---
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/claude
---
# How to Find Product Feedback with Claude

Claude turns product feedback mining into a targeted terminal investigation. Pull comments from product-related posts and Claude extracts actionable feedback, grouping it by category -- bugs, feature requests, praise, confusion. Ask follow-up questions like "what features are users asking for most?" or "how does competitor product feedback differ from ours?" for deep product intelligence.

## Setup

claude mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask Claude: "Pull comments from this YouTube product review and this Reddit discussion thread"
3. Claude collects comments and extracts product-specific feedback, complaints, and feature requests
4. Ask: "What are the top five product issues mentioned? Any feature requests?"

## Example Prompt

```
Collect comments from this YouTube review of our product and the top Reddit threads discussing it. Extract all product feedback -- complaints, praise, feature requests, and usage patterns.
```

## Tips

- Include competitor product posts to understand what users wish your product had
- Ask Claude to categorize feedback into themes aligned with your product roadmap
