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Criterion
Paper illustration for Solution Interview
Product Discovery
Solution Interview
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Surveys method illustration showing its working structure
UX Research
Surveys
Purposedifferent
When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation.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 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.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
MediumHighHighMedium
Timedifferent
30-60 min je InterviewMehrere Wochen2-4 h3-14 Tage
Participantsdifferent
5-10 Interviews2-6 researchers plus sample3-850+
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Solution Feedback, Objection List, Validation NotesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsSurvey Results, Charts, Segment Insights
Tagsno overlap
ValidationInterviewsPrototype
OutcomesInnovationResearchQuantitative
Theory of ConstraintsSystems thinkingChange
QuantitativeResearchValidation
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