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| Criterion |  UX Research HEART Framework |  Operations Root Cause Analysis |  Engineering Hypothesis-Driven Troubleshooting |  Operations Barrier Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 120 min initial, dann laufend | 1-4 h | 30-240 min | 2-4 h |
Participantsdifferent | 3-6 | 3-8 | 1-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Root causeProblem solvingQualityIncident | TroubleshootingProblem solvingDiagnosis | Root causeSafetyIncident |