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| Criterion |  Engineering Kanban |  Decision Making Three-Point Estimation |  Decision Making Delphi Method |  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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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. | 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 | Medium | High | High |
Timedifferent | Ongoing | 10-30 min je Item | 1-4 Wochen | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 1-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Three-Point Estimate, Risk Range, Assumption Notes | Expert Forecast, Consensus Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | EstimationUncertaintyForecasting | ForecastingExpertsDecisionStrategy | ForecastingFlowDelivery |