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| Criterion |  Product Discovery Kano Model |  Knowledge Modeling Event Modeling |  Operations Root Cause Analysis |  Decision Making Pareto 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. | 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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 1-2 Tage | 2-6 h | 1-4 h | 30-60 min |
Participantsdifferent | 10-50 | 2-8 | 3-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Event Model, UI Flow, Commands, Read Models | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SatisfactionPrioritizationCustomer | EventsBlueprintDomain-Driven DesignBehavior | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |