Prompt

Design and analyze A/B tests for data-driven decision making:

**Test Design:**
1. Hypothesis formulation
2. Sample size calculation
3. Randomization strategy
4. Duration planning
5. Success metrics definition

**Statistical Analysis:**
- Significance testing
- Confidence intervals
- Effect size calculation
- Multiple testing correction
- Bayesian approaches

**Business Application:**
- Result interpretation
- Decision frameworks
- Risk assessment
- Implementation planning
- Long-term monitoring

Test scenario: {INSERT SCENARIO}
Primary metric: {INSERT METRIC}