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I’m excited to announce a new initiative at Baymard Institute: in-depth guides. Over the last decade (and a half), we have published 1000+ UX guidelines. But for busy product teams, the volume of data can sometimes be a barrier to implementation. So, we took this problem and came up with a solution: Instead of asking teams to piece together guidelines, we are consolidating our most critical research into single, comprehensive guides built around specific milestones in the user journey. Our first guide focuses on the most critical juncture in ecommerce: Checkout UX. This is not a general overview; it is an operational manual designed for teams to: - Identify Friction: Pinpoint the exact design patterns currently hindering your conversion rates. - Make Evidence-Based Decisions: Use our guidelines, video insights, and statistics to move from subjective "best guesses" to research-backed strategy. - Visualize the Solution: Access hundreds of industry-specific design examples that show, rather than just tell, what "world-class" looks like. - Get Stakeholder Buy-In: Come armed with the evidence needed to secure approval for design changes and strategic shifts. The goal here is simple: to help you bridge the gap between knowing what’s wrong and knowing exactly how to fix it. We’re moving away from siloed information and toward a centralized, actionable source of truth for the entire product lifecycle. This is the first of many in-depth guides we’ll be rolling out. My hope is that by providing this strategic clarity, we can help teams spend less time debating design and more time delivering exceptional experiences to their customers. You can explore our first in-depth guide on Checkout UX here: https://lnkd.in/eFef3X8J

People don't believe us when we say we've conducted over 150,000 hours of UX research. And today we have to say that they're right. That's because we've now conducted over 200,000 hours 🥳 What started as a small mission in 2009 has grown into one of the world’s largest bodies of UX research. Every UX insight we share, every guideline we publish, and every UX-Ray result is built on over 200,000 hours of real user testing and evidence-based analysis. Behind the numbers are thousands of observed user sessions, years of benchmarking the world’s leading ecommerce sites, and a team committed to understanding why users struggle — and how to fix it. Today, we’re proud to celebrate not just a milestone, but a legacy of research that continues to shape better online experiences. Watch this short video to find out from our founders how Baymard Institute began, and why they are so passionate about making UX more usable, more human, and more evidence-driven. #uxresearch #uxr #ecommerceux

I hear a version of the same challenge from UX teams almost every week: “We know this UX issue matters. We can see it in the research. But how do we convince stakeholders? How do we get everyone aligned on fixing it?” UX teams are often asked to make the case twice: 1) to identify the issue. 2) to defend that it’s worth solving. That second part is where things often stall. This is one of the core reasons we built Quant Insights here at Baymard Institute The large-scale survey data provides you ready-to-use, ecommerce-specific user preferences data that helps you: • Strengthen stakeholder alignment by showing the scale and relevance of UX issues, using trusted data rather than subjective arguments. • Prioritize experimentation smarter by focusing A/B tests where the data shows the most impact potential. • Make confident decisions when you already know the problem area but need clarity on which direction to take next. It’s not about replacing qualitative research or expert evaluation. It’s about supporting those insights with evidence that travels well in organizations. In other words: Quant Insights helps UX teams spend less time debating, and more time improving the experience. If your team has ever been caught in the loop of knowing something is a problem, but struggling to prove it in a way that drives action, this is designed for you. I recorded a short walkthrough below. Curious to hear how you think this could support your decision-making process. You can read more in the link in the comments below.

What happens when AI gets UX wrong? Revenue takes a hit ❌ Generative AI tools can sound confident - but most only reach 50–75% accuracy when analyzing UX or CRO opportunities. That means 1 in 3 recommendations can actually hurt your site’s conversion performance 🚨 In his latest article, Baymard co-founder Christian Holst explains why accuracy is the missing ingredient in AI-driven UX, and how UX-Ray 2.0 became the first system to reach a documented 95% Accuracy Rate, matching human specialists. Inside, you’ll learn: ✔️ Why most AI UX tools fail below the 95% accuracy threshold ✔️ How small UX errors create outsized business costs ✔️ The research process behind UX-Ray’s validation Before trusting AI to influence your product decisions, it’s worth seeing how we proved that accuracy really matters. 📖 Read the article: https://lnkd.in/eEB5uD2H #UXResearch #AIUX #EcommerceUX #ConversionOptimization #Baymard

What if you could scan your website and uncover research-backed UX improvements, without guesswork? That’s exactly what we’ve built. In this video, I’ll walk you through UX-Ray 2.0, our newly upgraded UX scanner that transforms our 150,000+ hours of UX research into clear, actionable insights: - Analyze your site against Baymard’s industry-leading guidelines - Benchmark your UX against competitors - Spot weaknesses before launch with prototype scans - Get a full UX audit report with the Max Plan Whether you’re optimizing your site, running competitor analysis, or validating design changes, UX-Ray 2.0 helps you move faster and with research-confidence. See how it works in my video below and try UX-Ray today:

Free UX-Query runs out after 75 questions. Premium gives you 350–1,000 answers a year, all backed by Baymard’s UX database. When challenged, you’ll have research at your fingertips.