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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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captures results as a DIBB document, belief list, bet list, and learning report.In dynamic situations, decisions become outdated faster than they can be prepared.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
MediumHighLowMedium
Timedifferent
30-90 min1-5 Tage1-2 h15-60 min je Zyklus
Participantsdifferent
1-64-122-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListLogic Model, Change Objectives, Intervention Components, Evaluation PlanDIBB document, Belief list, Bet list, Learning reportSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
ChangeSystems thinkingCapability
StrategyDecisionAssumptionsHypothesis
DecisionChangeLearningStrategy
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