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| Criterion |  Architecture LASR (Lightweight Approach for Software Reviews) |  UX Research Personas |  UX Research User Interviews |  UX Research Empathy Mapping |
|---|---|---|---|---|
Purposedifferent | LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail. | 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 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 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 3–4 h for initial assessment; preparation and deeper analysis additional | 1-3 Tage | 30–60 min per interview | 30–60 min |
Participantsdifferent | 1 or a small team; particularly suitable for 3–4 people | Internes Team | 1 participant per interview | 4-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Lean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks | Persona Profiles, Needs Summary, Scenario Notes | Interview Notes, Themes, Insight Summary | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | ArchitectureQualityRiskAssessmentLean | ResearchCustomerSynthesis | QualitativeResearchCustomerDiscovery | SynthesisQualitativeWorkshop |