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| Criterion |  Product Strategy DIBB |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 1-2 h | 30-90 min Setup, danach laufend | laufend | 90-180 min |
Participantsdifferent | 2-8 | 1-8 | 2-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | CoD Table, Prioritization Sequence |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingFlowDelivery | EstimationForecastingFlow | PrioritizationDeliveryEconomicsDecision |