AI Customer Feedback Analysis Tool

Overview

Product and CX teams are drowning in raw, unstructured customer feedback from dozens of channels—App Store reviews, support tickets, surveys, and social media. Manually reading, tagging, and quantifying this data is a slow, biased, and impossible task. As a result, critical bug reports are missed and valuable product insights are lost. This tool solves that problem by acting as an automated feedback analyst. It connects to all your feedback sources, uses an AI model to analyze and tag every comment for sentiment and topic, and then visualizes the results on a clean, interactive dashboard. This allows teams to stop guessing and start making data-driven decisions based on what their customers are actually saying.

Retool Features Used

AI-Powered Tagging: to automatically process raw feedback text using the OpenAI API, tagging each comment with a Sentiment (Positive, Negative) and one or more Topics (e.g., Bug, Pricing).
Two-Tab Interface: to cleanly separate the high-level summary from the raw data, providing an "Analysis & Insights" tab for managers and a "Feedback Inbox" tab for analysts.
AI-Generated Summary: to provide a natural language overview of key trends, insights, and actionable recommendations based on the current data (e.g., "Negative sentiment for 'Login Bug' is up 45%").
Feedback Inbox Table: to display all raw feedback in a filterable table, complete with colored badges for its AI-generated sentiment and topics, allowing for deep-dive analysis.