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| Criterion |  Innovation Design Thinking |  Product Discovery Opportunity Interview |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | 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 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. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min je Interview | Mehrere Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 4-10 | 5-12 Interviews | 2-6 researchers plus sample | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Interview Notes, Opportunity Themes, Customer Quotes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | InnovationPrototypeResearch | DiscoveryInterviewsOpportunityCustomer | OutcomesInnovationResearchQuantitative | DiscoveryOutcomesExperimentsOpportunity |