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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.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.
Complexitydifferent
HighMediumLow
Timedifferent
Halber TagAs needed1-2 h
Participantsdifferent
5-204-152-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksIncident Log, Action Tracker, Stakeholder UpdatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ResilienceOperationsIncident
IncidentOperationsReliability
StrategyDecisionAssumptionsHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis