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| Criterion |  UX Research HEART Framework |  Operations 5 Whys |  Engineering Hypothesis-Driven Troubleshooting |  Operations A3 Problem Solving |
|---|---|---|---|---|
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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 120 min initial, dann laufend | 15-30 min | 30-240 min | 45-90 min |
Participantsdifferent | 3-6 | 2-6 | 1-6 | 2-5 |
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 | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Root causeIncidentLeanProblem solving | TroubleshootingProblem solvingDiagnosis | LeanProblem solvingCoachingOperations |