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Selected:Design ThinkingCard SortingUsability TestingOutcome-Driven Innovation
Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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
HighLowMediumHigh
Timedifferent
1 Tag bis mehrere Wochen20-45 min1-2 h je SessionMehrere Wochen
Participantsdifferent
4-10Based on research questionBased on research question2-6 researchers plus sample
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsContent groups, Label set, IA hypothesesUsability Issues, Severity List, RecommendationsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
InnovationPrototypeResearch
Information architectureNavigationStructure
ValidationUXPrototype
OutcomesInnovationResearchQuantitative
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