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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
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
Purposedifferent
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.For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.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.
Complexitydifferent
HighMediumLowMedium
Timedifferent
Halber TagOngoing1-2 hAs needed
Participantsdifferent
5-202-202-84-15
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksChat Transcript, Action Log, AutomationsDIBB document, Belief list, Bet list, Learning reportIncident Log, Action Tracker, Stakeholder Updates
Tagsno overlap
ResilienceOperationsIncident
CollaborationEngineeringIncident
StrategyDecisionAssumptionsHypothesis
IncidentOperationsReliability
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