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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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 for Trade-off Analysis.
Decision Making
Trade-off Analysis
Purposedifferent
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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
3-14 Tage45-90 min1 Tag bis mehrere Wochen45-120 min
Participantsdifferent
50+2-84-102-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsDecision Matrix, Scoring Rationale, Selected OptionProblem Statement, Prototype, Test LearningsTrade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides
Tagsno overlap
QuantitativeResearchValidation
DecisionCriteriaScoringTradeoffs
InnovationPrototypeResearch
TradeoffsDecisionCriteriaOptions
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