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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of a Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable.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
LowMediumMediumHigh
Timedifferent
1-2 Tage45-60 min45-90 min1-4 Wochen
Participantsdifferent
10-302-81-61-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsAssumption map, Test backlog, Risk rankingLean Canvas, Core Assumptions, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
AssumptionsRiskExperimentsValidation
StartupLeanAssumptionsBusiness model
ExperimentsGrowthAnalyticsValidation
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