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Criterion
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
LowHighLowHigh
Timedifferent
Stunden bis wenige Tage4-5 Tage1-5 Tage1-4 Wochen
Participantsdifferent
1-45-8Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Pretotyping sketch, Test setup, Conversion data, Go or no-go decisionPrototype, Test Findings, Decision RationaleInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tags1 shared
ValidationDemandMVP
Design sprintPrototypeValidationInnovation
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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