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| Criterion |  Innovation Double Diamond |  Systems Thinking Future Reality Tree |  Growth A/B Testing |  Innovation Design Sprint |
|---|---|---|---|---|
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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Wochen bis Monate | 2-4 h | 1-4 Wochen | 4-5 Tage |
Participantsdifferent | 3-12 | 3-8 | 1-6 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ProcessDivergenceInnovation | Theory of ConstraintsSystems thinkingChange | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation |