Customer Feedback → AI Analysis → Support Discussion
Transform customer feedback into actionable insights and automatically start team discussions about improvement opportunities.
Workflow Steps
Typeform
Collect customer feedback
Set up a Typeform to capture customer feedback with fields for satisfaction ratings, specific comments, and feature requests. Include follow-up questions based on initial responses.
ChatGPT API
Analyze feedback sentiment
Process each feedback submission through ChatGPT to extract sentiment scores, categorize issues (bug, feature request, praise), and identify recurring themes or urgent problems.
Airtable
Log insights and trends
Create records in an Airtable base with the original feedback, AI analysis, priority scores, and suggested team discussion topics. Link related feedback to identify patterns.
Microsoft Teams
Trigger team discussion
For high-priority or trending issues, automatically create a Teams discussion thread with the analyzed feedback, suggested improvements, and relevant team members tagged for input.
Workflow Flow
Step 1
Typeform
Collect customer feedback
Step 2
ChatGPT API
Analyze feedback sentiment
Step 3
Airtable
Log insights and trends
Step 4
Microsoft Teams
Trigger team discussion
Why This Works
AI analysis eliminates manual feedback review while automatic discussion creation ensures important issues get team attention quickly, improving response time to customer needs.
Best For
Product teams that need to quickly identify and discuss customer feedback trends
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