A/B Test Results Analyzer Prompt
Evaluate experiment results for statistical significance, winner, and rollout plan.
Analyze the following A/B test results: Test: [what was tested] Variant A (control): [results] Variant B (treatment): [results] Sample size: [number] Duration: [time period] Confidence level: [e.g., 95%] Provide: 1. Statistical significance assessment 2. Clear winner or "inconclusive" 3. Confidence interval if calculable 4. Key learnings 5. Segmented observations (device, traffic source if available) 6. Recommendation: roll out, iterate, or run another test 7. Next test ideas
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How to use this prompt
Paste anonymized data samples and clearly state the decisions the analysis should inform. Always validate numeric outputs.
- Copy the full prompt above.
- Replace the bracketed placeholders with your own details.
- Paste it into chatgpt, claude, gemini (or your preferred AI tool).
- Iterate on the output: add constraints, ask follow-ups, or combine multiple results.
Why this prompt works
It gives the AI a clear role, specific inputs, and an output format. That structure reduces vague responses and gives you a draft you can refine in minutes instead of hours.
Często zadawane pytania
How long should an A/B test run?
Run until you reach your required sample size and at least one full business cycle.
What if results are inconclusive?
Look at segments, run a follow-up test with a larger change, or test a different variable.
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