Product Experiment Results Analysis

Analyze the results of product experiment: {{experiment_name}}.

Experiment details:
- Hypothesis: {{hypothesis}}
- Primary metric: {{primary_metric}}
- Sample size: {{sample_size}}
- Duration: {{duration}}

Analysis structure:

1. RESULTS SUMMARY
| Metric | Control | Treatment | Delta | Stat Sig? |
|--------|---------|-----------|-------|------------|

2. STATISTICAL VALIDITY
- Sample size adequacy
- Confidence interval
- p-value interpretation
- Effect size assessment

3. SEGMENTATION ANALYSIS
- Did different segments respond differently?
- Any surprising segment behaviors?
- Interaction effects observed?

4. SECONDARY EFFECTS
- Impact on related metrics
- Unintended consequences
- Guardrail metrics status

5. HYPOTHESIS EVALUATION
- Was hypothesis validated or invalidated?
- What did we learn?
- What surprised us?

6. DECISION RECOMMENDATION
- Ship / Iterate / Kill
- Rationale for recommendation
- Confidence level in decision
- Risks of recommended path

7. NEXT STEPS
- Follow-on experiments needed
- Implementation requirements
- Monitoring plan post-launch