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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.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
MediumMediumHighLow
Timedifferent
30-90 min30-90 minHalber Tag20-45 min
Participantsdifferent
1-63-125-203-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPostmortem Doc, Action Items, TimelineSimulation Notes, Gaps List, Updated RunbooksLessons learned, Action items, Event summary
Tagsno overlap
DecisionTreeOptions
Site Reliability EngineeringIncidentLearningReliability
ResilienceOperationsIncident
LearningOperationsImprovement
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