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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for ABC Analysis
Operations
ABC Analysis
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.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.With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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
HighHighLowLow
Timedifferent
Halber Tag1-4 Wochen30-60 min1-2 h
Participantsdifferent
5-206-30 Experten1-52-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksExpert Forecast, Consensus Range, Assumption NotesABC Classification, Focus Rules, Control ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ResilienceOperationsIncident
ForecastingExpertsDecisionStrategy
PrioritizationOperationsPortfolio
StrategyDecisionAssumptionsHypothesis
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