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| Criterion |  Innovation Design Thinking |  Product Strategy DIBB |  Product Discovery Outcome-Driven Innovation |  Business Strategy Blue Ocean Strategy Canvas |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | The Blue Ocean Strategy Canvas shows how an offering is positioned relative to the market. Differentiation thereby becomes tangible in value factors instead of merely being claimed. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | Mehrere Wochen | 2-4 h |
Participantsdifferent | 4-10 | 2-8 | 2-6 researchers plus sample | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | DIBB document, Belief list, Bet list, Learning report | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Strategy Canvas, Value Curve, ERRC Actions |
Tagsno overlap | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | OutcomesInnovationResearchQuantitative | StrategyPositioningInnovationValue |