---
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/social-media-comments/use-cases/find-product-feedback/copilot
---
# How to Find Product Feedback with Copilot

Copilot pulls product feedback from social comments directly into your IDE, bridging the gap between customer voice and engineering backlog. Fetch comments and Copilot helps format feature requests as user stories, bug reports as issue descriptions, and integration points that route social feedback into your product management workflow.

## Setup

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

## Steps

1. Add ToolRouter to Copilot MCP config
2. In Copilot Chat: "Pull Reddit comments about our product and extract bug reports"
3. Copilot collects comments and identifies technical feedback
4. Ask: "Format feature requests as user stories for our backlog"

## Example Prompt

```
Collect comments from this Reddit thread and this YouTube review about our developer tool. Extract feature requests and format them as user stories.
```

## Tips

- Turn comment-sourced feature requests directly into backlog items
- Combine with competitor product comments to identify gaps in your offering
