How to Identify Feature Requests with Copilot
Extract feature requests in your IDE with Copilot and ToolRouter. Review-driven product planning.
Tool
Copilot brings review analysis directly into your development workflow, letting you extract user feedback insights without leaving your editor. Export structured sentiment data and feature request lists as JSON for integration with your existing analytics dashboards and project management tools. Copilot is ideal for building automated review monitoring into your post-release checklist and sprint retrospective process.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
Steps
Once connected (see setup above), use the App Review Analysis tool:
- In Copilot Chat: "Extract feature requests from my app reviews"
- Copilot returns structured feature request data
- Ask: "Create GitHub issues for the top 10 feature requests"
- Integrate review feedback directly into your development workflow
Example Prompt
Try this with Copilot using the App Review Analysis tool
Extract feature requests from my app reviews and format them as potential backlog items with user demand scores.
Tips
- Copilot can help you turn extracted feature requests into actionable tickets
- Export data for integration with your project management tools
- Track which shipped features came from review feedback for ROI measurement