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| Criterion |  Innovation Design Thinking |  Product Strategy DIBB |  Decision Making Delphi Method |  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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | 1-4 Wochen | 4-5 Tage |
Participantsdifferent | 4-10 | 2-8 | 6-30 Experten | 5-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | InnovationPrototypeResearch | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | Design sprintPrototypeValidationInnovation |