---
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/chatgpt
---
# How to Identify Feature Requests with ChatGPT

ChatGPT makes app review analysis actionable by synthesizing thousands of reviews into clear, structured reports that product teams can immediately use. It excels at producing stakeholder-ready summaries with executive-level insights, detailed sentiment breakdowns, and prioritized recommendation lists. Ask ChatGPT to generate review analysis documents suitable for sprint planning, board presentations, or cross-functional team meetings.

## Setup

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

## Steps

1. Configure ToolRouter in ChatGPT
2. Ask: "Find feature requests in my app reviews" and provide app details
3. ChatGPT returns categorized feature requests with frequency data
4. Request: "Which of these would have the biggest impact on user satisfaction?"
5. Prioritize your roadmap based on the data

## Example Prompt

```
Mine my app reviews for feature requests. Group them by theme and tell me which requests come up most often across both positive and negative reviews.
```

## Tips

- ChatGPT can assess the feasibility and potential impact of each feature request
- Ask for feature requests segmented by user type or use case
- Request analysis of whether competitors already offer the most-requested features
