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| Criterion |  Operations Change Analysis |  Innovation Lean Startup |  Engineering Hypothesis-Driven Troubleshooting |  Operations A3 Problem Solving |
|---|---|---|---|---|
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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-120 min | Wochen bis Monate je Lernzyklus | 30-240 min | 45-90 min |
Participantsdifferent | 2-6 | 2-8 | 1-6 | 2-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | LeanStartupValidationMVP | TroubleshootingProblem solvingDiagnosis | LeanProblem solvingCoachingOperations |