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| Criterion |  DevOps Incident Timeline Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|
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. | 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. |
Complexitydifferent | Medium | High |
Timedifferent | 60-180 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-10 | 1-8 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | IncidentTimelineSite Reliability Engineering | ForecastingFlowDelivery |
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