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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Communication Plan |  Architecture C4 Model |
|---|---|---|---|
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. | When many people need to be informed in parallel and messages would otherwise arrive unevenly or too late, a Communication Plan orders communication reliably. Channels, audiences, and cadences interlock so important information doesn't get lost. | 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. |
Complexitydifferent | High | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 1-4 h |
Participantsdifferent | 1-8 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Communication Plan, Channel Matrix, Message Cadence | Context Diagram, Container Diagram, Component Diagram |
Tagsno overlap | ForecastingFlowDelivery | CommunicationStakeholdersDeliveryPlanning | ArchitectureCommunicationVisualization |
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