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| Criterion |  UX Research Affinity Diagramming |  Systems Thinking Causal Loop Diagram |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | 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 a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 45–90 min | 1-3 h | 2-6 h | 15-30 min |
Participantsdifferent | 3-10 | 2-8 | 3-10 | 2-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Causal Loop Diagram, Feedback Notes, Leverage Points | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | FeedbackSystems thinkingCausalityDynamics | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |