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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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
3-14 TageMehrere Wochen1-3 h2-6 h
Participantsdifferent
50+2-6 researchers plus sample2-83-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesCausal Loop Diagram, Feedback Notes, Leverage PointsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
QuantitativeResearchValidation
OutcomesInnovationResearchQuantitative
FeedbackSystems thinkingCausalityDynamics
Systems thinkingRoot causeConstraintsCausality
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