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| Criterion |  Innovation Design Thinking |  Product Strategy DIBB |  Systems Thinking Leverage Points |
|---|---|---|---|
Purposedifferent | 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. | 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 | High | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | Half day |
Participantsdifferent | 4-10 | 2-8 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | DIBB document, Belief list, Bet list, Learning report | Leverage Map, Action Strategy |
Tagsno overlap | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | Systems thinkingChangeStrategy |
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