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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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.
Complexitydifferent
MediumLowLowLow
Timedifferent
3-14 Tage1-2 Tage45-90 min1-2 h
Participantsdifferent
50+10-302-82-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsClick Heatmap, Success Rate, Design RecommendationsAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
QuantitativeResearchValidation
UXNavigationFindabilityValidation
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
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