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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Evaporating Cloud |  Product Discovery Experiment Canvas |
|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 60-120 min | 30-60 min |
Participantsdifferent | 1-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ForecastingFlowDelivery | Theory of ConstraintsAssumptionsSystems thinking | ExperimentsValidationDiscoveryHypothesis |
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