Led competitive and user research using SWOT and Kano models to inform product positioning and feature prioritization.

Conducted advertiser interviews and launched AI-powered agents that automated routine campaign monitoring and optimization, reducing manual tracking and improving campaign efficiency by 30%.

Collaborated with data engineers, advertisers, and PM to streamline a manual, multi-step audience analysis workflow into one system, reducing the time to generate insights from 3 days to under 1 hour.

Facilitated 10+ advertiser user tests to improve micro-interactions and affordances, removing critical user errors and streamlining large-scale dataset mapping.

Applied instructional design (scaffolding, scenario-based learning) and UX principles (progressive disclosure, consistent affordances) to create scalable, standardized training materials for complex hardware controls.

Created a PRD (product requirement document) and roadmap with feasible scope and deadlines that align with stakeholder's OKR.

Managed team and stakeholder communication by facilitating meetings and resolving conflicts

Conducted user interviews, usability testing, and competitive analysis to gain deep insights into user needs and the educational technology market

Developed comprehensive design specifications and guidelines to establish design standards and maintain consistency across the app.