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| Criterion |  Growth A/B Testing |  Decision Making Constraint Analysis |  Product Discovery Riskiest Assumption Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 1-2 Wochen pro Iteration | 45-75 min |
Participantsdifferent | 1-6 | 2-8 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Prioritized Assumption List, Test Plan, Results Report | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryAssumptions | ExperimentsValidationDiscoveryOptions |