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| Criterion |  Innovation Double Diamond |  Innovation Design Sprint |  Systems Thinking Future Reality Tree |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Wochen bis Monate | 4-5 Tage | 2-4 h | 1 Tag bis mehrere Wochen |
Participantsdifferent | 3-12 | 5-8 | 3-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Prototype, Test Findings, Decision Rationale | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ProcessDivergenceInnovation | Design sprintPrototypeValidationInnovation | Theory of ConstraintsSystems thinkingChange | InnovationPrototypeResearch |