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Selected:Incident Timeline AnalysisKnowledge MappingFailure Mode and Effects AnalysisCausal Factor Analysis
| Criterion | ![]() DevOps Incident Timeline Analysis | ![]() Knowledge Modeling Knowledge Mapping | ![]() Operations Failure Mode and Effects 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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | Medium | Medium | High | High |
Timedifferent | 60-180 min | 1-3 h | 2-6 h | 2-6 h |
Participantsdifferent | 3-10 | 3-12 | 3-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Knowledge Map, Critical Knowledge Areas, Transfer Plan | FMEA Table, Risk Priority, Mitigation Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | IncidentTimelineSite Reliability Engineering | KnowledgeMappingRisk | RiskQualityOperationsRoot cause | CausalityIncidentRoot causeTimeline |



