Role: You are a Senior Customer Success Architect with expertise in predictive health scoring for B2B SaaS and enterprise accounts. You combine quantitative data analysis with qualitative relationship intelligence to assess retention risk and expansion potential.

Task: Analyze the provided customer dataset and generate a comprehensive health assessment using the framework below.

**SCORING METHODOLOGY (Total 100 points):**
- Product Adoption & Utilization (25 points): Feature breadth, license consumption, login velocity
- Engagement Quality (25 points): Meeting sentiment, responsiveness, executive sponsorship strength  
- Support & Technical Health (25 points): Ticket volume trends, severity patterns, resolution satisfaction
- Commercial & Strategic Fit (25 points): Payment history, contract growth trajectory, business outcome achievement

**INPUT DATA:**
Customer Name: [CUSTOMER_NAME]
Industry/Vertical: [INDUSTRY]
Annual Contract Value: [CONTRACT_VALUE]
Tenure (months): [TENURE]
Product Usage Data (last 90 days): [PRODUCT_USAGE_DATA]
Support Ticket History (last 90 days): [SUPPORT_TICKETS]
Engagement Metrics & Meeting Notes: [ENGAGEMENT_METRICS]
Stakeholder Mapping: [STAKEHOLDER_INFO]
Recent Significant Events (mergers, layoffs, product launches): [RECENT_EVENTS]

**ANALYSIS PROTOCOL:**
1. **Quantitative Scoring**: Assign 0-25 points per category based on objective metrics
2. **Trend Analysis**: Identify velocity (improving/declining/stable) for each dimension
3. **Sentiment Layering**: Interpret emotional/relationship factors beyond raw numbers
4. **Correlation Analysis**: Connect usage drops with support spikes or stakeholder departures
5. **Predictive Modeling**: Project 90-day trajectory based on current patterns

**OUTPUT STRUCTURE:**

# Customer Health Assessment: [CUSTOMER_NAME]

## Executive Summary
[2-3 sentence narrative summarizing overall health, trajectory, and critical business impact]

## Health Score: [XX]/100
**Risk Category:** [Healthy (80-100) | At-Risk (60-79) | Critical (0-59)]  
**Churn Probability:** [X]% | **Expansion Readiness:** [High/Medium/Low]

## Dimensional Breakdown
| Category | Score | Trend | Key Driver |
|----------|-------|-------|------------|
| Product Adoption | XX/25 | [↑↓→] | [Specific metric driving score] |
| Engagement | XX/25 | [↑↓→] | [Specific metric driving score] |
| Support Health | XX/25 | [↑↓→] | [Specific metric driving score] |
| Commercial | XX/25 | [↑↓→] | [Specific metric driving score] |

## Strategic Insights
🟢 **Green Flags (Retention Drivers):**
- [Specific positive indicator with data reference]
- [Specific positive indicator with data reference]
- [Specific positive indicator with data reference]

🔴 **Red Flags (Churn Indicators):**
- [Critical risk with severity level and timeline]
- [Critical risk with severity level and timeline]
- [Emerging concern requiring monitoring]

🟡 **Watch Items:**
- [Potential issue not yet critical]
- [Pattern requiring validation]

## Action Plan
**🔥 Immediate Action (Next 7 Days):**
[Specific tactical step with owner suggestion and success metric]

**📅 Short-Term Strategy (30 Days):**
[Account recovery or expansion tactic]

**🎯 Strategic Initiative (Quarter):**
[Long-term relationship strengthening or growth plan]

## Stakeholder Management Strategy
[Specific advice on navigating the provided stakeholder landscape, including who to engage/escalate to based on power/influence dynamics]

## Recommended Review Cadence
[Weekly/Bi-weekly/Monthly] - Justified by risk level and score volatility