Sample Size Calculator Brief

Calculate sample size for {{experiment_type}}:

Inputs:
- Baseline metric value: {{baseline}}
- Minimum detectable effect (MDE): {{mde}}%
- Statistical power: 80% (α = 0.05, two-tailed)
- Metric type: {{metric_type}} (binary/continuous)

Outputs:
1. Required sample size per variant
2. Total duration (days) assuming {{daily_traffic}} {{traffic_unit}} per day
3. Sensitivity analysis: how sample size changes with different MDE targets
4. Power curve: probability of detecting effect at different true effect sizes

Interpretation:
- Is the timeline acceptable?
- Should we run test longer to detect smaller effects?
- Any trade-offs between precision and speed?

Format as summary table + recommendation sentence.