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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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In dynamic situations, decisions become outdated faster than they can be prepared.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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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
MediumHighMediumHigh
Timedifferent
15-60 min je Zyklus2-4 h45-90 min1-4 Wochen
Participantsdifferent
1-83-82-86-30 Experten
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDecision Matrix, Scoring Rationale, Selected OptionExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionChangeLearningStrategy
Theory of ConstraintsSystems thinkingChange
DecisionCriteriaScoringTradeoffs
ForecastingExpertsDecisionStrategy
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