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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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.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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
MediumHighHighHigh
Timedifferent
3-14 TageMehrere Wochen2-6 h2-6 h
Participantsdifferent
50+2-6 researchers plus sample3-83-10
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesCurrent Reality Tree, Core Problems, Intervention IdeasEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
QuantitativeResearchValidation
OutcomesInnovationResearchQuantitative
Systems thinkingRoot causeConstraintsCausality
CausalityIncidentRoot causeTimeline
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