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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Landing Page Test.
Product Discovery
Landing Page Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 Wochen1-5 Tage1-5 Tage30-60 min
Participantsdifferent
1-6NutzertrafficNutzertraffic1-5
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryLanding Page, Conversion Data, Learning SummaryClick Data, Interest Signal, Learning DecisionCompleted Experiment Canvas, Success Metric
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ValidationConversionMarketing
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryHypothesis
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