Data Analyst
harddata-analyst-ab-test-analysis
How do you analyze A/B test results and avoid common mistakes?
Answer
Use a pre-defined analysis plan.
Check:
- Randomization and sample ratio mismatch
- Primary + guardrail metrics
- Confidence intervals and effect size
- Multiple comparisons and peeking
Report practical impact, not just p-values, and ensure the tracking is correct before trusting results.
Related Topics
ExperimentationStatisticsAnalytics