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| Criterion |  Operations ALPEN Method |  Operations Fault Tree Analysis |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | High | High | High |
Timedifferent | 10-20 min daily | 2-6 h | 1-4 Wochen | 2-6 h |
Participantsdifferent | 1 | 3-8 | 1-6 | 3-10 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | PlanningTime managementProductivityOperations | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause |