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| Criterion |  Growth A/B Testing |  Decision Making Constraint Analysis |  Systems Thinking Current Reality Tree |  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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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 | High | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 2-6 h | 45-75 min |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Current Reality Tree, Core Problems, Intervention Ideas | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions | Systems thinkingRoot causeConstraintsCausality | ExperimentsValidationDiscoveryOptions |