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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
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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 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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
LowHighLowMedium
Timedifferent
1-2 Tage1-4 Wochen45-90 min1-5 Tage
Participantsdifferent
10-301-62-8Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summaryAssumption List, Critical Assumptions, Learning PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskDecisionDiscovery
ValidationExperimentsDemandDiscovery
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