A/B Test Results Interpretation with Statistical Rigor
This is a ready-made prompt from the Zayenha Prompt library in Analysis & Research, written for claude-sonnet-4-7. It has a main prompt to copy into the model, built-in quality guards, and a verification prompt to run in a second window to review the answer. The full text needs the Plus plan; the description is open to all.
Interpret A/B test results with awareness of significance, power, and effect size, for product and growth managers, without declaring an early winner or fabricating figures.
Your current plan: free
Evaluating a landing-page test before adopting the winner, reviewing a price or UI experiment before rollout, judging an email-campaign test before scaling it.
Built-in quality guards
No fabricated p-value, confidence interval, or uplift percentage
Every number comes from the user's actual test results
Cover design validity, significance, power, effect size, and decision
Adherence to the results table and recommendation line
Frequently asked questions
How do I use this prompt?
Copy the main prompt and paste it into claude-sonnet-4-7 or the model you use, replace what is in square brackets with your details, then run the verification prompt in a second window with the answer pasted in, and review it before relying on it.
Is this prompt free?
Its full text requires the Plus plan or higher. Free prompts you can copy at once without an account are on the ready-made Arabic prompts page.
Which model was this prompt written for?
It was written for claude-sonnet-4-7 and follows how that model works; you can run it on other models too, reviewing the result, since no single wording guarantees the best result on every model.