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| Criterion |  Innovation Double Diamond |  Product Strategy Value Proposition Canvas |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | When the value proposition and customer expectation drift apart, it makes fit and mismatch legible. It shows where offering and need don't yet come together. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | Wochen bis Monate | 1-2 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-12 | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Value Proposition Canvas, Fit Gaps, Hypotheses | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ProcessDivergenceInnovation | ValueNeedsStrategy | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |