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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Problem Interview |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 60-120 min | 30-60 min je Interview | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 3-6 | 5-12 Interviews | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Problem Evidence, Risk Notes, Customer Segments | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | DiscoveryInterviewsValidation | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |