With the rapid expansion of digital platforms and the centrality of online services in everyday life, the issue of protecting users' personal data has become a critical aspect of human-computer interaction. Traditional approaches that reduce data protection to legal compliance and technical security measures have proven insufficient for ensuring genuine user privacy. This has led to the emergence of systematic UX/UI methodologies designed to integrate data protection principles directly into the user experience. The present study introduces an authorial framework – the Privacy-Embedded User Journey (PEUJ) – which unites contextual consent, proactive nudges, transparent data control, and iterative feedback loops. Experimental validation was conducted on three types of digital services (FinTech application, e-commerce platform, and health & fitness tracker), enabling the measurement of informed consent rates, user trust scores, frequency of privacy settings usage, incidence of excessive data sharing, user retention rates, and a composite Privacy-Usability Index (PUI). The findings reveal that the application of the PEUJ framework systematically increases informed consent by 22–35
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