Analyze Customer Support Calls → Generate Mood Reports → Alert Management
Automatically analyze customer service calls for emotional distress signals, generate comprehensive mood reports, and alert management when intervention may be needed.
Workflow Steps
Rev
Transcribe customer support calls
Set up Rev API integration to automatically transcribe all incoming customer support calls. Configure webhooks to trigger when transcription is complete.
IBM Watson Tone Analyzer
Analyze speech patterns and emotional tone
Feed transcribed text into Watson Tone Analyzer to detect emotional markers like frustration, sadness, or anger. Extract confidence scores and emotional indicators.
Google Sheets
Log mood analysis results
Create a spreadsheet that automatically logs call ID, customer info, emotional tone scores, and timestamps. Set up conditional formatting to highlight concerning patterns.
Zapier
Send alerts for high-risk calls
Configure Zapier to monitor the Google Sheet and automatically send Slack alerts or emails to supervisors when emotional distress scores exceed threshold levels.
Workflow Flow
Step 1
Rev
Transcribe customer support calls
Step 2
IBM Watson Tone Analyzer
Analyze speech patterns and emotional tone
Step 3
Google Sheets
Log mood analysis results
Step 4
Zapier
Send alerts for high-risk calls
Why This Works
Combines speech transcription with AI sentiment analysis to catch emotional cues that human agents might miss during busy periods
Best For
Customer service teams wanting to identify at-risk customers and improve support quality
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