Zoobia Saifullah Syeda

Lyra: Encouraging Critical Thinking in AI-assisted Learning

• Led end-to-end design of Lyra, an AI learning companion, by creating user flows, wireframes, and high-fidelity prototypes that encouraged deeper learning—resulting in 100% user success in concept breakdown during usability testing.
• Conducted mixed-methods research including literature review, surveys (60+ students), and stakeholder interviews to uncover biases in AI-assisted learning, translating insights into actionable design principles grounded in psychology.
• Iterated on information architecture, chat modes, and interactive mind maps based on user feedback, improving task success by 82% and user satisfaction with review features by 100%.

Bucketize – AI Knowledge-Sharing Tool for Education

• Co-led the design of Bucketize, an AI-powered knowledge-sharing tool that helps professors streamline content organization, informed by mixed-methods research with 28 students and faculty.
• Synthesized 114+ qualitative data points from interviews and surveys to identify pain points in academic content delivery, shaping features like AI-assisted sorting, persona-based collections, and collaborative sharing.
• Refined interaction patterns and visual design through usability testing with 6 users, addressing navigation and readability issues to improve clarity and task completion across key user flows.

• Human Factors in AI - Duke University
• Responsible Conduct of Research (RCR) - IRB