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| Criterion |  DevOps Game Day |  Operations ALPEN Method |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Halber Tag | 10-20 min daily | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 5-20 | 1 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Daily Plan, Time Estimates, Review Notes | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ResilienceOperationsIncident | PlanningTime managementProductivityOperations | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |