Hi, I am Aneesha!
Storyteller. Advocate of Users. Curious Thinker.
I’m a UX Researcher who focuses on getting the questions right before solving the problem. I work across foundational and evaluative research, shaping long-term systems and governance while informing high-stakes product decisions in large-scale and emerging technologies. I’m trusted to navigate ambiguity, connect systems thinking to product realities, and turn complex research into clear, actionable direction.
Impact Across Industries
These are examples of how my research has informed decisions, systems, and strategy across complex domains-
Featured Work
These are examples of how I’ve used research to guide decisions across scale, AI innovation, and system maturity.
Full Platform Redesign and Embedding Responsible-AI
Mixed Methods Research | Scalable UXR | Responsible AI
With 6M+ customer accounts and 12M+ users relying on its services, FPL’s digital platform redesign required decisions that scaled. I led UX Research across five core user journeys, aligning evaluative research with business priorities to inform platform-level decisions. By standardizing usability and benchmarking practices, I improved task success by 30% and doubled insight delivery speed. I also embedded AI-powered research workflows and authored Responsible AI Guidelines, operationalizing ethical decision-making across the digital organization.
Shaping Audio-AI Experiences, Responsibly
Mixed Methods Research | Responsible AI | Concept Development
‘How can we incorporate AI into our services?’- iHeartRadio, 2023
As iHeartRadio explored Generative AI for new listening experiences, the core challenge was balancing innovation with user trust. I led mixed-methods research to assess user expectations, risks, and adoption barriers for AI-powered community features. The research informed the launch of iHeart’s first Generative AI–driven radio channels, increasing engagement among users under 35 by 200%. In parallel, I authored Responsible Audio-AI Guidelines to guide ethical product decisions as AI capabilities scaled in audio experiences.
Design System Benchmarking at Scale
As Viasat’s design system scaled across teams, leadership needed clarity on usability, adoption, and system maturity. I led the organization’s first longitudinal benchmarking study, surveying 300+ users across five stakeholder groups, to create a repeatable framework that improved 3 of 5 core performance metrics and now informs roadmap prioritization and future releases.
Quantitative + System Research