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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
MediumLowMediumHigh
Timedifferent
45-60 min1-2 TageWochen bis Monate je Lernzyklus1-4 Wochen
Participantsdifferent
2-810-302-81-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingClick Heatmap, Success Rate, Design RecommendationsHypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment results, Decision log, Learning summary
Tags1 shared
AssumptionsRiskExperimentsValidation
UXNavigationFindabilityValidation
LeanStartupValidationMVP
ExperimentsGrowthAnalyticsValidation
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