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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
Mehrere Wochen3-14 Tage1-2 Wochen pro Iteration1-5 Tage
Participantsdifferent
2-6 researchers plus sample50+2-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesSurvey Results, Charts, Segment InsightsPrioritized Assumption List, Test Plan, Results ReportClick Data, Interest Signal, Learning Decision
Tagsno overlap
OutcomesInnovationResearchQuantitative
QuantitativeResearchValidation
ExperimentsValidationDiscoveryAssumptions
ValidationExperimentsDemandDiscovery
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