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| Criterion |  Product Discovery Pretotyping |  Engineering Hypothesis-Driven Troubleshooting |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 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 | Low | Medium | High |
Timedifferent | Stunden bis wenige Tage | 30-240 min | 1-4 Wochen |
Participantsdifferent | 1-4 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationDemandMVP | TroubleshootingProblem solvingDiagnosis | ExperimentsGrowthAnalyticsValidation |
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