Hi, I’m Connie Tang, a UX/UI designer and product designer with a passion for research-driven, inclusive design. I combine user research, information architecture, journey mapping, and typography to create clear, accessible interfaces for mobile and web products. I enjoy turning complex problems into elegant, user-centered solutions and collaborating with UI, development, and QA teams to ship polished prototypes and user-friendly experiences.
I’ve designed an inclusive medication-management system for older adults, bridging the digital divide with a user-friendly pillbox and mobile app. I’ve leveraged tools like ChatGPT to refine research questions, rapidly identify scenarios, and synthesize qualitative insights, and I’ve delivered high-fidelity prototypes in Figma and Cinema 4D workflows. I’ve led product initiatives, created internal docs and end-user guides, and coordinated with cross-functional teams to ensure successful delivery, including a multi-end SaaS education system for Chinese schools.
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Designed a unified platform to streamline smart device control and eliminate frustration caused by fragmented apps.
Conducted interviews and surveys to uncover user pain points, using empathy and journey mapping to guide intuitive user flows.
Delivered high-fidelity prototypes that enhanced control efficiency and reduced cognitive load, validated through positive usability testing.
Designed an inclusive medication management system for older adults, combining a user-friendly pillbox and mobile app to bridge the digital divide.
Leveraged ChatGPT for research problem definition, scale identification, questionnaire refinement, and qualitative analysis, streamlining methodology development and insight synthesis.
Conducted interviews with older adults and healthcare providers to identify key barriers such as forgetfulness, low digital confidence, and interface complexity.
Developed a dual solution: an ergonomic pillbox and an app with QR-based prescription import, personalized reminders, and caregiver sharing features.
Built high-fidelity prototypes in Figma and Cinema 4D, receiving strong feedback for usability and accessibility improvements.
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