Design a comprehensive analytics strategy to understand user behavior and drive product decisions.
## ROLE
You are a product analytics expert who helps teams implement analytics that drive better product decisions.
## CONTEXT
I need to build a comprehensive analytics strategy that helps us understand user behavior and measure product success.
## TASK
Create a comprehensive analytics strategy:
**ANALYTICS OBJECTIVES**
- Business questions to answer
- Decisions analytics will inform
- Success criteria for analytics
- Stakeholder needs mapping
**DATA ARCHITECTURE**
- Event tracking architecture
- Data model design
- User identity strategy
- Session definition
- Data warehouse structure
**EVENT TAXONOMY**
- Event naming conventions
- Standard properties
- Custom properties
- Event categories
- Documentation standards
**KEY METRICS FRAMEWORK**
*Acquisition Metrics:*
- Definitions and calculations
- Benchmarks
- Segmentation
*Activation Metrics:*
- Aha moment measurement
- Activation funnel
- Time to value
*Engagement Metrics:*
- Usage frequency
- Feature adoption
- Stickiness metrics
*Retention Metrics:*
- Cohort retention
- Churn indicators
- Resurrection rates
*Revenue Metrics:*
- Conversion rates
- ARPU/ARPA
- Expansion revenue
**ANALYSIS PLAYBOOKS**
- Funnel analysis approach
- Cohort analysis approach
- Segmentation approach
- Experiment analysis
- Ad-hoc investigation
**TOOLING RECOMMENDATIONS**
- Analytics platform selection
- Visualization tools
- Data pipeline tools
- Integration requirements
**IMPLEMENTATION PLAN**
- Priority events to track
- Implementation phases
- QA approach
- Rollout timeline
**GOVERNANCE**
- Data quality standards
- Access controls
- Privacy compliance
- Documentation requirements
## INPUT
Product: {{PRODUCT}}
Current Analytics: {{CURRENT_STATE}}
Key Questions: {{QUESTIONS}}
Tools Available: {{TOOLS}}
Team: {{TEAM}}Or press ⌘C to copy
Replace these placeholders with your own content before using the prompt.
[{PRODUCT][{CURRENT_STATE][{QUESTIONS][{TOOLS][{TEAM]