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| Criterion |  Innovation Design Thinking |  Innovation Double Diamond |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | Wochen bis Monate | 1-2 h | 1-4 Wochen |
Participantsdifferent | 4-10 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | InnovationPrototypeResearch | ProcessDivergenceInnovation | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |