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Criterion
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 an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.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.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.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
MediumLowMediumLow
Timedifferent
1-2 h Setup, laufend45-90 min1-3 h1-2 h
Participantsdifferent
2-62-83-122-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Opportunity Solution Tree, Experiment Backlog, Learning LogAssumption List, Critical Assumptions, Learning PlanKnowledge Map, Critical Knowledge Areas, Transfer PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
DiscoveryOutcomesExperimentsOpportunity
AssumptionsRiskDecisionDiscovery
KnowledgeMappingRisk
StrategyDecisionAssumptionsHypothesis
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