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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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 day1-4 Wochen15-60 min je Zyklus
Participantsdifferent
1-63-126-30 Experten1-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
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