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| Criterion |  Operations ALPEN Method |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Low | High | High | High |
Timedifferent | 10-20 min daily | Mehrere Wochen | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 1 | 2-6 researchers plus sample | 4-10 | 5-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | PlanningTime managementProductivityOperations | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |