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Criterion
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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reaction, and delay so cause and effect become more clearly readable.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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
60-180 min15-60 min je Zyklus1-2 h2-6 h
Participantsdifferent
3-101-82-83-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Incident Timeline, Evidence Log, Delay Analysis, Improvement ActionsSituation Assessment, Decision Loop, Action UpdatesDIBB document, Belief list, Bet list, Learning reportEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
IncidentTimelineSite Reliability Engineering
DecisionChangeLearningStrategy
StrategyDecisionAssumptionsHypothesis
CausalityIncidentRoot causeTimeline
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