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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowLowHighMedium
Timedifferent
1-2 Tage30-60 min1-4 Wochen1-5 Tage
Participantsdifferent
10-301-51-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tags1 shared
UXNavigationFindabilityValidation
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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