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| Criterion |  Engineering Kanban |  Decision Making Wideband Delphi |  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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 h or multiple rounds | 30-90 min |
Participantsdifferent | 2-12 | 4-12 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Estimate Range, Assumption Log, Expert Consensus Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | FlowVisual managementDelivery | EstimationExpertsForecasting | EstimationBacklogRelative sizing |
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