Feedback
Automatically surface and quantify actionable UX problems from unstructured feedback data
Product managers, tech leads, and support leaders all know the refrain: “Customers keep saying X is broken—but what’s actually happening?” 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, powered by LogRocket’s Galileo AI, ends the guesswork. It automatically clusters and tags every piece of feedback, tracks sentiment, and flags anomalies—and then pairs each insight with the exact session replays that prove it, short-circuiting endless back-and-forth about “can we reproduce this?”. No extra tabs, exports, or SQL.
Feedback 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 “gut feels.”
- Faster fixes. Engineers jump straight to multiple reproducible sessions instead of endless back-and-forth.
Feedback marries qualitative signals with quantitative proof, turning chatter into actionable insight you can ship on.
Feedback is now in alpha! Go to "Feedback" in the main nav and click "Request Access".
Looking for Surveys? Find Surveys doc here
Updated 18 days ago