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| Criterion |  DevOps ChatOps |  Delivery Value Stream Mapping |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | 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. | 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 | Medium | High |
Timedifferent | Ongoing | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-20 | 4-10 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Chat Transcript, Action Log, Automations | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | CollaborationEngineeringIncident | LeanFlowWasteDelivery | ForecastingFlowDelivery |
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