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| Criterion |  Engineering Kanban |  Decision Making Delphi Method |  Agile Affinity Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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. | 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. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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 | Medium | High | Medium | High |
Timedifferent | Ongoing | 1-4 Wochen | 30-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 6-30 Experten | 3-12 | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Expert Forecast, Consensus Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing | ForecastingFlowDelivery |