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Criterion
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
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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
LowHighMediumLow
Timedifferent
1-2 Tage1-4 Wochen1-2 Wochen1-5 Tage
Participantsdifferent
10-301-61-6Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next betInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
ValidationExperimentsDemandGrowth
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