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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations PDCA Cycle |  Product Discovery Opportunity Solution Tree |  Product Strategy GIST Planning |
|---|---|---|---|---|
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. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | High | Low | Medium | Medium |
Timedifferent | Mehrere Wochen | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | Wochen bis Monate je Goal |
Participantsdifferent | 2-6 researchers plus sample | 1-8 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Opportunity Solution Tree, Experiment Backlog, Learning Log | Goals, Idea bank, Step-project list, Tasks, Learning reports |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity | RoadmapOutcomesPlanningExperiments |