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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High |
Timedifferent | 60-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
