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| Criterion |  UX Research HEART Framework |  Engineering Hypothesis-Driven Troubleshooting |  Operations 5 Whys |  Operations Root Cause 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 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 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 | 120 min initial, dann laufend | 30-240 min | 15-30 min | 1-4 h |
Participantsdifferent | 3-6 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | TroubleshootingProblem solvingDiagnosis | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |