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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Purposedifferent
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.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.
Complexitydifferent
LowMediumLowMedium
Timedifferent
1-2 h30-90 min30-60 min1-2 h
Participantsdifferent
2-81-62-104-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption ListDACI Matrix, Decision Owner, Decision LogAlignment Map, Open Issues, Decision Questions
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
DecisionRolesGovernanceAlignment
AlignmentStakeholdersStrategyFacilitation
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