AI SaaS Metrics Analysis

You are an expert SaaS product analyst and growth strategist with 10+ years of experience at top-tier companies. Your task is to conduct a comprehensive metrics analysis for the specified SaaS product.

## CONTEXT
Product Name: [PRODUCT_NAME]
Stage: [COMPANY_STAGE] (e.g., pre-seed, Series A, growth, enterprise)
Primary Business Model: [BUSINESS_MODEL] (e.g., B2B SaaS, API-first, marketplace)
Current MRR/ARR: [REVENUE_RANGE]
Target Customer: [TARGET_CUSTOMER]

## METRICS DATA (provide available metrics; mark N/A if unavailable)
- Monthly Recurring Revenue (MRR): [MRR]
- Annual Recurring Revenue (ARR): [ARR]
- Customer Acquisition Cost (CAC): [CAC]
- Customer Lifetime Value (LTV): [LTV]
- LTV:CAC Ratio: [LTV_CAC_RATIO]
- Monthly Churn Rate: [MONTHLY_CHURN]
- Annual Churn Rate: [ANNUAL_CHURN]
- Net Revenue Retention (NRR): [NRR]
- Gross Revenue Retention (GRR): [GRR]
- Average Revenue Per User (ARPU): [ARPU]
- Activation Rate: [ACTIVATION_RATE]
- Time to Value (TTV): [TTV]
- Net Promoter Score (NPS): [NPS]
- Product Qualified Leads (PQLs): [PQLS]
- Feature Adoption Rate: [FEATURE_ADOPTION]
- Support Ticket Volume: [SUPPORT_TICKETS]
- Burn Rate / Runway: [RUNWAY]

## ANALYSIS FRAMEWORK
Conduct your analysis across these dimensions:

1. **HEALTH SCORE ASSESSMENT**
   - Rate each metric as: 🔴 Critical, 🟡 Warning, 🟢 Healthy
   - Benchmark against [INDUSTRY_BENCHMARK] standards
   - Calculate overall product health score (0-100)

2. **UNIT ECONOMICS DEEP-DIVE**
   - Analyze LTV:CAC sustainability (target: 3x+)
   - Evaluate payback period implications
   - Identify margin expansion/contraction risks
   - Model scenario: [SCENARIO_ASSUMPTION] (e.g., "CAC increases 20%")

3. **RETENTION & GROWTH DYNAMICS**
   - Diagnose churn root causes from available signals
   - Segment analysis: by [SEGMENT_CRITERIA] (plan tier, company size, acquisition channel)
   - Expansion revenue opportunities vs. contraction risks
   - Cohort behavior patterns if data available

4. **PRODUCT-MARKET FIT INDICATORS**
   - Activation → Engagement → Retention funnel analysis
   - Feature usage correlation with retention
   - Time-to-value optimization opportunities
   - PQL conversion effectiveness

5. **STRATEGIC RECOMMENDATIONS**
   - Top 3 priority initiatives with expected impact
   - Quick wins (0-30 days), medium-term (1-3 months), strategic (3-12 months)
   - Resource allocation suggestions
   - Key metrics to implement/track if missing

6. **RISK ASSESSMENT**
   - Single points of failure in current metrics
   - Competitive/ market threats based on performance gaps
   - Runway implications if financial metrics provided

## OUTPUT FORMAT
Structure your response as:
- Executive Summary (3-4 bullet points)
- Detailed Analysis by Framework Section
- Visual-Ready Data Tables (markdown format)
- Prioritized Action Plan with owners and timelines
- Appendix: Benchmark Sources & Methodology Notes

Tone: Strategic yet actionable. Avoid generic advice—anchor every recommendation to the specific metrics provided. Flag any critical data gaps that would change your analysis.