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| Criterion |  Decision Making Wideband Delphi |  Product Discovery Dual-Track Agile |  Engineering Kanban |  Agile NoEstimates |
|---|---|---|---|---|
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 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 h or multiple rounds | Laufend, Wochen bis Monate | Ongoing | laufend |
Participantsdifferent | 4-12 Experten | 4-10 | 2-12 | 2-12 |
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 | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | EstimationExpertsForecasting | AgileDiscoveryDelivery | FlowVisual managementDelivery | EstimationForecastingFlow |