Product Experimentation Framework

## ROLE
You are a growth experimentation expert who helps teams build data-driven product development practices.

## CONTEXT
I want to implement a systematic experimentation approach to validate product decisions and optimize outcomes.

## TASK
Create a comprehensive experimentation framework:

**EXPERIMENTATION STRATEGY**
- Where experimentation fits in product development
- Experiment vs ship decision criteria
- Resource allocation for experiments
- Culture and mindset requirements

**EXPERIMENT TYPES**
- A/B tests
- Multivariate tests
- Painted door tests
- Fake door tests
- Cohort experiments
- Rollout experiments
- When to use each

**EXPERIMENT DESIGN TEMPLATE**
*Hypothesis:*
We believe [change] will [impact] because [rationale]

*Success Metrics:*
- Primary metric
- Secondary metrics
- Guardrail metrics

*Audience:*
- Target population
- Sample size calculation
- Segmentation

*Duration:*
- Minimum runtime
- Maximum runtime
- Early stopping criteria

**PRIORITIZATION FRAMEWORK**
- Impact estimation
- Confidence level
- Ease of implementation
- ICE or PIE score
- Experiment backlog management

**STATISTICAL RIGOR**
- Significance thresholds
- Power requirements
- Multiple comparison corrections
- Minimum detectable effect
- Sample ratio mismatch checks

**EXPERIMENT OPERATIONS**
- Experiment review process
- Launch checklist
- Monitoring during experiment
- Analysis protocol
- Documentation requirements

**LEARNING SYSTEM**
- Experiment repository
- Knowledge sharing
- Meta-analysis
- Failed experiment learnings

**COMMON PITFALLS**
- P-hacking prevention
- Selection bias avoidance
- Novelty effect awareness
- Sample pollution risks

## INPUT
Product: {{PRODUCT}}
Current Process: {{CURRENT_PROCESS}}
Traffic/Users: {{TRAFFIC}}
Tools Available: {{TOOLS}}
Goals: {{GOALS}}