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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Operations PDCA Cycle | ![]() Product Discovery Opportunity Solution Tree |
|---|---|---|---|
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. |
Complexitydifferent | High | Low | Medium |
Timedifferent | Mehrere Wochen | 1 h bis mehrere Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 researchers plus sample | 1-8 | 2-6 |
Formatsame | 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 |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Continuous improvementLeanExperiments | DiscoveryOutcomesExperimentsOpportunity |
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