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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Operations ALPEN Method |  Product Strategy Impact Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 10-20 min daily | 45-90 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 1 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Daily Plan, Time Estimates, Review Notes | Impact Map, Outcome Hypotheses, Delivery Options |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | PlanningTime managementProductivityOperations | OutcomesStrategyBehaviorPlanning |