At OKX, to accelerate research delivery and minimise cost, I trained local managers to conduct interviews and usability tests in their native languages. To maintain research quality while working remotely, I used live AI interpretation to follow sessions in real time — understanding what was being asked, how participants responded, and where to probe further. The AI-generated transcript and translation also supported my post-session debrief meetings with local managers, helping me seek clarifications and surface follow-up questions I would otherwise have missed.
At OKX, I used AI translation to process qualitative survey responses received in 5 non-English languages across a 10,000-response survey, dramatically reducing turnaround time and translation costs while maintaining analytical quality. All translated responses were manually reviewed and coded before analysis.
An AI-powered interviewer designed to conduct structured UX research interviews at scale — maintaining consistent question framing, probing on key themes, and capturing responses for analysis. Built to complement, not replace, in-depth human-led sessions where depth and nuance matter most.
AI-assisted thematic coding grounded in academic frameworks, ensuring analytical rigour at scale without sacrificing interpretive depth.
A purpose-built tool for capturing longitudinal diary study entries, reducing participant friction and improving data quality over time.