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| Criterion |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |  Decision Making Constraint Analysis |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Medium | Low | Low | Medium |
Timedifferent | 45-75 min | 30-60 min | 30-90 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis | ConstraintsDecisionPlanningOptions | ValidationExperimentsDemandDiscovery |