Review Mining Agent
Clusters real App Store reviews into JTBD (Jobs-To-Be-Done) themes (churn, feature gaps, pricing, UX friction, bugs, praise) — no sentiment scores, just the actual reason behind the rating.
About this case study
Problem: manual competitive review analysis doesn't scale — reading hundreds of reviews and grouping them by hand takes hours, and sentiment analysis alone can't tell you whether a low rating means churn risk, a missing feature, a pricing objection, or a plain technical bug. Each of those needs a different fix. Approach: a pipeline resolves a brand name to its App Store listing and collects public reviews — this demo runs it against three preloaded apps — then classifies them (multi-label, not sentiment) against a fixed 6-tag JTBD taxonomy — churn, feature gap, pricing objection, UX friction, technical bug, praise — so the results are comparable across competitors instead of just "more negative" or "less negative." Result: a pilot across YAZIO, MyFitnessPal, and Noom surfaced three genuinely different competitive stories from what looked like the same negative-review noise — MyFitnessPal's pain was reliability, Noom's was billing/support, YAZIO's was missing features and UX friction. This demo runs the same live classification against real, pre-collected reviews — pick an app above and watch it cluster.
Methodology Note
Reviews are real, pre-collected from the public App Store RSS feed — a safe, stable dataset to validate the classification methodology on. The classification and paraphrasing run live against real AI.
Example: MyFitnessPal
MyFitnessPal — 30 reviews analyzed
Top pains
- The app works fine overall, but recent UI changes made it feel clunkier and harder to use, like macro sliders that don't match the displayed percentages.
- The app helped with weight loss, but there are too many inappropriate ads.
- After being a loyal paying user for nearly a decade, the April redesign made the app unusable, prompting a switch to a different app.
- The app repeatedly logs the user out and loses their daily data, forcing multiple reinstalls in a short time.
- Custom goal settings keep resetting or failing to save, with an error claiming the goal matches the default.
- Despite years of use and payment, the app frequently and randomly logs the user out, happening over 20 times in four years.
- A long-time paying user cancelled their subscription due to frequent random logouts over the years.
- Recent UI changes have made the app less intuitive, such as disconnected macro sliders and percentages.
- A new update locked macro ratio customization behind a premium paywall, making the free version pointless and prompting deletion.
Strengths
- This is a favorite health tracker with extensive food and measurement options, though it's missing a magnesium tracking feature that was requested months ago.
- After contacting support about disappearing logged items, a reinstall fixed the issue, raising the rating from 2 to 4 stars, though barcode scanning removal still bothers the user.
- The app is great for weight loss, but it has too many inappropriate ads.
Live access is available on request — I personally review each one.