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| Criterion |  Engineering Golden Path |  Product Discovery Outcome-Driven Innovation |  Decision Making DACI |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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. | 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 | Medium | High | Low | High |
Timedifferent | 1-3 Tage Setup, laufend | Mehrere Wochen | 30-60 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 2-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | DACI Matrix, Decision Owner, Decision Log | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | EngineeringProductivityGovernance | OutcomesInnovationResearchQuantitative | DecisionRolesGovernanceAlignment | InnovationPrototypeResearch |