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| Criterion |  Operations Root Cause Tree Analysis |  UX Research Personas |  UX Research Affinity Diagramming |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | 1-3 Tage | 45–90 min | 1-4 h |
Participantsdifferent | 2-8 | Internes Team | 3-10 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Persona Profiles, Needs Summary, Scenario Notes | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeTreeIncidentQuality | ResearchCustomerSynthesis | SynthesisQualitativeRoot cause | Root causeProblem solvingQualityIncident |