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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Product Discovery Dual-Track Agile |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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 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. | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | Ongoing | Laufend, Wochen bis Monate | 45-90 min |
Participantsdifferent | 1-8 | 2-12 | 4-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ForecastingFlowDelivery | FlowVisual managementDelivery | AgileDiscoveryDelivery | AssumptionsRiskDecisionDiscovery |