LAB 01

TESTINGAI2026.08

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
ENTER EXPERIMENT

LIVE EXPERIMENT

PROTOTYPE HEURISTIC — not a live AI API

Paste 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

HOW IT WORKS

  1. 01COLLECTCollect reviews
  2. 02CLASSIFYClassify sentiment & type
  3. 03DETECTDetect repeated patterns
  4. 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.