---
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-feature-requests/claude
---
# How to Identify Feature Requests 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 feature requests from my app reviews using app-review-analysis"
3. Claude aggregates reviews and returns a ranked list of feature requests
4. Review the top-requested features by frequency and urgency
5. Add the most requested features to your product roadmap

## Example Prompt

```
Extract all feature requests from my productivity app reviews. Rank them by how many users mention each request and group similar requests together.
```

## Tips

- Ask Claude to separate "must have" requests from "nice to have" based on user language
- Cross-reference feature requests with your existing roadmap to find alignment
- Look for feature requests that correlate with low ratings -- fixing those first improves retention
