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| Criterion |  Decision Making Wideband Delphi |  Engineering Kanban |  Product Strategy DIBB |  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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Low | Medium |
Timedifferent | 1-4 h or multiple rounds | Ongoing | 1-2 h | laufend |
Participantsdifferent | 4-12 Experten | 2-12 | 2-8 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Kanban board, WIP policies, Flow metrics | DIBB document, Belief list, Bet list, Learning report | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | EstimationExpertsForecasting | FlowVisual managementDelivery | StrategyDecisionAssumptionsHypothesis | EstimationForecastingFlow |