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| Criterion | ![]() Operations Causal Factor Analysis | ![]() UX Research User Interviews | ![]() Operations Root Cause Analysis | ![]() UX Research Affinity Diagramming |
|---|---|---|---|---|
Purposedifferent | 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 2-6 h | 30–60 min per interview | 1-4 h | 45–90 min |
Participantsdifferent | 3-10 | 1 participant per interview | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Interview Notes, Themes, Insight Summary | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | CausalityIncidentRoot causeTimeline | QualitativeResearchCustomerDiscovery | Root causeProblem solvingQualityIncident | SynthesisQualitativeRoot cause |



