Customer Feedback → Keel Analysis → Product Updates
Collect customer feedback from multiple channels, analyze sentiment with AI, and automatically update product roadmaps based on insights.
Workflow Steps
Intercom
Collect customer feedback
Set up Intercom webhooks to send customer messages and support tickets to Keel API. Include conversation context, customer tier, and message sentiment.
Keel
Store and process feedback
Create Feedback model in Keel to store messages with customer metadata. Build functions to aggregate feedback by feature requests and calculate priority scores.
OpenAI
Analyze sentiment and extract insights
Use Keel's job system to send batches of feedback to OpenAI API for sentiment analysis and feature request extraction. Store AI insights back in Keel database.
Linear
Create prioritized feature requests
Configure Keel to automatically create Linear issues when feedback reaches threshold scores. Include customer context and AI-generated summaries in issue descriptions.
Slack
Alert product team
Send weekly Slack summaries of top feature requests with customer impact scores and direct links to Linear issues for immediate action.
Workflow Flow
Step 1
Intercom
Collect customer feedback
Step 2
Keel
Store and process feedback
Step 3
OpenAI
Analyze sentiment and extract insights
Step 4
Linear
Create prioritized feature requests
Step 5
Slack
Alert product team
Why This Works
Keel acts as the central hub that connects customer data with AI analysis and project management, creating a feedback loop from customers to product development
Best For
Product teams that need to systematically prioritize features based on customer feedback
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!