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| Criterion | ![]() UX Design Lean UX Canvas | ![]() Innovation Design Thinking | ![]() Product Strategy DIBB | ![]() Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | 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 | Medium | High | Low | High |
Timedifferent | 2-3 h | 1 Tag bis mehrere Wochen | 1-2 h | Mehrere Wochen |
Participantsdifferent | 3-8 | 4-10 | 2-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Completed Lean UX Canvas, Hypothesis list, First experiment | 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 | CanvasHypothesisOutcomesDiscovery | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | OutcomesInnovationResearchQuantitative |



