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| Criterion |  Knowledge Modeling Feynman Technique |  DevOps Game Day |  Operations Causal Factor Analysis |  Operations After-Action 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 missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 20-60 min | Halber Tag | 2-6 h | 20-45 min |
Participantsdifferent | 1 | 5-20 | 3-10 | 3-12 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Simulation Notes, Gaps List, Updated Runbooks | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Lessons learned, Action items, Event summary |
Tagsno overlap | LearningKnowledgeUnderstanding | ResilienceOperationsIncident | CausalityIncidentRoot causeTimeline | LearningOperationsImprovement |