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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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
In dynamic situations, decisions become outdated faster than they can be prepared.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.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
15-60 min je Zyklus60-180 min1-2 h2-6 h
Participantsdifferent
1-83-102-83-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsDIBB document, Belief list, Bet list, Learning reportEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
DecisionChangeLearningStrategy
IncidentTimelineSite Reliability Engineering
StrategyDecisionAssumptionsHypothesis
CausalityIncidentRoot causeTimeline
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