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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a participant using a prototype while an observer takes notes beside a highlighted usability issue.
UX Research
Usability Testing
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.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.When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down.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.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
1-3 h Setup, laufend3-14 Tage1-2 h je SessionMehrere Wochen
Participantsdifferent
150+Based on research question2-6 researchers plus sample
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveSurvey Results, Charts, Segment InsightsUsability Issues, Severity List, RecommendationsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
KnowledgeProductivityOrganization
QuantitativeResearchValidation
ValidationUXPrototype
OutcomesInnovationResearchQuantitative
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