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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 of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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.
Complexitydifferent
LowMediumLow
Timedifferent
30–60 min per interview1-2 h Setup, laufend30-90 min
Participantsdifferent
1 participant per interview2-62-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Interview Notes, Themes, Insight SummaryOpportunity Solution Tree, Experiment Backlog, Learning LogConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
QualitativeResearchCustomerDiscovery
DiscoveryOutcomesExperimentsOpportunity
ConstraintsDecisionPlanningOptions
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Opportunity Interview
Product Discovery
Opportunity Interview
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing