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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.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.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
MediumLowMediumHigh
Timedifferent
1-3 h20-60 min60-180 min2-6 h
Participantsdifferent
2-813-103-10
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesPlain-language Explanation, Knowledge Gaps, Study NotesIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
RationaleKnowledgeDecision
LearningKnowledgeUnderstanding
IncidentTimelineSite Reliability Engineering
CausalityIncidentRoot causeTimeline
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