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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Change Analysis.
Operations
Change Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared.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.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.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.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.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
15-60 min je Zyklus30-90 min45-120 min1-4 Wochen
Participantsdifferent
1-81-62-66-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesDecision Tree, Option Map, Assumption ListChange Matrix, Cause Hypotheses, Validation Questions, Action ListExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionChangeLearningStrategy
DecisionTreeOptions
ChangeRoot causeTroubleshootingComparison
ForecastingExpertsDecisionStrategy
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