UX Designer with a focus on Interaction, UX, and Service Design, designing accessible solutions.

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Grace Lal  • Peerlist

Grace Lal is a UX designer with a background in full-stack Java development, currently shaping human-centered design. She has worked at ASML and Airtribe, focusing on UI/UX design and product design. Grace is pursuing her M.S. in Human Factors &amp; Ergonomics, UX at SJSU. Her project at Airtribe involved redesigning the Daily Challenges feature to enhance user engagement and retention. By introducing gamification elements like gems, the participation rate increased by 47%, and the retention rate rose from 12.5% to 47.17%. The project was an internship in the Ed-tech industry, focusing on UX design, design thinking, and design sprints. The team included stakeholders, lead product designers, and front-end and back-end developers. The redesigned user flow and gamification strategies addressed issues such as low engagement and high abandonment rates. Key features included the introduction of gems, visibility of past questions, a dynamic leaderboard, and certificates of completion. The project also involved user research, heuristic evaluation, and competitive analysis to understand user needs and improve the challenge experience. This project provided valuable insights into handling edge cases and conducting developer handoffs.

Redesigning Daily Challenges

The work includes a usability study of LinkedIn's web platform aimed at improving the job-seeking journey for experienced job hunters. The study focused on evaluating LinkedIn's web interface for discoverability, learnability, and efficiency. Key findings highlighted issues such as inefficient navigation, scattered job alerts, and confusing inbox labels. Recommendations included consolidating job alerts, adding professional filters, and standardizing message actions. This academic project provided hands-on experience in usability testing, revealing genuine user struggles and offering actionable design improvements.<ul><li>Usability Testing: Conducted to evaluate LinkedIn's web interface.</li><li>Key Features: Expand professional network, search and apply for jobs, build a personal brand.</li><li>Study Objectives: Improve web experience, evaluate discoverability, learnability, and efficiency.</li><li>Recommendations: Consolidate job alerts, add professional filters, standardize message actions.</li></ul>This project aligns with LinkedIn's mission to empower professionals by improving the efficiency of job searching and networking on their web interface.

Usability Study of LinkedIn Web

NextGen Mobility is an innovative ride-sharing service designed to compete directly with Uber and Lyft by offering a more ethical, driver-centric, and customer-friendly experience. With $125 million in funding, the goal is to build a cutting-edge mobility platform that prioritizes fair wages, sustainability, safety, and seamless user experience.<h3>Key Features</h3><ul><li>Fair Wages: Ensuring drivers receive fair compensation.</li><li>Sustainability: Eco-friendly options like E-bikes and E-scooters.</li><li>Safety: Live tracking, background checks, and SOS features.</li><li>Seamless Experience: Convenient booking and accurate wait times.</li><li>AI Preferences: Personalized ride options based on user behavior.</li><li>Threaded Mobility: Solutions for high traffic situations with bike/scooter stations.</li><li>Carpooling: Options for shared rides and scheduling in advance.</li></ul>NextGen Mobility aims to provide a modern, clean, and safety-focused app experience, ensuring that both riders and drivers are informed and secure. The service design concept includes a comprehensive service ecosystem and blueprint, ensuring consistency and cohesion across business lines.