How to Identify Feature Requests with ChatGPT
Extract feature requests from reviews with ChatGPT and ToolRouter. Turn user feedback into product decisions.
Tool
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.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the App Review Analysis tool:
- Ask: "Find feature requests in my app reviews" and provide app details
- ChatGPT returns categorized feature requests with frequency data
- Request: "Which of these would have the biggest impact on user satisfaction?"
- Prioritize your roadmap based on the data
Example Prompt
Try this with ChatGPT using the App Review Analysis tool
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