---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/social-media-comments/use-cases/find-product-feedback/chatgpt
---
# How to Find Product Feedback with ChatGPT

ChatGPT extracts product feedback from social comments and generates a product insights report organized by theme. It categorizes feedback into bugs, feature requests, and user experience observations, then ranks them by frequency and severity. The output includes a product improvement roadmap suggestion based on what users are actually saying.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Configure ToolRouter in ChatGPT settings
2. Ask: "Pull comments from this Reddit thread about our product and extract feedback"
3. ChatGPT collects comments and categorizes the feedback by type
4. Request: "Rank feedback items by frequency and suggest product improvements"

## Example Prompt

```
Collect comments from this Reddit discussion about our app. Extract all user feedback, categorize it as bugs, feature requests, or praise, and rank by frequency.
```

## Tips

- ChatGPT can suggest concrete product improvements based on the feedback patterns
- Ask for both direct feedback and implied pain points from how users describe their workflows
