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Draft an experiment preregistration before collecting data
Record a testable hypothesis, primary metric, allocation, exclusions, and stopping rules before results can influence the experiment plan.
No public results yet
Record a testable hypothesis, primary metric, allocation, exclusions, and stopping rules before results can influence the experiment plan.
# Checkout redesign A/B test — analysis plan and interpretation ## What the design supports Two independent groups, roughly 6,200 per arm, with a binary primary outcome (completed purchase) and a continuous secondary outcome (order value, right-skewed as order values almost always are). Randomisation at the session level with a 21-day run covering three full weekly cycles is sound. One caveat that limits every conclusion below: sessions, not users, were randomised, so a returning visitor could
Applies a senior statistician's workflow to your data: descriptive summary, justified test selection, models, effect sizes with confidence intervals, and a plain-language reading of what is practically significant.