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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Purposedifferent
When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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.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
MediumLowMediumLow
Timedifferent
60-90 min1-2 Tage1-2 Tage30-60 min
Participantsdifferent
2-1010-30Based on research question2-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
RICE Scores, Ranked List, Assumption LogClick Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IAICE Table, Top Idea List
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
UXNavigationFindabilityValidation
Information architectureNavigationFindability
PrioritizationScoringGrowthDecision
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