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| Criterion |  Product Discovery Kano Model |  UX Research Personas |  Decision Making Pareto Analysis |  Operations 8D Problem Solving |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-2 Tage | 1-3 Tage | 30-60 min | 1-6 Wochen |
Participantsdifferent | 10-50 | Internes Team | 1-6 | 4-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Persona Profiles, Needs Summary, Scenario Notes | Pareto Chart, Top Causes, Focus List | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | SatisfactionPrioritizationCustomer | ResearchCustomerSynthesis | PrioritizationQualityFocusRoot cause | QualityProblem solvingRoot cause |