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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 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
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
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 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.When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1 Tag bis mehrere Wochen1-2 h je SessionMehrere Wochen4-5 Tage
Participantsdifferent
4-10Based on research question2-6 researchers plus sample5-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Problem Statement, Prototype, Test LearningsUsability Issues, Severity List, RecommendationsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesPrototype, Test Findings, Decision Rationale
Tagsno overlap
InnovationPrototypeResearch
ValidationUXPrototype
OutcomesInnovationResearchQuantitative
Design sprintPrototypeValidationInnovation
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