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| Criterion |  Operations Bottleneck Analysis |  Architecture C4 Model |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. | 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 | Low | High |
Timedifferent | 1-3 h | 1-4 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 1-5 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Context Diagram, Container Diagram, Component Diagram | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowMeasurementConstraints | ArchitectureCommunicationVisualization | ForecastingFlowDelivery |
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