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| Criterion |  Agile WSJF |  Product Strategy Lean Canvas |  Delivery Monte Carlo Forecasting |  Innovation Lean Startup |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 45-90 min | 45-90 min | 30-90 min Setup, danach laufend | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 3-10 | 1-6 | 1-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Lean Canvas, Core Assumptions, Experiment Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | LeanEconomicsSequencePrioritization | StartupLeanAssumptionsBusiness model | ForecastingFlowDelivery | LeanStartupValidationMVP |