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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Surveys method illustration showing its working structure
UX Research
Surveys
Purposedifferent
For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
Wochen bis Monate je LernzyklusMehrere Wochen45-60 min3-14 Tage
Participantsdifferent
2-82-6 researchers plus sample2-850+
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesAssumption map, Test backlog, Risk rankingSurvey Results, Charts, Segment Insights
Tagsno overlap
LeanStartupValidationMVP
OutcomesInnovationResearchQuantitative
AssumptionsRiskExperimentsValidation
QuantitativeResearchValidation
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