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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.In dynamic situations, decisions become outdated faster than they can be prepared.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 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
30-90 min10-30 min je Item15-60 min je Zyklus1-4 Wochen
Participantsdifferent
1-61-81-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListThree-Point Estimate, Risk Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
EstimationUncertaintyForecasting
DecisionChangeLearningStrategy
ForecastingExpertsDecisionStrategy
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