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| Criterion |  Decision Making Pareto Analysis |  UX Research Personas |  Operations Root Cause Analysis |  UX Research Affinity Diagramming |
|---|---|---|---|---|
Purposedifferent | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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 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 | Low | Medium | Medium | Low |
Timedifferent | 30-60 min | 1-3 Tage | 1-4 h | 45–90 min |
Participantsdifferent | 1-6 | Internes Team | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Persona Profiles, Needs Summary, Scenario Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | PrioritizationQualityFocusRoot cause | ResearchCustomerSynthesis | Root causeProblem solvingQualityIncident | SynthesisQualitativeRoot cause |