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Signals to Solutions is Ying Chen’s Substack Newsletter on UX research, AI, and the human insights behind better products.

Signals to Solutions

A VISUAL MAP OF YING’S SUBSTACK ARTICLES & THEMES

The observatory.

Find the human signals behind better products. Move your cursor through the sky. Click a constellation to explore its essays.

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Meet the constellations

A CELESTIAL COMPASS

Meet the constellations.

Turn the dial by dragging its teal outer rim, or use the arrow buttons underneath to explore the constellations. Choose a glowing star to discover the essay within.

DRAG THE TEAL RIM TO TURNor use the arrows to explore

IN YOUR ORBIT

CONSTELLATION 01 OF 04: Methods in Focus. 2 essays.

Methods in Focus

How do we study human experience?

Reviewing and discussing UX research methodologies—their strengths, limitations, and what makes research rigorous.

FOLLOW A STAR02 ESSAYS

THE PERSON BEHIND THE PERSPECTIVE

YING, AT THE OBSERVATORY

Following questions.
Collecting signals.

Behind the
observations.

Hi, I’m Ying. A UX researcher, a curious observer, and a connector of dots.

I explore how people experience technology—and how those experiences can guide more thoughtful products. My 5+ years of experience in AI, consulting, gaming and healthcare UX research shapes the way I ask questions and make sense of what I find.

Signals to Solutions is where I share that process: research perspectives, questions about AI, and field notes from learning along the way.

Explore my portfolio Peek into my notebook

THINKING IN THE MARGINS

Notebook from
the observatory.

What I’m curious about, what I’m exploring,
and where the next questions might lead.

01 / OPEN QUESTIONS

Making sense of research,
AI, and the people
in between.

I’m interested in the decisions behind the methods: how we listen, how we interpret, and how we decide what’s worth building. This is a place to work through those questions, one observation at a time.

Currently exploring

What counts as a good signal?
Qualitative rigor, classification, and the context that can get lost when we turn people’s stories into themes.
What does “better AI” mean for people?
Useful measures of experience, and how UX research can help teams ask better evaluation questions.
How does my practice change with AI?
Learning by reading, trying, and building—while paying attention to where human judgment matters.

Leave room for the unexpected connection.