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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|
Purposedifferent | 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. | 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 | Low | High |
Timedifferent | Mehrere Wochen | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
