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| Criterion |  Delivery Monte Carlo Forecasting |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Learning Card |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 60-90 min | 25-40 min | 45-75 min |
Participantsdifferent | 1-8 | 3-8 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Prioritization Canvas, Hypothesis Backlog | Learning Card with evidence and next action | Test Matrix, Test Plan |
Tagsno overlap | ForecastingFlowDelivery | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryOptions |