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Criterion
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
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
Purposedifferent
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.For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come 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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
30-90 minOngoing1-2 h1-4 Wochen
Participantsdifferent
3-122-202-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Postmortem Doc, Action Items, TimelineChat Transcript, Action Log, AutomationsDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Site Reliability EngineeringIncidentLearningReliability
CollaborationEngineeringIncident
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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