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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations A3 Problem Solving |  Operations ALPEN Method |  Innovation Design Thinking |
|---|---|---|---|---|
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 a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | Mehrere Wochen | 45-90 min | 10-20 min daily | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-5 | 1 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | A3 Report, Action Plan, Root Cause Analysis | Daily Plan, Time Estimates, Review Notes | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | LeanProblem solvingCoachingOperations | PlanningTime managementProductivityOperations | InnovationPrototypeResearch |