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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Fishbone Diagram |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | High | Low | High | High |
Timedifferent | Mehrere Wochen | 30-60 min | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 4-10 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Fishbone Diagram, Cause Categories, Investigation Backlog | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causeQualityOperations | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |