Led user research to inform UI decisions for a retail app, optimizing shopping experience and reducing drop-offs.
As a Lead UX Researcher at VisionGrid Technologies, I led the user research phase for a retail mobile app aimed at improving the shopping experience for users. This project was initiated after the client noticed significant user drop-off during the checkout process. My role involved conducting in-depth qualitative research through user interviews, observational studies, and surveys. I analyzed user behaviors, pain points, and preferences, focusing on critical touchpoints such as product discovery, cart management, and payment processes. Using the findings, I helped redesign the app's user interface to enhance user flow, making the shopping journey smoother. The insights also contributed to the optimization of the app’s search feature and product filtering system, ensuring a more personalized shopping experience. This project was crucial in increasing customer retention and conversion rates, as the redesign led to improved usability and satisfaction.
Digital Creator & Problem Solver
@radhikaroy-1Built a trend prediction model for retail market forecasting using machine learning and real-time data.
Developed a machine learning-based recommendation system for retail personalization using AWS and Python.
Revamped NGO website UI to improve user flow, increase engagement, and drive donations.
