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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 Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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.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Analysis separates these limits and shows which of them can actually be shaped.In dynamic situations, decisions become outdated faster than they can be prepared.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
MediumLowLowMedium
Timedifferent
30-90 min20-60 min30-90 min15-60 min je Zyklus
Participantsdifferent
1-612-81-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPlain-language Explanation, Knowledge Gaps, Study NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
DecisionTreeOptions
LearningKnowledgeUnderstanding
ConstraintsDecisionPlanningOptions
DecisionChangeLearningStrategy
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