Andrew David Torr
UX Researcher
As a UX Researcher with extensive experience in user and usability research, I am passionate about transforming insights into impactful designs. With a background in human factors and cognitive psychology, I bring a deep understanding of user behavior, honed through years of working on diverse projects in industries ranging from automotive to software. I have worked extensively in automation, fintech, SaaS, and transportaion, leveraging research to optimize complex systems and enhance user trust. Skilled in both generative and evaluative research methods, I am adept at uncovering user needs and translating them into actionable insights for design and product development. I am excited to continue my journey in UX and user research, contributing to user-centered, accessible, and innovative solutions.
Portfolio
I presented research initiatives to enhance pricing and promotional optimization tools, focusing on improving trust through better transparency, usability by streamlining workflows and enhancing customization, and functionality by incorporating essential user-required capabilities. By identifying user pain points, I developed a targeted research plan leveraging diverse methodologies to address core needs. I ensured the tools provided flexibility, streamlined workflows for efficient task execution, and addressed trust barriers associated with automated price recommendations. Through iterative testing, the design was refined to deliver a polished final product aligned with user expectations.
I conducted research to address the challenges of autonomous scheduling for missions beyond Earth orbit, where communication delays with Mission Control require crews to manage complex scheduling tasks independently. Focusing on astronauts as non-expert planners, I explored how they develop self-scheduling strategies to navigate spaceflight constraints. Through two human-in-the-loop experiments, I identified how participants rapidly formed effective heuristics, prioritizing highly constrained tasks during scheduling while demonstrating adaptive variability during rescheduling. These findings provide actionable insights to improve crew autonomy and efficiency in space missions.