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| Criterion |  Operations ABC Analysis |  Product Discovery Kano Model |  Product Discovery Outcome-Driven Innovation |  UX Research Personas |
|---|---|---|---|---|
Purposedifferent | 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. | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 30-60 min | 1-2 Tage | Mehrere Wochen | 1-3 Tage |
Participantsdifferent | 1-5 | 10-50 | 2-6 researchers plus sample | Internes Team |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Kano Matrix, Feature Classes, Priority Themes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | PrioritizationOperationsPortfolio | SatisfactionPrioritizationCustomer | OutcomesInnovationResearchQuantitative | ResearchCustomerSynthesis |