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Selected:Tree TestingOutcome-Driven InnovationCard SortingDesign Thinking
Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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
Purposedifferent
When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.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 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.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.
Complexitydifferent
MediumHighLowHigh
Timedifferent
1-2 TageMehrere Wochen20-45 min1 Tag bis mehrere Wochen
Participantsdifferent
Based on research question2-6 researchers plus sampleBased on research question4-10
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Findability Metrics, Path Analysis, Revised IADesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesContent groups, Label set, IA hypothesesProblem Statement, Prototype, Test Learnings
Tagsno overlap
Information architectureNavigationFindability
OutcomesInnovationResearchQuantitative
Information architectureNavigationStructure
InnovationPrototypeResearch
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