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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 Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption 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.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 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.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
LowLowLowMedium
Timedifferent
1-2 Tage1-2 h30-60 min1-2 Wochen pro Iteration
Participantsdifferent
10-302-81-52-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsDIBB document, Belief list, Bet list, Learning reportCompleted Experiment Canvas, Success MetricPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
UXNavigationFindabilityValidation
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryAssumptions
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