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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
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.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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
30-90 min1-4 Wochen15-60 min je ZyklusHalf day
Participantsdifferent
1-66-30 Experten1-83-12
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesLeverage Map, Action Strategy
Tagsno overlap
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
Systems thinkingChangeStrategy
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