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Criterion
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.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.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
LowMediumLowLow
Timedifferent
45-90 min1-4 Wochen20-45 min1-2 h
Participantsdifferent
2-83-10 KundenBased on research question2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Assumption List, Critical Assumptions, Learning PlanConcierge Learnings, Service Blueprint, MVP RisksContent groups, Label set, IA hypothesesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
AssumptionsRiskDecisionDiscovery
MVPValidationServiceDiscovery
Information architectureNavigationStructure
StrategyDecisionAssumptionsHypothesis
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