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| Criterion |  Operations ALPEN Method |  Innovation Design Thinking |  Product Discovery Experiment Canvas |  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. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | High |
Timedifferent | 10-20 min daily | 1 Tag bis mehrere Wochen | 30-60 min | 4-5 Tage |
Participantsdifferent | 1 | 4-10 | 1-5 | 5-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Problem Statement, Prototype, Test Learnings | Completed Experiment Canvas, Success Metric | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | PlanningTime managementProductivityOperations | InnovationPrototypeResearch | ExperimentsValidationDiscoveryHypothesis | Design sprintPrototypeValidationInnovation |