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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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 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
45–90 min1-2 Tage45-60 min1-4 Wochen
Participantsdifferent
3-1010-302-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasClick Heatmap, Success Rate, Design RecommendationsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
SynthesisQualitativeRoot cause
UXNavigationFindabilityValidation
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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