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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations PDCA Cycle |  Product Strategy GIST Planning |  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 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. | 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. | 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 | Low | Medium | High |
Timedifferent | Mehrere Wochen | 1 h bis mehrere Wochen | Wochen bis Monate je Goal | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1-8 | 3-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Goals, Idea bank, Step-project list, Tasks, Learning reports | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Continuous improvementLeanExperiments | RoadmapOutcomesPlanningExperiments | InnovationPrototypeResearch |