Churn Risk Early Warning Analysis

A

Aisha Bello

@aisha-bello

·

Chain-of-thought framework for identifying early churn indicators before they escalate.

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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.

Details

Category

Business

Use Cases

early churn detectionrisk indicator analysisproactive intervention planning

Works Best With

gpt-4oclaude-sonnet-4-20250514
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