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Criterion
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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
LowLowMediumLow
Timedifferent
45-90 min30–60 min per interview1-2 h Setup, laufend1-2 h
Participantsdifferent
2-81 participant per interview2-62-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Assumption List, Critical Assumptions, Learning PlanInterview Notes, Themes, Insight SummaryOpportunity Solution Tree, Experiment Backlog, Learning LogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
AssumptionsRiskDecisionDiscovery
QualitativeResearchCustomerDiscovery
DiscoveryOutcomesExperimentsOpportunity
StrategyDecisionAssumptionsHypothesis
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