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| Criterion |  Operations ALPEN Method |  Innovation Design Thinking |  Product Discovery Solution Interview |  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 a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | 30-60 min je Interview | Mehrere Wochen |
Participantsdifferent | 1 | 4-10 | 5-10 Interviews | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Problem Statement, Prototype, Test Learnings | Solution Feedback, Objection List, Validation Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PlanningTime managementProductivityOperations | InnovationPrototypeResearch | ValidationInterviewsPrototype | OutcomesInnovationResearchQuantitative |