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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Purposedifferent
IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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.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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h30-90 min1-2 h1-3 h
Participantsdifferent
2-83-122-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesPostmortem Doc, Action Items, TimelineDIBB document, Belief list, Bet list, Learning reportArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
RationaleKnowledgeDecision
Site Reliability EngineeringIncidentLearningReliability
StrategyDecisionAssumptionsHypothesis
SensemakingDecisionRationale
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