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| Criterion |  Operations Bottleneck Analysis |  DevOps Incident Timeline Analysis |  Knowledge Modeling Knowledge Mapping |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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 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 | Medium | High |
Timedifferent | 1-3 h | 60-180 min | 1-3 h | 2-6 h |
Participantsdifferent | 3-8 | 3-10 | 3-12 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | FlowMeasurementConstraints | IncidentTimelineSite Reliability Engineering | KnowledgeMappingRisk | CausalityIncidentRoot causeTimeline |