Feedback Insights
Automatically surface and quantify actionable UX problems from unstructured feedback data
Product managers, tech leads, and support leaders all know the refrain: āCustomers keep saying X is brokenābut whatās actually happening?ā Digging through tickets, surveys, call notes, and app-store reviews is slow and subjective. Patterns surface late, and the narrative is too often driven by the loudest voice or highest-paying customer.
Feedback Insights, powered by LogRocketās Galileo AI, ends the guesswork. It automatically clusters and tags every piece of feedback, tracks sentiment, and flags anomaliesāand then pairs each insight with the exact session replays that prove it, short-circuiting endless back-and-forth about ācan we reproduce this?ā No extra tabs, exports, or SQL.
Feedback Insights closes that last-mile gap by marrying qualitative signals and the quantitative impact with the "why" hidden in LogRocket sessions.
The result:
- Instant clarity. See what the problem is, who it affects, and how often it happens - backed by real user behavior.
- Objective prioritization. Quantitative impact scores replace anecdotal āgut feels.ā
- Faster fixes. Engineers jump straight to multiple reproducible sessions instead of endless back-and-forth.
Feedback Insights marries qualitative signals with quantitative proof, turning chatter into actionable insight you can ship on.
Feedback Insights is in alpha as of Q3 2025 - reach out to [email protected] for access.
Updated 6 months ago
