Hi, I’m Ayat,

And this is my not-so-typical UX portfolio.

You won't find the standard Research → Ideate → Wireframe → Prototype → Test pipeline here. Sometimes, getting meaningful feedback means going straight from Research to Build, and sometimes I’m not building something at all, but rather making sure an existing experience respects everyone.

As I started integrating AI into my workflow, I have become increasingly conscious of my role in the collaboration. While I let AI expedite research, churn out ideas, partner in strategy conversations, and even design screens, I remain the guide and the decision-maker — whatever the process looks like.

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

ZAPPOS

Task 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.

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SMARTNEWS APP

All 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.

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GAP

13 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.

See Full Testing Plan