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| Criterion |  Engineering Failure Scenario Analysis |  Growth A/B Testing |  Product Discovery MVP Test Matrix |
|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 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 | Medium | High | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 45-75 min |
Participantsdifferent | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Async | Workshop |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions |
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