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Criterion
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Paper illustration for Learning Review.
Operations
Learning Review
Purposedifferent
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once.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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
20-45 min1-2 hAs needed1-3 h
Participantsdifferent
3-122-84-153-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Lessons learned, Action items, Event summaryDIBB document, Belief list, Bet list, Learning reportIncident Log, Action Tracker, Stakeholder UpdatesLearning Review Notes, System Factors, Improvement Actions
Tagsno overlap
LearningOperationsImprovement
StrategyDecisionAssumptionsHypothesis
IncidentOperationsReliability
LearningRetrospectiveIncidentOperations
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