Zoom Call Recording → OpenAI Emotion Analysis → Notion Database
Extract emotional insights from customer support calls and build a searchable database of customer sentiment trends to improve service quality.
Workflow Steps
Zoom
Auto-generate call transcripts
Enable automatic transcription for all customer support calls in Zoom. Configure the integration to save transcripts to a designated cloud storage folder (Google Drive or Dropbox) immediately after each call ends.
Make.com
Monitor for new transcripts
Set up a Make.com scenario that monitors your cloud storage folder for new Zoom transcript files. Configure it to trigger whenever a new .txt or .vtt file is added to the folder.
OpenAI
Analyze emotional sentiment
Use OpenAI's GPT-4 API to analyze the transcript for emotional indicators. Create a prompt that identifies customer emotions (frustrated, satisfied, confused, angry), support agent tone, and overall call sentiment on a 1-10 scale.
Notion
Log insights in database
Create a new entry in your Notion customer feedback database with the call date, customer info, emotion scores, key quotes, and recommended follow-up actions. Tag entries by emotion type for easy filtering and trend analysis.
Workflow Flow
Step 1
Zoom
Auto-generate call transcripts
Step 2
Make.com
Monitor for new transcripts
Step 3
OpenAI
Analyze emotional sentiment
Step 4
Notion
Log insights in database
Why This Works
Transforms raw call recordings into actionable emotional intelligence data, helping support teams identify recurring issues and improve customer satisfaction through data-driven insights.
Best For
Support teams need to track customer emotional patterns and identify service improvement opportunities
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