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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 Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.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
LowMediumLowMedium
Timedifferent
20-45 min30-60 min je Interview1-2 h1-2 Wochen pro Iteration
Participantsdifferent
Based on research question5-12 Interviews2-82-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesProblem Evidence, Risk Notes, Customer SegmentsDIBB document, Belief list, Bet list, Learning reportPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
Information architectureNavigationStructure
DiscoveryInterviewsValidation
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryAssumptions
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