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| Criterion |  Innovation Design Thinking |  Product Strategy DIBB |  Product Discovery Assumption Mapping |  Innovation Design Sprint |
|---|---|---|---|---|
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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | 45-60 min | 4-5 Tage |
Participantsdifferent | 4-10 | 2-8 | 2-8 | 5-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation | Design sprintPrototypeValidationInnovation |