Skip to main content AI Squared allows you to capture direct feedback from business users who interact with AI model outputs embedded through Data Apps. This feedback is essential for evaluating model relevance, accuracy, and user confidence—fueling continuous improvement.
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.
Feedback will now appear alongside model outputs when embedded in business apps.
Viewing Collected Feedback Navigate to:
Reports > Data Apps Reports → Select a Data AppThere, 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.
