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| Criterion |  Delivery Cost of Delay |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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. | 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 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 90-180 min | 30-60 min | 45-75 min | 1-5 Tage |
Participantsdifferent | 3-8 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | CoD Table, Prioritization Sequence | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |