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| Criterion |  Product Strategy Lean Canvas |  Innovation Design Thinking |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 45-90 min | 1 Tag bis mehrere Wochen | 1-2 h |
Participantsdifferent | 1-6 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Problem Statement, Prototype, Test Learnings | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | StartupLeanAssumptionsBusiness model | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis |
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