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Criterion
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
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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 an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumLowLowMedium
Timedifferent
30-90 min1-2 h60–90 min15-60 min je Zyklus
Participantsdifferent
1-62-82-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportStakeholder Map, Engagement Plan, Risk NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
StakeholdersAlignmentFacilitationChange
DecisionChangeLearningStrategy
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