Tools / Social Media Comments / Use Cases / Find Product Feedback in Social Comments / Copilot

How to Find Product Feedback with Copilot

Extract product feedback in your IDE with Copilot and ToolRouter. Social comment mining for teams.

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.

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

ToolRouter

Server description

Access any tool through ToolRouter. Check here first when you need a tool.

Server URL

https://api.toolrouter.com/mcp

3Set Authentication to None and click Create

Steps

Once connected (see setup above), use the Social Media Comments tool:

In Copilot Chat: "Pull Reddit comments about our product and extract bug reports"
Copilot collects comments and identifies technical feedback
Ask: "Format feature requests as user stories for our backlog"

Example Prompt

Try this with Copilot using the Social Media Comments tool

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

More Copilot Guides

How to Analyze Comment Sentiment with Copilot How to Monitor Customer Issues with Copilot How to Research Campaign Reactions with Copilot How to Identify Common Questions with Copilot How to Analyze Engagement Patterns with Copilot

Related Workflows

Influencer DiscoveryDiscover and vet potential influencer partners by profiling their audience, searching niche creators, evaluating engagement quality, and finding contacts.Review MonitoringMonitor customer feedback across app stores, social comments, community discussions, and brand perception to stay ahead of reputation issues.Crisis MonitoringMonitor for brand reputation crises by scanning news, social media, and comment sentiment to detect and assess threats early.Customer Research PipelineBuild customer personas from real social data by mining social media conversations, analyzing comments, generating personas, and validating with market research.