Hi, I am Aneesha!
I study how people understand, trust, and adapt to intelligent systems.
I’m a UX Researcher combining behavioral inquiry, mixed-methods research, and responsible AI practice to shape AI-enabled products and complex digital systems.
From large enterprise systems to new technologies, my work has informed decisions and strategy across complex domains.
My Impact across Systems
Across enterprise platforms, GenAI, and social AR, I study the conditions that shape understanding, trust, adoption, and social behavior.
Where I Work
Selected work showing how behavioral evidence shaped product strategy, system architecture, and responsible AI decisions.
Featured Case Studies
Enterprise Utility Platform Navigation Redesign
Mixed Methods Research | Research at Scale
Serving 6M+ customer accounts and over 12M users, FPL’s redesign of its digital services across platforms required research that scaled with complexity. I led generative and evaluative research for the redesign, that translated customer mental models into a new navigation architecture. The redesign reduced time on task by 30% across five critical journeys and secured leadership approval for implementation across FPL’s digital ecosystem.
Driving Responsible AI Adoption for an Enterprise Digital Team
Strategic Research | Responsible Innovation
As AI rapidly entered digital product work, I initiated building Responsible AI guidelines for FPL’s digital organization to support customer-facing experiences and internal AI adoption. Using secondary research, design fiction workshops, and future scenario exploration, I translated emerging risks and opportunities into actionable guidance for teams across design, product, content, and analytics. This work continues to inform research into AI adoption and everyday workflow integration.
Designing Trust for Audio-AI Experiences
Mixed Methods Research | Responsible Innovation
‘How can we incorporate AI into our services?’- iHeartRadio
As iHeartRadio explored Generative AI for new listening experiences, the challenge was balancing innovation with user trust. I co-led mixed-methods research into the conditions shaping listener trust and acceptance. We found that listeners were not categorically resistant to AI: openness depended on whether it augmented human connection or attempted to replace it. This finding shaped community-driven radio concepts and an audio-specific Responsible AI framework, contributing to 2x increase in engagement among users under 35.
Researching the Future of Social AR Experiences
As Snap Inc. explored co-located AR experiences for their Spectacles, the challenge was understanding how social interaction changes when digital experiences move into shared physical spaces. I uncovered collaboration patterns and opportunity areas within social AR experiences by conducting formative studies and observational research. Insights informed early concept exploration, supported prototype investment decisions, and helped secure hardware allocation for future development.
Generative Research | Emerging Interfaces