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| Criterion |  Product Discovery Kano Model |  DevOps Blameless Postmortem |  Operations Causal Factor Analysis |  DevOps Incident Timeline Analysis |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-2 Tage | 30-90 min | 2-6 h | 60-180 min |
Participantsdifferent | 10-50 | 3-12 | 3-10 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Postmortem Doc, Action Items, Timeline | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions |
Tagsno overlap | SatisfactionPrioritizationCustomer | Site Reliability EngineeringIncidentLearningReliability | CausalityIncidentRoot causeTimeline | IncidentTimelineSite Reliability Engineering |