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Criterion
Visual Management workspace showing the question, observations, and next decision.
Operations
Visual Management
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work.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.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separates course, effect, and causes so experience turns into solid improvement.In dynamic situations, decisions become outdated faster than they can be prepared.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
LowMediumLowMedium
Timedifferent
Ongoing30-90 min20-45 min15-60 min je Zyklus
Participantsdifferent
1-201-63-121-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Visual Board, Status Indicators, Exception CuesDecision Tree, Option Map, Assumption ListLessons learned, Action items, Event summarySituation Assessment, Decision Loop, Action Updates
Tagsno overlap
SignalsOperationsVisual management
DecisionTreeOptions
LearningOperationsImprovement
DecisionChangeLearningStrategy
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