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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  Operations Failure Mode and Effects Analysis |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 45–90 min | 1-2 Tage | 2-6 h | 30-60 min |
Participantsdifferent | 3-10 | 10-50 | 3-10 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | FMEA Table, Risk Priority, Mitigation Actions | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | RiskQualityOperationsRoot cause | PrioritizationQualityFocusRoot cause |