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| Criterion |  Innovation Design Thinking |  Operations ABC Analysis |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 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. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min | Mehrere Wochen | 60-120 min |
Participantsdifferent | 4-10 | 1-5 | 2-6 researchers plus sample | 3-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | ABC Classification, Focus Rules, Control List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Opportunity Score Table, Top Outcomes |
Tagsno overlap | InnovationPrototypeResearch | PrioritizationOperationsPortfolio | OutcomesInnovationResearchQuantitative | PrioritizationDiscoveryOutcomesNeeds |