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| Criterion |  Systems Thinking Future Reality Tree |  Systems Thinking Systems Mapping |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 2-4 h | 1-3 h | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 3-8 | 3-12 | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | System Map, Dependencies, Leverage Points | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | Systems thinkingMappingBoundariesChange | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |