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| Criterion | ![]() Knowledge Modeling Feynman Technique | ![]() DevOps Game Day | ![]() DevOps Incident Timeline Analysis | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
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 incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 20-60 min | Halber Tag | 60-180 min | 2-6 h |
Participantsdifferent | 1 | 5-20 | 3-10 | 3-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Plain-language Explanation, Knowledge Gaps, Study Notes | Simulation Notes, Gaps List, Updated Runbooks | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | LearningKnowledgeUnderstanding | ResilienceOperationsIncident | IncidentTimelineSite Reliability Engineering | CausalityIncidentRoot causeTimeline |



