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| Criterion |  Engineering Kanban |  Agile NoEstimates |  Delivery MoSCoW |  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. | 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. | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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 | Medium | Low | High |
Timedifferent | Ongoing | laufend | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-12 | 2-12 | 3-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Throughput Data, Flow Forecast, Slicing Rules | Prioritized Backlog, Release Scope, Tradeoff Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | FlowVisual managementDelivery | EstimationForecastingFlow | PrioritizationScopeDecision | ForecastingExpertsDecisionStrategy |