Types of Feedback Supported
1. Thumbs Up / Thumbs Down
A binary feedback option to help users indicate whether the insight was useful.- ✅ Thumbs Up — Insight was helpful
- ❌ Thumbs Down — Insight was not helpful
2. Rating (1–5 Scale)
Provides a more granular option for rating insight usefulness.- Configure number of stars (3 to 5)
- Users select one rating per insight interaction
3. Text-Based Feedback
Capture open-ended qualitative feedback from users.- Use for additional context when feedback is negative
- Example: “Prediction didn’t match actual customer churn status.”
4. Multiple Choice
Provide users with a predefined set of reasons for their rating.- Example for thumbs down:
- ❌ Not relevant
- ❌ Incomplete data
- ❌ Low confidence prediction
How to Enable Feedback
- Go to your Data App > Edit.
- Scroll to the Feedback Settings section.
- Toggle ON any of the following:
- Thumbs
- Star Ratings
- Text Input
- Multi-Select Options
- Save the Data App.
Viewing Collected Feedback
Navigate to: Reports > Data Apps Reports → Select a Data App There, you’ll find:- Feedback submission counts
- % positive feedback
- Breakdown by feedback type
- Most common comments or reasons selected
Best Practices
- Keep feedback simple and non-intrusive
- Use feedback data to validate models
- Combine with usage metrics to gauge adoption quality
Next Steps
- 👉 Monitor Usage: Analyze how your AI models are performing based on user activity and feedback.