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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 with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowHighLowMedium
Timedifferent
30–60 min per interviewPreparation, scenario analysis, and findings review; effort depends on scope30-60 min1-5 Tage
Participantsdifferent
1 participant per interviewArchitecture experts and stakeholders for scenarios and weighting1-5Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Interview Notes, Themes, Insight SummaryDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesCompleted Experiment Canvas, Success MetricClick Data, Interest Signal, Learning Decision
Tagsno overlap
QualitativeResearchCustomerDiscovery
ArchitectureChangeAnalysisComparisonQuality
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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