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| Criterion |  Facilitation Dot Estimation |  Architecture C4 Model |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 | Low | Low | High |
Timedifferent | 5-20 min | 1-4 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-20 | 1-5 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Context Diagram, Container Diagram, Component Diagram | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationEffortRisk | ArchitectureCommunicationVisualization | ForecastingFlowDelivery |
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