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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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how options branch under conditions and which consequences hang on each branch.In dynamic situations, decisions become outdated faster than they can be prepared.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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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
MediumMediumLowLow
Timedifferent
30-90 min15-60 min je Zyklus30-90 min1-2 h
Participantsdifferent
1-61-82-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListSituation Assessment, Decision Loop, Action UpdatesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDIBB document, Belief list, Bet list, Learning report
Tags1 shared
DecisionTreeOptions
DecisionChangeLearningStrategy
ConstraintsDecisionPlanningOptions
StrategyDecisionAssumptionsHypothesis
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