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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B 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
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 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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowLowHighMedium
Timedifferent
45–90 min1-2 Tage1-4 Wochen45-60 min
Participantsdifferent
3-1010-301-62-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasClick Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
SynthesisQualitativeRoot cause
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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