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| Criterion |  Engineering Failure Scenario Analysis |  Operations Time Blocking |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-3 h | 15-30 min Planung, laufend | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 1 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Blocked Calendar, Capacity View, Focus Plan | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | FailureResilienceRisk | PlanningTime managementFocus | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |