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Criterion
Runbook workspace showing the question, observations, and next decision.
Operations
Runbook
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 of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For recurring operational tasks or incidents, the method keeps solid action logic ready. It reduces uncertainty when time pressure, role changes, or rare situations demand fast access.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.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
LowHighHighLow
Timedifferent
20-60 min1-4 WochenHalber Tag1-2 h
Participantsdifferent
1-46-30 Experten5-202-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Runbook, Checklist, Escalation PathExpert Forecast, Consensus Range, Assumption NotesSimulation Notes, Gaps List, Updated RunbooksDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
OperationsReliabilityDocumentation
ForecastingExpertsDecisionStrategy
ResilienceOperationsIncident
StrategyDecisionAssumptionsHypothesis
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