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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of Barrier Analysis with its method-specific working model.
Operations
Barrier Analysis
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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.For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions.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.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
HighMediumMediumHigh
Timedifferent
Mehrere Wochen2-4 h3-14 Tage2-6 h
Participantsdifferent
2-6 researchers plus sample2-650+3-10
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesBarrier Inventory, Failure Analysis per Barrier, Action BacklogSurvey Results, Charts, Segment InsightsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
OutcomesInnovationResearchQuantitative
Root causeSafetyIncident
QuantitativeResearchValidation
CausalityIncidentRoot causeTimeline
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