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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.In dynamic situations, decisions become outdated faster than they can be prepared.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.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min10-20 min daily15-60 min je Zyklus20-45 min
Participantsdifferent
1-611-83-12
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review NotesSituation Assessment, Decision Loop, Action UpdatesLessons learned, Action items, Event summary
Tagsno overlap
DecisionTreeOptions
PlanningTime managementProductivityOperations
DecisionChangeLearningStrategy
LearningOperationsImprovement
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