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| Criterion |  Product Discovery Kano Model |  Operations Causal Factor Analysis |  Operations Root Cause Tree 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-2 Tage | 2-6 h | 1-3 h |
Participantsdifferent | 10-50 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | SatisfactionPrioritizationCustomer | CausalityIncidentRoot causeTimeline | Root causeTreeIncidentQuality |
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