diff --git a/src/instructlab/sdg/configs/skills/evaluate_freeform_pair.yaml b/src/instructlab/sdg/configs/skills/evaluate_freeform_pair.yaml
index cd2921cb..1dd3e38d 100644
--- a/src/instructlab/sdg/configs/skills/evaluate_freeform_pair.yaml
+++ b/src/instructlab/sdg/configs/skills/evaluate_freeform_pair.yaml
@@ -33,7 +33,7 @@ generation: |
   [End of Question]
 
   [Start of Answer]
-  {answer}
+  {response}
   [End of Answer]
 
   Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the answer on a scale of 1 to 3 as mentioned above. 
diff --git a/src/instructlab/sdg/configs/skills/evaluate_grounded_pair.yaml b/src/instructlab/sdg/configs/skills/evaluate_grounded_pair.yaml
index 45580d3b..15132c88 100644
--- a/src/instructlab/sdg/configs/skills/evaluate_grounded_pair.yaml
+++ b/src/instructlab/sdg/configs/skills/evaluate_grounded_pair.yaml
@@ -43,7 +43,7 @@ generation: |
   [End of Question]
 
   [Start of Answer]
-  {answer}
+  {response}
   [End of Answer]
 
   * Return the evaluation between [Start of Evaluation] and [End of Evaluation] tags.
@@ -51,4 +51,4 @@ generation: |
 
 
 start_tags: ["[Start of Evaluation]", "[Start of Score]"]
-end_tags: ["[End of Evaluation]", "[End of Score]"]
\ No newline at end of file
+end_tags: ["[End of Evaluation]", "[End of Score]"]
diff --git a/src/instructlab/sdg/default_flows.py b/src/instructlab/sdg/default_flows.py
index 31edd3d6..3a44f127 100644
--- a/src/instructlab/sdg/default_flows.py
+++ b/src/instructlab/sdg/default_flows.py
@@ -329,7 +329,7 @@ def get_flow(self) -> list:
                     "client": self.client,
                     "model_id": self.model_id,
                     "model_prompt": _get_model_prompt(self.model_family),
-                    "output_cols": ["answer"],
+                    "output_cols": ["response"],
                     "batch_kwargs": {
                         "num_procs": 8,
                         "batched": self.batched,
@@ -449,7 +449,7 @@ def get_flow(self) -> list:
                     "client": self.client,
                     "model_id": self.model_id,
                     "model_prompt": _get_model_prompt(self.model_family),
-                    "output_cols": ["answer"],
+                    "output_cols": ["response"],
                     "batch_kwargs": {
                         "num_procs": 8,
                         "batched": self.batched,