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| Criterion |  Growth A/B Testing |  Decision Making Pre-Mortem |  Product Discovery MVP Test Matrix |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 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. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 20–45 min | 45-75 min | 30-90 min |
Participantsdifferent | 1-6 | Small cross-functional group | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Risk list, Mitigation plan, Assumption log | Test Matrix, Test Plan | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskDecisionFailurePlanning | ExperimentsValidationDiscoveryOptions | ConstraintsDecisionPlanningOptions |