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| Criterion |  Agile Ideal Days |  Delivery Monte Carlo Forecasting |  Product Strategy DIBB |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | High | Low | Medium |
Timedifferent | 15-60 min | 30-90 min Setup, danach laufend | 1-2 h | laufend |
Participantsdifferent | 2-9 | 1-8 | 2-8 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Forecast Percentiles, Throughput Dataset, Risk Communication | DIBB document, Belief list, Bet list, Learning report | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | EstimationEffortAgile | ForecastingFlowDelivery | StrategyDecisionAssumptionsHypothesis | EstimationForecastingFlow |