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Criterion
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Design Charrette with its method-specific working model.
Innovation
Design Charrette
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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.In a tightly timed design process with many participants, the method pools several lines of thinking in a short time. It brings parallel design energy without letting the discussion tip into endless coordination. This quickly produces solid directions for architecture or space.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.
Complexitydifferent
LowHighMediumLow
Timedifferent
Stunden bis wenige Tage1-4 WochenHalber Tag bis mehrere Tage1-5 Tage
Participantsdifferent
1-41-610-50Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Pretotyping sketch, Test setup, Conversion data, Go or no-go decisionExperiment results, Decision log, Learning summarySketches and Concepts, Consolidated Solution Sketch, Prioritized DirectionInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ValidationDemandMVP
ExperimentsGrowthAnalyticsValidation
BrainstormingWorkshopCollaborationIdeation
ValidationExperimentsDemandGrowth
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