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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
First-click Testing method illustration showing its working structure
UX Research
First-click 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
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 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 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
MediumLowLowHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-2 Tage1-5 Tage1-4 Wochen
Participantsdifferent
Designers, developers as users, and facilitation10-30Nutzertraffic1-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsClick Heatmap, Success Rate, Design RecommendationsInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
UXNavigationFindabilityValidation
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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