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Criterion
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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.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
MediumMediumHighLow
Timedifferent
As needed30-90 min1-4 Wochen1-2 h
Participantsdifferent
4-153-126-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Incident Log, Action Tracker, Stakeholder UpdatesPostmortem Doc, Action Items, TimelineExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
IncidentOperationsReliability
Site Reliability EngineeringIncidentLearningReliability
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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