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| Criterion |  Product Discovery Kano Model |  UX Research Affinity Diagramming |  Operations 8D Problem Solving |  Decision Making Pareto Analysis |
|---|---|---|---|---|
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 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. | 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. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Tage | 45–90 min | 1-6 Wochen | 30-60 min |
Participantsdifferent | 10-50 | 3-10 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Theme clusters, Insight statements, Opportunity areas | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SatisfactionPrioritizationCustomer | SynthesisQualitativeRoot cause | QualityProblem solvingRoot cause | PrioritizationQualityFocusRoot cause |