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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Business Strategy VRIO Framework |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | The VRIO Framework rates resources and capabilities on whether they are Valuable, Rare, Inimitable, and Organized. It compares strengths, risks, market logic, and courses of action. The result is captured as a VRIO table and strategic actions. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-240 min | 90-180 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-6 | 3-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | VRIO Table, Strategic Actions | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyDiagnosisBusiness modelCapability | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |