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| Criterion |  Product Discovery Kano Model |  Delivery MoSCoW |  Decision Making Decision Tree |
|---|---|---|---|
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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 30-90 min | 30-90 min |
Participantsdifferent | 10-50 | 3-12 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Prioritized Backlog, Release Scope, Tradeoff Notes | Decision Tree, Option Map, Assumption List |
Tagsno overlap | SatisfactionPrioritizationCustomer | PrioritizationScopeDecision | DecisionTreeOptions |
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