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| Criterion |  Innovation Design Thinking |  Product Strategy DIBB |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|
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. |
Complexitydifferent | High | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | Mehrere Wochen |
Participantsdifferent | 4-10 | 2-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
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 |
Tagsno overlap | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | OutcomesInnovationResearchQuantitative |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
