diff --git a/README.md b/README.md
index da57a7b..5dc8903 100644
--- a/README.md
+++ b/README.md
@@ -38,6 +38,7 @@ Detailed information on the CLI tool sub-commands and arguments can be found in
 - [Tearing down an NLU model](docs/Clean.md)
 - [Analyzing NLU model results](docs/Compare.md)
 - [Generic utterances model](docs/GenericUtterances.md)
+- [Extending the generic utterance model](docs/UtteranceExtensions.md)
 - [LUIS model configuration](docs/LuisModelConfiguration.md)
 - [LUIS endpoint configuration](docs/LuisEndpointConfiguration.md)
 - [Lex bot configuration](docs/LexModelConfiguration.md)
diff --git a/_config.yml b/_config.yml
index 9beea28..07f4685 100644
--- a/_config.yml
+++ b/_config.yml
@@ -7,6 +7,7 @@ relative_links:
 include:
   - README.md
   - docs/GenericUtterances.md
+  - docs/UtteranceExtensions.md
   - docs/Train.md
   - docs/Test.md
   - docs/Clean.md
diff --git a/docs/UtteranceExtensions.md b/docs/UtteranceExtensions.md
new file mode 100644
index 0000000..03721c6
--- /dev/null
+++ b/docs/UtteranceExtensions.md
@@ -0,0 +1,67 @@
+# Extending the generic utterance model
+
+The [generic utterance model](GenericUtterances.md) only covers the text, intent and entities for a given NLU scenario. For some NLU providers, we may want to include additional context, such as a confidence score for the intent prediction or a timestamp for when the request was made. This document covers some of the common extensions to the generic utterance model used across the LUIS, Lex, and Dialogflow NLU providers.
+
+## Returning confidence scores for text, intents, and entities
+
+When an NLU provider in NLU.DevOps returns a prediction result, the value will be serialized as-is, meaning any additional properties included in the result will be serialized as well. Currently, LUIS and Dialogflow return text transcription and intent confidence scores in `textScore` and `score` properties, respectively. E.g.:
+```json
+{
+    "text": "play a rock song",
+    "intent": "PlayMusic",
+    "entities": [
+        {
+            "matchText": "rock",
+            "entityType": "genre",
+            "score": 0.80
+        }
+    ],
+    "score": 0.99,
+    "textScore": 0.95
+}
+```
+In this case, the intent confidence score was `0.99` and the text transcription confidence score was `0.95`. This is useful context when debugging false predictions, as a low confidence score may indicate that the model could be improved with more training examples. The recognized `genre` entity also includes a confidence score of `0.80`, although it should be noted that only the LUIS provider currently returns confidence score for entity types trained from examples.
+
+## Labeled utterance timestamps
+
+When analyzing results for a set of NLU predictions, it is often important context to understand when the test was run. For example, for Dialogflow `date` and `time` entities, the service only returns a date time string, and no indication of what token(s) triggered that entity to be recognized. For example, the result from a query like `"Call a taxi in 15 minutes"` may look like the following:
+```json
+{
+    "text": "call a taxi in 15 minutes",
+    "intent": "ScheduleTaxi",
+    "entities": [
+        {
+            "entityType": "time",
+            "entityValue": "2020-01-01T00:15:00-04:00"
+        }
+    ],
+    "timestamp": "2020-01-01T00:00:00-04:00"
+}
+```
+Without the context provided by the `timestamp` property, we wouldn't be able to make any assertion about the correctness of the `entityValue` property for time. Currently, LUIS, Lex, and Dialogflow return a timestamp for each prediction result.
+
+## Utterance Extension Properties
+
+### `score`
+
+The confidence score for the intent in the NLU prediction.
+
+### `textScore`
+
+The confidence score for the text transcription, in case the test was run from speech.
+
+### `timestamp`
+
+The timestamp for when the NLU prediction was made.
+
+### `utteranceId`
+
+Used for aggregation of [`compare`](Compare.md) command results. 
+
+Each NLU prediction may produce multiple classification results (e.g., true positive intent and true n egative entities). When an `utteranceId` is provided on a given utterance model, it will be included as metadata for each classification result produced when running the [`compare`](Compare.md) command.
+
+## Entity Extension Properties
+
+### `score`
+
+The confidence score for the entity in the NLU prediction.