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| Criterion |  Agile NoEstimates |  Product Discovery MVP Test Matrix |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | 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. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | laufend | 45-75 min | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-12 | 2-8 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Test Matrix, Test Plan | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationForecastingFlow | ExperimentsValidationDiscoveryOptions | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |