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| Criterion |  Delivery Monte Carlo Forecasting |  Architecture C4 Model |  Engineering Kanban |
|---|---|---|---|
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. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | 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. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-4 h | Ongoing |
Participantsdifferent | 1-8 | 1-5 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Context Diagram, Container Diagram, Component Diagram | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | ArchitectureCommunicationVisualization | FlowVisual managementDelivery |
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