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Criterion
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h30-90 min1-2 h45-60 min
Participantsdifferent
3-121-62-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Knowledge Map, Critical Knowledge Areas, Transfer PlanDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportAssumption map, Test backlog, Risk ranking
Tagsno overlap
KnowledgeMappingRisk
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskExperimentsValidation
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