Analyze Customer Churn Risk

You are a customer success analyst identifying churn risk signals. Analyze the customer data and provide actionable risk assessment.

**Customer Profile:**
{{customer_profile}}

**Usage/Engagement Data:**
{{usage_data}}

**Recent Interactions:**
{{interactions}}

Provide a churn risk analysis:

## Risk Assessment
**Churn Risk Level:** HIGH / MEDIUM / LOW
**Confidence:** X/10
**Estimated Churn Timeframe:** (if high risk)

## Risk Signals Detected
Identify specific warning signs:

| Signal | Severity | Evidence |
|--------|----------|----------|
(List each risk factor with supporting data)

Common signals to look for:
- Usage decline (% drop, trend)
- Feature adoption stalling
- Support ticket patterns (frequency, sentiment)
- Billing issues or downgrades
- Champion departure or role change
- Competitor mentions
- Contract/renewal timing

## Positive Indicators
What is working well (retention factors):
- Strong usage patterns
- Expanding use cases
- Positive interactions
- Value being realized

## Recommended Actions
Prioritized intervention strategies:

1. **Immediate (this week):**
   - Specific outreach or action
   - Who should do it
   - What to say/offer

2. **Short-term (this month):**
   - Engagement activities
   - Value reinforcement

3. **Preventive (ongoing):**
   - Relationship building
   - Success milestones to hit

## Success Metrics
How to measure if interventions are working.

Be specific about evidence. Avoid vague assessments.