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| Criterion |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Causal Loop Diagram |  Systems Thinking Stock and Flow Diagram |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | Mehrere Wochen | 1-3 h | 2-6 h |
Participantsdifferent | 4-10 | 2-6 researchers plus sample | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points | Stock and Flow Model, Dynamics Notes, Simulation Hypotheses |
Tagsno overlap | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics | DynamicsSimulationFeedbackSystems thinking |