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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Causal Loop Diagram |  Innovation Design Sprint |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Mehrere Wochen | 1-3 h | 4-5 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 5-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points | Prototype, Test Findings, Decision Rationale | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics | Design sprintPrototypeValidationInnovation | InnovationPrototypeResearch |