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| Criterion |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  Architecture arc42 |  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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. | 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 | Medium | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | laufend | 1-2 Tage | 1-4 h |
Participantsdifferent | 1-8 | 2-12 | 1-4 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | Architecture Document, Context View, Runtime View, Deployment View | Context Diagram, Container Diagram, Component Diagram |
Tagsno overlap | ForecastingFlowDelivery | EstimationForecastingFlow | ArchitectureDocumentationCommunication | ArchitectureCommunicationVisualization |