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| Criterion |  Operations Change Analysis |  Innovation Design Thinking |  Engineering Hypothesis-Driven Troubleshooting |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 45-120 min | 1 Tag bis mehrere Wochen | 30-240 min | 15-30 min |
Participantsdifferent | 2-6 | 4-10 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Prototype, Test Learnings | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Root cause notes, Countermeasures |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | InnovationPrototypeResearch | TroubleshootingProblem solvingDiagnosis | Root causeIncidentLeanProblem solving |