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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List.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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.
Complexitydifferent
LowLowHighLow
Timedifferent
1-2 Tage30-60 min1-4 Wochen30-60 min
Participantsdifferent
10-303-101-62-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsRisk Matrix, Top Risk ListExperiment results, Decision log, Learning summaryICE Table, Top Idea List
Tagsno overlap
UXNavigationFindabilityValidation
RiskDecisionPrioritizationAssessment
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
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