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Criterion
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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 an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable.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.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
30-90 min60-180 min1-2 h2-6 h
Participantsdifferent
3-123-102-83-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Postmortem Doc, Action Items, TimelineIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsDIBB document, Belief list, Bet list, Learning reportEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Site Reliability EngineeringIncidentLearningReliability
IncidentTimelineSite Reliability Engineering
StrategyDecisionAssumptionsHypothesis
CausalityIncidentRoot causeTimeline
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