{"id":11922,"date":"2024-12-18T08:40:41","date_gmt":"2024-12-18T08:40:41","guid":{"rendered":"https:\/\/userpilot.com\/blog\/ux-analytics-saas\/"},"modified":"2026-04-01T12:27:25","modified_gmt":"2026-04-01T12:27:25","slug":"ux-analytics","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/ux-analytics\/","title":{"rendered":"UX Analytics: It&#8217;s Not Just About Data Collection and Methods"},"content":{"rendered":"<p>Without effective UX analytics that goes beyond collecting data, you&#8217;re losing valuable customers. Unfortunately, the research backs this up, with a staggering <a href=\"https:\/\/www.linearity.io\/blog\/ux-statistics\/\" target=\"_blank\" rel=\"nofollow noopener\">90% of users<\/a> reporting that they stopped using an app due to poor performance.<\/p>\n<p>Poor performance includes slow loading times, complex design, confusing navigation, and unresponsive features. Basically, anything that ruins the user experience.<\/p>\n<p>This article will help reduce such churn by refining your <a href=\"https:\/\/userpilot.com\/role\/product-management\" target=\"_blank\" rel=\"noopener noreferrer\">product management<\/a> and UX analysis approach. It covers key topics, such as:<\/p>\n<ul>\n<li>Defining UX analytics.<\/li>\n<li>Why UX analytics should go beyond quantitative data.<\/li>\n<li>How to start your UX analysis.<\/li>\n<li>Methods for collecting and analyzing UX data.<\/li>\n<li>UX analytics tools worth considering.<\/li>\n<\/ul>\n<h2 id=\"clc3n\">What is UX analytics?<\/h2>\n<p>UX analytics involves gathering, analyzing, and interpreting data about how users interact with your product or service. It helps get a <a href=\"https:\/\/userpilot.com\/blog\/customer-pain-points\/\" target=\"_blank\" rel=\"noopener noreferrer\">better understanding of user pain points<\/a> and uncover improvement areas for <a href=\"https:\/\/userpilot.com\/blog\/improve-user-experience\/\" target=\"_blank\" rel=\"noopener noreferrer\">enhancing the overall user experience<\/a>.<\/p>\n<p>UX analysis benefits product managers by providing data-driven insights to <a href=\"https:\/\/userpilot.com\/blog\/product-development-process\/\" target=\"_blank\" rel=\"noopener noreferrer\">guide product development decisions<\/a> and prioritize features. For product designers, it <a href=\"https:\/\/userpilot.com\/blog\/product-usability\/\" target=\"_blank\" rel=\"noopener noreferrer\">highlights usability issues<\/a>, thereby informing design iterations and ensuring more <a href=\"https:\/\/userpilot.com\/blog\/product-centric-vs-customer-centric\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer-centered solutions<\/a>.<\/p>\n<p>Throughout this traditional definition, you&#8217;ll notice an emphasis on data, typically taken to mean <a href=\"https:\/\/userpilot.com\/blog\/quantitative-metrics\/\" target=\"_blank\" rel=\"noopener noreferrer\">quantitative metrics<\/a>. Think about what this means for a second. You&#8217;re making decisions, without taking your users into consideration. Even though they&#8217;re the ones using the product.<\/p>\n<p>Instead, for a more accurate analysis, it&#8217;s time to make room for qualitative data too, like user interviews and feedback. I will discuss why in just a second.<\/p>\n<h2 id=\"24d8t\">Why does UX analytics need more than data?<\/h2>\n<p>Quantitative data used to be enough for UX analysis. But over time, <a href=\"https:\/\/userpilot.com\/blog\/satisfy-customer-needs\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer needs<\/a> evolved. Users started prioritizing their experience over functionality, with <a href=\"https:\/\/www.toptal.com\/designers\/ux\/ux-statistics-insights-infographic\" target=\"_blank\" rel=\"nofollow noopener\">88% <\/a>admitting that they&#8217;re less likely to return to a site after a poor UX.<\/p>\n<p>Amidst all this, quantitative data just falls short of explaining the <em>why<\/em> behind user behavior. Here are some reasons why:<\/p>\n<ul>\n<li><strong>Human expertise &amp; interpretation<\/strong>: Information is not in the data. This means <a href=\"https:\/\/userpilot.com\/blog\/examples-of-quantitative-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">quantitative data<\/a> alone does not inherently contain reasons for causality or correlation. Instead, the interpretation is added as a result of qualitative sources, namely human expertise, intuition, and domain knowledge.<\/li>\n<li><strong>Importance of context<\/strong>: Numerical data doesn&#8217;t account for the context within which it occurs. To assign meaning to whether the numbers are good or bad, context is crucial. This includes the business environment, any ongoing issues, industry understanding and benchmarking, etc.<\/li>\n<li><strong>Uncover why the needs exist<\/strong>: Even when using methods like user feedback widgets and focus groups, the aim is to learn <em>how <\/em>users use your product. These methods can be used to dig deeper into the user&#8217;s brain. So you can figure out <a href=\"https:\/\/userpilot.com\/blog\/customer-wants-and-needs-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\"><em>why <\/em>the needs exist<\/a> and what motivates them to choose a product.<\/li>\n<\/ul>\n<p><!--ARCADE EMBED START--><\/p>\n<div style=\"position: relative; padding-bottom: calc(56.8027% + 41px); height: 0px; width: 100%;\"><iframe style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%; color-scheme: light;\" title=\"Product Analytics\" src=\"https:\/\/sw11.userpilot.com\/2vKrdyNnsiHwTtGnBWmb?embed&amp;embed_mobile=tab&amp;embed_desktop=inline&amp;show_copy_link=true\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<h2 id=\"df1ve\">How should you start a UX analysis?<\/h2>\n<p>For the reasons I mentioned above, diving straight into data collection is not how you should start your UX analysis. So what&#8217;s the starting point then? Do you start by <a href=\"https:\/\/userpilot.com\/blog\/goal-setting-frameworks-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">establishing a goal<\/a> first or deciding whether tools like Google Analytics are enough for the job?<\/p>\n<p>This is where it gets tricky because there isn&#8217;t much helpful content available on this topic.<\/p>\n<p>However, based on our experience, <strong>a good place to start is by building a better understanding of core UX terms<\/strong>, namely questioning utility and usability.<\/p>\n<ul>\n<li><strong>Utility<\/strong>: Take inventory of your product&#8217;s functionalities and measure the percentage being actively utilized by users. This shows how well your product <a href=\"https:\/\/userpilot.com\/blog\/user-needs-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">addresses user needs<\/a>.<\/li>\n<li><strong>Usability<\/strong>: <a href=\"https:\/\/userpilot.com\/blog\/success-metrics-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">Measure the success rate<\/a> of users completing tasks with those functionalities, <a href=\"https:\/\/userpilot.com\/blog\/friction-points\/\" target=\"_blank\" rel=\"noopener noreferrer\">identifying friction points<\/a>.<\/li>\n<\/ul>\n<p>You can further build on this initial guidance by <strong>combining these metrics with user states &#8211; <\/strong>a simpler alternative to <a href=\"https:\/\/userpilot.com\/blog\/user-journey-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">tracking complex SaaS user journeys<\/a>.<\/p>\n<p>So group users into five states (New, Activated, Active, At-Risk, and Dormant) to <strong>see if utility and usability issues occur for any of the users in these states. <\/strong>For example, are new users exploring core functions or just the basics? Or do <a href=\"https:\/\/userpilot.com\/blog\/at-risk-customers\/\" target=\"_blank\" rel=\"noopener noreferrer\">at-risk users<\/a> struggle more with certain features than <a href=\"https:\/\/userpilot.com\/blog\/active-user\/\" target=\"_blank\" rel=\"noopener noreferrer\">active users<\/a>?<\/p>\n<p><strong>If you uncover any problems with utility or usability, only then can you start collecting data for further analysis. <\/strong>But this brings up the next issue &#8211; how do you collect targeted UX data for deeper insights? There are a couple of ways to go about it, which I elaborate on below.<\/p>\n<h2 id=\"d0ntn\">How do you collect UX data?<\/h2>\n<p>By now, we&#8217;ve covered that UX data can come in both quantitative and qualitative data forms. Next, let&#8217;s explore some methods for collecting each data type, along with common mistakes to be wary of.<\/p>\n<h3 id=\"br647\">Qualitative data collection methods<\/h3>\n<ul>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/open-ended-questions\/\" target=\"_blank\" rel=\"noopener noreferrer\">Open-ended surveys<\/a><\/strong>: Collect user feedback through questions requiring elaborate answers about a context. For example, <a href=\"https:\/\/userpilot.com\/blog\/welcome-survey\/\" target=\"_blank\" rel=\"noopener noreferrer\">welcome surveys<\/a> for <a href=\"https:\/\/userpilot.com\/blog\/jobs-to-be-done-survey\/\" target=\"_blank\" rel=\"noopener noreferrer\">gathering information on user JTBD<\/a>.<\/li>\n<li><strong>User interviews<\/strong>: Direct, open conversations with users to uncover insights into their needs, behaviors, and motivations.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/session-recordings\/\" target=\"_blank\" rel=\"noopener noreferrer\">Session recordings<\/a><\/strong>: Track user interactions, like clicks, scrolls, mouse movements, etc., across your product or website. Useful for recreating entire user journeys and <a href=\"https:\/\/userpilot.com\/blog\/user-friction\/\" target=\"_blank\" rel=\"noopener noreferrer\">finding friction areas<\/a>.<\/li>\n<li><strong>Usability testing<\/strong>: Observe how real users interact with your product while they perform specific tasks to help you <a href=\"https:\/\/userpilot.com\/blog\/usability-testing\/\" target=\"_blank\" rel=\"noopener noreferrer\">identify usability issues<\/a>.<\/li>\n<li><strong>Expert review<\/strong>: Established design experts check your product\u2019s design based on <a href=\"https:\/\/userpilot.com\/blog\/user-psychology-ux-design-principles\/\" target=\"_blank\" rel=\"noopener noreferrer\">usability principles<\/a> to identify potential improvements.<\/li>\n<li><strong>Eye-tracking<\/strong>: Track and display a heat map of where users focus the most on a page to understand visual attention and behavior.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/user-persona-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">Personas<\/a><\/strong>: Create semi-fictional characters to represent and better <a href=\"https:\/\/userpilot.com\/blog\/types-of-customers\/\" target=\"_blank\" rel=\"noopener noreferrer\">understand key user types<\/a>, their goals, needs, and problems.<\/li>\n<\/ul>\n<p>While there are several qualitative data collection methods, each comes with its limitations.<\/p>\n<p>For instance, surveys may seem like an easy-to-execute option. However, <strong><a href=\"https:\/\/userpilot.com\/blog\/survey-data-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">survey data<\/a> won&#8217;t work if you&#8217;re asking the wrong questions. <\/strong>A good question should:<\/p>\n<ul>\n<li>Reduce ambiguity.<\/li>\n<li>Shift perspectives.<\/li>\n<li>Narrow the solution space.<\/li>\n<li>Be data-testable.<\/li>\n<\/ul>\n<p>It&#8217;s the same issue if you <strong>lack a survey strategy<\/strong>.<\/p>\n<p>The <a href=\"https:\/\/userpilot.com\/blog\/kano-model\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kano model<\/a> can help here, making planning questions easier. It uses a functional and dysfunctional question to measure how users value a certain feature. This simple yet effective model makes <a href=\"https:\/\/userpilot.com\/blog\/preference-testing\/\" target=\"_blank\" rel=\"noopener noreferrer\">feature prioritization easier based on user preferences<\/a>.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/user-recording_98689828e00374d10d458002ce16a7d6_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/user-recording_98689828e00374d10d458002ce16a7d6_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/user-recording_98689828e00374d10d458002ce16a7d6_800.png\" alt=\"UX analytics: Session recording in Userpilot\" \/><\/picture><figcaption><a href=\"https:\/\/userpilot.com\/blog\/session-recordings\/\">Session recordings let<\/a> you track user behavior, jump straight to key moments, add notes on sessions, flag bugs, and tag teammates for easier collaboration.<\/figcaption><\/figure>\n<h3 id=\"6vimh\">Quantitative data collection methods<\/h3>\n<ul>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/close-ended-survey-questions\/\" target=\"_blank\" rel=\"noopener noreferrer\">Close-ended survey questions<\/a><\/strong>: Restrict respondents to predefined answer options, such as &#8220;Yes\/No&#8221; or multiple-choice selections, easily generating quantitative data for analysis.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/event-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">Event tracking<\/a><\/strong>: Monitor specific actions within your product (e.g., user clicks or data inputs). This helps identify user behaviors linked to successful outcomes, like upgrades or <a href=\"https:\/\/userpilot.com\/blog\/drive-feature-adoption\/\" target=\"_blank\" rel=\"noopener noreferrer\">feature adoption<\/a>.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/auto-capture\/\" target=\"_blank\" rel=\"noopener noreferrer\">Autocapture<\/a><\/strong>: Automatically record all user interactions with your product, like clicks, text inputs, and form submissions. Useful for <a href=\"https:\/\/userpilot.com\/blog\/user-behavior-patterns\/\" target=\"_blank\" rel=\"noopener noreferrer\">studying behavior patterns<\/a> and problem areas.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/retention-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">Retention analysis<\/a><\/strong>: Analyze user behavior to understand why they abandon your product and identify strategies for reducing churn.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/ab-testing-product-management\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B testing<\/a><\/strong>: Compare two versions of your product or design to determine which performs better with users.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/funnel-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">Funnel analysis<\/a><\/strong>: Track users through various stages of the conversion funnel (from sign-up to paid user) and uncover any <a href=\"https:\/\/userpilot.com\/blog\/funnel-drop\/\" target=\"_blank\" rel=\"noopener noreferrer\">drop-off points<\/a> where users churn.<\/li>\n<li><strong>Page load time &amp; performance metrics<\/strong>: Measure how quickly your application loads and performs, which directly impacts user satisfaction and retention.<\/li>\n<\/ul>\n<p>Once again, surveys are an attractive option for quick and easy data. However, <strong>with close-ended survey questions, a common mistake is offering too few options<\/strong>, limiting insights. To avoid this, try rating scales to capture more nuanced data that can&#8217;t be collected through multiple-choice answers.<\/p>\n<p>Coming to <a href=\"https:\/\/userpilot.com\/blog\/product-experimentation\/\" target=\"_blank\" rel=\"noopener noreferrer\">product experimentation<\/a>, <strong>testing multiple changes at once can confuse the results<\/strong>. Instead, in your <a href=\"https:\/\/userpilot.com\/blog\/ab-testing-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B tests<\/a>, focus on one variable at a time for clear, actionable, and directly traceable insights.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/events-labeled-events_216ccc46ba2cc8f1002653a91b28a471_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/events-labeled-events_216ccc46ba2cc8f1002653a91b28a471_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/09\/events-labeled-events_216ccc46ba2cc8f1002653a91b28a471_800.png\" alt=\"Userpilot in-app event labeler\" \/><\/picture><figcaption>Along with automatically capturing events with its autocapture feature, you can also add customized labels to captured events.<\/figcaption><\/figure>\n<h2 id=\"20gq4\">How should you handle UX data?<\/h2>\n<p>Like most articles you&#8217;ll find online, our article mentions several analysis methods too. However, that doesn&#8217;t mean you go collecting all the suggested data or analyzing all those data points.<\/p>\n<p>Remember (tip number 1) &#8211; <strong>your analysis should always follow your goal<\/strong>.<\/p>\n<p>Suppose you&#8217;re having a problem with <a href=\"https:\/\/userpilot.com\/blog\/user-activation-for-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">user activation<\/a>. New signups seem to abandon your product and become inactive. So your goal here becomes &#8220;To understand the root cause behind new signups&#8217; low activation rates.&#8221;<\/p>\n<p>To gather relevant data aligned with this goal, the best collection methods could be:<\/p>\n<ul>\n<li><a href=\"https:\/\/userpilot.com\/blog\/user-feedback-survey-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">Survey them for feedback<\/a> via email, since they&#8217;ve abandoned the app.<\/li>\n<li>Segment them to watch their session recordings and find reasons explaining the inactivity.<\/li>\n<\/ul>\n<p>Beyond these options, you can also dig even deeper with hypothesis testing. So you might hypothesize that your UI isn&#8217;t working as it should.<\/p>\n<p>An appropriate test would then be to survey new signups who finished onboarding, used specific features several times, etc. Users who know your product enough to comment on its UI, thereby providing data relevant to your goal.<\/p>\n<p>That might sound like a generic tip, but I find that it warrants emphasis. Next, we can move on to the more <strong>creative tips to help guide your UX analysis<\/strong>:<\/p>\n<ul>\n<li><strong>Ask &#8220;So what?&#8221;<\/strong>: Ask &#8220;So what?&#8221; about 5-7 times for each data point. This helps youdig deeper until you uncover the final insight that&#8217;s worth reporting and acting on.<\/li>\n<li><strong>Focus on one problem at a time<\/strong>: UX analysts should work by mastering one analysis area at a time. This builds an invaluable understanding of the subject area and improves their confidence. So eventually everyone on the <a href=\"https:\/\/userpilot.com\/blog\/product-team-structure\/\" target=\"_blank\" rel=\"noopener noreferrer\">product team<\/a> has a great grasp of their <a href=\"https:\/\/userpilot.com\/blog\/data-analysis-reports\/\" target=\"_blank\" rel=\"noopener noreferrer\">data reporting<\/a>.<\/li>\n<li><strong>Hypothesis generation<\/strong>: Clearly define your problem before forming your hypotheses. Hypotheses should still be realistic, so use your domain knowledge to generate plausible and relevant ones. Lastly, start with a broader hypothesis, refining it along the way, and redefining it altogether if <a href=\"https:\/\/userpilot.com\/blog\/data-discrepancy\/\" target=\"_blank\" rel=\"noopener noreferrer\">data conflicts<\/a> arise.<\/li>\n<li><strong>Understand who you report to<\/strong>: It&#8217;s important to know who owns the data, especially when things go wrong. Clear ownership helps improve data credibility and ensures better tracking and communication when issues come up.<\/li>\n<\/ul>\n<h2 id=\"6orqh\">Conclusion<\/h2>\n<p>This entire article has advocated for focusing on qualitative data alongside quantitative.<\/p>\n<p>I end by acknowledging that methods like user interviews and surveys might be harder to execute. They take longer to implement and even longer to analyze. This is why quantitative UX data remains popular for quick and easy results.<\/p>\n<p>Despite the drawbacks, I must reiterate the need to focus on the qualitative. Remember, the goal of successful UX analysis is to move towards more user-centered decisions. And that can only be possible if you talk to your users, even if you start out small at first.<\/p>\n<p>Want to improve your UX analytics to unlock better user insights? <a href=\"https:\/\/userpilot.com\/userpilot-demo\" target=\"_blank\" rel=\"noopener noreferrer\">Get a Userpilot Demo <\/a>and see how you can launch feedback surveys and track behaviors with the customizable analytics dashboard.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Struggling to drive activation &#038; retention rates? Maybe you&#8217;re doing UX analytics wrong. Learn how to improve your UX analysis, plus tools that will help!<\/p>\n","protected":false},"author":51,"featured_media":252565,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[770],"tags":[6908,936,957,536,709],"class_list":["post-11922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ux-analytics","tag-quantitative-data","tag-usability-testing","tag-ux-analytics","tag-ux-design","tag-ux-tools"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>UX Analytics: It&#039;s Not Just About Data Collection and Methods<\/title>\n<meta name=\"description\" content=\"Struggling to drive activation &amp; retention rates? Maybe you&#039;re doing UX analytics wrong. Learn how to improve UX analysis + tools to help!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/userpilot.com\/blog\/ux-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"UX Analytics: It&#039;s Not Just About Data Collection and Methods\" \/>\n<meta property=\"og:description\" content=\"Struggling to drive activation &amp; retention rates? Maybe you&#039;re doing UX analytics wrong. Learn how to improve UX analysis + tools to help!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/userpilot.com\/blog\/ux-analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"Thoughts about Product Adoption, User Onboarding and Good UX | Userpilot Blog\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-18T08:40:41+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-01T12:27:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/ux-analytic-its-not-just-about-data-collection-and-methods_c311849084382718d1d71187a67409b7_2000.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1876\" \/>\n\t<meta property=\"og:image:height\" content=\"1228\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Sophie Grigoryan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sophie Grigoryan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/\"},\"author\":{\"name\":\"Sophie Grigoryan\",\"@id\":\"https:\/\/userpilot.com\/blog\/#\/schema\/person\/de37c23746f7aa52492f6c97b1f222cf\"},\"headline\":\"UX Analytics: It&#8217;s Not Just About Data Collection and Methods\",\"datePublished\":\"2024-12-18T08:40:41+00:00\",\"dateModified\":\"2026-04-01T12:27:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/\"},\"wordCount\":1807,\"commentCount\":0,\"image\":{\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/ux-analytic-its-not-just-about-data-collection-and-methods_c311849084382718d1d71187a67409b7_2000.png\",\"keywords\":[\"quantitative data\",\"usability testing\",\"ux analytics\",\"ux design\",\"ux tools\"],\"articleSection\":[\"UX Analytics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/userpilot.com\/blog\/ux-analytics\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/\",\"url\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/\",\"name\":\"UX Analytics: It's Not Just About Data Collection and Methods\",\"isPartOf\":{\"@id\":\"https:\/\/userpilot.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/userpilot.com\/blog\/ux-analytics\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/ux-analytic-its-not-just-about-data-collection-and-methods_c311849084382718d1d71187a67409b7_2000.png\",\"datePublished\":\"2024-12-18T08:40:41+00:00\",\"dateModified\":\"2026-04-01T12:27:25+00:00\",\"author\":{\"@id\":\"https:\/\/userpilot.com\/blog\/#\/schema\/person\/de37c23746f7aa52492f6c97b1f222cf\"},\"description\":\"Struggling to drive activation & retention rates? 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