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| Criterion | ![]() UX Research Personas | ![]() UX Research Empathy Mapping | ![]() Architecture ATAM (Architecture Tradeoff Analysis Method) | ![]() UX Research User Interviews |
|---|---|---|---|---|
Purposedifferent | 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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation. | 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 | Medium | Low | High | Low |
Timedifferent | 1-3 Tage | 30–60 min | Several meetings plus preparation and analysis; total effort depends on scope | 30–60 min per interview |
Participantsdifferent | Internes Team | 4-8 | Evaluation team, architects, and relevant stakeholders | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Empathy Map, Assumptions List, Research Gaps | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Interview Notes, Themes, Insight Summary |
Tagsno overlap | ResearchCustomerSynthesis | SynthesisQualitativeWorkshop | ArchitectureQualityRiskTradeoffsStakeholders | QualitativeResearchCustomerDiscovery |



