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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.In dynamic situations, decisions become outdated faster than they can be prepared.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
MediumLowMediumHigh
Timedifferent
30-90 min20-60 min15-60 min je Zyklus1-4 Wochen
Participantsdifferent
1-611-86-30 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListPlain-language Explanation, Knowledge Gaps, Study NotesSituation Assessment, Decision Loop, Action UpdatesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
LearningKnowledgeUnderstanding
DecisionChangeLearningStrategy
ForecastingExpertsDecisionStrategy
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