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| Criterion |  Engineering Kanban |  DevOps Blameless Postmortem |  Delivery Monte Carlo Forecasting |  DevOps Incident Timeline Analysis |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Ongoing | 30-90 min | 30-90 min Setup, danach laufend | 60-180 min |
Participantsdifferent | 2-12 | 3-12 | 1-8 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Postmortem Doc, Action Items, Timeline | Forecast Percentiles, Throughput Dataset, Risk Communication | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions |
Tagsno overlap | FlowVisual managementDelivery | Site Reliability EngineeringIncidentLearningReliability | ForecastingFlowDelivery | IncidentTimelineSite Reliability Engineering |