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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Kaizen Event |  Operations PDCA Cycle |  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. | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | Mehrere Wochen | 0.5-5 Tage | 1 h bis mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 1-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | LeanContinuous improvementOperations | Continuous improvementLeanExperiments | InnovationPrototypeResearch |