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| Criterion |  Innovation Double Diamond |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |  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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Low | High |
Timedifferent | Wochen bis Monate | 2-4 h | 1-2 h | Half day |
Participantsdifferent | 3-12 | 3-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report | Leverage Map, Action Strategy |
Tagsno overlap | ProcessDivergenceInnovation | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis | Systems thinkingChangeStrategy |