mohitagw15856
44 lines
1.7 KiB
Markdown
44 lines
1.7 KiB
Markdown
---
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name: product-health-analysis
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description: Interpret product metrics against goals and surface actionable signals
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tool_integration: Google Analytics, Mixpanel
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---
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# Product Health Dashboard Skill
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## Purpose
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Transform raw metrics data into a clear health narrative — what's working, what's not, and what needs immediate attention.
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## Metrics Framework
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Analyse across four layers:
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1. **Acquisition** — new users, source quality, CAC trends
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2. **Activation** — time to first value, onboarding completion rates
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3. **Engagement** — DAU/MAU, feature adoption, session depth
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4. **Retention** — D1/D7/D30 retention, churn rate, resurrection rate
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## Process
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1. For each metric, compare: current period vs. previous period, current vs. target
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2. Flag anything more than 10% off target as requiring investigation
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3. Look for correlations — does a drop in activation explain a retention dip 2 weeks later?
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4. Write a plain-English health summary (no jargon) suitable for sharing with non-data stakeholders
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5. Recommend top 3 areas for immediate investigation with suggested diagnostic steps
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## Output Format
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### Product Health Report — [Period]
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**Overall Health:** 🟢 On Track / 🟡 Watch / 🔴 Action Required
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| Metric | Current | Target | vs. Last Period | Status |
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|--------|---------|--------|-----------------|--------|
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| [metric] | [value] | [target] | [+/-%] | [🟢/🟡/🔴] |
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**Key Observations:**
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[3-5 bullet observations written in plain English]
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**Areas Requiring Investigation:**
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1. [Metric + hypothesis + suggested diagnostic]
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2. [Metric + hypothesis + suggested diagnostic]
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3. [Metric + hypothesis + suggested diagnostic]
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**Recommended Actions:**
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[Specific next steps with owners and timelines]
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