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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Purposedifferent
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.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.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.
Complexitydifferent
HighMediumLowHigh
Timedifferent
1-4 WochenAs needed1-2 hHalber Tag
Participantsdifferent
6-30 Experten4-152-85-20
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesIncident Log, Action Tracker, Stakeholder UpdatesDIBB document, Belief list, Bet list, Learning reportSimulation Notes, Gaps List, Updated Runbooks
Tagsno overlap
ForecastingExpertsDecisionStrategy
IncidentOperationsReliability
StrategyDecisionAssumptionsHypothesis
ResilienceOperationsIncident
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