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| Criterion |  UX Research HEART Framework |  Operations 5 Whys |  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. | 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 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 120 min initial, dann laufend | 15-30 min | 30-240 min | 2-4 h |
Participantsdifferent | 3-6 | 2-6 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Root cause notes, Countermeasures | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Root causeIncidentLeanProblem solving | TroubleshootingProblem solvingDiagnosis | Root causeSafetyIncident |