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| Criterion |  Operations ALPEN Method |  Engineering Golden Path |  Innovation Design Thinking |  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. | 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. | 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. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 10-20 min daily | 1-3 Tage Setup, laufend | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 1 | 2-8 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Golden Path Guide, Templates, Quality Checks | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PlanningTime managementProductivityOperations | EngineeringProductivityGovernance | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |