View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Delivery Monte Carlo Forecasting |  Agile Story Points |
|---|---|---|
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 teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. |
Complexitydifferent | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | laufend, 1-5 min je Item |
Participantsdifferent | 1-8 | 3-9 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Point Estimates, Reference Stories, Velocity Data |
Tagsno overlap | ForecastingFlowDelivery | EstimationAgileMeasurement |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
