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| Criterion |  Decision Making Constraint Analysis |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Low | High | Medium | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 60-90 min | 45-75 min |
Participantsdifferent | 2-8 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions |