View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Agile Affinity Estimation |  Delivery Monte Carlo Forecasting |  Decision Making Three-Point Estimation |
|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. | 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 | Medium | High | Medium |
Timedifferent | 30-90 min | 30-90 min Setup, danach laufend | 10-30 min je Item |
Participantsdifferent | 3-12 | 1-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Forecast Percentiles, Throughput Dataset, Risk Communication | Three-Point Estimate, Risk Range, Assumption Notes |
Tagsno overlap | EstimationBacklogRelative sizing | ForecastingFlowDelivery | EstimationUncertaintyForecasting |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
