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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
Paper illustration for Learning Review.
Operations
Learning Review
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
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.When a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights.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.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
30-90 min45–75 min1-3 h30-90 min
Participantsdifferent
1-6Team members involved3-103-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption List4Ls Board, Learning Themes, Improvement ActionsLearning Review Notes, System Factors, Improvement ActionsPostmortem Doc, Action Items, Timeline
Tagsno overlap
DecisionTreeOptions
RetrospectiveLearningReflectionTeam
LearningRetrospectiveIncidentOperations
Site Reliability EngineeringIncidentLearningReliability
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