Feedback Collection UX
User feedback is the most valuable signal for improving AI systems — but only if you collect it effectively. Learn to design explicit feedback (thumbs up/down, corrections) and capture implicit signals (copy events, regeneration, abandonment) without annoying users.
Quick Reference
- →Explicit feedback (thumbs up/down) captures intent; implicit feedback (copy, regenerate, abandon) captures behavior
- →Ask for feedback at the moment of value — right after the user gets a response, not minutes later
- →Make feedback zero-friction: one click for 'good', two clicks for 'bad + why'
- →Implicit signals are higher volume but noisier — combine with explicit feedback for the best picture
- →Close the loop: show users their feedback made a difference ('Thanks to your feedback, we improved X')
- →Store feedback with the full context (query, response, model, trace) — feedback without context is useless
Explicit vs Implicit Feedback
Feedback from AI users comes in two forms. Explicit feedback is what users intentionally tell you: thumbs up/down, star ratings, text corrections. Implicit feedback is what users reveal through behavior: copying the response (positive signal), regenerating (negative signal), or abandoning the session (very negative signal). Both are valuable, and the best systems capture both.
| Signal Type | Signal | What It Means | Volume | Accuracy |
|---|---|---|---|---|
| Explicit | Thumbs up | User found the response helpful | Low (5-15% participation) | High |
| Explicit | Thumbs down | User found the response unhelpful | Low | High |
| Explicit | Text correction | User knows the right answer | Very low (1-3%) | Very high |
| Explicit | Category selection (why bad) | Specific failure mode identified | Low | High |
| Implicit | Copy response text | Response was useful enough to use | Medium (20-40%) | Medium |
| Implicit | Regenerate response | First response was unsatisfactory | Medium | Medium-High |
| Implicit | Edit AI response | Partially useful, needs correction | Medium | High |
| Implicit | Session abandonment | User gave up on the AI | High | Low (could be other reasons) |
| Implicit | Follow-up question | First response did not fully answer | High | Medium |
Only 5-15% of users will ever click a feedback button. Do not rely solely on explicit feedback — you are hearing from a biased minority (users who care enough to click). Implicit signals cover the other 85-95% and are essential for understanding the true quality of your AI feature.