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| Criterion |  Engineering Failure Scenario Analysis |  Engineering Kanban |  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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 |
Timedifferent | 1-3 h | Ongoing | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-12 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Kanban board, WIP policies, Flow metrics | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | FlowVisual managementDelivery | ExperimentsGrowthAnalyticsValidation |
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