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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 Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment 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 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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighLowLowLow
Timedifferent
1-4 WochenStunden bis wenige Tage30-60 min20-35 min
Participantsdifferent
1-61-41-51-5
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryPretotyping sketch, Test setup, Conversion data, Go or no-go decisionCompleted Experiment Canvas, Success MetricTest Card with a pre-set threshold
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ValidationDemandMVP
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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