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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Strategy Impact Mapping |  Decision Making Decision Tree |  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. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Medium | High |
Timedifferent | Mehrere Wochen | 45-90 min | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Impact Map, Outcome Hypotheses, Delivery Options | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | OutcomesStrategyBehaviorPlanning | DecisionTreeOptions | ForecastingExpertsDecisionStrategy |