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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Kano Model |  Decision Making Pareto Analysis |  Decision Making Eisenhower Matrix |
|---|---|---|---|---|
Purposedifferent | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. | 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 2-6 h | 1-2 Tage | 30-60 min | 15-30 min |
Participantsdifferent | 2-8 | 10-50 | 1-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Kano Matrix, Feature Classes, Priority Themes | Pareto Chart, Top Causes, Focus List | Eisenhower Matrix, Action List, Delegation Notes |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | SatisfactionPrioritizationCustomer | PrioritizationQualityFocusRoot cause | PrioritizationFocusTasks |