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Criterion
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
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
Purposedifferent
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
15-45 min1-3 Tage1-2 h Setup, laufend30–60 min per interview
Participantsdifferent
1-3Internes Team2-61 participant per interview
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
ADR File, Decision Log, RationalePersona Profiles, Needs Summary, Scenario NotesOpportunity Solution Tree, Experiment Backlog, Learning LogInterview Notes, Themes, Insight Summary
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
ResearchCustomerSynthesis
DiscoveryOutcomesExperimentsOpportunity
QualitativeResearchCustomerDiscovery
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