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| Criterion |  Product Discovery MVP Test Matrix |  Engineering Goal Question Metric |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 | 45-75 min | 90-180 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-8 | 3-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Test Matrix, Test Plan | GQM Table, Metric Profiles | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsValidationDiscoveryOptions | MetricsMeasurementEngineeringAlignment | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |