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| Criterion |  Engineering Failure Scenario Analysis |  Product Discovery Assumption Mapping |  Decision Making Red Teaming |  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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments. | 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 | High | High |
Timedifferent | 1-3 h | 45-60 min | 1-4 h | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption map, Test backlog, Risk ranking | Challenge Findings, Risk Register, Mitigation Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | AssumptionsRiskExperimentsValidation | RiskDecisionSensemaking | ExperimentsGrowthAnalyticsValidation |