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Criterion
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
LowLowLowMedium
Timedifferent
30–60 min per interview30-90 min30-60 min30-90 min
Participantsdifferent
1 participant per interview2-82-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Interview Notes, Themes, Insight SummaryConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesICE Table, Top Idea ListDecision Tree, Option Map, Assumption List
Tagsno overlap
QualitativeResearchCustomerDiscovery
ConstraintsDecisionPlanningOptions
PrioritizationScoringGrowthDecision
DecisionTreeOptions
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