As VP Customer Success, I need to analyze potential early warning signs for customer churn. Account Data: - Customer: {{customer_name}} - Contract End: {{contract_date}} - Recent Activity: {{activity_data}} - Support History: {{support_summary}} Let me think through this systematically: Step 1 - Engagement Pattern Analysis: - Review login frequency trends over 90 days - Compare feature usage to baseline - Identify any sudden drops or changes - Note stakeholder participation shifts Step 2 - Sentiment Indicator Review: - Analyze support ticket tone and frequency - Review NPS/CSAT score trends - Examine meeting attendance patterns - Check responsiveness to outreach Step 3 - Business Context Assessment: - Research company news and changes - Identify budget cycle timing - Consider competitive landscape shifts - Evaluate internal champion status Step 4 - Risk Scoring: - Weight each indicator appropriately - Calculate composite risk score - Determine intervention urgency Provide the early warning assessment with recommended proactive actions.
Churn Risk Early Warning Analysis
Chain-of-thought framework for identifying early churn indicators before they escalate.
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BusinessUse Cases
early churn detectionrisk indicator analysisproactive intervention planning
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gpt-4oclaude-sonnet-4-20250514
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