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| Criterion |  Engineering Kanban |  Decision Making DACI |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | Ongoing | 30-60 min | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 2-12 | 2-10 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | DACI Matrix, Decision Owner, Decision Log | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | FlowVisual managementDelivery | DecisionRolesGovernanceAlignment | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy |