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| Criterion |  Product Discovery Opportunity Interview |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 30-60 min je Interview | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 5-12 Interviews | 2-6 researchers plus sample | 4-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | DiscoveryOutcomesExperimentsOpportunity |