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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Operations Gemba Walk |  Operations Kaizen Event |
|---|---|---|---|---|
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. | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 30-120 min | 0.5-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Observation Notes, Improvement Ideas | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | LeanObservationProcessOperations | LeanContinuous improvementOperations |