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| Criterion |  Knowledge Modeling Feynman Technique |  DevOps Game Day |  Operations Causal Factor Analysis |  Operations Learning Review |
|---|---|---|---|---|
Purposedifferent | The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | 20-60 min | Halber Tag | 2-6 h | 1-3 h |
Participantsdifferent | 1 | 5-20 | 3-10 | 3-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Simulation Notes, Gaps List, Updated Runbooks | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Learning Review Notes, System Factors, Improvement Actions |
Tagsno overlap | LearningKnowledgeUnderstanding | ResilienceOperationsIncident | CausalityIncidentRoot causeTimeline | LearningRetrospectiveIncidentOperations |