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| Criterion | ![]() UX Research Customer Journey Mapping | ![]() UX Research Affinity Diagramming | ![]() Systems Thinking Causal Loop Diagram | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | 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 | 2-4 h | 45–90 min | 1-3 h | 2-6 h |
Participantsdifferent | 4-10 | 3-10 | 2-8 | 3-10 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Theme clusters, Insight statements, Opportunity areas | Causal Loop Diagram, Feedback Notes, Leverage Points | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | JourneyServiceService design | SynthesisQualitativeRoot cause | FeedbackSystems thinkingCausalityDynamics | CausalityIncidentRoot causeTimeline |



