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| Criterion | ![]() Decision Making Wideband Delphi | ![]() Product Discovery Dual-Track Agile | ![]() Engineering Kanban | ![]() Agile Ideal Days |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 h or multiple rounds | Laufend, Wochen bis Monate | Ongoing | 15-60 min |
Participantsdifferent | 4-12 Experten | 4-10 | 2-12 | 2-9 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Kanban board, WIP policies, Flow metrics | Ideal Day Estimates, Assumption Notes, Capacity Caveats |
Tagsno overlap | EstimationExpertsForecasting | AgileDiscoveryDelivery | FlowVisual managementDelivery | EstimationEffortAgile |



