Evino App
Overview
This final stage of the Evino App case study presents a data-driven UX solution designed to simplify wine discovery for non-experts. Developed as part of the Hands-on UX Writing course at The Starter – Advanced UX Courses, this step focuses on translating research insights into actionable features, visual patterns, and decision-making flows.
Built in Figma, the solution addresses core user needs such as personalized recommendations, sensory immersion, and accessible expert tips. From color-coded wine categories to low-friction pairing filters, every design decision is grounded in user behavior and business priorities. The result is a product experience that goes beyond e-commerce—making wine selection intuitive, informative, and enjoyable.
Keywords : Figma, Product Design, Wine Marketplace, Data-Driven UX/UI.
