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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree 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
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Purposedifferent
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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.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.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 Wochen1-2 Tage45-60 min1-2 Tage
Participantsdifferent
1-6Based on research question2-810-30
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryFindability Metrics, Path Analysis, Revised IAAssumption map, Test backlog, Risk rankingClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Information architectureNavigationFindability
AssumptionsRiskExperimentsValidation
UXNavigationFindabilityValidation
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