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| Criterion | ![]() Engineering Kanban | ![]() Decision Making Delphi Method | ![]() Agile Affinity Estimation |
|---|---|---|---|
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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | Ongoing | 1-4 Wochen | 30-90 min |
Participantsdifferent | 2-12 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Expert Forecast, Consensus Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | FlowVisual managementDelivery | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing |
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