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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
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. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | 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 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. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Wochen | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 5-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Simulation Model, Scenario Reports | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |