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| Criterion |  Operations ALPEN Method |  Innovation Design Thinking |  Engineering Golden Path |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 10-20 min daily | 1 Tag bis mehrere Wochen | 1-3 Tage Setup, laufend | Mehrere Wochen |
Participantsdifferent | 1 | 4-10 | 2-8 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Problem Statement, Prototype, Test Learnings | Golden Path Guide, Templates, Quality Checks | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PlanningTime managementProductivityOperations | InnovationPrototypeResearch | EngineeringProductivityGovernance | OutcomesInnovationResearchQuantitative |