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| Criterion |  Engineering Failure Scenario Analysis |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
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 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 60-90 min | 20-35 min |
Participantsdifferent | 3-8 | 1-6 | 3-8 | 1-5 |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Test Card with a pre-set threshold |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |