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| Criterion |  Agile NoEstimates |  Product Discovery Pretotyping |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 | Low | High |
Timedifferent | laufend | Stunden bis wenige Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 1-4 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | ValidationDemandMVP | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
