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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
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.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.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.
Complexitydifferent
LowMediumHighMedium
Timedifferent
1-2 h30-90 min1-4 WochenAs needed
Participantsdifferent
2-83-126-30 Experten4-15
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportPostmortem Doc, Action Items, TimelineExpert Forecast, Consensus Range, Assumption NotesIncident Log, Action Tracker, Stakeholder Updates
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
Site Reliability EngineeringIncidentLearningReliability
ForecastingExpertsDecisionStrategy
IncidentOperationsReliability
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