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| Criterion |  DevOps Incident Timeline Analysis |  DevOps Game Day |  Knowledge Modeling Knowledge Mapping |  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. | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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 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 | High | Medium | High |
Timedifferent | 60-180 min | Halber Tag | 1-3 h | 2-6 h |
Participantsdifferent | 3-10 | 5-20 | 3-12 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Simulation Notes, Gaps List, Updated Runbooks | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | IncidentTimelineSite Reliability Engineering | ResilienceOperationsIncident | KnowledgeMappingRisk | CausalityIncidentRoot causeTimeline |