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| Criterion |  Product Discovery Pretotyping |  Engineering Hypothesis-Driven Troubleshooting |  Innovation Lean Startup |  Operations 5 Whys |
|---|---|---|---|---|
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. | 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. | 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 | Low | Medium | Medium | Low |
Timedifferent | Stunden bis wenige Tage | 30-240 min | Wochen bis Monate je Lernzyklus | 15-30 min |
Participantsdifferent | 1-4 | 1-6 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Root cause notes, Countermeasures |
Tagsno overlap | ValidationDemandMVP | TroubleshootingProblem solvingDiagnosis | LeanStartupValidationMVP | Root causeIncidentLeanProblem solving |