Voice Feedback → Analysis → Action Items → Team Notifications
Collect voice feedback from customers or team members, analyze sentiment and themes, then automatically create prioritized action items and notify relevant team members.
Workflow Steps
Typeform
Collect voice responses
Create a Typeform with voice recording questions. Customers or team members can leave detailed voice feedback directly through the form, with automatic cloud storage of audio files.
AssemblyAI
Transcribe voice feedback
Use AssemblyAI's API to automatically transcribe voice recordings from Typeform submissions. The service provides high-accuracy transcription with speaker detection and timestamp markers.
OpenAI GPT-4
Analyze sentiment and extract themes
Process transcriptions through GPT-4 to identify sentiment (positive/negative/neutral), extract key themes, categorize feedback type (bug report, feature request, complaint), and assess urgency level.
Linear
Create prioritized action items
Automatically create tickets in Linear based on feedback analysis. High-urgency items get priority labels, feature requests go to the product backlog, and bugs are assigned to appropriate team members.
Slack
Notify relevant team members
Send contextual notifications to appropriate Slack channels: urgent issues to #incidents, feature requests to #product, and positive feedback to #wins. Include transcription summary and direct links to Linear tickets.
Workflow Flow
Step 1
Typeform
Collect voice responses
Step 2
AssemblyAI
Transcribe voice feedback
Step 3
OpenAI GPT-4
Analyze sentiment and extract themes
Step 4
Linear
Create prioritized action items
Step 5
Slack
Notify relevant team members
Why This Works
Voice feedback captures nuance that written feedback misses, while AI analysis ensures nothing falls through cracks and appropriate teams are immediately notified with actionable context.
Best For
Scaling voice feedback collection and response across customer support and product teams
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