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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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
LowMediumHighMedium
Timedifferent
1-2 Tage2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen1-5 Tage
Participantsdifferent
10-30Designers, developers as users, and facilitation1-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tags1 shared
UXNavigationFindabilityValidation
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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