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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.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how options branch under conditions and which consequences hang on each branch.In dynamic situations, decisions become outdated faster than they can be prepared.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.
Complexitydifferent
HighLowMediumMedium
Timedifferent
1-4 Wochen20-45 min30-90 min15-60 min je Zyklus
Participantsdifferent
6-30 Experten3-121-61-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesLessons learned, Action items, Event summaryDecision Tree, Option Map, Assumption ListSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
ForecastingExpertsDecisionStrategy
LearningOperationsImprovement
DecisionTreeOptions
DecisionChangeLearningStrategy
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