{"id":10146,"date":"2025-12-17T07:17:26","date_gmt":"2025-12-17T15:17:26","guid":{"rendered":"https:\/\/clarity.microsoft.com\/blog\/?p=10146"},"modified":"2025-12-17T12:28:19","modified_gmt":"2025-12-17T20:28:19","slug":"ways-clarity-is-experimenting-with-ai","status":"publish","type":"post","link":"https:\/\/clarity.microsoft.com\/blog\/ways-clarity-is-experimenting-with-ai\/","title":{"rendered":"5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics"},"content":{"rendered":"\n<p><em>By Annika Tanner, Product Manager<\/em>&nbsp;<\/p>\n\n\n\n<p>As Clarity&nbsp;<a href=\"https:\/\/clarity.microsoft.com\/blog\/clarity-turns-five\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Read more about 5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics\">celebrates its fifth anniversary<\/a>,&nbsp;we\u2019ve&nbsp;been reflecting not just on what&nbsp;we\u2019ve&nbsp;built, but on where analytics is headed next.&nbsp;&nbsp;<\/p>\n\n\n\n<p>For this second installment in our anniversary series, we wanted to share five ways&nbsp;we\u2019ve&nbsp;been experimenting with emerging AI technologies to imagine what an AI-native future of analytics could be like.&nbsp;<\/p>\n\n\n\n<p>Think of these ideas less as product roadmaps and more as creative lab experiments. They&nbsp;represent&nbsp;hands-on ways for us to test ideas, learn from new interfaces, and understand how analytics might evolve in a world where the web, apps, and user expectations are increasingly shaped by intelligent agents.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Exploring Clarity in Agentic Browsers&nbsp;<\/h2>\n\n\n\n<p><strong>Tools: Perplexity Comet, ChatGPT Atlas<\/strong>&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"557\" src=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser-1024x557.png\" alt=\"\" class=\"wp-image-10157\" srcset=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser-1024x557.png 1024w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser-300x163.png 300w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser-768x418.png 768w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser-1536x835.png 1536w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-in-agentic-browser.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Our first experiment looked at how agentic browsers, tools like Comet and Atlas, can interact with Clarity the same way a human user would.&nbsp;<\/p>\n\n\n\n<p>Seeing an agent construct a funnel or apply filters on command revealed a&nbsp;possible direction&nbsp;for analytics workflows, where agents take over repetitive setup steps, enabling users to jump faster to insights.&nbsp;<\/p>\n\n\n\n<p><strong>What these experiments taught us:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agentic browsers excel at manipulating interfaces&nbsp;and&nbsp;outlining their thought process.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>They can easily build funnels, apply data filters, navigate dashboards, create smart events, and perform multi-step, time-consuming tasks.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>They struggle with deeper data-level reasoning (e.g., modeling, interpreting complex behavioral trends).&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>In a future where external agents can perform UI tasks, the role of Copilot in Clarity might look different than it does today.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>It also pushes us to consider how Clarity\u2019s UI might evolve to become more agent-friendly over time.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Security note:<\/strong>&nbsp;<a href=\"https:\/\/thehackernews.com\/2025\/12\/zero-click-agentic-browser-attack-can.html\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Read more about 5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics\">Recent reports<\/a>&nbsp;highlight potential security risks in browser agents, including prompt injection vulnerabilities.&nbsp;We\u2019re&nbsp;watching this space closely as adoption grows.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. Reimagining Clarity\u2019s UI with Generative Design Models&nbsp;<\/h2>\n\n\n\n<p><strong>Tools:&nbsp;VisilyAI, Figma Make<\/strong>&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"614\" src=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-1024x614.png\" alt=\"\" class=\"wp-image-10158\" srcset=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-1024x614.png 1024w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-300x180.png 300w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-768x461.png 768w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-1536x922.png 1536w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/VisilyAI-and-Figma-Make-Comparison-2048x1229.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>For our second exploration, we&nbsp;provided AI-powered design tools like&nbsp;VisilyAI&nbsp;and Figma Make&nbsp;with our Clarity dashboard, then prompted the models to reimagine the Clarity interface through an AI-first lens.&nbsp;This&nbsp;wasn\u2019t&nbsp;a redesign exercise; it was a way to stretch our&nbsp;long-term thinking&nbsp;and find creative inspiration.&nbsp;&nbsp;<\/p>\n\n\n\n<p>When you ask generative UI tools to rethink analytics dashboards, you start to see a few patterns&nbsp;emerge:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Interfaces that feel more like conversations than static reports.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dashboards that&nbsp;respond&nbsp;and adapt to user intent.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Workflows that reduce clicks, friction, and guesswork.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>UI elements that change based on context, goals, or past behavior.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>These experiments helped us sketch what an AI-native analytics experience&nbsp;<em>could<\/em>&nbsp;become: one&nbsp;that\u2019s&nbsp;adaptive, conversational, and designed for agentic collaboration rather than manual digging.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Bringing Clarity into Your Workflow with MCP&nbsp;<\/h2>\n\n\n\n<p><strong>Tools: Claude, Cursor<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"651\" src=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-1024x651.png\" alt=\"\" class=\"wp-image-10159\" srcset=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-1024x651.png 1024w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-300x191.png 300w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-768x488.png 768w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-1536x977.png 1536w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Clarity-MCP-Workflow-2048x1302.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Next, we explored what happens when Clarity becomes accessible through an MCP (Model Context Protocol) server. By accessing the&nbsp;<a href=\"https:\/\/clarity.microsoft.com\/blog\/introducing-the-microsoft-clarity-mcp-server-a-smarter-way-to-fetch-analytics-with-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Read more about 5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics\">Clarity MCP server<\/a>, we were able to pull behavior insights directly into the tools people already use\u2014Claude,&nbsp;<a href=\"https:\/\/clarity.microsoft.com\/blog\/automate-clarity-reporting-mcp-cursor\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Read more about 5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics\">Cursor<\/a>, and potentially other analytics platforms like&nbsp;PostHog&nbsp;or Google Analytics.&nbsp;<\/p>\n\n\n\n<p>This reduces context switching, connects Clarity to broader workflows, and opens the door to greater interoperability across analytics ecosystems.&nbsp;<\/p>\n\n\n\n<p>It also hints at a future where Clarity becomes a&nbsp;<em>behavioral intelligence layer<\/em>\u2014one that can plug into almost any tool, editor, or environment you work in.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. Combining MCP Servers and Agentic Browsers&nbsp;<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"640\" src=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-1024x640.png\" alt=\"\" class=\"wp-image-10160\" srcset=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-1024x640.png 1024w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-300x187.png 300w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-768x480.png 768w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-1536x960.png 1536w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/MCP-Servers-and-Agentic-Browswers-2048x1280.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Tools: Comet, Clarity MCP (via Claude Desktop)<\/strong>&nbsp;<\/p>\n\n\n\n<p>After exploring agentic browsers for UI-level action and MCP servers for data-level access, we found ourselves wondering, \u201cwhat would happen if we combined the two technologies into the same workflow?\u201d&nbsp;<\/p>\n\n\n\n<p>We tested a hybrid workflow by querying Clarity data through Claude Desktop and feeding it into Comet. Comet was then able to navigate the UI, reproduce user issues, and propose&nbsp;next&nbsp;steps&nbsp;based on the given data.&nbsp;<\/p>\n\n\n\n<p>This experiment&nbsp;showcases&nbsp;the potential of combining UI-intelligent agents with data-intelligent agents\u2014offering a glimpse into a future where insights, diagnosis, and improvements could be automated end-to-end.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">5. Using Copilot&#8217;s New Functionalities&nbsp;<\/h2>\n\n\n\n<p><strong>Technologies:<\/strong>&nbsp;Copilot in Clarity&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"614\" src=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-1024x614.jpg\" alt=\"\" class=\"wp-image-10155\" srcset=\"https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-1024x614.jpg 1024w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-300x180.jpg 300w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-768x461.jpg 768w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-1536x922.jpg 1536w, https:\/\/clarity.microsoft.com\/blog\/wp-content\/uploads\/2025\/12\/Copilot-in-Clarity-Screenshots-2048x1229.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>With the latest Copilot updates, users can now&nbsp;submit&nbsp;support tickets, access documentation, and get answers to Clarity questions directly within the product:&nbsp;no extra tabs, sites, or context switching&nbsp;required.&nbsp;These improvements reflect a broader shift&nbsp;where&nbsp;Copilot is becoming not just a helper, but a central action layer inside Clarity.&nbsp;<\/p>\n\n\n\n<p>Already, Copilot can apply filters on your behalf, surface relevant guidance, and walk through key workflows.&nbsp;Looking ahead, we see an opportunity for Copilot to become a truly unified hub,&nbsp;one that automates routine steps,&nbsp;provides&nbsp;support and&nbsp;guidance, and helps users move from question to solution without ever leaving the portal.&nbsp;<\/p>\n\n\n\n<p>What These Experiments Mean for Clarity\u2019s Future&nbsp;<\/p>\n\n\n\n<p>Together, these explorations show how analytics might evolve as AI-native workflows become the norm:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agentic browsers can reduce manual steps and simplify UI-driven tasks.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Conversational UIs could make dashboards more dynamic and customizable.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MCP doors opens doors for flexible, multi-tool analytics workflows.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hybrid agent systems may automate end-to-end problem solving.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automated workflows can surface insights before you ask for them.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>None of this is the roadmap\u2014yet. But exploring these ideas now helps us understand the possibilities and prepare for&nbsp;what\u2019s&nbsp;coming.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">We\u2019d&nbsp;Love to See What You Can Do&nbsp;<\/h2>\n\n\n\n<p>As we celebrate Clarity\u2019s 5th anniversary, we also want to celebrate the creativity of our&nbsp;users.&nbsp;<strong>What&nbsp;have&nbsp;<\/strong><strong><em>you<\/em><\/strong><strong>&nbsp;experimented with?<\/strong>&nbsp;<\/p>\n\n\n\n<p>Big or small,\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7407096957846024193\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Read more about 5 Ways Clarity Is Experimenting with AI to Imagine the Future of Analytics\">we\u2019d\u00a0love to hear<\/a> what\u00a0you\u2019ve\u00a0tried with Clarity\u2014whether\u00a0it\u2019s\u00a0an automation, a workflow hack, a clever prompt, or an AI tool you paired it with.\u00a0<\/p>\n\n\n\n<p>Your experiments and collaboration will help shape the&nbsp;next five years of Clarity.&nbsp;<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For Clarity\u2019s fifth anniversary, we\u2019re sharing five AI explorations that reveal how analytics may evolve in an increasingly intelligent, agent-driven 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