Customer Exit Interview → Churn Analysis → Retention Strategy
Automatically conduct exit interviews with departing customers using AI voice agents, analyze reasons for churn, and generate actionable retention strategies.
Workflow Steps
Eleven Labs
Generate natural voice for exit interviews
Create a natural-sounding AI voice using Eleven Labs that can conduct empathetic exit interviews. Configure the voice with appropriate tone and pacing for sensitive conversations about customer departures.
Make
Trigger interviews when customers cancel
Set up Make to automatically detect cancellation events from your CRM or subscription platform. When triggered, initiate an AI voice call to the departing customer within 24 hours to capture feedback while the experience is fresh.
ChatGPT
Analyze churn patterns and root causes
Feed all exit interview transcripts to ChatGPT to identify common churn reasons, categorize feedback themes, and calculate impact scores for different issues. Generate insights about which problems cause the most valuable customer departures.
Slack
Alert teams with actionable retention insights
Configure automated Slack messages to relevant teams when critical churn patterns emerge. Include specific customer quotes, recommended actions, and priority levels based on the analysis to drive immediate retention improvements.
Workflow Flow
Step 1
Eleven Labs
Generate natural voice for exit interviews
Step 2
Make
Trigger interviews when customers cancel
Step 3
ChatGPT
Analyze churn patterns and root causes
Step 4
Slack
Alert teams with actionable retention insights
Why This Works
AI voice agents remove the awkwardness of human exit interviews, leading to more honest feedback, while automated analysis ensures no insights are lost and teams can act quickly on systemic issues.
Best For
SaaS companies looking to reduce customer churn through systematic exit feedback
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