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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.In dynamic situations, decisions become outdated faster than they can be prepared.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
MediumHighHighMedium
Timedifferent
30-90 minHalf day2-4 h15-60 min je Zyklus
Participantsdifferent
1-63-123-81-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListLeverage Map, Action StrategyFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
Systems thinkingChangeStrategy
Theory of ConstraintsSystems thinkingChange
DecisionChangeLearningStrategy
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