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| Criterion | ![]() Product Discovery Pretotyping | ![]() UX Research Surveys | ![]() Innovation Lean Startup | ![]() Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | Stunden bis wenige Tage | 3-14 Tage | Wochen bis Monate je Lernzyklus | Mehrere Wochen |
Participantsdifferent | 1-4 | 50+ | 2-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Survey Results, Charts, Segment Insights | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | ValidationDemandMVP | QuantitativeResearchValidation | LeanStartupValidationMVP | OutcomesInnovationResearchQuantitative |



