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| Criterion |  Delivery Monte Carlo Forecasting |  Product Strategy Impact Mapping |  Operations Bottleneck Analysis |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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 goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 1-3 h | 30-90 min |
Participantsdifferent | 1-8 | 3-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Impact Map, Outcome Hypotheses, Delivery Options | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | ForecastingFlowDelivery | OutcomesStrategyBehaviorPlanning | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions |