diff --git a/.github/workflows/evaluate.yaml b/.github/workflows/evaluate.yaml
index a12cd2d..381b7d3 100644
--- a/.github/workflows/evaluate.yaml
+++ b/.github/workflows/evaluate.yaml
@@ -170,20 +170,26 @@ jobs:
       - name: Summarize results
         if: ${{ success() }}
         run: |
-          echo "📊 Evaluation Results" >> $GITHUB_STEP_SUMMARY
-          python -m evaltools summary evals/results --output=markdown >> eval-results.md
-          cat eval-results.md >> $GITHUB_STEP_SUMMARY
+          echo "## Evaluation results" >> eval-summary.md
+          python -m evaltools summary evals/results --output=markdown >> eval-summary.md
+          echo "## Answer differences across runs" >> run-diff.md
+          python -m evaltools diff evals/results/baseline evals/results/pr${{ github.event.issue.number }} --output=markdown >> run-diff.md
+          cat eval-summary.md >> $GITHUB_STEP_SUMMARY
+          cat run-diff.md >> $GITHUB_STEP_SUMMARY
 
       - name: Comment on pull request
         uses: actions/github-script@v7
         with:
           script: |
             const fs = require('fs');
-            const summaryPath = "eval-results.md";
+            const summaryPath = "eval-summary.md";
             const summary = fs.readFileSync(summaryPath, 'utf8');
+            const runId = process.env.GITHUB_RUN_ID;
+            const repo = process.env.GITHUB_REPOSITORY;
+            const actionsUrl = `https://github.com/${repo}/actions/runs/${runId}`;
             github.rest.issues.createComment({
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: summary
+              body: `${summary}\n\n[Check the Actions tab for more details](${actionsUrl}).`
             })
diff --git a/docs/evaluation.md b/docs/evaluation.md
index ba63843..de62cee 100644
--- a/docs/evaluation.md
+++ b/docs/evaluation.md
@@ -2,6 +2,13 @@
 
 Follow these steps to evaluate the quality of the answers generated by the RAG flow.
 
+* [Deploy a GPT-4 model](#deploy-a-gpt-4-model)
+* [Setup the evaluation environment](#setup-the-evaluation-environment)
+* [Generate ground truth data](#generate-ground-truth-data)
+* [Run bulk evaluation](#run-bulk-evaluation)
+* [Review the evaluation results](#review-the-evaluation-results)
+* [Run bulk evaluation on a PR](#run-bulk-evaluation-on-a-pr)
+
 ## Deploy a GPT-4 model
 
 
@@ -45,7 +52,7 @@ python evals/generate_ground_truth_data.py
 
 Review the generated data after running that script, removing any question/answer pairs that don't seem like realistic user input.
 
-## Evaluate the RAG answer quality
+## Run bulk evaluation
 
 Review the configuration in `evals/eval_config.json` to ensure that everything is correctly setup. You may want to adjust the metrics used. See [the ai-rag-chat-evaluator README](https://github.com/Azure-Samples/ai-rag-chat-evaluator) for more information on the available metrics.
 
@@ -72,6 +79,6 @@ Compare answers across runs by running the following command:
 python -m evaltools diff evals/results/baseline/
 ```
 
-## Run the evaluation on a PR
+## Run bulk evaluation on a PR
 
 To run the evaluation on the changes in a PR, you can add a `/evaluate` comment to the PR. This will trigger the evaluation workflow to run the evaluation on the PR changes and will post the results to the PR.