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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
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
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.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
LowHighLowMedium
Timedifferent
1-2 Tage1-4 Wochen15-30 min1-4 h
Participantsdifferent
10-301-62-63-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsExperiment results, Decision log, Learning summaryRoot cause notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
UXNavigationFindabilityValidation
ExperimentsGrowthAnalyticsValidation
Root causeIncidentLeanProblem solving
Root causeProblem solvingQualityIncident
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