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| Criterion |  Operations PDCA Cycle |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Product Strategy GIST Planning |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1 Tag bis mehrere Wochen | Mehrere Wochen | Wochen bis Monate je Goal |
Participantsdifferent | 1-8 | 4-10 | 2-6 researchers plus sample | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Goals, Idea bank, Step-project list, Tasks, Learning reports |
Tagsno overlap | Continuous improvementLeanExperiments | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | RoadmapOutcomesPlanningExperiments |