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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
LowLowLowHigh
Timedifferent
1-2 h1-2 Tage20-45 min1-4 Wochen
Participantsdifferent
2-810-30Based on research question6-30 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportClick Heatmap, Success Rate, Design RecommendationsContent groups, Label set, IA hypothesesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
UXNavigationFindabilityValidation
Information architectureNavigationStructure
ForecastingExpertsDecisionStrategy
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