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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Solution Tree |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1-2 h Setup, laufend | 60-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Opportunity Solution Tree, Experiment Backlog, Learning Log | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DiscoveryOutcomesExperimentsOpportunity | ExperimentsPrioritizationDiscoveryHypothesis |
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