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| Criterion |  Engineering Failure Scenario Analysis |  Product Discovery Learning Card |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h | 25-40 min | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 3-8 | 1-5 | 1-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Learning Card with evidence and next action | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | FailureResilienceRisk | ExperimentsValidationDiscoveryLearning | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |