{"id":249913,"date":"2024-11-17T15:47:06","date_gmt":"2024-11-17T15:47:06","guid":{"rendered":"https:\/\/userpilot.com\/blog\/acting-on-product-analytics\/"},"modified":"2026-03-20T10:11:34","modified_gmt":"2026-03-20T10:11:34","slug":"acting-on-product-analytics","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/acting-on-product-analytics\/","title":{"rendered":"Is Your Product Analytics Broken? How to Actually Act on the Data You Collect"},"content":{"rendered":"<p>You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. Despite all these efforts, you&#8217;re probably still not acting on product analytics correctly. At least that&#8217;s what Kevin O\u2019Sullivan, Head of Product Design at <a href=\"https:\/\/userpilot.com\/\">Userpilot<\/a>, has to say \u2014 and for good reason.<\/p>\n<p>Kevin has almost a decade of experience working at some of the world&#8217;s most innovative software companies. He&#8217;s passionate about creating beautiful yet simple solutions to complex problems, aiming to empower all users to self-serve.<\/p>\n<p>Now, we get to pick his brain about everything <a href=\"https:\/\/userpilot.com\/product\/product-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">product analytics<\/a> related, exploring topics like:<\/p>\n<ul>\n<li>Why is product analytics broken?<\/li>\n<li>Why actionable product analytics are important.<\/li>\n<li>How to start acting on product analytics the right way?<\/li>\n<\/ul>\n<figure class=\"video strchf-type-video regular strchf-size-regular strchf-align-center\">\n<div class=\"embed-container\">\n<div style=\"max-width: 100%; position: relative; padding-top: 56.5%;\"><iframe loading=\"lazy\" style=\"position: absolute; top: 0px; left: 0px; width: 100%; height: 100%; border: none;\" title=\"Acting on Product Analytics by Kevin O'Sullivan\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/hU5iGPl3MSM?feature=oembed\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<\/div>\n<\/figure>\n<h2 id=\"394rl\">Why product analytics fails<\/h2>\n<p>The ongoing process of <a href=\"https:\/\/userpilot.com\/blog\/user-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">tracking analytics<\/a> is riddled with errors and roadblocks that prevent teams from making informed decisions. There are three main culprits as to why:<\/p>\n<ul>\n<li><strong>Inefficiency<\/strong>: Companies might use many <a href=\"https:\/\/userpilot.com\/blog\/product-analytics-tools\/\">product analytics tools to<\/a> track monthly active users. This causes <a href=\"https:\/\/userpilot.com\/blog\/data-silos\/\" target=\"_blank\" rel=\"noopener noreferrer\">siloed data<\/a> and integration issues. Next, the analytics setup depends on engineers, which disrupts their workflow. It also draws out the process by requiring time-consuming agreement on needs and strict protocols, like QA reviews.<\/li>\n<li><strong>Prone to errors<\/strong>: All the complications and need for alignment from above make mistakes more likely in the analytics process. Additionally, <a href=\"https:\/\/userpilot.com\/blog\/product-manager-role\/\" target=\"_blank\" rel=\"noopener noreferrer\">product managers<\/a> and designers mostly want to implement product analytics themselves. However, this increases the likelihood of errors, leading to missing data and misinterpretations.<\/li>\n<li><strong>Inaction<\/strong>: Despite collecting user behavior data and <a href=\"https:\/\/userpilot.com\/blog\/data-analysis-reports\/\" target=\"_blank\" rel=\"noopener noreferrer\">building detailed reports<\/a>, teams struggle to take meaningful action. Often due to <a href=\"https:\/\/userpilot.com\/blog\/10-dysfunctions-of-product-management\/\" target=\"_blank\" rel=\"noopener noreferrer\">analysis paralysis<\/a>, overwhelming amounts of information, or a lack of clear insights that drive product decisions. Plus, in the absence of technical expertise to diagnose issues, incorrect tracking also leads to misinterpretations and misguided improvements.<\/li>\n<\/ul>\n<h2 id=\"adfbr\">Why actionable product analytics matters<\/h2>\n<p>Sure, your chosen product analytics software or approach might be wrong. But why bother fixing it? Let&#8217;s look at a great analogy to understand the answer and better explain <a href=\"https:\/\/userpilot.com\/blog\/actionable-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">&#8220;actionable&#8221; product analytics<\/a>.<\/p>\n<p>Think about Apu, the ever-diligent Kwik-E-Mart owner. He makes product decisions every day: what stock to order, how to arrange his shelves, and even which Squishee flavors to promote.<\/p>\n<p>He observes his customers, he knows their habits (who buys Duff Beer on Fridays?), and he adjusts his store accordingly.<\/p>\n<p>But imagine if Apu had access to real product analytics. Imagine if he could track:<\/p>\n<ul>\n<li><strong>Peak shopping times<\/strong>: Instead of just knowing that kids flock to the Kwik-E-Mart after school, Apu could pinpoint the exact hour and minute when Squishee sales hit their peak. This would allow him to optimize staffing levels and ensure he never runs out of those sugary delights.<\/li>\n<li><strong>Popular product combinations<\/strong>: Apu might observe that customers often buy Duff Beer and Lard Lad Donuts together, but with product analytics, he could quantify this relationship. He could then strategically place donuts near the beer fridge to encourage impulse purchases and boost sales.<\/li>\n<li><strong>Customer behavior<\/strong>: Apu could go beyond simple sales data and analyze how customers move through his store. He could identify which aisles get the most traffic, how long people linger at the magazine rack, and whether those &#8220;Try our new Krusty-O&#8217;s!&#8221; signs actually work.<\/li>\n<\/ul>\n<p>These are just a few ways acting on product analytics can empower Apu, optimizing decision-making, and enabling smarter resource management. Consider what this means for you. With the right tools, your <a href=\"https:\/\/userpilot.com\/blog\/product-team-structure\/\" target=\"_blank\" rel=\"noopener noreferrer\">product team<\/a> can move beyond blind experimentation and make impactful decisions that drive growth.<\/p>\n<h2 id=\"e64au\">How to get started with actionable analytics<\/h2>\n<p>So, if you&#8217;ve been doing product analytics wrong, what&#8217;s the &#8220;correct&#8221; way? Kevin has a few tips covering everything important.<\/p>\n<h3 id=\"5oc3r\">Choose analytics tools that minimize engineering involvement<\/h3>\n<p>When companies hear words like &#8220;data&#8221; and &#8220;analytics,&#8221; they immediately hand off that job to engineering teams. However, when it comes to product analytics, engineering teams should not be in charge of setting up analytics.<\/p>\n<p>Instead, the product team needs to retain ownership. From implementing a product analytics tool to compiling the quantitative and <a href=\"https:\/\/userpilot.com\/blog\/qualitative-data\/\">qualitative data in<\/a> a consumable format.<\/p>\n<p>That&#8217;s only possible if you <strong>opt for no-code and <a href=\"https:\/\/userpilot.com\/blog\/self-serve-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">self-service analytics tools<\/a><\/strong>, like Userpilot, in the first place. Such tools enable faster setup and iteration, so you can adjust tracking as product needs evolve without waiting on engineers.<\/p>\n<figure class=\"gallery regular\">\n<div class=\"strchf-gallery\">\n<div class=\"strchf-gallery\">\n<div class=\"strchf-gallery-preloader\" style=\"background-color: #f8f8f8; line-height: 0; margin-top: 40px; padding: 30% 0; text-align: center; width: 100%;\">\n<div style=\"background: url(data:image\/gif; base64,r0lgodlhlaasapueaodg4kurq9pt0\/j4+jubm9xv1fly8ubm5qampqenp8rkyttu1mjiyli4uoxl5ezs7kysrle3t6cgokghoehh4cpdw9vb25qamr6+vsnjyc\/pz\/hx8b29vctexmlcwra2tuli4qqqquvr666urq+vr+tk5nra2pycnj+fn\/pz8waaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaach\/c05fvfndqvbfmi4waweaaaah+qqeawd\/acwaaaaalaasaaadpji63p4wykmrvtjrzbv\/yciozgmeakqubou+cewcqqdaaueekccyuv3vv6lzzmikcslsop\/qqhrkrvqvweucach5baudaaaalakafaaoaaqaaauvodjncmceqgrokbpfkhc3wctkjx2gach5baudaaaalagaewaqaayaaauiiaach2iej0qqegoaxriujwqsxjet9xktmrxljykzserucaah+qqfawaaacwiabmaggagaaafkydwznkdngiqrg\/heuzqwauqviqiu3rtglextmxh1uq\/xizyo55giqxtgqiaifkebqmaaaascaataboabgaabsqgqaeiaz5owpojansdoc5qrdoq1diajqe63er0qsh4lsfpfqiaifkebqmaaaascaauaboabaaabrogii6kseeqvzbvwkii7baf+8a2vtvjmfkaeaah+qqfawaaacwiabmaggagaaafkcagjuroggvaomlfeju6krjovc+ank1t4wrdibdqvwi+h0lbup18gbaaifkebqmaaaascaatabsabgaabtpgmfiwaj7hca6nrlzsal1qpdzp+l4luhoq1qnm+fvmh1\/qrzamxddwjfcl4uwk222pdqeaifkebqmaaaascaatabsabgaabtmgadypajpplpvnk36v+xaiwz7bsmz32con4e+0ww1nwiaragpkaacbtlcrkvxwhakhdqeaifkebqmaaaascaatabsabgaabjpaagawebqniayddgwafzojxsleujmcw0airbsdycnginl2v2hwgddwjbif6re6x2aoqmk4cil6\/0rbach5baudaaaalakaewaaaayaaauticcojecjz1lsuzssr6kucljeil4yjf8mioro1yv+giyxkhyt0ril1yrbakpcach5baudaaaalakaewabaayaaau3iccojhbk2vgohieamuawb2etaunzhqdzmpxirlcudeqyueg0kpc3vmxgqt1ypf1xttopsmdzcaah+qqfawaaacwjabmagwagaaagmccbceguwixf4uewxcafegba8gxjq4odlfm0skvi5rew3ca933bzzhrwr+\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\/iqah+qqfawaaacwjabqadgaeaaaggcbup5mcgi9id4hgqsipbyxteyqkpuxqmqgaifkebqmaawascqauaa4abaaaag9eaqploc6webdgmq26raaaow==); display: block; height: 44px; margin: 0 auto -44px; position: relative; top: -22px; width: 44px;\"><\/div>\n<\/div>\n<div class=\"strchf-gallery-images\" style=\"display: none;\">\n<div style=\"max-width: 100%; padding: 0; margin: 0;\">\n<picture style=\"max-width: 100%; padding: 0; margin: 0;\"><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/visual-labeling-with-userpilot_d8dfc2308ae705b38f2c19f52579155b_800.png 1x, https:\/\/images.storychief.com\/account_6827\/visual-labeling-with-userpilot_d8dfc2308ae705b38f2c19f52579155b_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/visual-labeling-with-userpilot_d8dfc2308ae705b38f2c19f52579155b_800.png 1x, https:\/\/images.storychief.com\/account_6827\/visual-labeling-with-userpilot_d8dfc2308ae705b38f2c19f52579155b_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" style=\"max-width: 100%; padding: 0; margin: 0 auto 0 auto;\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/visual-labeling-with-userpilot_d8dfc2308ae705b38f2c19f52579155b_800.png\" alt=\"Visual labeling for event tracking in Userpilot\" \/><\/picture>\n<\/div>\n<\/div>\n<\/div>\n<\/div><figcaption>Userpilot&#8217;s Visual Labeler enables you to track in-app user behavior, such as clicks, text input, and form submissions, code-free and with no interference from your dev team.<\/figcaption><div class=\"strchf-gallery\">\n<div class=\"strchf-gallery\">\n<div class=\"strchf-gallery-images\" style=\"display: none;\">\n<div style=\"max-width: 100%; padding: 0; margin: 0;\"><\/div>\n<div style=\"max-width: 100%; padding: 0; margin: 0;\">\n<picture style=\"max-width: 100%; padding: 0; margin: 0;\"><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/product-usage-dashboard-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/product-usage-dashboard-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" style=\"max-width: 100%; padding: 0; margin: 0 auto 0 auto;\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/product-usage-dashboard-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif\" alt=\"Acting on product analytics by building better dashboards with Userpilot\" \/><\/picture>\n<\/div>\n<\/div>\n<\/div>\n<\/div><figcaption>With the product usage dashboard, you can track <a href=\"https:\/\/userpilot.com\/blog\/user-engagement-metrics\/\">user engagement metrics<\/a>, popular pages and features, top interactions, trends, and even browser preferences.<\/figcaption><div class=\"strchf-gallery\">\n<div class=\"strchf-gallery\">\n<div class=\"strchf-gallery-images\" style=\"display: none;\">\n<div style=\"max-width: 100%; padding: 0; margin: 0;\"><\/div>\n<div style=\"max-width: 100%; padding: 0; margin: 0;\">\n<picture style=\"max-width: 100%; padding: 0; margin: 0;\"><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/paths-filters-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/paths-filters-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" style=\"max-width: 100%; padding: 0; margin: 0 auto 0 auto;\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/paths-filters-userpilot_d8dfc2308ae705b38f2c19f52579155b.gif\" alt=\"Path analysis with Userpilot for acting on product analytics\" \/><\/picture>\n<\/div>\n<\/div>\n<\/div>\n<\/div><figcaption>Userpilot paths allow product, marketing, and customer success teams to track user actions before and after key events, providing deeper insights into behavior at critical touchpoints.<\/figcaption><div class=\"strchf-gallery\">\n<div class=\"strchf-gallery-images\" style=\"display: none;\">\n<div style=\"max-width: 100%; padding: 0; margin: 0;\"><\/div>\n<\/div>\n<div class=\"strchf-gallery-controls\" style=\"display: none;\">\n<div class=\"strchf-gallery-control-prev\" role=\"button\">\u2039<\/div>\n<div class=\"strchf-gallery-control-next\" role=\"button\">\u203a<\/div>\n<\/div>\n<div class=\"strchf-gallery-nav\" style=\"display: none;\">\n<div role=\"button\"><\/div>\n<div role=\"button\"><\/div>\n<div role=\"button\"><\/div>\n<\/div>\n<\/div>\n<\/figure>\n<p>Alternatively, though, you may be curious about popular low-code product analytics tools like Mixpanel or Amplitude. But even these tools require technical setup, making them less ideal for teams with limited technical knowledge and resources.<\/p>\n<p>So, in the end, you&#8217;re left with entirely no-code product analytics software again. That is, if you want product teams to define events, <a href=\"https:\/\/userpilot.com\/blog\/product-engagement-metrics\/\" target=\"_blank\" rel=\"noopener noreferrer\">track metrics<\/a>, and build reports all on their own.<\/p>\n<h3 id=\"9mq0b\">Know what you&#8217;re looking for before you start looking<\/h3>\n<p>Dashboards have been a fad in the SaaS sphere for a while now. If you can think of any user behavior, trend, or metric to track, just build a new dashboard for it!<\/p>\n<p>But soon enough, there comes a point where it&#8217;s just one dashboard too many. And the concept of diminishing returns sets in. This means no additional analytics offers any tangible insights and only leads to wasted effort.<\/p>\n<p>Basically, you&#8217;ll have an <a href=\"https:\/\/userpilot.com\/blog\/analytics-dashboard\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics dashboard<\/a> but no idea what it&#8217;s for.<\/p>\n<p>So, <strong>before diving straight into analytics, <a href=\"https:\/\/userpilot.com\/blog\/vanity-metrics-vs-actionable-metrics-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">define what metrics are actionable<\/a><\/strong> and aligned with your business goals. The metrics you pick will depend on your company\u2019s size, stage, and industry, and may change as the organization matures.<\/p>\n<p>For example, you could track metrics based on product lifecycle stages. Each stage will require you to ask different questions, such as:<\/p>\n<ul>\n<li><strong>Introduction<\/strong>: Is there <a href=\"https:\/\/userpilot.com\/blog\/product-market-fit\/\">a product-market fit<\/a>?<\/li>\n<li><strong>Growth<\/strong>: How do we scale?<\/li>\n<li><strong>Maturity<\/strong>: How do we become profitable?<\/li>\n<li><strong>Decline<\/strong>: How do we maintain user interest to retain customers?<\/li>\n<\/ul>\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\/11\/product-sales-stages_435ca31e643082299552405af2bddac3_800.png 1x, https:\/\/images.storychief.com\/account_6827\/product-sales-stages_435ca31e643082299552405af2bddac3_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/product-sales-stages_435ca31e643082299552405af2bddac3_800.png 1x, https:\/\/images.storychief.com\/account_6827\/product-sales-stages_435ca31e643082299552405af2bddac3_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/product-sales-stages_435ca31e643082299552405af2bddac3_800.png\" alt=\"Product lifecycle stages\" \/><\/picture><figcaption>Actionable metrics should evolve with the product sales lifecycle to address different priorities. This ensures that decisions align with each stage&#8217;s unique challenges and goals.<\/figcaption><\/figure>\n<h3 id=\"6gllu\">Adopt a revenue-focused approach to product analytics<\/h3>\n<p>Product analytics shouldn&#8217;t be treated as a side project the product team runs to check off a box and figure out something trivial like how many users clicked a CTA button. Instead, the entire organization needs to view it as a core function that informs product decisions and <a href=\"https:\/\/userpilot.com\/blog\/how-to-define-success-metrics-for-a-product\/\" target=\"_blank\" rel=\"noopener noreferrer\">measures success<\/a>.<\/p>\n<p>To make this happen, <strong>it&#8217;s good practice to tie <a href=\"https:\/\/userpilot.com\/blog\/product-usage\/\" target=\"_blank\" rel=\"noopener noreferrer\">product usage<\/a> with financial performance. <\/strong>This demonstrates the value of your analytics efforts clearly while ensuring that product strategy is aligned with overall business goals.<\/p>\n<p>For example, the organization&#8217;s goal may be to improve revenue. So your product team could choose to look at refining acquisition, retention, or <a href=\"https:\/\/userpilot.com\/blog\/product-expansion-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">expansion efforts<\/a>.<\/p>\n<p>If you <a href=\"https:\/\/userpilot.com\/blog\/customer-retention\/\">pick customer retention<\/a>, you could <a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">perform cohort analysis<\/a>, comparing retention rates for different cohorts. Then further examine the difference to uncover what specific feature users interact with causes increased stickiness in one cohort.<\/p>\n<p>Such insight could help prioritize the development of similar functionality to <a href=\"https:\/\/userpilot.com\/blog\/drive-retention\/\" target=\"_blank\" rel=\"noopener noreferrer\">drive retention<\/a> in other cohorts as well.<\/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\/11\/acquisition-cohort_4bf07efea371a674e4d627db28f85195_800.png 1x, https:\/\/images.storychief.com\/account_6827\/acquisition-cohort_4bf07efea371a674e4d627db28f85195_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/acquisition-cohort_4bf07efea371a674e4d627db28f85195_800.png 1x, https:\/\/images.storychief.com\/account_6827\/acquisition-cohort_4bf07efea371a674e4d627db28f85195_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/11\/acquisition-cohort_4bf07efea371a674e4d627db28f85195_800.png\" alt=\"Acquisition cohort analysis for acting on product analytics\" \/><\/picture><figcaption><a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\">Cohort analysis helps<\/a> identify churn points, discover which behaviors drive engagement, prioritize product changes, and make data-driven decisions to improve retention and user experience over time.<\/figcaption><\/figure>\n<h3 id=\"b4vl7\">Build a data-driven culture<\/h3>\n<p>Building a truly data-driven culture means <strong>integrating analytics into every part of your product decision-making process<\/strong>, not just creating dashboards.<\/p>\n<p>It starts with ensuring alignment across the organization. So everyone from the product to the marketing team understands the core features, user journey, and steps that lead to key value moments.<\/p>\n<p>Next, <strong>start small by <a href=\"https:\/\/userpilot.com\/blog\/event-tracking-tool\/\" target=\"_blank\" rel=\"noopener noreferrer\">tracking simple events<\/a> <\/strong>and focusing on clear, actionable paths linked to core features. This clarity makes sure everyone understands why you&#8217;re collecting the data and how it ties back to <a href=\"https:\/\/userpilot.com\/blog\/product-improvement-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">improving the product<\/a>.<\/p>\n<p>However, it\u2019s important to recognize that a data-driven culture readily welcomes both the wins and losses that data reveals. While celebrating successes is important, <strong>the losses often provide the most <a href=\"https:\/\/userpilot.com\/blog\/customer-insights\/\" target=\"_blank\" rel=\"noopener noreferrer\">valuable insights<\/a><\/strong>. They help uncover where things go wrong while identifying improvement opportunities.<\/p>\n<h2 id=\"9jouk\">Conclusion<\/h2>\n<p>We&#8217;ve covered that acting on product analytics requires focusing on actionable insights, choosing the right tools, and aligning tracked metrics with business goals.<\/p>\n<p>But there&#8217;s one last change that&#8217;s essential for prioritizing analytics at an organizational level: building trust in the data. This means that data alone should inform decisions as opposed to gut feelings, leading to better, more continuous product optimization.<\/p>\n<p>Want to improve your data-driven decision-making by better acting on product analytics? <a href=\"https:\/\/userpilot.com\/userpilot-demo\" target=\"_blank\" rel=\"noopener noreferrer\">Get a Userpilot Demo<\/a> and see how the no-code solution can help you unlock deeper insights into user behavior and product usage data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. Despite all these efforts, you&#8217;re probably still not acting on product analytics correctly. Learn the right way of acting on product analytics to minimize errors &#038; make data-driven decisions.<\/p>\n","protected":false},"author":55,"featured_media":249915,"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":[1825,346,347,348],"class_list":["post-249913","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ux-analytics","tag-product-analysis","tag-product-analytics","tag-product-analytics-software","tag-product-analytics-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>Is Your Product Analytics Broken? 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Learn how to act on product analytics to minimize errors &amp; make data-driven decisions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/userpilot.com\/blog\/acting-on-product-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=\"2024-11-17T15:47:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-20T10:11:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2024\/11\/is-your-product-analytics-broken-how-to-actually-act-on-the-data-you-collect_d22f79b830ad8d7e9adbb5382fd78289_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=\"Linh Khanh\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Linh Khanh\" \/>\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\/acting-on-product-analytics\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/userpilot.com\/blog\/acting-on-product-analytics\/\"},\"author\":{\"name\":\"Linh Khanh\",\"@id\":\"https:\/\/userpilot.com\/blog\/#\/schema\/person\/837ad6c051bf4373e42a8e0091d3d691\"},\"headline\":\"Is Your Product Analytics Broken? 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