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| Criterion |  Innovation Double Diamond |  Systems Thinking Future Reality Tree |  Innovation Design Thinking |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Wochen bis Monate | 2-4 h | 1 Tag bis mehrere Wochen | Half day |
Participantsdifferent | 3-12 | 3-8 | 4-10 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Problem Statement, Prototype, Test Learnings | Leverage Map, Action Strategy |
Tagsno overlap | ProcessDivergenceInnovation | Theory of ConstraintsSystems thinkingChange | InnovationPrototypeResearch | Systems thinkingChangeStrategy |