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| Criterion |  Delivery Monte Carlo Forecasting |  DevOps Incident Command |  Operations Causal Factor Analysis |  Operations Barrier Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once. | 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | As needed | 2-6 h | 2-4 h |
Participantsdifferent | 1-8 | 4-15 | 3-10 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Incident Log, Action Tracker, Stakeholder Updates | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ForecastingFlowDelivery | IncidentOperationsReliability | CausalityIncidentRoot causeTimeline | Root causeSafetyIncident |