOversight can include such activities as requiring a business case to initiate a project,allocating financial and other resources to deliver the project, approving requests to changeproject scope or activities, and similar functions. This type of PMO provides centralizedmanagement of projects. This structure exists in organizations that have departments withmultiple projects and that deliver strategically important results, such as IT capabilities ornew product development.\n▶An organization may have an enterprise-level PMO (EPMO) that links implementation\nof organizational strategy with portfolio-level investments in programs and projects thatdeliver specific results, changes, or products. This structure exists in organizations withwell-established project management capabilities that are directly linked to achievingorganizational strategy and broad business objectives.\n▶Organizations with flatter structures, customer-centered initiatives, and more adaptive\ndelivery approaches may adopt an Agile Center of Excellence (ACoE) or Value DeliveryOffice (VDO) structure. The ACoE/VDO serves an enabling role, rather than a managementor oversight function. It focuses on coaching teams, building agile skills and capabilitiesthroughout the organization, and mentoring sponsors and product owners to be moreeffective in those roles. This type of structure is emerging wit\nhin organizations adopting more\ndecentralized structures where teams need to respond quickly to changing customer needs.\nPMOs may be layered. For example, an EPMO may have subordinate PMOs and VDOs that \nreside within specific departments. Such layering supports strategic alignment at the EPMO level and specific project management capabilities within the departmental PMO or VDO.\nPMI Seventh Edition July 2021213", + "chunk_order_index": 95, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d61f0b382dc1f0ed5e41e30fa93713c0": { + "tokens": 1200, + "content": "be moreeffective in those roles. This type of structure is emerging wit\nhin organizations adopting more\ndecentralized structures where teams need to respond quickly to changing customer needs.\nPMOs may be layered. For example, an EPMO may have subordinate PMOs and VDOs that \nreside within specific departments. Such layering supports strategic alignment at the EPMO level and specific project management capabilities within the departmental PMO or VDO.\nPMI Seventh Edition July 2021213\nAppendix X3The formation of any type of PMO or VDO is based on organizational needs. Key influencers \nthat help to shape the PMO or VDO include the types of projects being delivered, the size of the \norganization, its structure(s), the degree of centralized/decentralized decision making, and corporate culture. As organizational needs change over time, PMOs and VDOs evolve in response. For example, a PMO may transform into a VDO or the PMO may be closed after fulfilling its charter.\nX3.3 KEY PMO CAPABILITIES\nThe Standard for Project Management states that projects are part of a system for value delivery \nwithin organizations. PMOs can support that system and are a part of the system. Just as project teams need specific capabilities to deliver results, so do PMOs. Effective PMOs make three key contributions that support value delivery:\n▶Fostering delivery and outcomes-oriented capabilities. PMOs foster project\nmanagement capabilities. They ensure that employees, contractors, partners, etc., whoare within and outside of the PMO, understand, develop, apply, and value a range ofproject management skills and competencies. They focus on right-sizing processes andgovernance, based on the unique characteristics of each project to produce high-qualityresults efficiently, quickly, and effectively.\n▶Keeping the “big picture” perspective. Staying true to the goals of a project remains a\nkey element of success. Scope creep and new priorities not aligned to strategic or businessgoals can allow projects to drift off course. Strong PMOs evaluate the performance ofprojects with an eye toward continuous improvement. They evaluate work in the context\nof the organization’s overall success rather than maximizing a specific project’s results.\nThey provide project teams, senior management, and business leaders with informationand guidance that help them understand current circumstances and options in support\nof decision making.\n▶Continuous improvement, knowledge transfer, and change management.\nStrong PMOs regularly share project results across the organization to transfer valuableknowledge gained from each project. Learning and sharing activities inform strategic andbusiness objectives while improving activities that strengthen future project delivery.Effective organizational change management builds and sustains alignment with processupdates, capability enhancements, and new skills that support project management.\nPMI Seventh Edition July 2021214\nPMBOK® GuideX3.4 EVOLVING FOR STRONGER BENEFITS REALIZATION\nFor many businesses, greater uncertainty, an accelerated pace of change, increased \ncompetition, and more empowered customers mean organizations produce value in an increasingly \ncomplex environment. The ability to implement new strategic initiatives and change rapidly is becoming a key differentiator. These changes are also exerting greater pressure on PMOs to demonstrate their contributions to benefits realization and value creation. PMOs are evolving to meet these challenges by:\n▶Focusing on critical initiatives. While all projects are important, strategic initiatives\ncan significantly impact the organization’s future, its relationship with its stakeholders,and its capabilities. PMOs are shifting from being project watchdogs to orchestratingconversations between senior leaders, business unit heads, product owners, and projectteams. These conversations provide accurate insights into project performance, threats,and opportunities that can affect important strategic initiatives. Such focus promotesclarity and course correction around emerging issues and the fullest possible realization\nof business outcomes.\n▶Instituting smart and simple processes. PMOs are right sizing their organization’s\ncapabilities by establishing just enough process and practice discipline to enable effectivecommunication, collaboration, and continuous improvement without adding wasteful\nsteps or overriding processes that are producing value.\n▶Fostering talent and capabilities. PMOs are playing a more proactive role in recruiting\nand retaining talented team members. They are developing and nurturing technical,strategic, management, and leadership skills within project teams and across theorganization.\n▶Encouraging and enabling a culture of change. PMOs are becoming change leadersby actively building organization-wide support for and commitment to outcomes andbenefits-focused performance and organizational change management as competitivedifferentiators.\nPMI Seventh Edition July 2021215\nAppendix X3X3.5 LEARN MORE ABOUT PMOS\nThese PMI standards and guides provide additional information about the role of the PMO \nfrom different perspectives. They may offer additional insights and useful information.\nProject Management Institute. 2017. The Standard for Organizational Project Management. Newtown \nSquare, PA: Author.Project Management Institute. 2017. The Standard for Portfolio Management. Newtown Square, \nPA: Author.Project Management Institute. 2017. The Standard for Program Management.\n Newtown Square, \nPA: Author.Project Management Institute. 2017. The Standard for Business Analysis. 2017. Newtown Square, \nPA: Author.Project Management Institute. 2017. Agile Practice Guide.\n Newtown Square, PA: Author.\nProject Management Institute. 2016. Governance of Portfolios, Programs, and Projects: A Practice Guide. \nNewtown Square, PA: Author.\nX3.6 SUGGESTED RESOURCES\nProject Management Institute. 2013. Strategic Initiative Management: The PMO Imperative. Available \nat https://www.pmi.org/learning/thought-leadership/pulse/strategic-initiative-management-the-\npmo-imperative.\nProject Management Institute. 2013. The Impact of PMOs on Strategy Implementation. Available", + "chunk_order_index": 96, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d84381cb1a6bb747258ff8849d668845": { + "tokens": 1200, + "content": "Programs, and Projects: A Practice Guide. \nNewtown Square, PA: Author.\nX3.6 SUGGESTED RESOURCES\nProject Management Institute. 2013. Strategic Initiative Management: The PMO Imperative. Available \nat https://www.pmi.org/learning/thought-leadership/pulse/strategic-initiative-management-the-\npmo-imperative.\nProject Management Institute. 2013. The Impact of PMOs on Strategy Implementation. Available \nat https://www.pmi.org/learning/thought-leadership/pulse/impact-pmo-strategy-in-depth.Project Management Institute. 2013. PMO Frameworks.\n Available at https://www.pmi.org/learning/\nthought-leadership/pulse/pmo-frameworks.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021217\nAppendix X4X4.1 INTRODUCTION\nThere has been a gradual transition in project management concepts over the last decade. \nViews such as defining success as meeting scope, schedule, and budget objectives have transitioned \nto measuring value and the outcomes (not the outputs) of the project. Product management is aligned with this value view and adds a longer time frame perspective. These concepts are shown \nin Table X4-1.Appendix X4\nProduct\nTable X4-1. Views of Project and Product Management\nAttribute Product View Project View\nFocus Outcomes Outcomes\nTypical metrics Value Business va lue\nStaffing model Temporary teams Stable teams\nDelivery emphasis “Deliver va lue” accountability “Inception to retirement” accountability\nPMI Seventh Edition July 2021218\nPMBOK® GuideThis appendix provides information about product development that raises tailoring \nconsiderations for teams to consider. It describes how products and services continue to develop \nand evolve through their use and over their lifetime. For purposes of this appendix, products, product management, and product life cycle are defined as:\nProduct. A product is an artifact that is produced, is quantifiable, and can be either an end \nitem in itself or a component item.\nProduct management.\n Product management is the integration of people, data, processes, \nand business systems to create, maintain, and evolve a product or service throughout its life cycle.\nProduct life cycle. A product life cycle is a series of phases that represents the evolution \nof a product, from concept through delivery, growth, maturity, and to retirement.\nGiven these definitions, products extend beyond a project life cycle. They operate more like \nlong-running programs that focus on maximizing benefits realization. For example:\n▶The Apple iPhone® product has been through multiple versions with future updates on\nsomeone’s drawing board.\n▶Once they are finished, buildings and homes require ongoing maintenance to keep them\nfunctioning correctly and, at specific points, they may be refurbished or expanded fordifferent uses.\nContinuous development has impacts on many factors including, but not limited to, funding \nmodels, staffing models, development, and sustainment practices.\nPMI Seventh Edition July 2021219\nAppendix X4X4.2 GLOBAL MARKET SHIFTS\nThree global trends are disrupting traditional business models and transforming products and \nservices (see Figure X4-1).\n▶Customer centricity. Customer centricity inverts the traditional model of organizations\ndeveloping products and pushing them out to customers. Today, organizations are changing\nto better understand, serve, and maintain customer loyalty (see Figure X4-2). Today’stechnology can capture a range of customer data and requirements that organizationsanalyze and use for potential product enhancements, cross-selling opportunities, newproduct ideas, etc.Customer Centricity\nProduct Manag ement Software-Enhanced Value\nOngoing Provision and Pa yment\nFigure X4-1. Global Business Trends Influencing the Management of Products\nPMI Seventh Edition July 2021220\nPMBOK® Guide▶Software-enhanced value. Software and the capabilities it can provide have become\nkey differentiators in a range of products and services today. Thirty years ago, software\nran predominantly on dedicated computers. Ten years ago, software was embedded\nin control systems for vehicles and homes as a result of enhanced wireless and satellite\ncommunication systems. Now, even the most mundane appliances run software that\nadds new capabilities and captures usage data.\nMost organizations conduct at least some portion of their transactional business\nelectronically through websites and applications. Due to the ongoing need to upgrade\nand maintain these systems, these services are only truly finished with development\nwhen the product or service is retired.\n▶Ongoing provision and payment. Changes to established economic models aretransforming many organizations. Single-transaction services are being replaced withcontinuous provision and payment. Examples include:Organization Revolving\nAround the CustomerOrganization Ser ving\nProducts Out to Customer\nCustomer\nExperienceCustomer\nEngagement\nCustomer\nLoyaltyCustomer\nValue\nCustomer\nLife CycleCustomer\nRelationship\nFigure X4-2. The Changing Relationship Between an Organization and Its Customers\nPMI Seventh Edition July 2021221\nAppendix X4▹Publishing. Self-publishing, direct distribution, and electronic books that allow ongoing\nrefinement and development after publication.\n▹Finance. The shift away from local branches and toward microlending with funding\nin smaller batches is based on evaluation of value delivered.\n▹Start-ups. With the increase in the gig economy and custom markets, there are more\nstart-ups and small businesses today than ever. Work is more distributed, fragmented,and fluid than with traditional models.\n▹Media. A move away from buying DVDs and CDs from centralized outlets; instead,\na rise in subscription services with ongoing funding and delivery of benefits.\nX4.3 IMPACT ON PROJECT DELIVERY PRACTICES\nAs markets shift from a single project delivery model to an ongoing delivery model, some", + "chunk_order_index": 97, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-557cadd77425c32d7bd9600fb9dedf19": { + "tokens": 1200, + "content": "-ups. With the increase in the gig economy and custom markets, there are more\nstart-ups and small businesses today than ever. Work is more distributed, fragmented,and fluid than with traditional models.\n▹Media. A move away from buying DVDs and CDs from centralized outlets; instead,\na rise in subscription services with ongoing funding and delivery of benefits.\nX4.3 IMPACT ON PROJECT DELIVERY PRACTICES\nAs markets shift from a single project delivery model to an ongoing delivery model, some \norganizations are looking for alternatives to temporary project structures that deliver a single product, change, or service. Instead, they are looking for delivery constructs that have a strong customer focus, recognize the rapid evolution of technology, and align with the ongoing service and revenue streams of loyal customers.\nThese factors have led to an increased interest in and shift toward product management \nlife cycles for value delivery. Product management takes a longer life cycle view that encompasses support, sustainment, and ongoing evolution with the same team. Stable teams are especially valuable in complex and unique domains, such as systems with embedded software where knowledge transfer is time-consuming and costly. The shifting focus to product management is prompting some project-oriented organizations to adapt their delivery models.\nX4.4 ORGANIZATIONAL CONSIDERATIONS \nFOR PRODUCT MANAGEMENT\nOrganizations that are shifting to long-running, product-based environments can utilize \nseveral strategies to align and coordinate product management. Three strategies include, but are not limited to, the following (see also Figure X4-3):\nPMI Seventh Edition July 2021222\nPMBOK® Guide▶Establish stable teams. Instead of disbanding the team when initial development is\ncomplete, use that team to sustain and evolve the product with the designated product\nowner or person within the team reflecting the customer perspective. This removes theneed for knowledge transfer and reduces the risk of future enhancements being delayeddue to a loss of tacit knowledge.\nLong-standing teams also develop better market awareness, customer insights, and\ncustomer empathy than short-term teams. This helps with maintaining customer focusand customer loyalty and builds competitive advantage. When people know they will beresponsible for maintaining and enhancing a product, they are less likely to take shortcutsto get something ready for release. As a result, quality, maintainability, and extensibility areoften improved with \nlong-serving teams rather than with teams that develop then handover\nproducts. These factors, in turn, contribute to creating value and sustaining value delivery.Establish Stable Teams\nUse Incremental Funding Product Environment\nProgram Manag ement\nFigure X4-3. Supporting Strategies for Continuous Value Delivery\nPMI Seventh Edition July 2021223\nAppendix X4Partners or contractors who develop initial products for deployment on a customer \nsite incorporate effective change management to ensure customers have the capabilities \nto maintain the product once it is transitioned. Part of transition planning can include discussions on building a team within the receiving organization that can support and evolve the product over its life cycle.\n▶Use incremental guidance and funding. Instead of predefined project durations or\nannual budgets, consider more frequent reviews (such as quarterly) and funding for thenext quarter. With more frequent evaluations and funding, the business is in closer controlof overall progress, direction, and decision making.\nSimilar to venture capital funding, regular reviews of delivered value allow direct funding\ntoward products that are providing expected value and reduce or curtail investment inunderperforming initiatives. Such funding models enable organizations to pursue newmarket opportunities and capitalize on successful endeavors while limiting exposure\nto the inevitable percentage of new initiatives that fail.\n▶Utilize program management structures. Practitioners operating with stable teams\nthat support customer-centric products can apply program management constructs formanaging long-running initiatives. Programs align well with adjusting to market changesand focusing on customer benefits. They are also typically much longer running than\na single project.\nThe Standard for Program Management addresses ongoing priority changes as follows:\n“The primary difference between projects and programs is based on the recognition withinprograms that the strategies for delivering benefits may need to be optimized adaptively asthe outcomes of components are individually realized. The best mechanisms for deliveringa program’s benefits may initially be ambiguous or uncertain.”\nThis acceptance of up-front uncertainty, need for adaptation, focus on benefits, and\nlonger time frames may make programs a better fit than projects for many organizationsmanaging product delivery.\nPMI Seventh Edition July 2021224\nPMBOK® GuideMany traditional product industries, such as infrastructure, aerospace, and automotive, \nuse program management guides and frameworks. These industries utilize programs \nfor directional alignment and integration of component activities, such as programs, subprograms, and project activities. For example, an organization with a technology platform can use program and product management to prioritize and oversee capabilities that will maximize the platform’s return on investment over its lifetime. A stable, continuous development team can work on customer-focused, value-adding features and functions. Project teams then deliver equipment upgrades and interfaces with new or enhanced systems. Operational teams can troubleshoot user interface issues and help customers adapt to new features. When program structures already exist in organizations, shifting to those structures for product management does not require reorienting everyone to a new way of thinking or working.\nTable X4-2. Unique Characteristics of Projects, Programs, and Products\nCharacteristic Product Program Project\nDuration\nScope\nChangeSuccess\nFundingShort term, temporary\nProjects ha ve defined \nobjectives. Scope is progres-\nsively elaborated throughout \nthe life cycle.\nProject teams expect changes \nand implement processes to address the changes, as needed.\nSuccess is measured by \nproduct and project quality , \ntime lines, budget, customer \nsatisfaction, and achievement of intended outcomes.\nFunding is largely determined \nup front based on ROI projections and initial estimates. Funding is updated based on actual performance and change requests.Longer term\nPrograms produce aggregate \nbenef", + "chunk_order_index": 98, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-5b470bffecabfc0b8d557efa60e80fb8": { + "tokens": 1200, + "content": "Projects ha ve defined \nobjectives. Scope is progres-\nsively elaborated throughout \nthe life cycle.\nProject teams expect changes \nand implement processes to address the changes, as needed.\nSuccess is measured by \nproduct and project quality , \ntime lines, budget, customer \nsatisfaction, and achievement of intended outcomes.\nFunding is largely determined \nup front based on ROI projections and initial estimates. Funding is updated based on actual performance and change requests.Longer term\nPrograms produce aggregate \nbenefits delivered through \nmultiple components.\nProgram teams explore \nchanges and adapt to optimize the delivery of benefits.\nSuccess is measured by the \nrealization of intended benefits \nand the efficiency and effectiveness of delivering those benefits.\nFunding is up front and \nongoing . Funding is updated \nwith results showing how benefits are being delivered.Long term\nProducts are customer\nfocused and benefits driven.\nProduct teams explore \nchanges to optimize the delivery of benefits.\nSuccess is measured by the \nability to deliver intended \nbenefits and ongoing viability for continued funding.\nProduct teams engage in \ncontinuous development via funding , development blocks, \nand reviews of value deliver y.\nPMI Seventh Edition July 2021225\nAppendix X4Organizations taking an integrated view of project and product management can benefit \nfrom examining program management frameworks as a stepping stone. Programs are much better \naligned with product thinking through their acceptance of up-front uncertainty, need for adaptation, focus on benefits, and longer time frames.\nX4.5 SUMMARY\nGlobal markets, increased diversification, and the addition of software to more products are \nresulting in extended support, sustainment, and time frames for realization of value. Customer-centric and digitally focused organizations are finding advantages in forming stable teams for the lifetime support and growth of these new classes of products.\nProduct life cycles may appear at odds with traditional project delivery constructs such as \nthe temporary nature of projects. However, they have many overlaps with the evolution of project thinking that includes focusing on customer value.\nOrganizations in such environments can find alignment and additional resources in creating \nlong-running stable teams, staged funding, and program management constructs.\nX4.6 SUGGESTED RESOURCES\nKelly, A. 2018. Continuous Digital: An Agile Alternative to Projects for Digital Business. Columbus, OH: \nAllan Kelly Associates.\nLeybourn, E. and Hastie, S. 2019. #noprojects: A Culture of Continuous Value. Toronto, Ontario, \nCanada: C4Media.Kersten, M. 2018. Project to Product: How to Survive and Thrive in the Age of Digital Disruption with the \nFlow Framework.\n Portland, OR: IT Revolution Press.\nProject Management Institute. 2017. The Standard for Program Management – Fourth Edition. \nNewtown Square, PA: Author.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021227\nAppendix X5Appendix X5 \nResearch and Development for \nThe Standard for Project Management\nX5.1 INTRODUCTION\nThe purpose of this appendix is to provide insight into how the update to The Standard for \nProject Management was developed. Content includes:\n▶Rationale for a move to a principle-based standard,\n▶Overview of the research conducted prior to the development of the standard,\n▶Description of how the standard was developed, and\n▶Information on how the content in the standard was validated.\nX5.2 THE MOVE TO A PRINCIPLE-BASED STANDARD\nSince 2010, PMI’s standards program has included research in addition to practitioner \nexperience to develop standards. Academic research, market research, focus groups, and \npractitioner experience have been inputs when updating many of the standards documents, including The Standard for Project Management.\nAs early as 2012, research suggested a move away from a prescriptive, process-oriented standard \ntoward one that requires reflection to apply in practice. Since that time, many of PMI’s standards have moved to a principle-based format, such as The Standard for Program Management – Third Edition \nand The Standard for Portfolio Management – Fourth Edition. In addition, as part of supporting the \ndevelopment of ISO standards, PMI participated in discussions within ISO TC258\n1 regarding the need \nto shift to a narrative- or principle-based approach and away from a process-based approach.\n1 International Organization for Standardization Technical Committee 258, Project, Programme, \nand Portfolio Management.\nPMI Seventh Edition July 2021228\nPMBOK® GuideComments by the review teams and exposure draft participants collectively affirmed the shift \nof The Standard for Project Management away from a process-based approach to a principle-based \nstandard in keeping with research findings and practitioner need.\nX5.3 RESEARCH FOR THE STANDARD \nFOR PROJECT MANAGEMENT\nPrior to updating The Standard for Project Management , significant research and review were \nconducted, including:\n▶International project management standards or standards-like documents along with lean,\nagile, and design thinking principles and some of the mostly commonly used frameworks.\nThis research helped to identify common practice areas and themes that served as inputsinto developing the principles in the The Standard for Project Management .\n▶PMI research, such as Pulse of the Profession®, which indicated that more organizations\nand practitioners are embracing agile and hybrid models along with new ways of working(i.e., tools, frameworks, technologies, etc.).\n▶Review of published white papers, thought leadership articles, and related documents\nto elicit underlying principles.\n▶Focus groups and workshops to gather stakeholder input for improving the usability\nof \nThe Standard for Project Management .\nAnalysis of the research led to the conclusion that more organizations are embracing a variety \nof project management approaches. Some organizations are moving toward a hybrid approach which mixes predictive and adaptive practices. Organizations and project teams are tailoring their approaches to the needs of the industry, organization, and project. These findings indicated that the", + "chunk_order_index": 99, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-150296eb42e37249d7fbd1bd1ba75467": { + "tokens": 1200, + "content": "white papers, thought leadership articles, and related documents\nto elicit underlying principles.\n▶Focus groups and workshops to gather stakeholder input for improving the usability\nof \nThe Standard for Project Management .\nAnalysis of the research led to the conclusion that more organizations are embracing a variety \nof project management approaches. Some organizations are moving toward a hybrid approach which mixes predictive and adaptive practices. Organizations and project teams are tailoring their approaches to the needs of the industry, organization, and project. These findings indicated that the PMI standard needed to reflect a more holistic and inclusive view of project management applicable to predictive, hybrid, and adaptive approaches.\nPMI Seventh Edition July 2021229\nAppendix X5All of this information contributed insights to the development process for exploring:\n▶A shift from a process- to a principle-based focus that would reflect the full spectrum\nof the various ways that projects are managed.\n▶Potential new content areas for inclusion, such as benefits realization management,\norganizational change management, and complexity, in alignment with the practice guides\nin those areas.\n▶Moving any “how to” content to a more interactive and adaptive medium and adapting that\ncontent to better reflect a range of considerations based on industry, type of project, andother important characteristics.\n▶Broadening the focus of the standard to be inclusive of all projects and placing more\nemphasis on the desired outcomes from the project.\nX5.4 STANDARD DEVELOPMENT PROCESS\nDeveloping the standard included ensuring global stakeholder representation from a broad \nrange of industries and the various approaches to managing projects.\nX5.4.1 DEVELOPMENT AND REVIEW TEAMS\nPrior to developing the content for the standard, a Development Team and two review teams \nwere formed. Approximately 450 individuals applied to participate on the teams. Twelve people were selected for the Development Team and approximately 70 were selected to participate in one of two review teams. The Development Team and review teams were comprised of stakeholders from around the globe and across industry segments and roles (e.g., government, practitioners, academic, consulting, and organizational providers). The teams included expertise in delivering projects using predictive, hybrid, and adaptive approaches.\nPMI Seventh Edition July 2021230\nPMBOK® GuideX5.4.2 CONTENT\nThe standard is comprised of three sections: Introduction, A System for Value Delivery, and \nProject Management Principles.\nThe Introduction includes key terms and concepts associated with project management. Much \nof this information is consistent with previous editions.\nContent in the section on A System for Value Delivery draws on content from PMI foundational \nstandards2 as well as research on benefits realization management and organizational agility. The \ncontent is presented with a focus on delivering value and is inclusive of the various ways in which \nvalue is created.\nThe Project Management Principles section evolved throughout the development and validation \nprocess. The initial concepts for the principles were identified through the research discussed previously. The Development Team worked individually and collaboratively to identify potential principles and then grouped them into affinity categories. Each category was further analyzed and decomposed to include a list of keywords associated with each category. The potential categories and keywords were composed into an initial draft, which was then reviewed and commented on by the entire Development Team to ensure the intent of the principles was reflected in the draft.\nIt is important to note that the principles are intended to be broadly based. Nothing in the \nprinciples is intended to be dogmatic, restrictive, or prescriptive. The principles are aligned with, \nbut not duplicative of, the content in the PMI Code of Ethics and Professional Conduct .\nIt is not possible to generate the “right principles” as each p\nroject and organization is different. \nTherefore, the principles are designed as a guide for people working on projects. Project professionals and others working on projects can seek to be aligned with the principles, but they are not intended \nto provide instructions for managing projects.\nX5.5 VALIDATING THE STANDARD\nContent in the standard was validated using three main approaches: global workshops, \niterative development, and public exposure draft.\n2 The Standard for Program Management – Fourth Edition and The Standard for Portfolio Management – Fourth Edition.\nPMI Seventh Edition July 2021231\nAppendix X5X5.5.1 GLOBAL WORKSHOPS\nThroughout the development process, global workshops were held where the move to a \nprinciple-based standard was presented and workshop participants were asked to explore guiding \nprinciples for project management. Workshops were presented in Dublin, Ireland (PMI Global Congress – EMEA); Bangalore, India; Brazilia, Brazil; Ottawa, Canada (PMI Global Executive Council meeting); Philadelphia, Pennsylvania, United States (PMI Global Conference); and Beijing, China. These workshops served as input into the Development Team’s work and as validation checkpoints during development.\nX5.5.2 ITERATIVE DEVELOPMENT\nThe Development Team worked in pairs and small teams to develop the initial content for \neach of the three sections that comprise The Standard for Project Management . Once the initial drafts \nwere integrated, the Development Team and Review Team 1 reviewed and commented on the drafts of each section of the standard. These reviews produced over a thousand comments which the Development Team analyzed and addressed to produce a second draft of the full standard. Review Team 2 reviewed the entire draft standard and provided comments with a fresh perspective to the Development Team. Those comments were analyzed and integrated into the content, as appropriate.\nX5.5.3 EXPOSURE DRAFT\nThe draft standard was made available for public review and comment from 15 January to \n14 February 2020. Almost 600 individuals submitted comments on the exposure draft. In response to the exposure draft comments, the content was reorganized and edited for clarity. Most comments indicated agreement with the intent of the principle-based standard. The Development Team then reviewed the draft of the standard and gave approval for the draft to go to the Standards Consensus Committee", + "chunk_order_index": 100, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-013ec75d6eb83656bc88a9d354c1a77a": { + "tokens": 1200, + "content": "5.5.3 EXPOSURE DRAFT\nThe draft standard was made available for public review and comment from 15 January to \n14 February 2020. Almost 600 individuals submitted comments on the exposure draft. In response to the exposure draft comments, the content was reorganized and edited for clarity. Most comments indicated agreement with the intent of the principle-based standard. The Development Team then reviewed the draft of the standard and gave approval for the draft to go to the Standards Consensus Committee for consensus ballot per PMI’s Policy for the Development and Coordination of American \nNational Standards .\nPMI Seventh Edition July 2021232\nPMBOK® GuideX5.6 SUMMARY\nContinuing changes in the project management profession and the ways in which projects are \nmanaged support a less prescriptive standard. Industry research, global participation with broad \nindustry representation, and an iterative review process shaped and validated the move from a process-based standard to a principle-based standard. Future teams can evaluate the impact of the shift in presentation of The Standard for Project Management and use that information to enhance or \nrevise future editions.\nPMI Seventh Edition July 2021233\nGlossary1.INCLUSIONS AND EXCLUSIONS\nThis combined glossary includes definitions of terms and acronyms from the following:\n▶The Standard for Project Management\n▶A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition\nThis glossary includes terms that are:\n▶Unique or nearly unique to project management (e.g., minimum viable product, work\nbreakdown structure, Gantt chart), and\n▶Not unique to project management but used differently or with a narrower meaning\nin project management than in general everyday usage (e.g., release planning,\ncontingency reserve).\nThis glossary generally does not include:\n▶Application-area-specific terms,\n▶Terms used in project management that do not differ in any material way from everyday\nuse (e.g., calendar day, delay),\n▶Compound terms whose meanings are clear from the meanings of the component parts,\n▶Variants when the meaning of the variant is clear from the base term, and\n▶Terms that are used only once and are not critical to understanding the point of the\nsentence. This can include a list of examples that would not have each term defined\nin the glossary.Glossary\nPMI Seventh Edition July 2021234\nPMBOK® Guide2.COMMON ACRONYMS\nAC actual cost\nBAC budget at completion\nCCB change control board\nCFD cumulative flow diagram\nCOQ cost of quality\nCPAF cost plus award fee\nCPFF cost plus fixed fee\nCPI cost performance index\nCPIF cost plus incentive fee\nCPM critical path method\nCV cost variance\nDoD definition of done\nEAC estimate at completion\nEEF enterprise environmental factors\nEMV expected monetary value\nETC estimate to complete\nEV earned value\nEVA earned value analysis\nFFP firm fixed price\nFPEPA fixed price with economic \nprice adjustment\nFPIF fixed price incentive feeIDIQ indefinite delivery indefinite quantity\nLCA life cycle assessment\nMVP minimum viable product\nNPS® Net Promotor Score®\nOBS organizational breakdown structure\nOPA organizational process assets\nPMB performance measurement baseline\nPMBOK Project Management Body of Knowledge\nPMO project management office\nPV planned value\nRAM responsibility assignment matrix\nRBS risk breakdown structure\nSOW statement of work\nSPI schedule performance index\nSV schedule variance\nSWOT strengths, weaknesses, opportunities, \nand threats\nT&M time and materials contract\nVAC variance at completion\nVDO value delivery office\nWBS work breakdown structure\nPMI Seventh Edition July 2021235\nGlossary3.DEFINITIONS\nMany of the words defined here have broader, and in some cases, different dictionary definitions.\nIn some cases, a single glossary term consists of multiple words (e.g., root cause analysis).\nAcceptance Criteria. A set of conditions that is required to be met before deliverables are accepted.\nAccuracy. Within the quality management system, accuracy is an assessment of correctness.\nActivity List. A documented tabulation of schedule activities that shows the activity description, \nactivity identifier, and a sufficiently detailed scope of work description so project team members understand what work is to be performed.\nActual Cost (AC). The realized cost incurred for the work performed on an activity during a specific \ntime period.Adaptive Approach. A development approach in which the requirements are subject to a high level \nof uncertainty and volatility and are likely to change throughout the project.\nAffinity Diagram. A diagram that shows large numbers of ideas classified into groups for review \nand analysis.Affinity Grouping. The process of classifying items into similar categories or collections on the basis \nof their likeness.Agile.\n A term used to describe a mindset of values and principles as set forth in the Agile Manifesto.\nAlternatives Analysis. A method used to evaluate identified options in order to select the options \nor approaches to use to perform the work of the project.Ambiguity.\n A state of being unclear, having difficulty in identifying the cause of events, or having \nmultiple options from which to choose.Analogous Estimating. A method for estimating the duration or cost of an activity or a project using \nhistorical data from a similar activity or project.Artifact. A template, document, output, or project deliverable.\nAssumption. A factor in the planning process that is considered to be true, real, or certain, without \nproof or demonstration.Assumption and Constraint Analysis. An assessment that ensures assumptions and constraints \nare integrated into the project plans and documents, and that there is consistency among them.Assumption Log. A project document used to record all", + "chunk_order_index": 101, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-570166d803a04a71c2d5909dd5cd7800": { + "tokens": 1200, + "content": "or a project using \nhistorical data from a similar activity or project.Artifact. A template, document, output, or project deliverable.\nAssumption. A factor in the planning process that is considered to be true, real, or certain, without \nproof or demonstration.Assumption and Constraint Analysis. An assessment that ensures assumptions and constraints \nare integrated into the project plans and documents, and that there is consistency among them.Assumption Log. A project document used to record all assumptions and constraints throughout \nthe project.Authority. The right to apply project resources, expend funds, make decisions, or give approvals.\nBacklog. An ordered list of work to be done.\nBacklog Refinement.\n Progressive elaboration of the content in the backlog and (re)prioritization \nof it to identify the work that can be accomplished in an upcoming iteration.Baseline. The approved version of a work product, used as a basis for comparison to actual results.\nPMI Seventh Edition July 2021236\nPMBOK® GuideBasis of Estimates. Supporting documentation outlining the details used in establishing project \nestimates such as assumptions, constraints, level of detail, ranges, and con fidence levels.\nBenchmarking. The comparison of actual or planned products, processes, and practices to those \nof comparable organizations to identify best practices, generate ideas for improvement, and provide \na basis for measuring performance.\nBenefits Management Plan. The documented explanation defining the processes for creating, \nmaximizing, and sustaining the benefits provided by a project or program.\nBid Documents. All documents used to solicit information, quotations, or proposals from \nprospective sellers.\nBidder Conference. The meetings with prospective sellers prior to the preparation of a bid \nor proposal to ensure all prospective vendors have a clear and common understanding of the \nprocurement. Also known as contractor conferences, vendor conferences, or pre-bid conferences.\nBlocker. See impediment .\nBudget. The approved estimate for the project or any work breakdown structure (WBS) component \nor any schedule activity.\nBudget at Completion (BAC). The sum of all budgets established for the work to be performed.\nBurn Chart. A graphical representation of the work remaining in a timebox or the work completed \ntoward the release of a product or project deliverable.\nBusiness Case. A value proposition for a proposed project that may include financial and \nnonfinancial benefits.\nBusiness Model Canvas. A one-page, visual summary that describes the value proposition, \ninfrastructure, customers, and finances. These are often used in Lean Startup situations.\nBusiness Value. The net quantifiable benefit derived from a business endeavor that may be tangible, \nintangible, or both.\nCadence. A rhythm of activities conducted throughout the project.\nCause-and-Effect Diagram. A visual representation that helps trace an undesirable effect back to its \nroot cause.\nChange. A modification to any formally controlled deliverable, project management plan component, \nor project document.\nChange Control. A process whereby modifications to documents, deliverables, or baselines \nassociated with the project are identified, documented, approved, or rejected.\nChange Control Board (CCB). A formally chartered group responsible for reviewing, evaluating, \napproving, delaying, or rejecting changes to the project, and for recording and communicating \nsuch decisions.\nChange Control Plan. A component of the project management plan that establishes the change \ncontrol board, documents the extent of its authority, and describes how the change control system \nwill be implemented.\nPMI Seventh Edition July 2021237\nGlossaryChange Control System. A set of procedures that describes how modifications to the project \ndeliverables and documentation are managed and controlled.\nChange Log. A comprehensive list of changes submitted during the project and their current status.Change Management. A comprehensive, cyclic, and structured approach for transitioning individuals, \ngroups, and organizations from a current state to a future state with intended business benefits.\nChange Request. A formal proposal to modify a document, deliverable, or baseline.Charter. See project charter .\nCheck Sheet. A tally sheet that can be used as a checklist when gathering data.Closing Process Group. The process(es) performed to formally complete or close a project, phase, \nor contract.Communications Management Plan. A component of the project, program, or portfolio \nmanagement plan that describes how, when, and by whom information about the project will be \nadministered and disseminated.\nComplexity.\n A characteristic of a program or project or its environment that is difficult to manage \ndue to human behavior, system behavior, and ambiguity.Confirmation Bias. A type of cognitive bias that confirms preexisting beliefs or hypotheses.\nConformance. The degree to which the results meet the set quality requirements.\nConstraint. A limiting factor that affects the execution of a project, program, portfolio, or process.\nContingency. An event or occurrence that could affect the execution of the project, which may be \naccounted for with a reserve.Contingency Reserve. Time or money allocated in the schedule or cost baseline for known risks with \nactive response strategies.Continuous Delivery. The practice of delivering feature increments immediately to customers, often \nthrough the use of small batches of work and automation technology.Contract. A mutually binding agreement that obligates the seller to provide the specified product, \nservice, or result and obligates the buyer to pay for it.Control. The process of comparing actual performance with planned performance, analyzing \nvariances, assessing trends to effect process improvements, evaluating possible alternatives, and \nrecommending appropriate corrective action as needed.\nControl Chart. A graphic display of process data over time and against established control limits, \nwhich has a centerline that assists in detecting a trend of plotted values toward either control limit.Cost Baseline. The approved version of the", + "chunk_order_index": 102, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-4152d90c2ab979b9f5b85dad6eba8668": { + "tokens": 1200, + "content": ", or result and obligates the buyer to pay for it.Control. The process of comparing actual performance with planned performance, analyzing \nvariances, assessing trends to effect process improvements, evaluating possible alternatives, and \nrecommending appropriate corrective action as needed.\nControl Chart. A graphic display of process data over time and against established control limits, \nwhich has a centerline that assists in detecting a trend of plotted values toward either control limit.Cost Baseline. The approved version of the time-phased project budget, excluding any management \nreserves, which can be changed only through formal change control procedures and is used as a basis \nfor comparison to actual results.\nCost-Benefit Analysis. A financial analysis method used to determine the benefits provided by \na project against its costs.\nPMI Seventh Edition July 2021238\nPMBOK® GuideCost Management Plan. A component of a project or program management plan that describes \nhow costs will be planned, structured, and controlled.\nCost of Quality (COQ). All costs incurred over the life of the product by investment in preventing \nnonconformance to requirements, appraisal of the pro duct or service for conformance to requirements, \nand failure to me et requirements.\nCost Performance Index (CPI). A measure of the cost efficiency of budgeted resources expressed \nas the ratio of earned value to actual cost.\nCost Plus Award Fee Contract (CPAF). A category of contract that involves payments to the seller for \nall legitimate actual costs incurred for completed work, plus an award fee representing seller pro fit.\nCost Plus Fixed Fee Contract (CPFF). A type of cost-reimbursable contract where the buyer \nreimburses the seller for the seller’s allowable costs (allowable costs are de fined by the contract) \nplus a fixed amount of profit (fee).\nCost Plus Incentive Fee Contract (CPIF). A type of cost-reimbursable contract where the buyer \nreimburses the seller for the seller’s allowable costs (allowable costs are de fined by the contract), \nand the seller earns its profit if it meets defined performance criteria.\nCost-Reimbursable Contract. A type of co ntract involving payment to the seller for the seller’s \nactual costs, plus a fee typic ally representing the seller’s pro fit.\nCost Variance (CV). The amount of budget deficit or surplus at a given point in time, expressed \nas the difference between the earned value and the actual cost.\nCrashing. A method used to shorten the schedule duration for the least incremental cost by \nadding resources.\nCriteria. Standards, rules, or tests on which a judgment or decision can be based or by which \na product, service, result, or process can be evaluated.\nCritical Path. The sequence of activities that represents the longest path through a project, which \ndetermines the shortest possible duration.\nCritical Path Method (CPM). A method used to estimate the minimum project duration and \ndetermine the amount of schedule flexibility on the logical network paths within the schedule model.\nCumulative Flow Diagram (CFD). A chart indicating features completed over time, features in other \nstates of development, and those in the backlog.\nCycle Time. The total elapsed time fro m the start of a particular activity or work item to i ts completion.\nCycle Time Chart. A diagram that shows the average cycle time of the work items completed \nover time.\nDaily Standup. A brief, daily collaboration meeting in which the team reviews progress from the \nprevious day, declares intentions for the current day, and highlights any obstacles encountered \nor anticipated.\nDashboard. A set of charts and graphs showing progress or performance against important \nmeasures of the project.\nPMI Seventh Edition July 2021239\nGlossaryData Gathering and Analysis Methods. Methods used to collect, assess, and evaluate data and \ninformation to gain a deeper understanding of a situation.\nDecision Tree Analysis. A diagramming and calculation method for evaluating the implications \nof a chain of multiple options in the presence of uncertainty.Decomposition. A method used for dividing and subdividing the project scope and project \ndeliverables into smaller, more manageable parts.Definition of Done (DoD). A checklist of all the criteria required to be met so that a deliverable can \nbe considered ready for customer use.Deliverable.\n Any unique and verifiable product, result, or capability to perform a service that is \nrequired to be produced to complete a process, phase, or project.Delivery Performance Domain. The performance domain that addresses activities and functions \nassociated with delivering the scope and quality that the project was undertaken to achieve.Development Approach. A method used to create and evolve the product, service, or result during \nthe project life cycle, such as a predictive, iterative, incremental, agile, or hybrid method.\nDevelopment Approach and Life Cycle Performance Domain. The performance domain that \naddresses activities and functions associated with the development approach, cadence, and life cycle phases of the project.\nDevOps. A collection of practices for creating a smooth flow of deliveries by improving collaboration \nbetween development and operations staff.\nDigital Product. A product or service that is delivered, used, and stored in an electronic format.\nDiscretionary Dependency. A relationship that is based on best practices or project preferences.\nDuration. The total number of work periods required to complete an activity or work breakdown \nstructure component, expressed in hours, days, or weeks. Contrast with effort.\nEarned Value (EV). The measure of work performed expressed in terms of the budget authorized \nfor that work.Earned Value Analysis (EVA).\n An analysis method that uses a set of measures associated with scope, \nschedule, and cost to determine the cost and schedule performance of a project.Effort. The number of labor units required to complete a schedule activity or work breakdown \nstructure", + "chunk_order_index": 103, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-719ffd3ff27915b62620bd5e561f9b92": { + "tokens": 1200, + "content": "activity or work breakdown \nstructure component, expressed in hours, days, or weeks. Contrast with effort.\nEarned Value (EV). The measure of work performed expressed in terms of the budget authorized \nfor that work.Earned Value Analysis (EVA).\n An analysis method that uses a set of measures associated with scope, \nschedule, and cost to determine the cost and schedule performance of a project.Effort. The number of labor units required to complete a schedule activity or work breakdown \nstructure component, often expressed in hours, days, or weeks. Contrast with duration.\nEmotional Intelligence. The ability to identify, assess, and manage the personal emotions of oneself \nand other people, as well as the collective emotions of groups of people.\nEnterprise Environmental Factors (EEF). Conditions, not under the immediate control of the team, \nthat influence, constrain, or direct the project, program, or portfolio.Epic. A large, related body of work intended to hierarchically organize a set of requirements and \ndeliver specific business outcomes.\nEstimate. A quantitative assessment of the likely amount or outcome of a variable, such as project \ncosts, resources, effort, or durations.\nPMI Seventh Edition July 2021240\nPMBOK® GuideEstimate at Completion (EAC). The expected total cost of completing all work expressed as the sum \nof the actual cost to date and the estimate to complete.\nEstimate to Complete (ETC). The expected cost to finish all the remaining project work. \nEstimating Methods. Methods used to develop an approximation of work, time, or cost on a project. \nExecuting Process Group. Those processes performed to complete the work defined in the project \nmanagement plan to satisfy the project requirements.\nExpected Monetary Value (EMV). The estimated value of an outcome expressed in monetary terms.\nExplicit Knowledge. Knowledge that can be codified using symbols such as words, numbers, \nand pictures.\nExternal Dependency. A relationship between project activities and non-project activities.\nFast Tracking. A schedule compression method in which activities or phases normally done \nin sequence are performed in parallel for at least a portion of their duration.\nFeature. A set of related requirements or functionalities that provides value to an organization.\nFirm Fixed Price Contract (FFP). A type of fixed-price contract where the buyer pays the seller a set \namount (as defined by the contract), regardless of the seller’s costs.\nFixed Duration. A type of activity where the length of time required to complete the activity remains \nconstant regardless of the number of people or resources assigned to the activity.\nFixed-Price Contract. An agreement that sets the fee that will be paid for a defined scope of work \nregardless of the cost or effort to deliver it.\nFixed Price Incentive Fee Contract (FPIF). A type of contract where the buyer pays the seller a set \namount (as defined by the contract), and the seller can earn an additional amount if the seller meets \ndefined performance criteria.\nFixed Price with Economic Price Adjustment Contract (FPEPA). A fixed-price contract, but with \na special provision allowing for predefined final adjustments to the contract price due to changed \nconditions, such as inflation changes, or cost increases (or decreases) for specific commodities.\nFlow. The measure of how efficiently work moves through a given process or framework.\nFlowchart. The depiction in a diagram format of the inputs, process actions, and outputs of one \nor more processes within a system.\nForecast. An estimate or prediction of conditions and events in the project’s future based on \ninformation and knowledge available at the time of the forecast.\nFunction Point. An estimate of the amount of business functionality in an information system, \nused to calculate the functional size measurement of a software system.\nGantt Chart. A bar chart of schedule information where activities are listed on the vertical axis, \ndates are shown on the horizontal axis, and activity durations are shown as horizontal bars placed \naccording to start and finish dates.\nGovernance. The framework for directing and enabling an organization through its established \npolicies, practices, and other relevant documentation.\nPMI Seventh Edition July 2021241\nGlossaryGrade. A category or rank used to distinguish items that have the same functional use but do not \nshare the same requirements for quality.\nHierarchy Chart. A chart that begins with high-level information that is progressively decomposed \ninto lower levels of detail.Histogram. A bar chart that shows the graphical representation of numerical data.\nHybrid Approach. A combination of two or more agile and nonagile elements, having a nonagile \nend result.\nImpact Mapping. A strategic planning method that serves as a visual roadmap for the organization \nduring product development.\nImpediment. An obstacle that prevents the team from achieving its objectives. Also known \nas a \nblocker.\nIncremental Approach. An adaptive development approach in which the deliverable is produced \nsuccessively, adding functionality until the deliverable contains the necessary and sufficient capability \nto be considered complete.\nIndefinite Delivery Indefinite Quantity (IDIQ). A contract that provides for an indefinite quantity \nof goods or services, with a stated lower and upper limit, within a fixed time period.Influence Diagram. A graphical representation of situations showing causal influen\nces, time ordering \nof events, and other relationships among variables and outcomes.Information Radiator. A visible, physical display that provides information to the rest of the \norganization, enabling timely knowledge sharing.Initiating Process Group. Those processes performed to define a new project or a new phase \nof an existing project by obtaining authorization to start the project or phase.Internal Dependency.\n A relationship between two or more project activities.\nInterpersonal Skills. Skills used to establish and maintain relationships with other people.\nIssue. A current condition or situation that may have an impact on the project objectives", + "chunk_order_index": 104, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-f26590633185039664a22449ce640bcd": { + "tokens": 1200, + "content": "ator. A visible, physical display that provides information to the rest of the \norganization, enabling timely knowledge sharing.Initiating Process Group. Those processes performed to define a new project or a new phase \nof an existing project by obtaining authorization to start the project or phase.Internal Dependency.\n A relationship between two or more project activities.\nInterpersonal Skills. Skills used to establish and maintain relationships with other people.\nIssue. A current condition or situation that may have an impact on the project objectives.Issue Log. A project document where information about issues is recorded and monitored.Iteration. A timeboxed cycle of development on a product or deliverable in which all of the work \nthat is needed to deliver value is performed.Iteration Plan. A detailed plan for the current iteration.\nIteration Planning. A meeting to clarify the details of the backlog items, acceptance criteria, and \nwork effort required to meet an upcoming iteration commitment.Iteration Review.\n A meeting held at the end of an iteration to demonstrate the work that was \naccomplished during the iteration.Iterative Approach. A development approach that focuses on an initial, simplified implementation \nthen progressively elaborates adding to the feature set until the final deliverable is complete.\nKanban Board. A visualization tool that shows work in progress to help identify bottlenecks and \novercommitments, thereby allowing the team to optimize the workflow.\nPMI Seventh Edition July 2021242\nPMBOK® GuideKickoff Meeting. A gathering of team members and other key stakeholders at the outset of a project \nto formally set expectations, gain a common understanding, and commence work.\nKnowledge. A mixture of experience, values and beliefs, contextual information, intuition, \nand insight that people use to make sense of new experiences and information.\nLag. The amount of time whereby a successor activity will be delayed with respect to \na predecessor activity.\nLast Responsible Moment. The concept of deferring a decision to allow the team to consider \nmultiple options until the cost of further delay would exceed the bene fit.\nLead. The amount of time whereby a successor activity can be advanced with respect to \na predecessor activity.\nLead Time. The time between a customer request and the actual delivery.\nLead Time Chart. A diagram showing the trend over time of the average lead time of the items \ncompleted in work.\nLean Startup Canvas. A one-page template designed to communicate a business plan with key \nstakeholders in an efficient and effective manner.\nLessons Learned. The knowledge gained during a project, which shows how project events were \naddressed or should be addressed in the future, for the purpose of improving future performance.\nLessons Learned Register. A project document used to record knowledge gained during a project, \nphase, or iteration so that it can be used to improve future performance for the team and the \norganization.\nLife Cycle. See project life cycle.\nLife Cycle Assessment (LCA). A tool used to evaluate the total environmental impact of a product, \nprocess, or system.\nLog. A document used to record and describe or denote selected items identi fied during execution \nof a process or activity. Usually used with a modifier, such as issue, change, or assumption.\nMake-or-Buy Analysis. The process of gathering and organizing data about product requirements \nand analyzing them against available alternatives including the purchase or internal manufacture \nof the product.\nManagement Reserve. An amount of the project budget or project schedule held outside of the \nperformance measurement baseline fo r management control purposes that is reserved for unforeseen \nwork that is wit hin the project s cope.\nMandatory Dependency. A relationship that is contractually required or inherent in the nature \nof the work.\nMeasurement Performance Domain. The performance domain that addresses activities and \nfunctions associated with assessing project performance and taking appropriate actions to maintain \nacceptable performance.\nMeasures of Performance. Measures that characterize physical or functional attributes relating \nto system operation.\nPMI Seventh Edition July 2021243\nGlossaryMethod. A means for achieving an outcome, output, result, or project deliverable.\nMethodology. A system of practices, techniques, procedures, and rules used by those who work \nin a discipline.Metric.\n A description of a project or product attribute and how to measure it.\nMilestone. A significant point or event in a project, program, or portfolio.Milestone Schedule. A type of schedule that presents milestones with planned dates.Minimum Viable Product (MVP). A concept used to define the scope of the first release of a solution \nto customers by identifying the fewest number of features or requirements that would deliver value.\nModeling. Creating simplified representations of systems, solutions, or deliverables, such as prototypes, \ndiagrams, or storyboards.\nMonitor. Collect project performance data, produce performance measures, and report and \ndisseminate performance information.Monitoring and Controlling Process Group. Those processes required to track, review, and regulate \nthe progress and performance of the project; identify any areas in which changes to the plan are required; and initiate corresponding changes.\nMonte Carlo Simulation. A method of identifying the potential impacts of risk and uncertainty using \nmultiple iterations of a computer model to develop a probability distribution of a range of outcomes \nthat could result from a decision or course of action.\nMood Chart. A visualization chart for tracking moods or reactions to identify areas for improvement.Multipoint Estimating. A method used to estimate cost or duration by applying an average \nor weighted average of optimistic, pessimistic, and most likely estimates when there is uncertainty \nwith the individual activity estimates.\nNet Promoter Score\n®. An index that measures the willingness of customers to recommend \nan organization’s products or services to others.Network Path.\n A sequence of activities connected by logical relationships in a project schedule \nnetwork diagram.Objective. Something toward which work is to be directed, a strategic position to be attained, \na purpose to", + "chunk_order_index": 105, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-92e821a9aae43c61bba53d3a6bb81f47": { + "tokens": 1200, + "content": "to estimate cost or duration by applying an average \nor weighted average of optimistic, pessimistic, and most likely estimates when there is uncertainty \nwith the individual activity estimates.\nNet Promoter Score\n®. An index that measures the willingness of customers to recommend \nan organization’s products or services to others.Network Path.\n A sequence of activities connected by logical relationships in a project schedule \nnetwork diagram.Objective. Something toward which work is to be directed, a strategic position to be attained, \na purpose to be achieved, a result to be obtained, a product to be produced, or a service \nto be performed.Opportunity. A risk that would have a positive effect on one or more project objectives.\nOrganizational Breakdown Structure (OBS).\n A hierarchical representation of the project \norganization, which illustrates the relationship between project activities and the organizational \nunits that will perform those activities.Organizational Process Assets (OPA).\n Plans, processes, policies, procedures, and knowledge bases \nthat are specific to and used by the performing organization.Osmotic Communication. Means of receiving information without direct communication \nby overhearing and through nonverbal cues.\nPMI Seventh Edition July 2021244\nPMBOK® GuideOutcome. An end result or consequence of a process or project.\nParametric Estimating. An estimating method in which an algorithm is used to calculate cost \nor duration based on historical data and project parameters.\nPerformance Measurement Baseline (PMB). Integrated scope, schedule, and cost baselines used \nfor comparison to manage, measure, and control project execution.\nPhase Gate. A review at the e nd of a phase in which a decision i s made to continue to the next phase , \nto continue with modification, or t o end a project or program.\nPlan. A proposed means of accomplishing something.\nPlanned Value (PV). The authorized budget assigned to scheduled work.\nPlanning Performance Domain. The performance domain that addresses activities and functions \nassociated with the initial, ongoing, and evolving organization and coordination necessary for \ndelivering project deliverables and results.\nPlanning Process Group. Those processes required to establish the scope of the project, re fine \nthe objectives, and define the course of action required to attain the objectives that the project was \nundertaken to achieve.\nPortfolio. Projects, programs, subsidiary portfolios, and operations managed as a group to achieve \nstrategic objectives.\nPortfolio Management. The centralized management of one or more portfolios to achieve \nstrategic objectives.\nPrecision. Within the quality management system, precision is an assessment of exactness.\nPredictive Approach. A development approach in which the project scope, time, and cost are \ndetermined in the early phases of the life cycle.\nPrioritization Matrix. A scatter diagram that plots effort against value so as to classify items \nby priority.\nPrioritization Schema. Methods used to prioritize portfolio, program, or project components, \nas well as requirements, risks, features, or other product information.\nProbabilistic Estimating. A method used to develop a range of estimates along with the associated \nprobabilities within that range.\nProbability and Impact Matrix. A grid for mapping the probability of occurrence of each risk \nand its impact on project objectives if that risk occurs.\nProcurement Management Plan. A component of the project or program management plan \nthat describes how a project team will acquire goods and services from outside of the performing \norganization.\nProduct. An artifact that is produced, is quantifiable, and can be either an end item in itself \nor a component item.\nProduct Breakdown Structure. A hierarchical structure reflecting a product’s components \nand deliverables.\nPMI Seventh Edition July 2021245\nGlossaryProduct Life Cycle. A series of phases that represent the evolution of a product, from concept \nthrough delivery, growth, maturity, and to retirement.\nProduct Management. The integration of people, data, processes, and business systems to create, \nmaintain, and evolve a product or service throughout its life cycle.\nProduct Owner. A person responsible for maximizing the value of the product and accountable \nfor the end product.Product Scope.\n The features and functions that characterize a product, service, or result.\nProgram. Related projects, subsidiary programs, and program activities that are managed in \na coordinated manner to obtain benefits not available from managing them individually.Program Management.\n The application of knowledge, skills, and principles to a program to \nachieve the program objectives and obtain benefits and control not available by managing program \ncomponents individually.\nProgressive Elaboration. The iterative process of increasing the level of detail in a project manage -\nment plan as greater amounts of information and more accurate estimates become available.Project. A temporary endeavor undertaken to create a unique product, service, or result.\nProject Brief. A high-level overview of the goals, deliverables, and processes for the project.Project Calendar. A calendar that identifies working days and shifts that are available for \nscheduled activities.Project Charter. A document issued by the project initiator or sponsor that formally authorizes the \nexistence of a project and provides the project manager with the authority to apply organizational \nresources to project activities.\nProject Governance. The framework, functions, and processes that guide project management \nactivities in order to create a unique product, service, or result to meet organizational, strategic, \nand operational goals.Project Lead. A person who helps the project team to achieve the project objectives, typically \nby orchestrating the work of the project. See also project manager .\nProject Life Cycle.\n The series of phases that a project passes through from its start to its completion.\nProject Management. The application of knowledge, skills, tools, and techniques to project activities \nto meet the project requirements.\nProject Management Body of Knowledge (PMBOK). A term that describes the knowledge within \nthe profession of project management. Project Management Office (PMO).", + "chunk_order_index": 106, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-97413340bcb726905c8f4fc6310f963a": { + "tokens": 1200, + "content": "project team to achieve the project objectives, typically \nby orchestrating the work of the project. See also project manager .\nProject Life Cycle.\n The series of phases that a project passes through from its start to its completion.\nProject Management. The application of knowledge, skills, tools, and techniques to project activities \nto meet the project requirements.\nProject Management Body of Knowledge (PMBOK). A term that describes the knowledge within \nthe profession of project management. Project Management Office (PMO). A management structure that standardizes the project-related \ngovernance processes and facilitates the sharing of resources, methodologies, tools, and techniques.Project Management Plan. The document that describes how the project will be executed, \nmonitored and controlled, and closed.\nProject Management Process Group. A logical grouping of project management inputs, tools and \ntechniques, and outputs. The Project Management Process Groups include Initiating processes, Planning processes, Executing processes, Monitoring and Controlling processes, and Closing processes.\nPMI Seventh Edition July 2021246\nPMBOK® GuideProject Management Team. The members of the project team who are directly involved in project \nmanagement activities.\nProject Manager. The person assigned by the performing organization to lead the team that \nis responsible for achieving the project objectives. See also project lead .\nProject Phase. A collection of logically related project activities that culminates in the completion \nof one or more deliverables.\nProject Review. An event at the end of a phase or project to assess the status, evaluate the value \ndelivered, and determine if the project is ready to move to the next phase or transition to operations.\nProject Schedule. An output of a schedule model that presents linked activities with planned dates, \ndurations, milestones, and resources.\nProject Schedule Network Diagram. A graphical representation of the logical relationships among \nthe project schedule activities.\nProject Scope. The work performed to deliver a product, service, or result with the speci fied features \nand functions.\nProject Scope Statement. The description of the project scope, major deliverables, and exclusions.\nProject Team. A set of individuals performing the work of the project to achieve its objectives.\nProject Vision Statement. A concise, high-level description of the project that states the purpose \nand inspires the team to contribute to the project.\nProject Work Performance Domain. The performance domain that addresses activities and \nfunctions associated with establishing project processes, managing physical resources, and fostering \na learning environment.\nPrototype. A working model used to obtain early feedback on the expected product before actually \nbuilding it.\nQuality. The degree to which a set of inherent characteristics fulfills requirements.\nQuality Management Plan. A component of the project or program management plan that \ndescribes how applicable policies, procedures, and guidelines will be implemented to achieve the \nquality objectives.\nQuality Metrics. A description of a project or product attribute and how to measure it.\nQua lity Policy. The basic principle s that should govern the o rganizati on’s actions as it impleme nts \nits system for quality management.\nQuality Report. A project document that includes quality management issues, recommendations \nfor corrective actions, and a summary of findings from quality control activities and may include \nrecommendations for process, project, and product improvements.\nRegister. A written record of regular entries for evolving aspects of a project, such as risks, \nstakeholders, or defects.\nRegression Analysis. An analytical method where a series of input variables are examined in relation \nto their corresponding output results in order to develop a mathematical or statistical relationship.\nPMI Seventh Edition July 2021247\nGlossaryRegulations. Requirements imposed by a governmental body. These requirements can establish \nproduct, process, or service characteristics, including applicable administrative provisions that have \ngovernment-mandated compliance.\nRelative Estimating. A method for creating estimates that are derived from performing a comparison \nagainst a similar body of work, taking effort, complexity, and uncertainty into consideration.Release. One or more components of one or more products, which are intended to be put into \nproduction at the same time.\nRelease Plan. The plan that sets expectations for the dates, features, and/or outcomes expected \nto be delivered over the course of multiple iterations.Release Planning. The process of identifying a high-level plan for releasing or transitioning a product,\n \ndeliverable, or increment of value.Report. A formal record or summary of information.Requirement. A condition or capability that is necessary to be present in a product, service, or result \nto satisfy a business need.\nRequirements Documentation. A record of product requirements and other product information, \nalong with whatever is recorded to manage it.Requirements Management Plan. A component of the project or program management plan that \ndescribes how requirements will be analyzed, documented, and managed.\nRequirements Traceability Matrix. A grid that links product requirements from their origin to the \ndeliverables that satisfy them.Reserve. A provision in the project management plan to mitigate cost and/or schedule risk, often \nused with a modifier (e.g., management reserve, contingency reserve) to provide further detail on what types of risk are meant to be mitigated.\nReserve Analysis. A method used to evaluate the amount of risk on the project and the amount \nof schedule and budget reserve to determine whether the reserve is sufficient for the remaining risk.Resource Breakdown Structure. A hierarchical representation of resources by category and type.\nResource Management Plan. A component of the project management plan that describes how \nproject resources are acquired, allocated, monitored, and controlled.\nResponsibility. An assignment that can be delegated within a project management plan such that \nthe assigned resource incurs a duty to perform the requirements of the assignment.Responsibility Assignment Matrix (RAM). A grid that shows the project resources assigned to each \nwork package.Result. An output from performing project management processes and activities. See also deliverable.\nRetrospective.", + "chunk_order_index": 107, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-f951826f2c8c5d12392c15b9e39300ae": { + "tokens": 1200, + "content": "Plan. A component of the project management plan that describes how \nproject resources are acquired, allocated, monitored, and controlled.\nResponsibility. An assignment that can be delegated within a project management plan such that \nthe assigned resource incurs a duty to perform the requirements of the assignment.Responsibility Assignment Matrix (RAM). A grid that shows the project resources assigned to each \nwork package.Result. An output from performing project management processes and activities. See also deliverable.\nRetrospective. A regularly occurring workshop in which participants explore their work and results \nin order to improve both the process and product.\nRework. Action taken to bring a defective or nonconforming component into compliance with \nrequirements or specifications.\nPMI Seventh Edition July 2021248\nPMBOK® GuideRisk. An uncertain event or conditio n that, if it occurs, has a po sitive or negative effect on one or more \nproject objectives.\nRisk Acceptance. A risk response strategy whereby the project team decides to acknowledge the risk \nand not take any action unless the risk occurs.\nRisk-Adjusted Backlog. A backlog that includes product work and actions to address threats and \nopportunities.\nRisk Appetite. The degree of uncertainty an organization or individual is willing to accept in \nanticipation of a reward.\nRisk Avoidance. A risk response strategy whereby the project team acts to eliminate the threat \nor protect the project from its impact.\nRisk Breakdown Structure (RBS). A hierarchical representation of potential sources of risks.\nRisk Enhancement. A risk response strategy whereby the project team acts to increase the \nprobability of occurrence or impact of an opportunity.\nRisk Escalation. A risk response strategy whereby the team acknowledges that a risk is outside \nof its sphere of influence and shifts the ownership of the risk to a higher level of the organization \nwhere it is more effectively managed.\nRisk Exploiting. A risk response strategy whereby the project team acts to ensure that an \nopportunity occurs.\nRisk Exposure. An aggregate measure of the potential impact of all risks at any given point in time \nin a project, program, or portfolio.\nRisk Management Plan. A component of the project, program, or portfolio management plan that \ndescribes how risk management activities will be structured and performed.\nRisk Mitigation. A risk response strategy whereby the project team acts to decrease the probability \nof occurrence or impact of a threat.\nRisk Register. A repository in which outputs of risk management processes are recorded.\nRisk Report. A project document that summarizes information on individual project risks and the \nlevel of overall project risk.\nRisk Review. The process of analyzing the status of existing risks and identifying new risks. May also \nbe known as risk reassessment .\nRisk Sharing. A ri sk response st rategy whereby the project team allocates ownership of an opportunity \nto a third part y who is best able to capture the benefit of that opportunity.\nRisk Threshold. The measure of ac ceptable variation around an object ive that refle cts the risk appetite \nof the organizat ion and stake holders. See also r isk appetite.\nRisk Transference. A risk response strategy whereby the project team shifts the impact of a threat \nto a third party, together with ownership of the response.\nRoadmap. A high-level time line that depicts such things as milestones, signi ficant events, reviews, \nand decision points.\nPMI Seventh Edition July 2021249\nGlossaryRole. A defined function to be performed by a project team member, such as testing, filing, \ninspecting, or coding.\nRolling Wave Planning. An iterative planning method in which the work to be accomplished in the \nnear term is planned in detail, while the work in the future is planned at a higher level.Root Cause Analysis. An analytical method used to determine the basic underlying reason that \ncauses a variance or a defect or a risk.Scatter Diagram. A graph that shows the relationship between two variables.Schedule. See project schedule .\nSchedule Baseline. The approved version of a schedule model that can be changed using formal \nchange control procedures and is used as the basis for comparison to actual results.\nSchedule Compression. A method used to shorten the schedule duration without reducing \nthe project scope.Schedule Forecasts.\n Estimates or predictions of conditions and events in the project’s future based \non information and knowledge available at the time the schedule is calculated.Schedule Management Plan. A component of the project or program management plan that \nestablishes the criteria and the activities for developing, monitoring, and controlling the schedule.\nSchedule Model. A representation of the plan for executing the project’s activities including durations, \ndependencies, and other planning information, used to produce a project schedule along with other scheduling artifacts.\nSchedule Performance Index (SPI). A measure of schedule efficiency expressed as the ratio \nof earned value to planned value.Schedule Variance (SV).\n A measure of schedule performance expressed as the difference between \nthe earned value and the planned value.Scope. The sum of the products, services, and results to be provided as a project. See also project \nscope and product scope .\nScope Baseline. The approved version of a scope statement, work breakdown structure (WBS), \nand its associated WBS dictionary that can be changed using formal change control procedures and \nis used as the basis for comparison to actual results.\nScope Creep. The uncontrolled expansion to product or project scope without adjustments to time, \ncost, and resources.Scope Management Plan. A component of the project or program management plan that describes \nhow the scope will be defined, developed, monitored, controlled, and validated.\nS-Curve. A graph that displays cumulative costs over a specified period of time.Self-Organizing Team. A cross-functional team in which people assume leadership as needed \nto achieve the team’s objectives.Sensitivity Analysis. An analysis method to determine which", + "chunk_order_index": 108, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-853d01d0583dd069eab457834e6c3c6c": { + "tokens": 1200, + "content": "expansion to product or project scope without adjustments to time, \ncost, and resources.Scope Management Plan. A component of the project or program management plan that describes \nhow the scope will be defined, developed, monitored, controlled, and validated.\nS-Curve. A graph that displays cumulative costs over a specified period of time.Self-Organizing Team. A cross-functional team in which people assume leadership as needed \nto achieve the team’s objectives.Sensitivity Analysis. An analysis method to determine which individual project risks or other \nsources of uncertainty have the most potential impact on project outcomes by correlating variations \nin project outcomes with variations in elements of a quantitative risk analysis model.\nPMI Seventh Edition July 2021250\nPMBOK® GuideServant Leadership. The practice of leading the te am by focusing o n understanding and \naddressing the needs and development of team members in order to enable the highest possible \nteam performance.\nSimulation. An analytical method that models the combined effect of uncertainties to evaluate their \npotential impact on objectives.\nSingle-Point Estimating. An estimating method that involves using data to calculate a single value \nwhich reflects a best guess estimate.\nSpecification. A precise statement of the needs to be satis fied and the essential characteristics that \nare required.\nSponsor. A person or group who provides resources and support for the project, program, o r portfolio \nand is accountable for enabling success.\nSprint. A short time interval within a project during which a usable and potentially releasable \nincrement of the product is created. See also iteration.\nStakeholder. An individual, group, or organization that may affect, be affected by, or perceive itself \nto be affected by a decision, activity, or outcome of a project, program, or portfolio.\nStakeholder Analysis. A metho d of systematical ly gathering and analyzing quantitative and qualitat ive \ninformation to de termine whose int erests should be taken into account throughout the project.\nStakeholder Engagement Assessment Matrix. A matrix that compares current and desired \nstakeholder engagement levels.\nStakeholder Engagement Plan. A component of the project management plan that identifies the \nstrategies and actions required to promote productive involvement of stakeholders in project or \nprogram decision making and execution.\nStakeholder Performance Domain. The performance domain that addresses activities and \nfunctions associated with stakeholders.\nStakeholder Register. A project document that includes information about project stakeholders \nincluding an assessment and classification of project stakeholders.\nStandard. A document establishe d by an authority, custom, or general consent as a model or example.\nStatement of Work (SOW). A narrative description of products, services, or results to be delivered \nby the project.\nStatus Meeting. A regularly scheduled meeting to e xchange and analyze informatio n about the current \nprogress of the project and its performance.\nStatus Report. A report on the current status of the project.\nSteering Committee. An advisory body of senior stakeholders who provide direction and support \nfor the project team and make decisions outside the project team’s authority.\nStory Map. A visual model of all the features and functionality desired for a given product, created \nto give the team a holistic view of what they are building and why.\nStory Point. A unit used to estimate the relative level of effort needed to implement a user story.\nPMI Seventh Edition July 2021251\nGlossaryStrategic Plan. A high-level document that explains an organization’s vision and mission plus the \napproach that will be adopted to achieve this mission and vision, including the specific goals and objectives to be achieved during the period covered by the document.\nStrategy Artifacts. Documents created prior to or at the start of the project that address strategic, \nbusiness, or high-level information about the project.\nSwarm. A method in which multiple team members focus collectively on resolving a specific problem \nor task.\nSWOT Analysis. Analysis of strengths, weaknesses, opportunities, and threats of an organization, \nproject, or option.\nTacit Knowledge. Personal knowledge that can be difficult to articulate and share such as beliefs, \nexperience, and insights.\nTailoring. The deliberate adaptation of approach, governance, and processes to make them more \nsuitable for the given environment and the work at hand.Task Board. A visual representation of the progress of the planned work that allows everyone to see \nthe status of the tasks.\nTeam Charter. A document that records the team values, agreements, and operating guidelines, \nas well as establishes clear expectations regarding acceptable behavior by project team members.Team Performance Domain. The performance domain that addresses activities and functions \nassociated with the people who are responsible for producing project deliverables that realize \nbusiness outcomes.\nTechnical Performance Measures. Quantifiable measures of technical performance that are used \nto ensure system components meet the technical requirements.Template. A partially complete document in a predefined format that provides a defined structure \nfor collecting, organizing, and presenting information and data.\nTest Plan. A document describing deliverables that will be tested, tests that will be conducted, and \nthe processes that will be used in testing.\nThreat. A risk that would have a negative effect on one or more project objectives.Threshold. A predetermined value of a measurable project variable that represents a limit that \nrequires action to be taken if it is reached.Throughput. The number of items passing through a process.\nThroughput Chart. A diagram that shows the accepted deliverables over time.\nTime and Materials Contract (T&M). A type of contract that is a hybrid contractual arrangement \ncontaining aspects of both cost-reimbursable and fixed-price contracts.\nTimebox. A short, fixed period of time in which work is to be completed.Tolerance. The quantified description of acceptable variation for a quality requirement.\nTrend Analysis. An analytical method that uses mathematical models to forecast future outcomes \nbased on historical results.\nPMI Seventh Edition July 2021252", + "chunk_order_index": 109, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-deae6fb3ccf5fe1684cdeb36bb26c517": { + "tokens": 1200, + "content": "ables over time.\nTime and Materials Contract (T&M). A type of contract that is a hybrid contractual arrangement \ncontaining aspects of both cost-reimbursable and fixed-price contracts.\nTimebox. A short, fixed period of time in which work is to be completed.Tolerance. The quantified description of acceptable variation for a quality requirement.\nTrend Analysis. An analytical method that uses mathematical models to forecast future outcomes \nbased on historical results.\nPMI Seventh Edition July 2021252\nPMBOK® GuideTriple Bottom Line. A framework for considering the full cost of doing business by evaluating \na company’s bottom line from the perspective of profit, people, and the planet.\nUncertainty. A lack of understanding and awareness of issues, events, path to follow, or solutions \nto pursue.\nUncertainty Domain. The performance domain that addresses activities and functions associated \nwith risk and uncertainty.\nUse Case. An artifact for describing and exploring how a user interacts with a system to achieve \na specific goal.\nUser Story. A brief description o f an outcome for a specific user, which is a promise for a convers ation \nto clarify details.\nValidation. The assurance that a product, service, or result meets the needs of the customer and \nother identified stakeholders. See also verification.\nValue. The worth, importance, or usefulness of something.\nValue Delivery Office (VDO). A project delivery support structure that focuses on coaching teams; \nbuilding agile skills and capabilities throughout the organization; and mentoring sponsors and \nproduct owners to be more effective in those roles.\nValue Delivery System. A collection of strategic business activities aimed at building, sustaining, \nand/or advancing an organization.\nValue Proposition. The value of a product or service that an organization communicates \nto its customers.\nValue Stream Map. A display of the critical steps in a process and the time taken in each step used \nto identify waste.\nValue Stream Mapping. A lean enterprise method used to document, analyze, and improve the flow \nof information or materials required to produce a product or service for a customer.\nVanity Metric. A measure that appears to show some result but does not provide useful information \nfor making decisions.\nVariance. A quantifiable deviation, departure, or divergence away from a known baseline \nor expected value.\nVariance Analysis. A method for determining the cause and degree of difference between the \nbaseline and actual performance.\nVariance at Completion (VAC). A projection of the amount of budget deficit or surplus, expressed \nas the difference between the budget at completion and the estimate at completion.\nVelocity. A measure of a team’s productivity rate at which the deliverables are produced, validated, \nand accepted within a predefined interval.\nVelocity Chart. A chart that tracks the rate at which the deliverables are produced, validated, and \naccepted within a predefined interval.\nVerification. The evaluation of whether or not a product, service, or result compli es with a regulation, \nrequirement, specification, or imposed condition. See also validation.\nPMI Seventh Edition July 2021253\nGlossaryVirtual Team. A group of people with a shared goal who work in different locations and who engage \nwith each other primarily through phone and other electronic communications.\nVision Statement. A summarized, high-level description about the expectations for a product such as \ntarget market, users, major benefits, and what differentiates the product from others in the market.\nVisual Data and Information. Artifacts that organize and present data and information in a visual \nformat, such as charts, graphs, matrices, and diagrams.Voice of the Customer. A planning method used to provide products, services, and results that truly \nreflect customer requirements by translating those customer requirements into the appropriate \ntechnical requirements for each phase of project or product development.\nVolatility. The possibility for rapid and unpredictable change.\nWaste. Activities that consume resources and/or time without adding value.WBS Dictionary. A document that provides detailed deliverable, activity, and scheduling information \nabout each component in the work breakdown structure.\nWhat-If-Scenario Analysis. The process of evaluating scenarios in order to predict their effect on \nproject objectives.Wideband Delphi. An estimating method in which subject matter experts go through multiple \nrounds of producing estimates individually, with a team discussion after each round, until \na consensus is achieved.\nWork Breakdown Structure (WBS). A hierarchical decomposition of the total scope of work \nto be carried out by the project team to accomplish the project objectives and create the required \ndeliverables.\nWork Package. The work defined at the lowest level of the work breakdown structure for which cost \nand duration are estimated and managed.\nPMI Seventh Edition July 2021PMI Seventh Edition July 2021255\nIndexIndex\nA\nAccountability, sponsors and, 208\nAccuracy\ndefinition, 52estimating and, 55\nAchievement, theory of needs and, 159Active listening, 12, 21Activity list, 192Actual cost compared to planned cost, 100Adaptability, high-performing project teams \nand, 22\nAdaptive development approach, 38, 45, 49, 53Adaptive schedule planning, 81, 82ADKAR\n® Model, 161\nAffiliation, theory of needs and, 159Affinity diagram, 188Affinity grouping, 178Agile approaches, 38Agile Center of Excellence (ACoE), 212Agile charter, 84Agile methods\nadaptive approach and, 50development approach and, 49flow-based scheduling and, 45organization and, 41\nAgreements. See also Contract(s); Service level \nagreement\ncontracts and, 191\nAlignment\nPlanning Performance Domain, 67\nAlternatives analysis, 122, 174Ambiguity\ndefinition, 117solutions for, 120types", + "chunk_order_index": 110, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-8600675e79622a16e8b3a8f5e75972bf": { + "tokens": 1200, + "content": "38Agile Center of Excellence (ACoE), 212Agile charter, 84Agile methods\nadaptive approach and, 50development approach and, 49flow-based scheduling and, 45organization and, 41\nAgreements. See also Contract(s); Service level \nagreement\ncontracts and, 191\nAlignment\nPlanning Performance Domain, 67\nAlternatives analysis, 122, 174Ambiguity\ndefinition, 117solutions for, 120types of, 120Uncertainty Performance Domain, 120\nAnalogous estimating, 178Analytical techniques, 176–177Appraisal costs, 88Approach, win-win perspective and, 170Artifacts, 184–195 \nagreements, 191applied across performance domains, 192–195baselines, 188communication, 79contracts, 191definition, 153hierarchy charts, 187logs and registers, 185other important, 192overview, 153–155plans, 186–187reports, 190strategy, 184tailoring, 136visual data and information, 188–190\nAssignment matrix, 189Assumption and constraint analysis, 174Assumption log, 185Assumption(s), 20, 24, 121Attribute(s), tailoring and, 141Audits, 115\nprocess, 72, 79, 87procurement, 79quality, 88\nAutonomy, 159Avoidance, threat, 123, 126\nPMI Seventh Edition July 2021256\nPMBOK® GuideB\nBAC. See Budget at completion\nBacklog, 45, 62, 76, 96, 185Backlog refinement meeting, 179Balance\ncompeting constraints and, 72reframing and, 111\nBar chart, 106Baseline(s), 188. See also Cost baseline; Scope \nbaseline\ndefinition, 93\nBaseline performance, 100–101Basic ordering agreement (BOA), 191Basis of estimates, 20, 54Behavior\nproject management principles and, 146sponsors, 209\nBenchmarking, 175Benefit-cost ratio, 102Benefits realization, PMO and, 214Best practices, benchmarking and, 175Bias(es)\nconfirmation bias, 112conscious and unconscious, 20\nBidder conferences, 70, 75, 179Bid documents, 70, 75, 192Bid process, 75Big picture perspective, 207, 213Big visible charts (BVCs), 108Bottlenecks, 71Brainstorming, 13, 22, 121Budget\nbudget build up, 62–63definition, 52, 188Planning Performance Domain, 62–63\nBudget at completion (BAC), 104–105Burn charts, 108, 109, 111Burndown/burnup chart, 188Burndown chart, 108, 109Burnup chart, 108, 109, 111“Business as usual,” 163Business case\nbusiness value and, 102definition, 184delivery cadence and, 50description of, 82feasibility phase and, 42outcomes and, 175planning and, 54as strategy artifact, 184value and, 82\nBusiness case document, 22Business justification analysis methods, 175Business model canvas, 184Business value, 82Business value measurements, 82Buyer\nagreements, contracts and, 191bid process and, 75\nC\nCadence\ndefinition, 33delivery, 33–34Development Approach and Life Cycle Performance Domain, 33–34, 46–48life cycle, development and, 33, 55\nCalendar, project, 192Capabilities, PMO and, 213, 214Cause-and-effect diagram, 188Celebrating success, 21Change(s)\ncost of, 90–91culture of, 214ease of, 408-Step Process for Leading, 162, 173monitoring new work and, 76–77Planning Performance Domain, 66transitions associated with, 164\nChange control\nchanges and, 66checking results and, 68\nChange control board (CCB), 68, 77, 169, 183, 186Change control plan, 186Change control system, 107Change log, 185Change management, 213\nPMI Seventh Edition July 2021257\nIndexChange models, 160–164\n8-Step Process for Leading Change, 162\nADKAR® Model, 161\nTransition Model, 164Virginia Satir Change Model, 163\nChange request(s), 77Chaos, 163Character, win-win perspective and, 170Chart(s)\nbig visible charts (BVCs), 108burn, 108, 109burndown, 108burnup, 108types of, other, 109\nCheck, sponsor and, 209Checking outcomes\nDelivery Performance Domain, 92Development Approach and Life Cycle Performance Domain, 50Measurement Performance Domain, 115Planning Performance Domain, 68Project Work Performance Domain, 79Stakeholder Performance Domain, 15Team Performance Domain, 31Uncertainty Performance Domain, 129\nChecklists, 174Check sheet, 175Close phase, 47Closing Process Group, 171Collaboration\ndistributed project teams and, 30high-performing project teams and, 22\nColocated teams, 135, 142, 147Combined burn chart, 108Common situations, tailoring and, 151Communication\nchannels, 157conversation, 14, 156, 192cross-cultural, 157discourse, positive, 21eng", + "chunk_order_index": 111, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-a7ca9a9f6e2f50b821296aa0990e0144": { + "tokens": 1200, + "content": "Domain, 129\nChecklists, 174Check sheet, 175Close phase, 47Closing Process Group, 171Collaboration\ndistributed project teams and, 30high-performing project teams and, 22\nColocated teams, 135, 142, 147Combined burn chart, 108Common situations, tailoring and, 151Communication\nchannels, 157conversation, 14, 156, 192cross-cultural, 157discourse, positive, 21engagement and, 73high-performing project teams and, 22interactive, 13nonverbal, 26open, 22Planning Performance Domain, 64Project Work Performance Domain, 73sponsors and, 209styles, 157types of, 13written, 72, 73\nCommunication artifacts, 79Communication models, 157–158\ncommunication channels, effectiveness of, 157cross-cultural communication, 157gulf of evaluation, 158gulf of execution, 158\nCommunication planning, 64Communications management plan, 79, 186Community action patrol (CAP) training, 45Community center\ndevelopment approaches, 36, 38, 39life cycle, 48\nCompetence, 156, 213Complaints, 89Completion, moving targets of, 85–87Completion criteria, 85Complexity, 120–121\ndefinition, 117process-based, 121reframing, 121systems-based, 121Uncertainty Performance Domain, 120–121\nComplexity models, 164–165\nCynefin framework, 164–165Stacey matrix, 165\nCompliance\nproduct/deliverable and, 142\nConceptual ambiguity, 120Confidence, 55Confirmation bias, 112Conflict management, 29Conflict model, 168–169Conformance\nappraisal and, 88cost of quality and, 81, 175process, 71\nConstraints, balancing competing, 72Contingency plans, 119, 123Contingency reserve, 62, 63, 127. See also \nReserve analysis\nPMI Seventh Edition July 2021258\nPMBOK® GuideContinuous delivery\ndescription of, 34\nsupporting strategies for, 222\nContinuous development, 218Continuous digital approach, 34Continuous improvement, 139, 213, 214Contracting processes, 75–76Contractor conferences. See Bidder conferencesContracts, 191. See also Agreements\nControl chart, 106Controlling, monitoring and, 171Conversation, 14, 156, 192COQ. See Cost of quality\nCorrective action, 190Correlation versus causation, 112Cost(s)\nactual, 100appraisal, 88change and, 90–91external failure, 89failure, 88, 89internal failure, 89prevention, 88\nCost baseline, 62, 63, 188Cost-benefit analysis, 175Cost-benefit ratio, 102Cost estimates, 62, 63, 105Cost management plan, 186Cost of change, 90–91Cost of quality (COQ), 88–89\nappraisal, 88data gathering and analysis, 175definition, 81Delivery Performance Domain, 88–89external failure, 89internal failure, 89prevention, 88\nCost performance index (CPI), 100, 104Cost plus award fee (CPAF), 191Cost plus fixed fee (CPFF), 191Cost plus incentive fee (CPIF), 191Cost-reimbursable contracts, 191Cost reserve, 122Cost variance (CV), 80Courage, 21CPAF. See Cost plus award feeCPFF. See Cost plus fixed feeCPI. See Cost performance indexCPIF. See Cost plus incentive feeCrashing, 52Criteria\nacceptance, 42, 82, 85completion, 85entry, 46exit, 42, 46, 50requirements elicitation and, 83\nCritical path, 100Critical success factor, 207Critical thinking, 24Cross-cultural communication model, 157Culture\norganization and, 41, 143tailoring for project, 143team, 20\nCumulative flow diagram (CFD), 188Customer centricity, 131, 219, 225Customer-centric organizations, 225Customer focus, 208Customer requests, 66Customer satisfaction, 95, 112CV.See Cost variance\nCycle time chart, 189Cynefin framework, 164–165\nD\nDaily scrum, 179Daily standup, 127, 179Dashboards, 106–107\ndefinition, 93,visual data and, 189\nData analysis, outputs of, 174Data gathering and analysis, 174–177Decision making, 27–28\ngroup-based, 28sponsors and, 208\nDecision tree analysis, 175Decomposition. See also Work breakdown \nstructure (WBS)\nscope, 84\nPMI Seventh Edition July 2021259\nIndexDecoupling, 121\nDefect(s)\nexternal failure costs and, 89integrity and, 20internal failure costs and, 89metrics and, 97, 98prevention of, 68reputation and, 69\nDefinition of done (DoD), 81, 85Deliverable(s)\ncompletion of, 85definition, 33, 82degree of innovation and, 39\nDelivery Performance Domain, 82–87\ndevelopment approach for, 50hybrid approach and, 36lagging indicators and, 96project, 54requirements, 82–83", + "chunk_order_index": 112, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-a4dac29d253ea864991560250a7616af": { + "tokens": 1200, + "content": "and, 89metrics and, 97, 98prevention of, 68reputation and, 69\nDefinition of done (DoD), 81, 85Deliverable(s)\ncompletion of, 85definition, 33, 82degree of innovation and, 39\nDelivery Performance Domain, 82–87\ndevelopment approach for, 50hybrid approach and, 36lagging indicators and, 96project, 54requirements, 82–83tailoring for project, 142\nDelivery cadence, 32–34, 46–50\nDevelopment Approach and Life Cycle Performance Domain, 46–48\nDelivery/deliveries\ncontinuous, 34measurements of, 99models, 221multiple, 34ongoing delivery model and, 221options for, 40periodic, 34Planning Performance Domain, 54project management office (PMO) and, 213single delivery, 34\nDelivery Performance Domain, 80–92\ndefinitions relevant to, 81deliverables, 82–87interactions with other performance \ndomains, 91outcomes, checking, 92outcomes, desired, 80outcomes, suboptimal, 91overview, 80–81quality, 87–91tailoring considerations, 149value, delivery of, 81–82Demoralization, 112Dependencies, types of, 60Deploy phase, 47Design, set-based, 119Design reviews, 127Desired outcomes\nMeasurement Performance Domain, 93Uncertainty Performance Domain, 116\nDevelopment and delivery approach, tailoring \nand, 137\nDevelopment Approach and Life Cycle \nPerformance Domain, 32–50\naligning delivery cadence, development approach, and life cycle, 46–49definitions relevant to, 33delivery cadence, 33–34development, cadence, and life cycle relationship, 33development approaches, 35–41interactions with other performance domains, 49–50life cycle and phase definitions, 42–45outcomes and, 32, 50overview, 32tailoring and, 148, 150\nDevelopment approaches, 35–39\nadaptive approach, 38community center and, 36, 38, 39considerations for selection of, 39–41hybrid approach, 36incremental development, 37iterative development, 37planning variables and, 53predictive approach, 35–36spectrum view of, 35tailoring process and, 138\nDevelopment life cycle, 89Development phase, 47DevOps approach, 34Diagnostics, tailoring and, 151Discourse, positive, 21Discretionary dependency, 60Diversion shield, 18Diversity, reframing and, 121\nPMI Seventh Edition July 2021260\nPMBOK® GuideDocument(s)\nbid, 70, 75, 192\nbusiness, 82business case document, 82project, 62project-authorizing, 82\nDocumentation\nrequirements, 83, 192written communication, 73\nDomains. See Performance domains; Project \nperformance domains\nDrexler/Sibbet Team Performance Model, 167Duration, 52, 62, 224\neffort and, 100\nDuration estimates, 105\nE\nEAC. See Estimate at completionEarned value (EV), 100, 101Earned value analysis (EVA)\ndefinition, 176schedule and cost variance, 101\nEarned value management (EVM), 100, 104, 105Effort, 100\n8-Step Process for Leading Change, 162, 173\nEmotional intelligence (EI), 25–27\ncomponents of, 27key areas, 26\nEmpowerment\nculture and, 143high-performing project teams and, 22tailoring engagement and, 136\nEMV. See Expected monetary value (EMV)Encouragement, development opportunities \nand, 18\nEngage, 121Engagement. \nSee also Stakeholder engagement\ncommunication and, 73lack of, sponsor and, 208Project Work Performance Domain, 73tailoring, 136Enterprise-level PMO (EPMO), 212Environment\nproduct, 222tailoring and, 154\nEnvironmental considerations, 53, 129Escalation\nthreats and, 123\nEstimate(s). See also Basis of estimates\nanalogous, 178definition, 52parametric, 178\nEstimate at completion (EAC), 104, 105Estimate to complete (ETC), 104, 105Estimating, 55–58\nabsolute, 57adjusting estimates for uncertainty, 58deterministic, 57flow-based, 58life cycle phase and, 55low accuracy, high precision, 56Planning Performance Domain, 55–58probabilistic, 57range decreasing over time, 56relative, 57, 58\nEstimating methods, 178EVA. See Earned value analysisEVM. See Earned value managementException plan\ndefinition, 114triggering of, 113\nExecuting Process Group, 171Expected monetary value (EMV), 116, 126, 176Expert judgment, 104. See also Subject matter \nexperts (SMEs)\nExplicit knowledge, 70, 77–78External dependency, 60External failure costs, 89Extrinsic motivation, 159\nPMI Seventh Edition July 2021261\nIndexF\nFail safe, 121\nFailure analysis, 89Failure costs\ninternal and external, 89noncompliance and, 88\nFast tracking, 52, 59, 60Feas", + "chunk_order_index": 113, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-86461fb85086d50ab5b3eb2402d32acd": { + "tokens": 1200, + "content": "176Expert judgment, 104. See also Subject matter \nexperts (SMEs)\nExplicit knowledge, 70, 77–78External dependency, 60External failure costs, 89Extrinsic motivation, 159\nPMI Seventh Edition July 2021261\nIndexF\nFail safe, 121\nFailure analysis, 89Failure costs\ninternal and external, 89noncompliance and, 88\nFast tracking, 52, 59, 60Feasibility, 42, 43Feature completion rates, 100Feedback loops, 13, 161Fees, contracts and, 91FFP. See Firm fixed priceFinance, 221Finish date, 100Finish-to-finish relationship, 59Finish-to-start relationship, 59Firm fixed price (FFP), 191Fist of five voting, 28Fixed-price contracts, 191Fixed price incentive fee (FPIF), 191Fixed price with economic price adjustment \n(FPEPA), 191\nFlow-based estimating, 58Flow-based projects, 109Flow-based scheduling, 45Flowchart, 189Focus groups, 83, 174Forecasting, 104–105\ndata gathering and analysis, 176methods, 32, 160–161\nForming, storming, norming, performing, \nadjourning, 166\nFPIF. \nSee Fixed price incentive fee\nFFP. See Firm fixed priceFunction point, 178Funding, 224\navailability of, 41incremental, 222, 223limitations, 62project processes and, 71requirements, 46G\nGantt chart, 189Globalization/global environment\ncross-cultural communication, 157distributed project teams, 30\nGlobal market shifts, 219–221Good practices, 165, 180, 212Governance. See also Organizational governance\ndevelopment approach and, 148project, 87tailoring, and, 131, 139\nGroup(s).\nexternal, 140Process Groups, 170–171\nGrowth, 19Guidance, 19Gulf of evaluation, 158Gulf of execution, 158\nH\nHawthorne effect, 112Hierarchical charts, 187High-level requirements, 39High-performing project teams, 22Histogram, 175, 189Historical information, 149Holistic thinking approach, 51, 68, 89Holistic view, 98, 190Hybrid development approach, 33, 36Hygiene factors, 158\nI\nID. See Activity identifierIdea, transforming, 163Identified risks, 127Identify step, stakeholder engagement, 11IDIQ. See Indefinite delivery indefinite quantity\nImpact mapping, 181Improvement, continuous, 139, 213, 214Incremental development approach, 37, 44Incremental guidance and funding, 223\nPMI Seventh Edition July 2021262\nPMBOK® GuideIndefinite delivery indefinite quantity (IDIQ), 191\nIndicators. See Key performance indicators (KPIs)Individual project risk, 177, 190Industry/industries\nmarket and, 142traditional product, 224\nInfluence\ndevelopment approach and, 39, 40, 41leadership and, 29sponsors and, 209\nInfluence diagram, 176Information\ngathering, 119historical, 149Measurement Performance Domain, 106–111presenting, 106–111\nInformation radiator, 108, 109Initiating Process Group, 171Initiatives, critical, 214Innovation\ndegree of, 39\nInput(s)\nflow of deliveries and, 45Process Groups and, 171\nInputs, tools/techniques, and outputs (ITTOs), 6Inspection, 42, 47, 88, 89Integration\npractice and, 163tailoring engagement and, 136\nIntegrity, 20Intellectual property, 75Interactions, performance domains\nDelivery Performance Domain, 91Development Approach and Life Cycle Performance Domain, 49–50Measurement Performance Domain, 114–115Planning Performance Domain, 67Project Work Performance Domain, 78Stakeholder Performance Domain, 14Team Performance Domain, 31Uncertainty Performance Domain, 128\nInternal dependency, 60Internal failure costs, 89Internal rate of return (IRR), 175Interpersonal skills, 25–29\nsoft skills, 12stakeholder engagement and, 12types of, 23–29\nIntrinsic motivation, 159IRR. See Internal rate of returnIssue log, 185Iterate, 121Iteration, 44–45, 53Iteration plan, 61, 186Iteration planning meeting, 179Iteration review, 179Iterative development, 37Iterative process, 120ITTOs. See Inputs, tools/techniques, and outputs\nJ\nJob shadowing, 78Judgment. See Expert judgment\nJust-in-time scheduling approach, 45\nK\nKanban boards, 109, 110Kanban scheduling system, 45Key performance indicators (KPIs), 95–96Key stakeholders, 11, 23, 44, 167, 179Kickoff meeting, 179, 183Knowledge\nexplicit, 70, 77–78tacit, 77–78\nKnowledge management, 77Knowledge management repository, 149Knowledge transfer, 213KPIs. See Key performance indicators\nL\nLagging indicators, 96Lags, leads and, 59Late start and finish dates, 100\nPMI Seventh Edition July 2021263\nIndexLeadership\ncentralized management and, 17\ndistributed management and, 17–18styles and", + "chunk_order_index": 114, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-ce54368cc03d7ca8aad29788b4623715": { + "tokens": 1200, + "content": "183Knowledge\nexplicit, 70, 77–78tacit, 77–78\nKnowledge management, 77Knowledge management repository, 149Knowledge transfer, 213KPIs. See Key performance indicators\nL\nLagging indicators, 96Lags, leads and, 59Late start and finish dates, 100\nPMI Seventh Edition July 2021263\nIndexLeadership\ncentralized management and, 17\ndistributed management and, 17–18styles and, 30team, 17–19\nLeadership skills, 23–29\ncritical thinking, 24interpersonal skills, 25–29motivation, 24–25team, 23–29vision, establishing and maintaining, 23\nLeadership styles, tailoring, 30Leading indicators, 96Leads, lags and, 59Lead time chart, 189Lean production methods, 71Lean scheduling approach, 45Learning throughout project\nexplicit and tacit knowledge, 77–78knowledge management, 77\nLegal requirements, 118, 149Legal restrictions, 54Lessons learned. See also Retrospectives\nmeetings, 127, 180retrospectives or, 71tailoring and, 151\nLessons learned register, 185Life cycle. See also Predictive life cycle; Product \nlife cycle; Project life cycle\nadaptive development approach, 45community center, 48development, 89Development Approach and Life Cycle Performance Domain, 42–45incremental development approach, 44phase definitions and, 42–45phases in, 42, 46–48predictive, 43, 49tailoring and, 150\nLife cycle and development approach, tailoring \nand, 134\nLife cycle assessment, 176Logs and registers, 185M\nMake-or-buy analysis, 65, 176Management\nchange, 213conflict, 29project team, leadership and, 17–19requirements and, 83self-management, 26, 27\nManagement reserve, 127Mandatory dependency, 60Market conditions, 54Market shifts, global, 219–221Master project schedule, 74Mastery, 159Materials, environment and, 53Measurement(s). See also Metrics\nbaseline performance, 100–101business value, 102delivery, 99effective, establishment of, 95–105forecasts, 104–105key performance indicators (KPIs), 95–96pitfalls, 111–112resources, 101stakeholders, 103–104what to measure, 98–105\nMeasurement Performance Domain, 93–115\nchecking results, 115definitions relevant to, 93effective measures, establishment of, 95–105establishing effective measures, 95–105growing and improving, 114interactions with other performance \ndomains, 114–115measurement pitfalls, 111–112outcomes, checking, 115outcomes, desired, 93overview, 93–95presenting information, 106–111tailoring considerations, 150troubleshooting performance, 113–114what to measure, 98–105\nMedia richness, 157\nPMI Seventh Edition July 2021264\nPMBOK® GuideMeetings\nbidder conference, 70, 179\nchange control, 179events and, 179–180retrospectives/lessons learned, 71, 127, 179risk review and, 127standup, 127, 179types of, 179–180\nMemorandum of agreement (MOA), 191Memorandum of understanding (MOU), 191Methods, 174–181\napplied across performance domains, 181–183data gathering and analysis, 174–177definition, 153estimating, 178impact mapping, 181meetings and events, 179–180modeling, 181Net Promoter Score\n® (NPS®), 181\noverview, 153–155prioritization schema, 181tailoring, 136timebox, 181\nMetrics. See also Measurement Performance \nDomain; Measurement(s)\ndefinition, 93, 192deliverable, 98effective, 97misuse of, 112Planning Performance Domain, 66SMART criteria, 97vanity metric, 112work performance, 66\nMilestones, roadmap and, 184Milestone schedule, 188. See also Master \nproject schedule\nModeling, 181Models. See also\n Change models; Communication \nmodels; Complexity models; Motivation models; Negotiation models\napplied across performance domains, 112–113commonly used, 95–98conflict, 168–169definition, 153mapping of, performance domains and, 173OSCAR model, 156overview, 153–155planning, 170Process Groups, 170–171project team development, 166–167Salience Model, 171situational leadership, 155–156win-win perspective and, 169, 170\nMonitoring\ncontrolling and, 171new work and changes, 76–77\nMonitoring and Controlling Process Group, 171Monte Carlo simulation, 177Mood chart, 103Morale, 104, 112MoSCoW, 181Motivation\nemotional intelligence and, 27leadership skills and, 24–25sponsors and, 210\nMotivation models, 158–160\nhygiene and motivational factors, 158intrinsic versus extrinsic motivation, 159theory of needs, 159Theory X, Theory Y, and Theory Z, 160\nMOA. See Memorandum of agreement\nMOU. See Memorandum of understandingMult", + "chunk_order_index": 115, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-d2c2710174b73a5ef984fb635b1de69d": { + "tokens": 1200, + "content": "112MoSCoW, 181Motivation\nemotional intelligence and, 27leadership skills and, 24–25sponsors and, 210\nMotivation models, 158–160\nhygiene and motivational factors, 158intrinsic versus extrinsic motivation, 159theory of needs, 159Theory X, Theory Y, and Theory Z, 160\nMOA. See Memorandum of agreement\nMOU. See Memorandum of understandingMulticriteria weighted analysis, 181Multipoint estimating, 178\nN\nNegative risks (threats), 121, 122Negotiation models, 169–171\nplanning, 170Process Groups, 170–171win-win perspective and, 169, 170\nNet present value (NPV), 102, 175Net Promoter Score\n® (NPS®), 103, 181\nNetworking, 78Network logic, 59Network path, 59Nonconformance, prevention of, 81, 175Non-value-added work, 71, 72, 99Nonverbal communication, 26NPV. See Net present value\nPMI Seventh Edition July 2021265\nIndexO\nObjectives, vision and, 18\nOBS. See Organizational breakdown structure\nObstacle removal, 18Ongoing provision and payment, 220–221Opportunities\ndevelopment, 18strategies for, 125\nOrganization(s)\ncustomer-centric, 225customers and, relationship between, 220tailoring for, 139–140\nOrganizational breakdown structure (OBS), 187Organizational capability, 41Organizational culture, 41, 143. See also Culture\nOrganizational factors, tailoring and, 140Organizational governance\nstructures, 30tailoring and, 152\nOrganizational requirements, 54Organizational strategy, 212Organizational structure(s). See also Project \nmanagement office (PMO)\ndescription of, 41governance, 30\nOSCAR model, 156Outcome(s). See also Checking outcomes; \nDesired outcomes\nchecking results and, 68multiple, preparing for, 119outcomes-oriented capabilities, 213project management office (PMO) and, 213suboptimal, 91\nOutput(s). See also Inputs, tools/techniques, \nand outputs\ndata analysis and, 174Process Groups and, 171\nOverall project risk, 122Overlapping project phases, 50Ownership, shared, 22P\nParameters, 98, 178Parametric estimating, 178Partner, sponsor as, 209Payback period, 175Payment, ongoing provision and, 220–221PBP. See Payback periodPeople, tailoring engagement and, 136Performance. See also Key performance \nindicators (KPIs)\nbaseline, 100–101, 188Measurement Performance Domain, 113–114reviews, 68\nPerformance domains. See also Project \nperformance domains\nartifacts applied across, 192–195Delivery Performance Domain, 80–92Development Approach and Life Cycle Performance Domain, 32–50mapping of artifacts and, 193–195mapping of methods and, 182–183mapping of models used in each, 173Measurement Performance Domain, 93–115methods applied across, 181–183models applied across, 172–173Planning Performance Domain, 51–68project management principles and, 4Project Work Performance Domain, 69–79Stakeholder Performance Domain, 8–15Team Performance Domain, 16–31Uncertainty Performance Domain, 116–129\nPerspective, project management office (PMO) \nand, 213\nPhase. See Project phase(s)Phase definitions, life cycle and, 42–45Phase gate reviews, 42, 46, 47Physical resources\nmanagement of, 73–74planning for, 65Planning Performance Domain, 65Project Work Performance Domain, 73–74\nPie charts, 106Plan(s), 186–187\nexception plan, 113, 114\nPMI Seventh Edition July 2021266\nPMBOK® GuidePlanned benefits delivery compared to actual \nbenefits delivery, 102\nPlanned resource cost compared to actual \nresource cost, 101\nPlanned resource utilization compared to actual \nresource utilization, 101\nPlanned value (PV), 100, 101\nPlanning\nhigh-level, 52negotiation models and, 170\nPlanning meeting, 180Planning Performance Domain, 51–68\nalignment, 67changes, 66checking results, 68communication, 64definitions relevant to, 52interactions with other performance \ndomains, 67metrics, 66outcomes, checking, 68outcomes, desired, 51physical resources, 65planning overview, 52–53planning variables, 53–63procurement, 65project team composition and structure, 63–64tailoring considerations, 148\nPlanning Process Group, 171Planning overview, 52–53Planning variables, 53–63\nbudget, 62–63delivery and, 54estimating and, 55–58schedules, 58–62\nPM. See Project managerPMIstandards+, 6, 174PMO. See Project management office (PMO)Portfolio leaders, 95Positive risks (opportunities), 122Power, theory of needs and, 159Pre-bid conferences, 70, 179Precision\ndefinition, 52description of, 55level of, 56Predecessor, 59Predictive developmental approach, 35–36Predictive life cycle, 43, 49Presentations, 73Presenting", + "chunk_order_index": 116, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-34b346c878ea1d57fb2ff4f6c484eb69": { + "tokens": 1200, + "content": "Istandards+, 6, 174PMO. See Project management office (PMO)Portfolio leaders, 95Positive risks (opportunities), 122Power, theory of needs and, 159Pre-bid conferences, 70, 179Precision\ndefinition, 52description of, 55level of, 56Predecessor, 59Predictive developmental approach, 35–36Predictive life cycle, 43, 49Presentations, 73Presenting information, 106–111\ndashboards, 106–107information radiators, 108visual controls, 109–111\nPrevention costs, 88Prioritization matrix, 189Prioritization schema, 181Prioritize, stakeholder engagement, 12Probabilistic estimating, 57Probability and impact matrix, 176Probability distributions, 57, 177Problem solving, 21, 29, 168Process analysis, 176Process-based approach, 171Process-based complexity, 121Process(es)\nadding, removing and changing, 144conformance and, 71environment and, 53groups of, 170project, 71–72smart and simple, 214tailoring, 137–145\nProcess Groups, negotiation models and, 170Process tailoring, 71, 135Procurement(s)\nbid process, 75contracting, 75–76Planning Performance Domain, 65Project Work Performance Domain, 74–76working with, 74–76\nProcurement audit, 79Procurement management plan, 186Procurement strategy, 46Product(s)\ndefinition, 218development approach and, 39–40digital, 34final, 82global market shifts, 219–221organizational considerations and, 221–225\nPMI Seventh Edition July 2021267\nIndexproject delivery practices and, 221\nsoftware addition to more, 225tailoring for project, 142transition, views and, 217–218unique characteristics of, 224value views and, 217\nProduct backlog, 76, 185Product breakdown structure, 187Product environment, continuous value delivery \nand, 222\nProduct life cycle\ndefinition, 218\nProduct management\ndefinition, 218global business trends and, 219organizational considerations, 221–225views of, 218\nProduct owner, 76Product requirements\nelicitation of, 50make-or-buy analysis and, 176requirements documentation and, 192requirements traceability matrix and, 189\nProduct reviews, 14Product roadmap, 61Product scope, 54Product vision, 61Program management\ncontinuous value delivery and, 222plans and, 186–187structures, utilization of, 223–225\nProgram manager, 14Programs, unique characteristics of, 224\nongoing improvement and, 144\nProject(s)\ndevelopment approach and, 40–41Development Approach and Life Cycle \nPerformance Domain, 40–41\nexperience with type of, 30learning throughout, 77–78performance domains and, 7process-based approach, 171tailoring for, 141–144uniqueness and, 224Project-authorizing documents, 82Project brief, as strategy artifact, 184Project budget component, 62, 63Project calendar, 192Project charter\nclose phase and, 47start up and, 46as strategy artifact, 184\nProject closeout meeting, 180Project communications, engagement and, 73Project communications management plan, \n79, 186\nProject context, tailoring to fit, 146, 154Project deliverables, 54Project delivery practices, 221Project documents, 52Project execution. See Executing Process GroupProject factors, tailoring and, 140Project life cycle\nbusiness value and, 102definition, 33deliverables and, 81developmental approaches and, 32, 35, 148outcomes, checking, 50Process Groups and, 170products extending beyond, 218project phases and, 42tailoring and, 131\nProject management office (PMO), 211–215\nbenefits realization and, 214key capabilities of, 213learning more about, 215value delivery office (VDO), and, 140value proposition for, 211–213\nProject management plan\ndefinition, 186executing process and, 171integrated, large projects and, 67as overarching plan, 186progressive elaboration and, 120\nProject management principles\nperformance domains and, 4tailoring to fit project, 154\nProject management team, 16. See also Project \nteam(s)\nPMI Seventh Edition July 2021268\nPMBOK® GuideProject manager (PM). See also Competencies; \nLeadership skills\nconflict models and, 168, 169\ndefinition, 16location and, 64monitoring new work and, 76, 77project charter and, 184project processes and, 71project team formation and, 17risk responses and, 126sponsor role and, 207tailoring and, 140team culture and, 20–21\nProject performance domains. See also \nPerformance domains\ndefinition, 7delivery, 80–82development approach and life cycle, 32–50measurement, 93–115number of, 7overview, 5, 7planning, 51–68project context and, 146project management and, 5, 146project work, 69–79stakeholder, 8–15tailoring and, 145–150, 154team, 16–31uncertainty, 116–129\nProject phase(s)\ndefinition, 33examples of, 42life", + "chunk_order_index": 117, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-77d4591f212f2f117892d62813852861": { + "tokens": 1200, + "content": "life cycle, 32–50measurement, 93–115number of, 7overview, 5, 7planning, 51–68project context and, 146project management and, 5, 146project work, 69–79stakeholder, 8–15tailoring and, 145–150, 154team, 16–31uncertainty, 116–129\nProject phase(s)\ndefinition, 33examples of, 42life cycle and, 42–45phase-gate review, 42Process Groups and, 170\nProject processes, 71–72Project requirements, 71Project review meeting, 180Project risk, uncertainty and, 119Project schedule, 188Project schedule network diagram, 189Project scope, 54Project size, 132, 139Project sponsor, 123, 125, 207. See also SponsorProject stakeholder(s)\nexamples of, 9internal, 39scope and, 82tailoring and, 152\nProject statement of work. See Statement of workProject success\ncommunication and, 157key performance indicators (KPIs) and, 95sponsors and, 207\nProject team(s). See also Team(s)\ndefinition, 16distributed, 30focus, maintaining, 73high-performing, 22maturity and, 30operations and, 19Planning Performance Domain, 63–64size and location of, 41tailoring and, 142, 147\nProject team charter, 19, 192Project team culture, 20–21Project team development models, 166–167\nDrexler/Sibbet Team Performance Model, 167Tuckman Ladder, 166\nProject team management and leadership, 17–19\ncentralized, 17distributed, 17–18team development, 18–19\nProject vision statement, 184Project Work Performance Domain, 69–79\nchecking results, 79communications and engagement, project, 73competing constraints, balancing, 72definitions relevant to, 70interactions with other performance domains, 78learning throughout project, 77–78monitoring new work and changes, 76–77outcomes, checking, 79outcomes, desired, 69overview, 69–70physical resources, managing, 73–74procurements, working with, 74–76project processes, 71–72project team focus, maintaining, 73tailoring considerations, 149\nPMI Seventh Edition July 2021269\nIndexProject work performance domain, 69–79\nProposals, 70. See also Request for proposal (RFP)\nbid documents and, 192\nProvision and payment, ongoing, 220–221Pull communication, 13Purpose, 159Push communication, 13PV. See Planned value\nQ\nQuality. See also Cost of quality (COQ)\ndefinition, 81Delivery Performance Domain, 87–91\nQuality assurance, 88Quality audits, 88Quality management plan, 186Quality management system, 52, 88Quality planning, 88Quality policy, 87Quality report, 190Quality requirements\nalignment and, 67appraisal costs and, 87cost of quality and, 88processes and, 72\nQuotations, 70, 192\nR\nRACI chart, 189Radiators, information, 108RAG (red-amber-green) charts, 106RAM. See Responsibility assignment matrixRange\ndescription of, 55time and material, 56\nRBS. See Resource breakdown structure; Risk \nbreakdown structure\nRCA. See Root cause analysisRecognition, high-performing project teams \nand, 22\nReframing, 121Regression analysis, 105, 176Regulations, 40Regulatory restrictions, 54Relative estimating, 178Release and iteration plan, 61Release plan, 61, 186Release planning meetings, 180Repairs, 89Report(s), 190. See also\n Quality report; Risk report\nReputation, 89Request for information (RFI), 75, 192Request for proposal (RFP), 75, 192Request for quotation (RFQ), 75, 192Requirement(s). See also Quality requirements\ndefinition, 81deliverables and, 82–83elicitation of, 111evolving and discovering, 83funding, 46high-level, 39management of, 83organizational, 54product, 50, 176, 189, 192project, 171safety, 40stakeholder, 54, 72well-documented, 83\nRequirement elicitation, 83Requirements certainty, 39Requirements documentation, 192. See also \nContract(s)\nRequirements elicitation, 83Requirements management, 83Requirements management plan, 186Requirements traceability matrix, 189Reserve, 122. See also Management reserveReserve analysis, 177. See also Contingency \nreserve\nResidual risk, 125Resilience\nbuilding in, 119high-performing project teams and, 22\nResource(s). See also Physical resources\nmeasurement of, 101sponsors and, 209\nResolution of conflicts, 29Resource breakdown structure, (RBS), 187\nPMI Seventh Edition July 2021270\nPMBOK® GuideResource management plan, 186\nResource requirements, 46Respect, 21Responsibility assignment matrix (RAM), 189Result(s). See also Checking outcomes; \nDeliverable(s)\ndevelopment approach and, 39–40internal failure and, 89\nRetrospectives, 127, 180. See also Lessons learned\nproject processes and, 71tail", + "chunk_order_index": 118, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-c4f387784faaf5cb2f8232016e703fda": { + "tokens": 1200, + "content": "breakdown structure, (RBS), 187\nPMI Seventh Edition July 2021270\nPMBOK® GuideResource management plan, 186\nResource requirements, 46Respect, 21Responsibility assignment matrix (RAM), 189Result(s). See also Checking outcomes; \nDeliverable(s)\ndevelopment approach and, 39–40internal failure and, 89\nRetrospectives, 127, 180. See also Lessons learned\nproject processes and, 71tailoring and, 151\nReturn on investment (ROI), 102, 175Returns, 89Reviews\ndesign, 127performance, 68phase gate, 42, 46, 47product, 14project, 180risk, 127tailoring and, 151\nRewards, 24, 158, 159Rework, 89RFI. See Request for informationRFP. See Request for proposalRFQ. See Request for quotationRisk(s), 122–127. \ndefinition, 117identification of, 122, 127levels of, 127, 128negative (threats), 121, 122opportunities, 122, 125overall project, 122products and, 40reduction of, over time, 124reserves for, 127residual, 125secondary, 125threats, 123–124uncertainty and, 119, 122Uncertainty Performance Domain, 122–127\nRisk-adjusted backlog, 185Risk-adjusted ROI curve, 126Risk appetite\nresponse planning and, 125risk thresholds and, 122uncertainty and, 150\nRisk breakdown structure (RBS), 187Risk exposure, 109, 122. See also Risk report\nRisk impact. See Probability and impact matrixRisk log, 108Risk management\nrisk register and, 185uncertainty and, 150\nRisk management plan, 186Risk register, 185Risk report, 190Risk review, 127, 180Roadmap, 184 ROI curve, risk-adjusted, 126Rolling wave planning, 49Roman voting, 28Root cause, 24, 96, 177, 188Root cause analysis, 177\nS\nSafety requirements, 40Salience Model, 171Scatter diagrams, 189Schedule(s), 58–62. See also Project schedule; \nSchedule model\nadaptive schedule planning, 61, 62fast tracking, 59, 60master project, 74Planning Performance Domain, 58–62predictive approaches, 58release and iteration plan, 61\nSchedule compression techniques, 52, 59Schedule constraints, 41Schedule management plan, 187Schedule model, 59, 188Schedule performance index (SPI), 100Schedule variance (SV), 100Scheduling\nadaptive methodologies and, 45effort, duration and, 62\nPMI Seventh Edition July 2021271\nIndexScope, 224. See also Product scope; Project scope\ndefinition, 84–85\nScope baseline\ndefinition, 188\npredictive projects and, 77\nScope change, 84Scope creep, 12, 83, 87, 213Scope decomposition, 84Scope definition, 84–85Scope management plan, 187Scope of work, WBS and, 81, 84Scope stability, 40Scope validation, 131Scrap, 89Scrum, daily, 179S-curve, 189Secondary risks, 125Self-awareness, 26, 27Self-management, 26, 27Sensitivity analysis, 177Servant leaders, 18Service(s)\ndevelopment approach and, 39–40global market shifts, 219–221\nService level agreement (SLA), 191Set-based design, 119Shared ownership, 22Shared understanding, 22Sharing, opportunity and, 125Simulation(s), 121, 177Single-point estimating, 178Situational ambiguity, 120Situational Leadership\n® II, 156\nSituational leadership models, 155–156Skills. See also Interpersonal skills\nleadership, 10, 23–29social, 26, 27soft, 12\nSLA. See Service level agreementSMART criteria, metrics and, 97Smart watch development, 86SMEs. See Subject matter expertsSocial awareness, 26, 27Social impact, 53Social skill, 26, 27Soft skills, 12Software\naddition to more products, 225development projects, 85enhanced value, 220\nSOW. See Statement of work\nSpend rates, planned and actual, 113SPI. See Schedule performance indexSponsor, 207–210. See also Project sponsor\nbehaviors, 209lack of engagement and, 208role of, 207–208\nSponsoring organization, 87, 116Sprint, 45. See also Iteration\nSprint planning meeting, 179SS. See Start-to-start relationshipStacey matrix, 165Stage gate, 14, 42Stakeholder(s). See also Project stakeholder(s)\ndefinition, 8examples of project, 9internal, 39key, 11, 23, 44, 167, 179Salience Model and, 171\nStakeholder analysis, 8, 177Stakeholder engagement\ncommunication methods and, 13engage, 12–14identify, 11monitor, 14navigating effective, 10prioritize, 12project performance domain and, 10–14Stakeholder Performance Domain, 10–14steps in, 10, 11understand and analyze, 11–12\nStakeholder engagement assessment matrix,", + "chunk_order_index": 119, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-69d45216cadc0c2225d65e1293522ca4": { + "tokens": 1200, + "content": ", 179Salience Model and, 171\nStakeholder analysis, 8, 177Stakeholder engagement\ncommunication methods and, 13engage, 12–14identify, 11monitor, 14navigating effective, 10prioritize, 12project performance domain and, 10–14Stakeholder Performance Domain, 10–14steps in, 10, 11understand and analyze, 11–12\nStakeholder engagement assessment matrix, \n189, 190\nStakeholder engagement plan, 187Stakeholder expectations, 28, 51, 68, 132Stakeholder identification, 10, 11, 63, 64, 171\nPMI Seventh Edition July 2021272\nPMBOK® GuideStakeholder Performance Domain, 8–15\nchecking results, 15\ndefinitions relevant to, 8interactions with other domains, 14outcomes, desired, 8overview, 8–10project stakeholders, examples of, 9stakeholder engagement, 10–14tailoring considerations, 147\nStakeholder register, 185Stakeholder requirements, 54, 72Stakeholder satisfaction\nmeasurement of, 103–104mood chart, 103\nStandup meetings, 127, 179Start date, 100Start-to-start relationship, 59Start up, 46Start-ups, 221Statement of work (SOW), 74, 87, 191Status meeting, 180Status quo, 163Status report, 190Steering committee, 180Stoplight charts, 106Story map, 190Story point estimating, 178Story points, 58, 119, 121. See also User stories\nStrategy artifacts, 184Strengths, weaknesses, opportunities, and \nthreats. See SWOT analysis\nSubject matter experts (SMEs), 6, 176. See also \nExpert judgment\nSuccess, 224. See also Project success\ncelebrating, 21\nSuccessor, 59Suitability filter, 138Supplier rating, 88Support, project manager and, 21Surveys, 103, 104Sustainability, 53SV. See Schedule varianceSWOT analysis, 177Systems-based complexity, 120–121T\nT&M. See Time and materialsTacit knowledge, 70, 77–78Tailoring\nalternative to, 132benefits, direct and indirect, 133common situations and suggestions, 151competing demands and, 132definition, 6, 131diagnostics, 151leadership styles, 30life cycle and development approach \nselection, 150organization and, 139–140overview, 131–132performance domains and, 145–150process, 71, 137–145process tailoring, 135for the project, 141–144project artifacts, 136project context and, 146, 154project factors and, 140reasons for, 133sponsors and, 209steps involved in, 145, 152summary, 152tool selection, 136what to tailor, 134–136\nTailoring for project, 141–145\nattributes and, 141culture and, 143ongoing improvement, 144product/deliverable, 142project team, 142\nTailoring performance domains, 145–150\ndelivery, 149development approach and life cycle, 148diagnostics, 151measurement, 150planning, 148project context and, 146project team, 147project work, 149stakeholders, 147uncertainty, 150\nPMI Seventh Edition July 2021273\nIndexTailoring process, 137–145\ninitial development approach, selecting, 138\nsteps in, details of, 137tailoring for the organization, 139–140tailoring for the project, 141–144\nTalent, 214Task boards, 109, 110Team(s). See also Project management team; \nProject team(s)\ncolocation of, 135, 142, 147high-performing project, 22stable, 222–223, 225\nTeam charter, project, 19, 192Team development, common aspects of, 18–19Team management, 17–19Team Performance Domain, 16–31\nchecking results, 31definitions relevant to, 16high-performing project teams, 22interactions with other domains, 31leadership skills, 23–29outcomes, desired, 16overview, 16project team culture, 20–21project team management and leadership, 17–19tailoring leadership styles, 30\nTechnical performance measures, 85Technology. See also Software\nautomation, 34deliverables and, 142distributed project teams and, 30Email, 13platform, in industry, 224trends, 85\nTemplates, 35, 132, 136, 153, 184Test phase, 47Test plan, 187Theory of needs, 159Theory X, Theory Y, and Theory Z, 160Thinking, critical, 24Threat(s)\ndefinition, 123strategies for, 123threat profile, 124Threshold\nbudget, 113–114tolerance, 96\nThroughput analysis, 105Throughput chart, 190Time and materials (T&M), 191Timeboxes, 62, 181Time fragmentation, 18To-complete performance index (TCPI), 105Tools. See also Software\nmethods and artifacts, 136suitability filter, 138tailoring and, 136\nTraceability matrices, 83Training, 88Transforming idea, 163Transition Model,", + "chunk_order_index": 120, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-345bd574252e2b6a3927314f8a7b7ebd": { + "tokens": 1200, + "content": "113–114tolerance, 96\nThroughput analysis, 105Throughput chart, 190Time and materials (T&M), 191Timeboxes, 62, 181Time fragmentation, 18To-complete performance index (TCPI), 105Tools. See also Software\nmethods and artifacts, 136suitability filter, 138tailoring and, 136\nTraceability matrices, 83Training, 88Transforming idea, 163Transition Model, 164Transparency, 20Trend(s)\nglobal business, 219–221leading indicators and, 96technology, 85\nTrend analysis, 177Triple bottom line, 53Troubleshooting performance, 113–114Trust\nculture and, 143high-performing project teams and, 22win-win perspective and, 170\nTuckman Ladder, 166Turnover, 104\nU\nUnblock, sponsor and, 209Uncertainty\nadjusting estimates for, 58definition, 117general, 119\nUncertainty Performance Domain, 116–129\nambiguity, 120complexity, 120–121definitions relevant to, 117interactions with other performance \ndomains, 128\nPMI Seventh Edition July 2021274\nPMBOK® Guideoutcomes, checking, 129\noutcomes, desired, 116overview, 116–118risk, 122–127tailoring considerations, 150uncertainty, general, 119volatility, 122\nUnderstand and analyze, stakeholders and, \n11–12\nUnderstanding, shared, 22Update(s)\nartifacts and, 171generic, 183\nUse case, 190User stories\ncustomer value and, 84decomposition and, 54definition, 192iteration plan and, 61story point estimating and, 178\nV\nVAC. See Variance at completionValue. See also Business value\ndelivery of, 81–82software-enhanced, 220\nValue analysis. See Earned value analysis (EVA)Value delivery\ncontinuous, 222Delivery Performance Domain, 81–82\nValue delivery office (VDO), 140, 141, 212Value stream map, 190Value stream mapping, 177Vanity metric, 112Variance(s), 68, 72, 94, 96, 101, 115, 188Variance analysis, 177Variance at completion (VAC), 105Variations, 121, 123, 177Velocity chart, 190Vendor conferences. See Bidder conferencesVerification, 88Virginia Satir Change Model, 163Vision\ndefining and sharing, 11establishing and maintaining, 23objectives and, 18sponsors and, 208\nVisual controls, 109–111. See also Chart(s)\nkanban boards, 110task boards, 110\nVisual data and information, 188–190Volatility, 117\nUncertainty Performance Domain, 122\nVoting, 28\nW\nWarranty claims, 89Waste, 89Waterfall approach, 15, 49WBS. See Work breakdown structure (WBS)\nWBS dictionary, 85, 188What-if scenario analysis, 177Wideband Delphi, 28, 178Win-win perspective, 169, 170Work\nnew work effort, 58non-value-added, 72\nWork breakdown structure (WBS)\ndecomposition and, 54, 84definition, 81, 187\nWork packages, 85, 189Work performance. See Project Work \nPerformance Domain\nWritten communication, 72. See also Email\nPMI Seventh Edition July 2021AND The St/a.alt2nd/a.alt2rd \nfor Project M/a.alt2n/a.alt2gementSeventh Edition\nA /G.alt1/u.alt1ide to the Project \nM/a.alt2n/a.alt2gement Bod/y.alt1 of /K.alt1nowledge\nPMBO/K.alt1®/G.alt1UIDE\nANSI/PMI 99/hyphen.case001/hyphen.case2021GLOBAL STANDARDPMBOK® Guide – Seventh Edition \nAND The Standard for Project Management\nOver the past few years, emerging technology, new approaches, and rapid market changes \ndisrupted our ways of working, driving the project management profession to evolve. Each industry, organization and project face unique challenges, and team members must adapt their approaches to successfully manage projects and deliver results.\nWith this in mind, A Guide to the Project Management Body of Knowledge (PMBOK\n® Guide) – \nSeventh Edition takes a deeper look into the fundamental concepts and constructs of the \nprofession. \nIncluding both The Standard for Project Management and the PMBOK® Guide , this edition \npresents 12 principles of project management and eight project performance domains \nthat are critical for effectively delivering project outcomes. \nThis edition of the PMBOK® Guide :\n•Reflects the full range of development approaches (predictive, traditional, adaptive,\nagile, hybrid, etc.);\n• Devotes an entire section to tailoring development approaches and processes;\n• Expands the list of tools and techniques in a new section, “Models, Methods, and\nArtifacts”;\n• Focuses on project outcomes, in addition to deliverables; and\n• Integrates with PMIstandards +™, giving users access to content that helps them apply\nthe PMBOK® Guide on the job.\nThe result is a modern guide that better enables project team members to be proactive, innovative, and nimble in delivering project outcomes.A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition \nand The Standard for Project Management\nProject Management Institute \nGlobal Headquarters \n14 Campus", + "chunk_order_index": 121, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + }, + "chunk-101e225d96fe8d818009f456e196e8dc": { + "tokens": 196, + "content": ", in addition to deliverables; and\n• Integrates with PMIstandards +™, giving users access to content that helps them apply\nthe PMBOK® Guide on the job.\nThe result is a modern guide that better enables project team members to be proactive, innovative, and nimble in delivering project outcomes.A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition \nand The Standard for Project Management\nProject Management Institute \nGlobal Headquarters \n14 Campus Boulevard \nNewtown Square, PA 19073 USA \nTel: +1 610 356 4600 \nPMI.org\nPMBOK_Guide_7thED_cover_spread.indd 1PMBOK_Guide_7thED_cover_spread.indd 1 5/3/21 4:57 PM5/3/21 4:57 PMPMI Seventh Edition July 2021", + "chunk_order_index": 122, + "full_doc_id": "doc-09d2082516a44514c47c9a1e689c9bec" + } +} \ No newline at end of file diff --git a/local_neo4jWorkDir/lightrag.log b/local_neo4jWorkDir/lightrag.log new file mode 100644 index 00000000..76b0852d --- /dev/null +++ b/local_neo4jWorkDir/lightrag.log @@ -0,0 +1,23 @@ +2024-11-12 23:42:06,424 - lightrag - INFO - Logger initialized for working directory: ./local_neo4jWorkDir +2024-11-12 23:42:06,426 - lightrag - INFO - Load KV llm_response_cache with 0 data +2024-11-12 23:42:06,427 - lightrag - INFO - Load KV full_docs with 0 data +2024-11-12 23:42:06,428 - lightrag - INFO - Load KV text_chunks with 0 data +2024-11-12 23:42:06,442 - lightrag - 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"} \ No newline at end of file diff --git a/reproduce/Step_0.py b/reproduce/Step_0.py deleted file mode 100644 index 2d97bd14..00000000 --- a/reproduce/Step_0.py +++ /dev/null @@ -1,69 +0,0 @@ -import os -import json -import glob -import argparse - - -def extract_unique_contexts(input_directory, output_directory): - os.makedirs(output_directory, exist_ok=True) - - jsonl_files = glob.glob(os.path.join(input_directory, "*.jsonl")) - print(f"Found {len(jsonl_files)} JSONL files.") - - for file_path in jsonl_files: - filename = os.path.basename(file_path) - name, ext = os.path.splitext(filename) - output_filename = f"{name}_unique_contexts.json" - output_path = os.path.join(output_directory, output_filename) - - unique_contexts_dict = {} - - print(f"Processing file: {filename}") - - try: - with open(file_path, "r", encoding="utf-8") as infile: - for line_number, line in enumerate(infile, start=1): - line = line.strip() - if not line: - continue - try: - json_obj = json.loads(line) - context = json_obj.get("context") - if context and context not in unique_contexts_dict: - unique_contexts_dict[context] = None - except json.JSONDecodeError as e: - print( - f"JSON decoding error in file {filename} at line {line_number}: {e}" - ) - except FileNotFoundError: - print(f"File not found: {filename}") - continue - except Exception as e: - print(f"An error occurred while processing file {filename}: {e}") - continue - - unique_contexts_list = list(unique_contexts_dict.keys()) - print( - f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}." - ) - - try: - with open(output_path, "w", encoding="utf-8") as outfile: - json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) - print(f"Unique `context` entries have been saved to: {output_filename}") - except Exception as e: - print(f"An error occurred while saving to the file {output_filename}: {e}") - - print("All files have been processed.") - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument("-i", "--input_dir", type=str, default="../datasets") - parser.add_argument( - "-o", "--output_dir", type=str, default="../datasets/unique_contexts" - ) - - args = parser.parse_args() - - extract_unique_contexts(args.input_dir, args.output_dir) diff --git a/reproduce/Step_1.py b/reproduce/Step_1.py deleted file mode 100644 index 43c44056..00000000 --- a/reproduce/Step_1.py +++ /dev/null @@ -1,34 +0,0 @@ -import os -import json -import time - -from lightrag import LightRAG - - -def insert_text(rag, file_path): - with open(file_path, mode="r") as f: - unique_contexts = json.load(f) - - retries = 0 - max_retries = 3 - while retries < max_retries: - try: - rag.insert(unique_contexts) - break - except Exception as e: - retries += 1 - print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") - time.sleep(10) - if retries == max_retries: - print("Insertion failed after exceeding the maximum number of retries") - - -cls = "agriculture" -WORKING_DIR = "../{cls}" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG(working_dir=WORKING_DIR) - -insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") diff --git a/reproduce/Step_1_openai_compatible.py b/reproduce/Step_1_openai_compatible.py deleted file mode 100644 index 8e67cfb8..00000000 --- a/reproduce/Step_1_openai_compatible.py +++ /dev/null @@ -1,71 +0,0 @@ -import os -import json -import time -import numpy as np - -from lightrag import LightRAG -from lightrag.utils import EmbeddingFunc -from lightrag.llm import openai_complete_if_cache, openai_embedding - - -## For Upstage API -# please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "solar-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model="solar-embedding-1-large-query", - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - ) - - -## /For Upstage API - - -def insert_text(rag, file_path): - with open(file_path, mode="r") as f: - unique_contexts = json.load(f) - - retries = 0 - max_retries = 3 - while retries < max_retries: - try: - rag.insert(unique_contexts) - break - except Exception as e: - retries += 1 - print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") - time.sleep(10) - if retries == max_retries: - print("Insertion failed after exceeding the maximum number of retries") - - -cls = "mix" -WORKING_DIR = f"../{cls}" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, max_token_size=8192, func=embedding_func - ), -) - -insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") diff --git a/reproduce/Step_2.py b/reproduce/Step_2.py deleted file mode 100644 index 557c7714..00000000 --- a/reproduce/Step_2.py +++ /dev/null @@ -1,78 +0,0 @@ -import json -from openai import OpenAI -from transformers import GPT2Tokenizer - - -def openai_complete_if_cache( - model="gpt-4o", prompt=None, system_prompt=None, history_messages=[], **kwargs -) -> str: - openai_client = OpenAI() - - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - - response = openai_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - return response.choices[0].message.content - - -tokenizer = GPT2Tokenizer.from_pretrained("gpt2") - - -def get_summary(context, tot_tokens=2000): - tokens = tokenizer.tokenize(context) - half_tokens = tot_tokens // 2 - - start_tokens = tokens[1000 : 1000 + half_tokens] - end_tokens = tokens[-(1000 + half_tokens) : 1000] - - summary_tokens = start_tokens + end_tokens - summary = tokenizer.convert_tokens_to_string(summary_tokens) - - return summary - - -clses = ["agriculture"] -for cls in clses: - with open(f"../datasets/unique_contexts/{cls}_unique_contexts.json", mode="r") as f: - unique_contexts = json.load(f) - - summaries = [get_summary(context) for context in unique_contexts] - - total_description = "\n\n".join(summaries) - - prompt = f""" - Given the following description of a dataset: - - {total_description} - - Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. - - Output the results in the following structure: - - User 1: [user description] - - Task 1: [task description] - - Question 1: - - Question 2: - - Question 3: - - Question 4: - - Question 5: - - Task 2: [task description] - ... - - Task 5: [task description] - - User 2: [user description] - ... - - User 5: [user description] - ... - """ - - result = openai_complete_if_cache(model="gpt-4o", prompt=prompt) - - file_path = f"../datasets/questions/{cls}_questions.txt" - with open(file_path, "w") as file: - file.write(result) - - print(f"{cls}_questions written to {file_path}") diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py deleted file mode 100644 index 2c5d699c..00000000 --- a/reproduce/Step_3.py +++ /dev/null @@ -1,75 +0,0 @@ -import re -import json -import asyncio -from lightrag import LightRAG, QueryParam -from tqdm import tqdm - - -def extract_queries(file_path): - with open(file_path, "r") as f: - data = f.read() - - data = data.replace("**", "") - - queries = re.findall(r"- Question \d+: (.+)", data) - - return queries - - -async def process_query(query_text, rag_instance, query_param): - try: - result = await rag_instance.aquery(query_text, param=query_param) - return {"query": query_text, "result": result}, None - except Exception as e: - return None, {"query": query_text, "error": str(e)} - - -def always_get_an_event_loop() -> asyncio.AbstractEventLoop: - try: - loop = asyncio.get_event_loop() - except RuntimeError: - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - return loop - - -def run_queries_and_save_to_json( - queries, rag_instance, query_param, output_file, error_file -): - loop = always_get_an_event_loop() - - with open(output_file, "a", encoding="utf-8") as result_file, open( - error_file, "a", encoding="utf-8" - ) as err_file: - result_file.write("[\n") - first_entry = True - - for query_text in tqdm(queries, desc="Processing queries", unit="query"): - result, error = loop.run_until_complete( - process_query(query_text, rag_instance, query_param) - ) - - if result: - if not first_entry: - result_file.write(",\n") - json.dump(result, result_file, ensure_ascii=False, indent=4) - first_entry = False - elif error: - json.dump(error, err_file, ensure_ascii=False, indent=4) - err_file.write("\n") - - result_file.write("\n]") - - -if __name__ == "__main__": - cls = "agriculture" - mode = "hybrid" - WORKING_DIR = f"../{cls}" - - rag = LightRAG(working_dir=WORKING_DIR) - query_param = QueryParam(mode=mode) - - queries = extract_queries(f"../datasets/questions/{cls}_questions.txt") - run_queries_and_save_to_json( - queries, rag, query_param, f"{cls}_result.json", f"{cls}_errors.json" - ) diff --git a/reproduce/Step_3_openai_compatible.py b/reproduce/Step_3_openai_compatible.py deleted file mode 100644 index 5e2ef778..00000000 --- a/reproduce/Step_3_openai_compatible.py +++ /dev/null @@ -1,115 +0,0 @@ -import os -import re -import json -import asyncio -from lightrag import LightRAG, QueryParam -from tqdm import tqdm -from lightrag.llm import openai_complete_if_cache, openai_embedding -from lightrag.utils import EmbeddingFunc -import numpy as np - - -## For Upstage API -# please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "solar-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - **kwargs, - ) - - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model="solar-embedding-1-large-query", - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - ) - - -## /For Upstage API - - -def extract_queries(file_path): - with open(file_path, "r") as f: - data = f.read() - - data = data.replace("**", "") - - queries = re.findall(r"- Question \d+: (.+)", data) - - return queries - - -async def process_query(query_text, rag_instance, query_param): - try: - result = await rag_instance.aquery(query_text, param=query_param) - return {"query": query_text, "result": result}, None - except Exception as e: - return None, {"query": query_text, "error": str(e)} - - -def always_get_an_event_loop() -> asyncio.AbstractEventLoop: - try: - loop = asyncio.get_event_loop() - except RuntimeError: - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - return loop - - -def run_queries_and_save_to_json( - queries, rag_instance, query_param, output_file, error_file -): - loop = always_get_an_event_loop() - - with open(output_file, "a", encoding="utf-8") as result_file, open( - error_file, "a", encoding="utf-8" - ) as err_file: - result_file.write("[\n") - first_entry = True - - for query_text in tqdm(queries, desc="Processing queries", unit="query"): - result, error = loop.run_until_complete( - process_query(query_text, rag_instance, query_param) - ) - - if result: - if not first_entry: - result_file.write(",\n") - json.dump(result, result_file, ensure_ascii=False, indent=4) - first_entry = False - elif error: - json.dump(error, err_file, ensure_ascii=False, indent=4) - err_file.write("\n") - - result_file.write("\n]") - - -if __name__ == "__main__": - cls = "mix" - mode = "hybrid" - WORKING_DIR = f"../{cls}" - - rag = LightRAG(working_dir=WORKING_DIR) - rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, max_token_size=8192, func=embedding_func - ), - ) - query_param = QueryParam(mode=mode) - - base_dir = "../datasets/questions" - queries = extract_queries(f"{base_dir}/{cls}_questions.txt") - run_queries_and_save_to_json( - queries, rag, query_param, f"{base_dir}/result.json", f"{base_dir}/errors.json" - ) diff --git a/test.py b/test.py deleted file mode 100644 index 80bcaa6d..00000000 --- a/test.py +++ /dev/null @@ -1,42 +0,0 @@ -import os -from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete -######### -# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() -######### - -WORKING_DIR = "./dickens" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - # llm_model_func=gpt_4o_complete # Optionally, use a stronger model -) - -with open("./dickens/book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) - -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) - -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) - -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) - -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) diff --git a/test_neo4j.py b/test_neo4j.py index 822cd7bc..88a4e3d9 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -1,6 +1,8 @@ import os from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete +from lightrag.llm import hf_model_complete, hf_embedding +from lightrag.utils import EmbeddingFunc +from transformers import AutoModel, AutoTokenizer ######### @@ -10,16 +12,33 @@ ######### WORKING_DIR = "./local_neo4jWorkDir" +system_prompt="What can be logically inferred from the information presented in the text?" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + llm_model_func=hf_model_complete( + system_prompt=system_prompt, + + ), + llm_model_name="meta-llama/Llama-3.1-8B-Instruct", + embedding_func=EmbeddingFunc( + embedding_dim=384, + max_token_size=5000, + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + embed_model=AutoModel.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + ), + ), # Use gpt_4o_mini_complete LLM model kg="Neo4JStorage", log_level="INFO", - # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) with open("./book.txt") as f: