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| Criterion | ![]() Product Discovery Pretotyping | ![]() Innovation Lean Startup | ![]() Product Strategy DIBB |
|---|---|---|---|
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. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | Stunden bis wenige Tage | Wochen bis Monate je Lernzyklus | 1-2 h |
Participantsdifferent | 1-4 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ValidationDemandMVP | LeanStartupValidationMVP | StrategyDecisionAssumptionsHypothesis |
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