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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration for Problem Interview
Product Discovery
Problem Interview
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution.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.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.
Complexitydifferent
LowMediumLowLow
Timedifferent
20-45 min30-60 min je Interview1-2 h45-90 min
Participantsdifferent
Based on research question5-12 Interviews2-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesProblem Evidence, Risk Notes, Customer SegmentsDIBB document, Belief list, Bet list, Learning reportAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
Information architectureNavigationStructure
DiscoveryInterviewsValidation
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskDecisionDiscovery
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