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| Criterion |  UX Research Personas |  Operations Failure Mode and Effects Analysis |  Decision Making Pareto Analysis |  Operations ABC Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 1-3 Tage | 2-6 h | 30-60 min | 30-60 min |
Participantsdifferent | Internes Team | 3-10 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | FMEA Table, Risk Priority, Mitigation Actions | Pareto Chart, Top Causes, Focus List | ABC Classification, Focus Rules, Control List |
Tagsno overlap | ResearchCustomerSynthesis | RiskQualityOperationsRoot cause | PrioritizationQualityFocusRoot cause | PrioritizationOperationsPortfolio |