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| Criterion |  Innovation Design Thinking |  Decision Making Constraint Analysis |  Innovation Design Sprint |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. | 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 | High | Low | High | High |
Timedifferent | 1 Tag bis mehrere Wochen | 30-90 min | 4-5 Tage | Mehrere Wochen |
Participantsdifferent | 4-10 | 2-8 | 5-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Prototype, Test Findings, Decision Rationale | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | InnovationPrototypeResearch | ConstraintsDecisionPlanningOptions | Design sprintPrototypeValidationInnovation | OutcomesInnovationResearchQuantitative |