View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Systems Thinking System Dynamics Simulation |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Current Reality Tree |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
Purposedifferent | 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. | 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 Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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 Tage bis Wochen | Mehrere Wochen | 2-6 h | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-6 researchers plus sample | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Current Reality Tree, Core Problems, Intervention Ideas | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | OutcomesInnovationResearchQuantitative | Systems thinkingRoot causeConstraintsCausality | FeedbackSystems thinkingCausalityDynamics |