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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  Operations Ivy Lee Method |  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. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | 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 | Low | Low |
Timedifferent | 45–90 min | 1-2 Tage | 5-10 min daily | 30-60 min |
Participantsdifferent | 3-10 | 10-50 | 1 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | Daily Priority List, Completion Notes | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | PrioritizationProductivityExecution | PrioritizationQualityFocusRoot cause |