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Criterion
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
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
Purposedifferent
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.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 a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.
Complexitydifferent
LowHighHighHigh
Timedifferent
1-2 h1-4 WochenHalber Tag2-8 h
Participantsdifferent
2-86-30 Experten5-202-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption NotesSimulation Notes, Gaps List, Updated RunbooksProblem Analysis, Decision Analysis, Risk Plan
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
ResilienceOperationsIncident
Problem solvingRoot causeDecisionOperations
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