REVIEW
AI
Find the signals product teams miss
inside hundreds of reviews.
An AI experiment that extracts sentiment, repeated issues, feature requests, positive signals, and product priorities from user reviews.
THE QUESTION
Can reviews alone
drive the next product decision?
- STATUS
- TESTING
- STAGE
- VALIDATION
- CATEGORY
- AI
LIVE EXPERIMENT
PROTOTYPE HEURISTIC — not a live AI APIPaste multiple reviews (one per line). Results use a client-side heuristic — not a live AI API.
DEMO / PROTOTYPE · Review AI service layer ready for API wiring
DEMO DATA
HOW IT WORKS
- 01COLLECTCollect reviews
- 02CLASSIFYClassify sentiment & type
- 03DETECTDetect repeated patterns
- 04PRIORITIZEGenerate product priorities
EXPERIMENT METRICS
—REVIEWS ANALYZED
—SIGNALS FOUND
—REPEATED ISSUES
TESTINGEXPERIMENT STATUS
LAB NOTE
What we found
Even keyword/sentiment heuristics surface repeated complaints and requests quickly. Accuracy needs a real model connection.
Next to verify
Compare heuristic vs model on a real App Store review sample set.