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| Criterion |  Operations Change Analysis |  Growth Hooked Model |  Operations MORT Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | Medium | Medium | High | High |
Timedifferent | 45-120 min | Multiple workshops over several weeks | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 2-6 | 2-8 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Hooked loop, Trigger map, Reward design, Ethics check | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | GrowthBehaviorRetention | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |