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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Smoke Test |  Business Strategy Value Chain Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 30-240 min | 1-5 Tage | Half day | 1-4 Wochen |
Participantsdifferent | 1-6 | Nutzertraffic | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Interest Metrics, Conversion Signal, Learning Note | Value Chain Map, Lever List | Experiment results, Decision log, Learning summary |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ValidationExperimentsDemandGrowth | StrategyBusiness modelDiagnosisAnalysis | ExperimentsGrowthAnalyticsValidation |