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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Kano Model | ![]() Operations ABC Analysis | ![]() Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | 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. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 45–90 min | 1-2 Tage | 30-60 min | 2-8 h |
Participantsdifferent | 3-10 | 10-50 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | ABC Classification, Focus Rules, Control List | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | PrioritizationOperationsPortfolio | Problem solvingRoot causeDecisionOperations |



