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| Criterion | ![]() Engineering Failure Scenario Analysis | ![]() Operations ABC Analysis | ![]() Product Discovery Assumption Mapping | ![]() 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | High |
Timedifferent | 1-3 h | 30-60 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | ABC Classification, Focus Rules, Control List | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | PrioritizationOperationsPortfolio | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |



