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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Starbursting with its method-specific working model.
Innovation
Starbursting
Paper illustration of Design Charrette with its method-specific working model.
Innovation
Design Charrette
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.Helps clarify ideas, open questions, and testable next steps in concrete terms. It opens the thinking space, collects ideas, and leads to testable options. The result is captured as a star-shaped question map, question list, and assumption list.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 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.
Complexitydifferent
HighLowMediumMedium
Timedifferent
1-4 Wochen30-60 minHalber Tag bis mehrere Tage1-5 Tage
Participantsdifferent
1-63-1010-50Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryStar-Shaped Question Map, Question List, Assumption ListSketches and Concepts, Consolidated Solution Sketch, Prioritized DirectionClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
BrainstormingIdeationWorkshopDiscovery
BrainstormingWorkshopCollaborationIdeation
ValidationExperimentsDemandDiscovery
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