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
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.
Frequently asked questions
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.