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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making DACI |  Product Strategy OKRs |  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. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | When strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. | 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 | 30-60 min | 1-2 h Setup | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-10 | 2-20 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | DACI Matrix, Decision Owner, Decision Log | OKR set, Measurement plan, Review cadence | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DecisionRolesGovernanceAlignment | GoalsAlignmentOutcomesMeasurement | InnovationPrototypeResearch |