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| Criterion |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Engineering Goal Question Metric |  Product Strategy OKRs |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | When strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | Mehrere Wochen | 90-180 min | 1-2 h Setup |
Participantsdifferent | 4-10 | 2-6 researchers plus sample | 3-6 | 2-20 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | GQM Table, Metric Profiles | OKR set, Measurement plan, Review cadence |
Tagsno overlap | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | MetricsMeasurementEngineeringAlignment | GoalsAlignmentOutcomesMeasurement |