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Criterion
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 a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Purposedifferent
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.When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.
Complexitydifferent
MediumLowHighLow
Timedifferent
1-2 h je Session30-60 min1-4 Wochen30-60 min
Participantsdifferent
Based on research question3-101-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Usability Issues, Severity List, RecommendationsRisk Matrix, Top Risk ListExperiment results, Decision log, Learning summaryICE Table, Top Idea List
Tagsno overlap
ValidationUXPrototype
RiskDecisionPrioritizationAssessment
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
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