The Feedback Insights dashboard helps analyze user feedback, click behavior, and the quality of result interactions. Use this dashboard to:Documentation Index
Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Measure user satisfaction.
- Analyze click-through behavior.
- Understand the result engagement quality.
- Identify negative feedback trends.
- Navigate to Analytics.
- Under Search AI, select Feedback Insights.

Feedback Overview Metrics
| Metric | Description |
|---|---|
| Feedback | Percentage of searches that received user feedback. |
| CTR (Clicks/Searches) | Click-through rate based on searches performed. Indicates how often users click on search results after performing a search. |
| CTR (Clicks/Impressions) | Click-through rate based on result impressions. Indicates how often users click on results after seeing them. |
| Avg. Click/Search | Average number of clicks generated per search. |
| Citation Click Avg. Retrieval Rank | Average retrieval rank for clicked citations. |
| Citation Click Avg. Citation Position | Average citation position for clicked citations. |
| Search Result Clicks Avg. Retrieval Rank | Average retrieval rank for clicked search results. |
| Search Result Clicks Avg. Retrieval Position | Average position of clicked search results. |
Click Distribution by Rank
This visualization shows how clicks are distributed across retrieval ranks. Use this section to:- Understand which ranked results receive the most engagement
- Evaluate retrieval effectiveness
- Analyze click concentration patterns
- All clicks
- Citation clicks
- Search result clicks
Click Distribution by Position
This visualization shows how clicks are distributed based on result or citation position. Use this section to:- Analyze user interaction patterns
- Understand engagement with displayed citations and results
- Evaluate answer and citation placement effectiveness
Feedback Volume
The Feedback Volume chart displays thumbs-up and thumbs-down activity over time. Use this section to:- Monitor feedback trends
- Identify sudden increases in negative feedback
- Track user satisfaction over time