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| Criterion |  Agile WSJF |  Product Strategy Lean Canvas |  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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 | Medium | High |
Timedifferent | 45-90 min | 45-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-10 | 1-6 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Lean Canvas, Core Assumptions, Experiment Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanEconomicsSequencePrioritization | StartupLeanAssumptionsBusiness model | ForecastingFlowDelivery |
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