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| Criterion |  Agile Affinity Estimation |  Engineering Kanban |  Product Discovery Dual-Track Agile |
|---|---|---|---|
Purposedifferent | 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. | 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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-90 min | Ongoing | Laufend, Wochen bis Monate |
Participantsdifferent | 3-12 | 2-12 | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Kanban board, WIP policies, Flow metrics | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | EstimationBacklogRelative sizing | FlowVisual managementDelivery | AgileDiscoveryDelivery |
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