---
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/extract-improvement-insights/copilot
---
# How to Extract Improvement Insights with Copilot

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.

## Setup

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

## Steps

1. Add ToolRouter to Copilot MCP config
2. In Copilot Chat: "Extract improvement insights from my app reviews"
3. Copilot returns structured product insights
4. Ask: "Create improvement tickets from the top insights"
5. Integrate user feedback directly into your development pipeline

## Example Prompt

```
Analyze my app reviews for product improvement opportunities. Output structured insights I can turn into development tasks.
```

## Tips

- Turn insights into actionable tickets with clear acceptance criteria
- Track which review-driven improvements have the biggest impact on ratings
- Build regular review analysis into your sprint retrospectives
