---
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/track-review-trends/copilot
---
# How to Track Review Trends 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: "Track review trends for my app using app-review-analysis"
3. Copilot returns trend data across time periods
4. Ask: "Export the trend data for our product dashboard"
5. Integrate review trends into your release monitoring

## Example Prompt

```
Analyze review trends across my last 5 releases. Output structured data showing sentiment changes per version.
```

## Tips

- Build review trend monitoring into your post-release checklist
- Copilot can help automate trend analysis after each deployment
- Compare trends across iOS and Android versions of your app
