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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Growth Funnel Analysis | ![]() Product Discovery Test Card | ![]() Growth A/B Testing |
|---|---|---|---|---|
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 1-3 h | 20-35 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 1-5 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Funnel report, Drop-off analysis, Optimization hypotheses | Test Card with a pre-set threshold | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |



