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An A/B test plan should include a clear hypothesis, success metrics, sample size calculation, and timeline.
It also needs variant descriptions, statistical significance thresholds, and a results documentation framework for data-driven decisions.
Plan rigorous A/B tests with clear hypotheses, proper sample sizes, and documented results. Stop guessing and start making data-driven decisions.
Define the what, why, and scope of your A/B test.
TIP: Name your tests clearly. 'Test 47' means nothing. 'Pricing Page — Annual vs Monthly Default' tells the whole story.
A clear hypothesis is the foundation of every successful test.
TIP: A good hypothesis is falsifiable. 'Changing the CTA from blue to green will increase clicks by 15% because green suggests action.'
Define exactly what you are measuring and what counts as a win.
TIP: Choose one primary metric. Multiple primary metrics lead to false positives and conflicting conclusions.
Calculate how many visitors and how long you need for reliable results.
TIP: Never end a test early because you see a winner. Run the full sample size to avoid false positives.
Technical setup to ensure your test runs correctly.
TIP: Always QA your test in incognito mode across devices. A broken variant will skew your results.
Document results, decisions, and learnings for your testing knowledge base.
TIP: Document every test — even failures. A test that shows no difference is still valuable data. Build a testing knowledge base.
AI can generate test hypotheses, predict winners, and analyze results. Learn how to build an AI-driven optimization system for your business.
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An A/B test planning template is a structured document that helps you define hypotheses, choose metrics, calculate sample sizes, and document results for every experiment. It ensures data-driven decisions instead of guesswork.
Use a sample size calculator such as evanmiller.org to determine how many visitors you need per variant. Input your baseline conversion rate, minimum detectable effect, and desired statistical significance level, typically 95 percent.
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