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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowLowMediumLow
Timedifferent
1-2 Tage1-2 h45-60 min30-60 min
Participantsdifferent
10-302-82-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsDIBB document, Belief list, Bet list, Learning reportAssumption map, Test backlog, Risk rankingCompleted Experiment Canvas, Success Metric
Tagsno overlap
UXNavigationFindabilityValidation
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskExperimentsValidation
ExperimentsValidationDiscoveryHypothesis
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