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| Criterion |  Delivery Monte Carlo Forecasting |  DevOps Blameless Postmortem |  Operations 5 Whys |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 15-30 min | 1-3 h |
Participantsdifferent | 1-8 | 3-12 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Postmortem Doc, Action Items, Timeline | Root cause notes, Countermeasures | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | Site Reliability EngineeringIncidentLearningReliability | Root causeIncidentLeanProblem solving | LeanFlowWasteDelivery |