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Criterion
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
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.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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
MediumLowHighHigh
Timedifferent
Ongoing1-2 h2-6 h2-6 h
Participantsdifferent
2-202-83-103-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Chat Transcript, Action Log, AutomationsDIBB document, Belief list, Bet list, Learning reportEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
CollaborationEngineeringIncident
StrategyDecisionAssumptionsHypothesis
CausalityIncidentRoot causeTimeline
Systems thinkingRoot causeConstraintsCausality
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