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| Criterion |  Operations ALPEN Method |  Product Discovery Opportunity Solution Tree |  Innovation Design Thinking |
|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Low | Medium | High |
Timedifferent | 10-20 min daily | 1-2 h Setup, laufend | 1 Tag bis mehrere Wochen |
Participantsdifferent | 1 | 2-6 | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | PlanningTime managementProductivityOperations | DiscoveryOutcomesExperimentsOpportunity | InnovationPrototypeResearch |
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