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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Product Discovery Learning Card |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Medium | High | Low | Low |
Timedifferent | laufend | 30-90 min Setup, danach laufend | 25-40 min | 30-60 min |
Participantsdifferent | 2-12 | 1-8 | 1-5 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |