Choose patterns by need
A usability test finds problems; a randomized experiment can estimate impact. Neither provides a universal conversion promise.
Find friction through task tests and measure changes with clear definitions.
A usability test finds problems; a randomized experiment can estimate impact. Neither provides a universal conversion promise.
Define audience, exposure, denominator and primary outcome before starting. Record what could invalidate the data.
Start with an observable shopper problem. Define a primary metric, a clear denominator and quality checks before launching an experiment.
Measure whether pages become visible, respond to shoppers and keep elements stable. Evaluate speed on real devices and shopping tasks.
Define each step as an observable event. Separate a checkout attempt from an accepted order and confirmed payment.
Define eligibility before starting. Mobile, market and new shoppers can be useful segments, but post-hoc hunting creates false winners.
Check observed participant counts against planned allocation. Unexplained imbalance can make an experiment unreliable.
Measure more than completed purchases. A change increasing errors, returns or discount cost can harm the business.
Data loss, incorrect variant allocation, returns/refunds, margin, accessibility and mobile performance.
Create a concrete measurement plan ↗