---
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/app-review-analysis/use-cases/identify-bug-reports/claude
---
# How to Identify Bug Reports with Claude

Claude transforms raw app review data into strategic intelligence through deep conversational analysis. Ask Claude to cross-reference sentiment patterns with specific app versions, identify emerging user segments from review language, and build a narrative that connects individual complaints to systemic product issues. Its reasoning capabilities let you go beyond surface-level sentiment and uncover the underlying user needs driving each review theme.

## Setup

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

## Steps

1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask Claude: "Extract bug reports from my app reviews using app-review-analysis"
3. Claude identifies and categorizes bugs mentioned in reviews
4. Review the bugs ranked by frequency and user impact
5. Cross-reference with your crash reporting tools and add missing issues to your tracker

## Example Prompt

```
Extract all bug reports from my app reviews. Group them by category (crashes, UI issues, data problems, performance) and rank by how many users report each.
```

## Tips

- Ask Claude to identify device-specific bugs that may only affect certain hardware
- Look for bugs that correlate with 1-star reviews -- fixing those has the biggest rating impact
- Cross-reference with your crash logs to find bugs that only exist in reviews
