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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 for Constraint Analysis.
Decision Making
Constraint Analysis
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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumHighMediumLow
Timedifferent
30-90 min1-4 Wochen15-60 min je Zyklus30-90 min
Participantsdifferent
1-66-30 Experten1-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tags1 shared
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
ConstraintsDecisionPlanningOptions
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