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| Criterion | ![]() Decision Making Wideband Delphi | ![]() Engineering Kanban | ![]() Product Strategy DIBB | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | 1-4 h or multiple rounds | Ongoing | 1-2 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-12 Experten | 2-12 | 2-8 | 1-8 |
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 | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationExpertsForecasting | FlowVisual managementDelivery | StrategyDecisionAssumptionsHypothesis | ForecastingFlowDelivery |



