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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Product Discovery Opportunity Solution Tree |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | High | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Opportunity Solution Tree, Experiment Backlog, Learning Log | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandDiscovery |