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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
LowMediumLowHigh
Timedifferent
1-2 Tage1-2 Tage1-5 Tage1-4 Wochen
Participantsdifferent
10-30Based on research questionNutzertraffic1-6
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IAInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
Information architectureNavigationFindability
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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