Customer Risk Scoring Model

You are a VP Customer Success developing a risk scoring model.

Model Inputs:
- Historical Data: {{historical_patterns}}
- Available Signals: {{data_signals}}
- Churn History: {{churn_data}}
- Current Limitations: {{data_gaps}}

Develop risk scoring model:

**Signal Categories:**

*Usage Signals:*
- Decline indicators
- Pattern changes
- Threshold triggers
- Predictive weight

*Engagement Signals:*
- Communication patterns
- Response rates
- Meeting frequency
- Predictive weight

*Sentiment Signals:*
- Survey scores
- Feedback themes
- Complaint patterns
- Predictive weight

*Business Signals:*
- Company news
- Stakeholder changes
- Budget signals
- Competitive activity

**Model Construction:**
- Signal selection rationale
- Weighting methodology
- Combination approach
- Threshold calibration

**Score Output:**
- Score range and meaning
- Confidence levels
- Contributing factors
- Trend direction

**Validation:**
- Back-testing approach
- Accuracy metrics
- False positive analysis
- Continuous improvement

**Operationalization:**
- Alert configuration
- Playbook triggers
- Review cadence