Crowdsource AI Model Feedback → Aggregate in Airtable → Auto-Report to Slack
Collect distributed feedback on AI model outputs from team members and automatically compile insights into actionable reports for product teams.
Workflow Steps
Typeform
Create feedback collection form
Build a structured form with rating scales, multiple choice questions about model accuracy, and open text fields for detailed feedback. Include fields for model version, use case, and reviewer credentials.
Zapier
Connect form to database
Set up a Zap that automatically sends each Typeform submission to Airtable, parsing responses into structured fields like ratings, comments, model version, and timestamp.
Airtable
Aggregate and analyze responses
Create views that automatically calculate average ratings, flag critical issues, and group feedback by model version. Use formulas to identify patterns and create status indicators.
Slack
Send weekly digest reports
Use Airtable's automation to send weekly summary reports to your product team Slack channel, highlighting top issues, rating trends, and action items based on the aggregated feedback.
Workflow Flow
Step 1
Typeform
Create feedback collection form
Step 2
Zapier
Connect form to database
Step 3
Airtable
Aggregate and analyze responses
Step 4
Slack
Send weekly digest reports
Why This Works
Combines user-friendly data collection with powerful analysis tools and real-time team communication, creating a sustainable feedback loop that scales with your team.
Best For
AI/ML teams needing systematic feedback collection on model performance from distributed team members
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