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 WSJF |  Operations Waste Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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. |
Complexitydifferent | High | Low | High |
Timedifferent | 45-90 min | 45-120 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-10 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Waste Map, Prioritized Waste, Improvement Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanEconomicsSequencePrioritization | WasteLeanProcess improvement | ForecastingFlowDelivery |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
