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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
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. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. |
Complexitydifferent | High | High | High | Medium |
Timedifferent | Mehrere Wochen | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen | 1-3 h |
Participantsdifferent | 2-6 researchers plus sample | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 2-8 |
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 | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | FeedbackSystems thinkingCausalityDynamics |