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Criterion
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 of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 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.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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
MediumLowLowMedium
Timedifferent
1-2 h Setup, laufend30–60 min per interview15-45 min1-5 Tage
Participantsdifferent
2-61 participant per interview1-3Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Opportunity Solution Tree, Experiment Backlog, Learning LogInterview Notes, Themes, Insight SummaryADR File, Decision Log, RationaleClick Data, Interest Signal, Learning Decision
Tagsno overlap
DiscoveryOutcomesExperimentsOpportunity
QualitativeResearchCustomerDiscovery
ArchitectureRationaleDocumentationGovernance
ValidationExperimentsDemandDiscovery
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