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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
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 for Future Reality Tree.
Systems Thinking
Future Reality Tree
Purposedifferent
Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-3 hMehrere Wochen3-14 Tage2-4 h
Participantsdifferent
3-122-6 researchers plus sample50+3-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
System Map, Dependencies, Leverage PointsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesSurvey Results, Charts, Segment InsightsFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
Systems thinkingMappingBoundariesChange
OutcomesInnovationResearchQuantitative
QuantitativeResearchValidation
Theory of ConstraintsSystems thinkingChange
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