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| Criterion |  Engineering Kanban |  Architecture Architecture Inception Canvas |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | 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. | The Architecture Inception Canvas bundles the first architecture questions into a compact decision picture. It fits when an initiative is still in motion but still needs clear guardrails. | 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. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | Ongoing | 1-2 h | 30-90 min Setup, danach laufend | laufend |
Participantsdifferent | 2-12 | 3-8 | 1-8 | 2-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Inception Canvas, Risks, Goal List, Open Questions | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | FlowVisual managementDelivery | AlignmentArchitectureCanvas | ForecastingFlowDelivery | EstimationForecastingFlow |