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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  Operations MORT Analysis |  Innovation Design Thinking |
|---|---|---|---|---|
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 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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Wochen | 4-5 Tage | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 5-8 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | Root causeSafetySystemicIncident | InnovationPrototypeResearch |