{"id":10926,"date":"2024-09-29T11:40:01","date_gmt":"2024-09-29T11:40:01","guid":{"rendered":"https:\/\/www.uxdesigninstitute.com\/blog\/?p=10926"},"modified":"2024-09-30T00:47:48","modified_gmt":"2024-09-30T00:47:48","slug":"how-to-design-for-ai-first-products","status":"publish","type":"post","link":"https:\/\/www.uxdesigninstitute.com\/blog\/how-to-design-for-ai-first-products\/","title":{"rendered":"How to design for AI-first products"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Since the initial rise of AI, designers have found themselves navigating new challenges and opportunities, such as \u201cHow do we leverage AI to make us more efficient?\u201d and \u201cHow can we incorporate AI into our existing products to provide a better user experience?\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With AI-first products, however, designers must instead ask themselves: \u201cHow can we leverage AI to solve our users\u2019 most pressing problems?\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And, from there: \u201cHow do we build a product founded entirely on AI? How do we design for a rapidly advancing technology and make it usable and user-friendly for humans? And how do we address the ethical concerns inherent in this technology?\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Still in its infancy, this burgeoning field currently poses many more questions than answers. Let\u2019s unpack what we know so far about AI-first product design\u2014and what it means for designers.<\/span><\/p>\n\n<h2><strong>What is an AI-first product? (With examples)<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">AI-first products are built entirely on and around artificial intelligence. Rather than adding AI-powered features to an existing app or software, the entire product concept is rooted in AI.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With AI-first design, artificial intelligence is absolutely integral to the product\u2019s purpose and functionality. If you removed the AI from an AI-first product, it simply wouldn\u2019t work or provide any value.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Consider a product like ChatGPT or Midjourney. Without AI, ChatGPT or Midjourney wouldn\u2019t be able to serve its core purpose of understanding your questions or prompts and generating a response.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another example of an AI-first product is Amazon Alexa\u2014the virtual assistant behind smart devices such as the Amazon Echo speaker.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Alexa uses Natural Language Processing (NLP) and machine learning to understand verbal instructions, generate spoken responses, and continuously learn the user\u2019s preferences over time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you took that AI technology away, Alexa would cease to exist\u2014and that\u2019s the very definition of an AI-first product.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At present, there aren\u2019t many truly AI-first products on the market. But, as AI becomes increasingly widespread, we can expect a gradual shift from \u201cAI-enhanced products\u201d to \u201cAI-first products\u201d, where AI is the starting point for new concepts and solutions.\u00a0<\/span><\/p>\n<section id=\"promotion\" class=\"promotion-content-raw inlinepromo inlinepromo_product-design-programmep-1 my-4\" style=\"\">\n\t<div class=\"w-container\">\n\t\t<div class=\"row align-items-center\">\n\t\t\t<div class=\"col-md-12 promotion-info\">\n                <a class=\"link-content\" href=\"https:\/\/www.uxdesigninstitute.com\/courses\/product-design?utm_source=blog&utm_medium=%20blog_panel_text&utm_campaign=blog_promo\" style=\"\">\n                    <p>[GET CERTIFIED IN PRODUCT DESIGN (UX &amp; UI)]<\/p>\n                    <span>Enrol now in our Product Design Programme<\/span>\n                <\/a>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n<p><span style=\"font-weight: 400;\">So what will that process look like? How will AI-first product design differ from product design as we know it? Let\u2019s explore.\u00a0<\/span><\/p>\n<h2><strong>AI-first product design vs. traditional product design: What\u2019s the difference?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">At this point, it\u2019s important to emphasise that AI-first product design is still very much in its infancy. There are no hard-and-fast guidelines, processes, or principles in place, and there\u2019s still much to be figured out and discovered.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As such, it\u2019s impossible to speak definitively about how AI-first product design will differ from what we\u2019ll call traditional <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/what-is-product-design\/\"><span style=\"font-weight: 400;\">product design<\/span><\/a><span style=\"font-weight: 400;\">. But, based on what we know so far, there are already some clear and notable distinctions to be made\u2014which we\u2019ll delve into now.<\/span><\/p>\n<h3><strong>AI-first product design asks different questions<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">With AI-first product design, it\u2019s not a question of \u201cHow can we improve our existing product with AI?\u201d or \u201cHow can we design a product that effectively incorporates AI?\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Rather, it\u2019s a question of \u201cHow can AI solve this specific problem that our user group has?\u201d and \u201cHow do we present that solution in the form of an accurate, effective, and user-friendly product?\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The entire problem space, and subsequent ideation, concept development, and product design, is considered through the lens of AI. AI is the solution itself, not simply an add-on\u2014and that reframes how designers approach the entire process.\u00a0<\/span><\/p>\n<h3><strong>AI-first product design is even more collaborative and cross-functional<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Traditional product design is highly cross-functional, requiring close collaboration between <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/what-does-a-ux-researcher-do\/\"><span style=\"font-weight: 400;\">UX researchers<\/span><\/a><span style=\"font-weight: 400;\">, UX designers, <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/what-does-a-ui-designer-do\/\"><span style=\"font-weight: 400;\">UI designers<\/span><\/a><span style=\"font-weight: 400;\">, developers, and business stakeholders.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-first product design will take that up a notch, requiring input from an even broader range of experts\u2014including data scientists, AI-specialised researchers, and, in an ideal world, dedicated ethicists who are equipped to tackle critical challenges such as bias, privacy concerns, and potential risks to the user.\u00a0<\/span><\/p>\n<h3><strong>AI-first product design is data-dependent, not just data-driven\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Data is a crucial component of the <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/ux-design-process\/\"><span style=\"font-weight: 400;\">design process<\/span><\/a><span style=\"font-weight: 400;\">. The best products are informed by qualitative and quantitative data gathered through extensive user research and continuous <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/why-ux-testing-is-so-important\/\"><span style=\"font-weight: 400;\">product testing<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If traditional product design is data-driven, AI-first product design is data-dependent. AI-first products must continuously learn and adapt to provide a great user experience, and that requires ongoing data collection and analysis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the realm of AI-first, data is not just a best-practice approach; it\u2019s integral to both the design process and the AI-first product itself.<\/span><\/p>\n<h3><strong>AI-first product design grapples with more complex user journeys\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">When designing apps and websites, you\u2019re typically creating a static solution; a product or interface that won\u2019t change or vary too much from one user to the next. As such, you can usually map out fairly neat, straightforward user journeys.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With AI-first products, on the other hand, you\u2019re designing solutions that can adapt to each individual user and interaction in real-time\u2014creating a much more dynamic and personalised experience.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a result, the user journey is not so easily contained or defined. In theory, there are myriad pathways and possibilities for how the user journey might take shape\u2014and it could be completely different for each unique user.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Product designers will need to rethink their approach to user journey mapping, striving not for a finite set of clearly-defined pathways, but rather, embracing flexibility, adaptability, and the unknown.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Speaking of the unknown\u2026the differences we\u2019ve outlined here between traditional and AI-first product design are really just the tip of the iceberg. There are still many, many question marks hanging over this emerging discipline\u2014and many more differences, and indeed similarities, that will come to the fore as the field evolves and matures.<\/span><\/p>\n<section id=\"promotion\" class=\"promotion-content-raw inlinepromo inlinepromo_product-design-programmep-1 my-4\" style=\"\">\n\t<div class=\"w-container\">\n\t\t<div class=\"row align-items-center\">\n\t\t\t<div class=\"col-md-12 promotion-info\">\n                <a class=\"link-content\" href=\"https:\/\/www.uxdesigninstitute.com\/courses\/product-design?utm_source=blog&utm_medium=%20blog_panel_text&utm_campaign=blog_promo\" style=\"\">\n                    <p>[GET CERTIFIED IN PRODUCT DESIGN (UX &amp; UI)]<\/p>\n                    <span>Enrol now in our Product Design Programme<\/span>\n                <\/a>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n<h2><strong>The challenges of designing for AI-first products<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">AI-first product design holds huge potential for designers and end users alike\u2014but getting it right will be a major challenge, with plenty of trial-and-error along the way.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some of the biggest challenges associated with designing AI-first products include:<\/span><b><\/b><\/p>\n<ul>\n<li><b>User trust: <\/b><span style=\"font-weight: 400;\">How can we overcome user concerns around privacy, control, data protection, and ethics? How do we create AI-first products that feel safe and comfortable for the everyday user?<\/span><\/li>\n<li><b>Ethical considerations: <\/b><span style=\"font-weight: 400;\">We know that AI is inherently biased, so how can we detect and mitigate such biases early on? How do we actively avoid creating products that are harmful and discriminatory?<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li aria-level=\"1\"><b>Scalability: <\/b><span style=\"font-weight: 400;\">AI-first products are designed to learn and improve over time as they gather more and more data. As the product grows and evolves in complexity, how do we maintain optimal performance and usability?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Perhaps the greatest challenge of all is just how new the field is. AI-first product design doesn\u2019t yet have the tried-and-true processes, principles, and protocols that traditional product design has.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When creating AI-first products, you must simultaneously navigate uncharted technical territory, prioritise end-user needs and usability, and ensure that you\u2019re designing with ethics, inclusivity, and accessibility in mind.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s no mean feat\u2014especially in the absence of clear guidelines and norms.\u00a0<\/span><\/p>\n<p><b>So how can you tackle the task of AI-first product design? <\/b><span style=\"font-weight: 400;\">Here are some principles and best practices to keep in mind.\u00a0<\/span><\/p>\n<h2><strong>How to design for AI-first products: Guiding principles and best practices<\/strong><\/h2>\n<h3><strong>1. Focus on human-centric problem-solving<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">For all the differences between traditional and AI-first product design, there\u2019s one core tenet that remains unchanged. It doesn\u2019t matter if you\u2019re designing a mobile app, a website, or a groundbreaking AI product: you must focus on solving real, human problems and delivering genuine end-user value.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Don\u2019t fall into the trap of design for design\u2019s sake. Start as you would with any other product: understand your target audience, define the problem they need you to solve, and then figure out how AI can provide the solution.\u00a0<\/span><\/p>\n<h3><strong>2. Keep the user in control\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">One of the reasons AI is so appealing is that it has the potential to relieve us of monotonous, cumbersome, or overly time-consuming tasks\u2014improving our quality of life and freeing us up for more enjoyable activities.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the same time, this can make AI seem rather scary. Not only will users be sceptical about just how much they can trust your AI-first product; they\u2019ll also be hesitant to adopt a product that leaves them feeling redundant or out of control.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A key aspect of designing a positive AI-first user experience is to find the sweet spot between human and machine.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Don\u2019t go in with the goal of creating an AI-first product that can do absolutely everything. Even if that\u2019s technologically possible, it won\u2019t feel good for the user.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Instead, strive for a balance between efficiency and user comfort. Select just one or two key tasks that your AI-first product will remove from the user\u2019s plate while giving the user firm control over when and how those tasks are carried out.\u00a0<\/span><\/p>\n<h3><strong>3. Build trust through transparency\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">If you want people to comfortably adopt and engage with your AI-first product, you need to earn their trust\u2014and that\u2019s best won through transparency.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">First and foremost, allow the user to understand the AI behind your product, if they\u2019re interested. Provide clear, plain-language, easily findable and accessible explanations of how the AI works, what technology and data it uses, and how it makes decisions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You might include clickable UI elements within the product interface, for example, that encourage the user to explore and learn more about how the AI works at specific moments within the user journey.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the same time, be very clear about what data you\u2019re collecting, how it\u2019s being used, and what measures you\u2019ve got in place to protect and safeguard that data.<\/span><\/p>\n<h3><strong>4. Consider the ethical implications of every design decision\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Designers have a great responsibility to create products that are inclusive, accessible, and safe for all\u2014and must be especially diligent when designing AI-first products.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s well-documented that AI models inherit human biases from the data on which they\u2019re trained. This means that, whenever AI is at play, there\u2019s a risk that it will perpetuate harmful stereotypes or make biased assumptions and judgements based on what it\u2019s learned from humans.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re venturing into the realm of AI-first product design (or even adding AI to an existing product), you must approach with a great deal of awareness and caution around the potential risks.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But, more than that, you must take proactive measures to test for, recognise, and address such issues before your product is released into the public domain. This should be factored in right from the point of data collection and AI model training, through to every design decision you make along the way.<\/span><\/p>\n<h3><strong>5. Get (even more) comfortable with cross-functional collaboration\u00a0<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">We mentioned earlier how AI-first product design will require extensive cross-functional collaboration, involving not only researchers, designers, and engineers, but also data scientists and other domain-specific experts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you want to successfully navigate the field of AI-first design, you\u2019ll need to get (even more) comfortable collaborating with professionals across a variety of disciplines.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You don\u2019t need to become a data science expert. But, just as learning <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/7-programming-languages\/\"><span style=\"font-weight: 400;\">the fundamentals of programming<\/span><\/a><span style=\"font-weight: 400;\"> can facilitate collaboration between UX designers and developers, it can be useful to familiarise yourself with how data scientists and AI experts work, as well as with core concepts related to AI, machine learning, data collection, preprocessing, and analysis.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re leading a product or design team, you\u2019ll also want to make sure that you\u2019re well set-up with clear communication channels and processes, as well as tools to facilitate collaboration, project management, and documentation.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ultimately, the better prepared you are for cross-functional collaboration, the easier it will be to establish an AI-first product design process within your organisation.<\/span><\/p>\n<h2><strong>Looking to the future: What can we expect from AI in UX?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">We\u2019re confident that <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/will-ai-replace-ux-designers\/\"><span style=\"font-weight: 400;\">AI won\u2019t replace human UX designers<\/span><\/a><span style=\"font-weight: 400;\">, but it\u2019s undeniably transforming how designers work and the kinds of products they work on.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As AI technology advances and adoption increases, we expect to see more and more products enhanced and equipped with AI capabilities, as well as continued integration of <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/the-top-8-ai-tools-for-ux\/\"><span style=\"font-weight: 400;\">AI tools for UX<\/span><\/a><span style=\"font-weight: 400;\"> within the design workflow.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the same time, we can anticipate a slow but steady rise in AI-first products, calling for greater collaboration between designers and data scientists, the careful navigation of unfamiliar challenges and ethical concerns, and a reframing of the product design process as we know it.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"\/\/www.youtube.com\/embed\/fZtuvvcbDK0?si=4LZHc3cVlaRYfkMU\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2><strong>Key takeaways<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">With AI-first product design, the focus shifts from \u201cHow can we make our existing products better with AI?\u201d to \u201cHow can we design entirely AI-centric products that serve a genuine user need?\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Just like traditional product design, AI-first UX will still prioritise human-centric problem solving. However, we expect AI-first design to be:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Even more collaborative and cross-functional, spanning multiple disciplines and requiring an even greater breadth of expertise<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data-dependent (not just data-driven)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More complex with regards to the user journey, given the dynamic and adaptive nature of AI-first products\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Some of the biggest challenges of AI-first product design lie in gaining end-user trust, mitigating bias and overcoming ethical concerns, and scalability. With the field still in its infancy, addressing these challenges (and the many more that will undoubtedly arise) will require agility, experimentation, and continuous learning.\u00a0<\/span><\/p>\n<h2><strong>More industry insights\u00a0<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">AI-first product design is just one of many exciting (and challenging) shifts taking place in the industry. If you\u2019d like to learn more about how the field is evolving\u2014and what it\u2019s like to be a designer right now\u2014check out the following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/the-top-ux-design-trends-in-2024\/\"><span style=\"font-weight: 400;\">The top UX design trends in 2024 (and what they mean for designers)<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/jakob-nielsen-on-ai-and-ux\/\"><span style=\"font-weight: 400;\">AI and UX: A reality check with Jakob Nielsen<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.uxdesigninstitute.com\/blog\/is-the-ux-job-market-oversaturated\/\"><span style=\"font-weight: 400;\">Is the UX job market over-saturated? An in-depth analysis and outlook for 2024<\/span><\/a><\/li>\n<\/ul>\n<p><b>Want to level up your design skills and keep pace with this fast-moving industry? <\/b><span style=\"font-weight: 400;\">Consider the UX Design Institute\u2019s professional <\/span><a href=\"https:\/\/www.uxdesigninstitute.com\/courses\/product-design\"><span style=\"font-weight: 400;\">Product Design Programme<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Taught online at a flexible pace, and with live support and mentoring, the course covers the end-to-end product design process, spanning both UX and UI design to give you a well-rounded, industry-relevant product design skill set. The curriculum also includes a module on AI, ensuring you\u2019re equipped to navigate the design industry as it changes and evolves.\u00a0<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"\/\/www.youtube.com\/embed\/GfF-d5X0pGo?si=LV0cBWXKIwoo-e-k\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>What is an AI-first product, and how is AI-first product design different from traditional product design? Learn all about AI-first UX here.<\/p>\n","protected":false},"author":22,"featured_media":10931,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[384],"tags":[],"class_list":["post-10926","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-in-ux"],"_links":{"self":[{"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/posts\/10926","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/comments?post=10926"}],"version-history":[{"count":7,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/posts\/10926\/revisions"}],"predecessor-version":[{"id":10934,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/posts\/10926\/revisions\/10934"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/media\/10931"}],"wp:attachment":[{"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/media?parent=10926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/categories?post=10926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.uxdesigninstitute.com\/blog\/wp-json\/wp\/v2\/tags?post=10926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}