BRINGING Insights into AI Product Strategy

Hey! I’m Gabi! A Senior UX Researcher working at the intersection of human behavior and intelligent systems.

I specialize in foundational qualitative research that shapes AI-powered products — defining use cases, informing modeling decisions, and aligning emerging technologies with real customer needs.

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AI-powered financial assistanT

Defining how an AI assistant should behave in a financial environment — where memory retention, action on behalf of the customer, and trust must be carefully balanced.

  • Senior UX Researcher — AI Strategy

    I led foundational research shaping the memory, trust model, and interaction strategy of an AI-powered financial assistant embedded in a consumer fintech product. Through generative and evaluative research, I helped the team clarify what the assistant should optimize for, what it should remember, and how it could take action without eroding trust — ultimately influencing roadmap sequencing and defining principles for building responsible, context-aware AI in a high-stakes financial environment.

  • My insights shifted the AI assistant from reactive iteration to a principled product strategy by aligning the assistant’s development with real customer needs.

    The work guided modeling decisions, clarify on data retention, and defined appropriate behavioral boundaries.

Unifying Multiple Accounts Under One Identity

Our team redesigned the account architecture to support multiple profiles under a single identity layer — without compromising compliance, flexibility, or user trust.

This work required rethinking how identity, risk, and customer expectations intersected across the ecosystem. The project spanned data modeling, UX systems, onboarding logic, and customer communication, all while protecting millions of active users from disruption.

  • Senior UX Researcher — Trust & Safety

    I led the research strategy across this multi-quarter transformation, from diagnosing root causes to informing rollout decisions.

    My role extended beyond insight generation. I influenced sequencing, informed measurement strategy, and ensured that identity unification balanced compliance, usability, and long-term scalability.

  • The insights directly stopped a rollout, reprioritized engineering work, and prevented downstream customer harm.

    Because of this research, we built a scalable identity framework that balanced flexibility, compliance, and customer mental models — while reducing fragmentation across the ecosystem.