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| Criterion |  Product Discovery Kano Model |  UX Research HEART Framework |  Operations 5 Whys |  Operations Root Cause 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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 120 min initial, dann laufend | 15-30 min | 1-4 h |
Participantsdifferent | 10-50 | 3-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | HEART-GSM Table, Dashboard | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | SatisfactionPrioritizationCustomer | MetricsUX researchMeasurementSatisfaction | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |