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| Criterion |  Agile WSJF |  Engineering Failure Scenario Analysis |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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. | 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 | High | Medium | Medium | High |
Timedifferent | 45-90 min | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanEconomicsSequencePrioritization | FailureResilienceRisk | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |