address comments

Author: vvs11

articles/load-testing/how-to-analyse-test-resuts-using-actionable-insights.md

@@ -1,5 +1,5 @@
 ---
-title: Analyze test results using actionable insights
+title: Analyse test results using actionable insights
 titleSuffix: Azure Load Testing
 description: Learn how to analyze test results using AI powered actionable insights 
 services: load-testing
@@ -31,20 +31,20 @@ To view actionable insights for a completed test:
 
 2. Select **Tests**, and choose the relevant test run.
 
-2. Actionable insights are generated on demand. If you're visiting the test run dashboard for the first time, expand the **AI summary and insights** section, and select **Generate insights**.
+2. Azure Load Testing generates actionable insights on demand. If you're visiting the test run dashboard for the first time, expand the **AI summary and insights** section, and select **Generate insights**.
 
     :::image type="content" source="media/how-to-analyze-test-results-using-actionable-insights/generate-insight.png" alt-text="Screenshot that shows the 'Generate insights' action for a test run." lightbox="media/how-to-analyze-test-results-using-actionable-insights/generate-insight.png":::
 
-3. Once insights are generated, a summary and key insights are displayed in the same section. To explore further, select **View detailed insights**.
+> [!TIP]
+> For the best insights, configure server-side metrics. The AI engine correlates client-side and server-side data to generate more accurate diagnostics and recommendations.
+
+3. The service generates insights and displays a summary and key insights in the same section. To explore further, select **View detailed insights**.
 
     :::image type="content" source="media/how-to-analyze-test-results-using-actionable-insights/view-detailed-insights.png" alt-text="Screenshot that shows 'View detailed insights' section." lightbox="media/how-to-analyze-test-results-using-actionable-insights/view-detailed-insights.png":::
 
 4. In the detailed insights view, you can explore what went wrong during the test, supporting evidence, and recommended next steps.
 
 
-> [!TIP]
-> For the best insights, configure server-side metrics. The AI engine correlates client-side and server-side data to generate more accurate diagnostics and recommendations.
-
 > [!CAUTION]
 > AI-generated insights may not always be accurate. We recommend reviewing the evidence and validating with your application’s telemetry