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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
HighMediumLowHigh
Timedifferent
Halber TagOngoing1-2 h1-4 Wochen
Participantsdifferent
5-202-202-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksChat Transcript, Action Log, AutomationsDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
ResilienceOperationsIncident
CollaborationEngineeringIncident
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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