Hi, I’m Ayat.
I design intentionally, creating thoughtful and inclusive experiences grounded in research.
I’m a UX designer and researcher with a Master’s in User Experience Design and a background in linguistics. I focus on accessibility, service-oriented UX, and translating research into clear product decisions, especially in contexts where agency, trust, and human dignity matter.
Nice to meet you!
Featured Projects
When I design, I start with people. When I share my work, I focus on the human needs, voices, and experiences that shaped each outcome, not just the final screens.
AI-Integrated Workflow | Live Design Log | Side Project
CRISP
A real-time documentation of my AI-integrated workflow
This is not a case study; it is a live design log.
Product Strategy | Emotional Design | Experience Design
Washington Post: Cultivating Gen Z Loyalty
Turning childhood memories into lifelong ties, leaning on human connection and away from paywalls
Accessibility Audit | E-Commerce | Inclusive Design
Uncovering Silent Barriers at Erewhon
Dismantling digital exclusion and resolving friction to create an inclusive experience
Usability Testing
ZAPPOSTask success ranged from 60% to 100%, depending on whether navigation matched expectations.
The lowest score came from adding a gift card to cart (3 of 5) — the feature was buried under "Collections" and even search didn't help. Tasks with a clear navigation path, like finding the return policy (4 of 5) and signing up for promos (5 of 5), succeeded far more consistently.
SMARTNEWS APPAll 12 participants customized their feed, but 0 did it the way the design intended.
After tapping "Go to My Feed," participants expected to see the topics they'd just selected, but landed on generic top news instead. Their actual selections were hidden under a separate "Following" tab that all 12 failed to discover on their own.
GAP13 participants per variant, calculated to detect a 10% change in how fast users click "return."
The current return CTA on GAP's order details page is easy to miss on first use. This plan lays out a full test: sample size, minimum detectable effect, and significance threshold calculated from first principles, plus an A/A test to confirm the setup is reliable before comparing two CTA designs.