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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
LowLowMediumHigh
Timedifferent
1-2 Tage30–60 min45-60 min1-4 Wochen
Participantsdifferent
10-304-82-81-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsEmpathy Map, Assumptions List, Research GapsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
SynthesisQualitativeWorkshop
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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