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| Criterion |  Delivery Monte Carlo Forecasting |  Product Discovery Assumption Mapping |  Decision Making Force Field 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-60 min | 45-90 min |
Participantsdifferent | 1-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Assumption map, Test backlog, Risk ranking | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ForecastingFlowDelivery | AssumptionsRiskExperimentsValidation | ChangeDecisionStrategy |
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