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| Criterion |  Innovation Design Sprint |  Engineering Golden Path |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. | 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 | Medium | High | High |
Timedifferent | 4-5 Tage | 1-3 Tage Setup, laufend | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-8 | 2-8 | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Golden Path Guide, Templates, Quality Checks | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Design sprintPrototypeValidationInnovation | EngineeringProductivityGovernance | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |