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| Criterion |  UX Research Diary Study |  UX Research Affinity Diagramming |  Systems Thinking Causal Loop Diagram |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-4 Wochen | 45–90 min | 1-3 h | 2-6 h |
Participantsdifferent | 5-20 | 3-10 | 2-8 | 3-10 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Theme clusters, Insight statements, Opportunity areas | Causal Loop Diagram, Feedback Notes, Leverage Points | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | UX researchTrackingBehavior | SynthesisQualitativeRoot cause | FeedbackSystems thinkingCausalityDynamics | CausalityIncidentRoot causeTimeline |