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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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.Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 WochenStunden bis wenige Tage60-90 min20-35 min
Participantsdifferent
1-61-43-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryPretotyping sketch, Test setup, Conversion data, Go or no-go decisionPrioritization Canvas, Hypothesis BacklogTest Card with a pre-set threshold
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
ValidationDemandMVP
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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