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| Criterion | ![]() Agile Story Points | ![]() Product Discovery Assumption Mapping | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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 | Medium | Medium | Low |
Timedifferent | laufend, 1-5 min je Item | 45-60 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-9 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Point Estimates, Reference Stories, Velocity Data | Assumption map, Test backlog, Risk ranking | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EstimationAgileMeasurement | AssumptionsRiskExperimentsValidation | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



