<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Ying Chen]]></title><description><![CDATA[Ying Chen]]></description><link>https://www.yingchenpm.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Mon, 03 Aug 2026 20:57:37 GMT</lastBuildDate><atom:link href="https://www.yingchenpm.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Evals Across an AI Product Team: Three Perspectives and the Essential Role of UX Research]]></title><description><![CDATA[A high-level look at AI evaluation across product management, data science, and UX research, as well as the essential role UXR plays in defining what “better” means. Welcome to Signals to Solutions, a newsletter about understanding products through user behavior, product strategy, and UX research. For this first article (originally published here), I want to begin with a sharing what I see from a word that appears in almost every conversation about building AI products: Evals. Large language...]]></description><link>https://www.yingchenpm.com/post/evals-across-an-ai-product-team-three-perspectives-and-the-essential-role-of-ux-research</link><guid isPermaLink="false">6a7053db3e0c16484ffb6702</guid><pubDate>Mon, 03 Aug 2026 08:48:23 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/706b13_720273b759104fba82d9d38b734d1126~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Ying Chen</dc:creator></item></channel></rss>