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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Systems Thinking Stock and Flow Diagram |  Systems Thinking System Dynamics Simulation |
|---|---|---|---|---|
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. | A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 2-6 h | Mehrere Tage bis Wochen |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 1-6 | 1-5 Modellierende, Stakeholder asynchron |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Stock and Flow Model, Dynamics Notes, Simulation Hypotheses | Simulation Model, Scenario Reports |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | DynamicsSimulationFeedbackSystems thinking | Systems thinkingDynamicsSimulationAnalysis |