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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 Wochen1-2 Tage45-60 min1-5 Tage
Participantsdifferent
1-610-302-8Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryClick Heatmap, Success Rate, Design RecommendationsAssumption map, Test backlog, Risk rankingInterest Metrics, Conversion Signal, Learning Note
Tags1 shared
ExperimentsGrowthAnalyticsValidation
UXNavigationFindabilityValidation
AssumptionsRiskExperimentsValidation
ValidationExperimentsDemandGrowth
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