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| Criterion |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  Agile Story Splitting |  Decision Making Three-Point Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | laufend | 30-60 min | 10-30 min je Item |
Participantsdifferent | 1-8 | 2-12 | 2-6 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | Smaller Stories, Acceptance Criteria, Split Rationale | Three-Point Estimate, Risk Range, Assumption Notes |
Tagsno overlap | ForecastingFlowDelivery | EstimationForecastingFlow | BacklogIterationDelivery | EstimationUncertaintyForecasting |