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| Criterion |  Product Discovery Pretotyping |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. | 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. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | Stunden bis wenige Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen | 1-5 Tage |
Participantsdifferent | 1-4 | 4-10 | 2-6 researchers plus sample | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | ValidationExperimentsDemandDiscovery |