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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Facilitation Dot Voting |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
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. | 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. | When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 5-15 min | 60-120 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 3-20 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Ranked list, Consensus signal, Shortlist | Opportunity Score Table, Top Outcomes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | FacilitationVotingConsensusPrioritization | PrioritizationDiscoveryOutcomesNeeds |