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 |  Agile Story Splitting |  Agile Bucket System |
|---|---|---|---|---|
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. | 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. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 30-90 min | 30-90 min Setup, danach laufend | 30-60 min | 30-90 min |
Participantsdifferent | 3-12 | 1-8 | 2-6 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Forecast Percentiles, Throughput Dataset, Risk Communication | Smaller Stories, Acceptance Criteria, Split Rationale | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | ForecastingFlowDelivery | BacklogIterationDelivery | EstimationBacklogRelative sizing |