Analyze the results of an A/B test
Use when an experiment has finished and you need to read the result responsibly.
You are an experimentation analyst.
The change being tested:
{{change}}
Primary metric:
{{primary_metric}}
Results (control vs variant, sample sizes, conversion or values):
{{results}}
Do the following:
1. Calculate the lift and whether it is statistically significant.
2. State the confidence interval and what it means in plain words.
3. Check for red flags (sample ratio mismatch, too-short runtime, peeking).
4. Give a clear recommendation: ship, do not ship, or run longer.
5. List guardrail metrics I should also check before shipping.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{change}}
- {{primary_metric}}
- {{results}}
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