{"id":1948,"date":"2026-08-14T20:06:55","date_gmt":"2026-08-14T20:06:55","guid":{"rendered":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/?p=1948"},"modified":"2026-08-14T20:12:47","modified_gmt":"2026-08-14T20:12:47","slug":"ai-user-research-faster-accessible","status":"publish","type":"post","link":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/ai-user-research-faster-accessible.html","title":{"rendered":"How AI Is Making User Research Faster and More Accessible"},"content":{"rendered":"<style>\n.cfid{--ink:#17242f;--muted:#66727d;--line:#dfe6e9;--soft:#f5f7f8;--mist:#eaf2f4;--accent:#315f78;--accent2:#4f7f96;--dark:#122430;--dark2:#1a3a49;--white:#fff;width:100%;max-width:1290px;margin:0 auto;padding:0 20px;color:var(--ink);font-family:'Noto Sans',sans-serif;font-size:16px;line-height:1.75;overflow:clip}.cfid,.cfid *{box-sizing:border-box}.cfid img,.cfid svg{display:block;max-width:100%}.cfid h2,.cfid h3{margin:0;color:var(--dark);font-family:'Staatliches',sans-serif;font-weight:400;line-height:1.07}.cfid h2{font-size:clamp(34px,3.6vw,50px);margin-bottom:22px}.cfid h3{font-size:clamp(24px,2.3vw,30px);margin-bottom:10px}.cfid p{margin:0 0 1.08em}.cfid a{color:var(--accent);font-weight:700;text-decoration-thickness:1px;text-underline-offset:4px}.cfid .section{margin-bottom:clamp(72px,8vw,106px)}\n.cfid .intro{padding:clamp(40px,5.5vw,66px);border:1px solid var(--line);border-radius:31px;background:#fff;box-shadow:0 18px 58px rgba(18,43,56,.08)}.cfid .intro p:first-child{font-size:clamp(18px,1.55vw,21px);line-height:1.68;color:#344753}.cfid .eyebrow{display:flex;align-items:center;gap:10px;margin-bottom:14px;color:var(--accent2);font-size:12px;font-weight:800;letter-spacing:.13em;text-transform:uppercase}.cfid .eyebrow:before{content:'';width:28px;height:1px;background:currentColor;flex:0 0 28px}\n.cfid .stats{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));margin-top:30px;border:1px solid var(--line);border-radius:20px;overflow:hidden}.cfid .stat{padding:24px;background:var(--soft)}.cfid .stat+.stat{border-left:1px solid var(--line)}.cfid .stat strong{display:block;font-family:'Staatliches',sans-serif;font-size:30px;font-weight:400;color:var(--accent)}.cfid .stat span{display:block;margin-top:5px;color:var(--muted);font-size:13px;line-height:1.45}\n.cfid .split{display:grid;grid-template-columns:minmax(0,1.1fr) minmax(360px,.9fr);gap:clamp(40px,6vw,74px);align-items:center}.cfid .split.rev{grid-template-columns:minmax(360px,.9fr) minmax(0,1.1fr)}.cfid .split>*{min-width:0}.cfid .photo{min-height:535px;border-radius:28px;background-size:cover;background-position:center;box-shadow:0 20px 54px rgba(18,43,56,.14)}.cfid .photo.team{background-image:url('https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-content\/uploads\/2026\/08\/The-barrier-was-not-interest.-It-was-cost-and-time.webp')}.cfid .photo.analysis{background-image:url('https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-content\/uploads\/2026\/08\/The-credibility-question-still-matters.webp')}.cfid .photo.founders{background-image:url('https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-content\/uploads\/2026\/08\/Under-30-minutes-changes-the-operating-rhythm.webp')}\n.cfid .dark{padding:clamp(42px,5.5vw,70px);border-radius:34px;background:linear-gradient(145deg,var(--dark),var(--dark2));color:rgba(255,255,255,.86)}.cfid .dark h2,.cfid .dark h3{color:#fff}.cfid .dark .eyebrow{color:#a7cedd}.cfid .dark p{color:rgba(255,255,255,.86)}.cfid .decision{padding:20px 22px;border:1px solid rgba(255,255,255,.11);border-radius:17px;background:rgba(255,255,255,.06);color:#fff}.cfid .decision+.decision{margin-top:12px}.cfid .decision strong{display:block;margin-bottom:5px;font-family:'Staatliches',sans-serif;font-size:24px;font-weight:400;color:#fff}.cfid .decision p{margin:0;font-size:14px;line-height:1.5}\n.cfid .access{padding:clamp(42px,5.5vw,70px);border-radius:34px;background:linear-gradient(135deg,#edf3f6,#f7f2ea)}.cfid .access-grid{display:grid;grid-template-columns:minmax(0,1.12fr) minmax(300px,.88fr);gap:46px}.cfid .access-visual{overflow:hidden;border-radius:24px;background:#fff;border:1px solid rgba(49,95,120,.15);box-shadow:0 14px 40px rgba(18,43,56,.08)}.cfid .access-photo{min-height:330px;background-image:linear-gradient(180deg,rgba(18,36,48,.02),rgba(18,36,48,.18)),url('https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-content\/uploads\/2026\/08\/Under-30-minutes-changes-the-operating-rhythm.webp');background-size:cover;background-position:center}.cfid .access-caption{padding:25px 27px}.cfid .access-caption strong{display:block;margin-bottom:9px;font-family:'Staatliches',sans-serif;font-size:clamp(27px,2.8vw,36px);font-weight:400;line-height:1.12;color:var(--accent)}.cfid .access-caption p{margin:0;color:#44545e;font-size:14px;line-height:1.55}\n.cfid .method{display:grid;grid-template-columns:minmax(0,1.08fr) minmax(320px,.92fr);gap:46px}.cfid .method-note{padding:30px;border-radius:24px;background:var(--mist);border:1px solid rgba(49,95,120,.12)}.cfid .method-note>strong{display:block;margin-bottom:20px;font-family:'Staatliches',sans-serif;font-size:28px;font-weight:400;line-height:1.12;color:var(--dark)}.cfid .proof-row{display:flex;align-items:flex-start;gap:18px;padding:17px 0;border-top:1px solid rgba(49,95,120,.16)}.cfid .proof-row:first-of-type{border-top:0;padding-top:0}.cfid .proof-number{flex:0 0 82px;font-family:'Staatliches',sans-serif;font-size:34px;line-height:1;color:var(--accent)}.cfid .proof-copy{min-width:0}.cfid .proof-copy strong{display:block;margin-bottom:3px;font-family:'Noto Sans',sans-serif;font-size:14px;font-weight:800;color:var(--dark)}.cfid .proof-copy span{display:block;color:var(--muted);font-size:13px;line-height:1.5}.cfid .benchmark{margin-top:18px;padding-top:18px;border-top:1px solid rgba(49,95,120,.16);color:#44545e;font-size:13px;line-height:1.55}\n.cfid .usecases{padding:clamp(40px,5vw,64px);border-radius:31px;background:var(--soft)}.cfid .use-grid{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:16px;margin-top:28px}.cfid .use{padding:25px 24px;border:1px solid var(--line);border-radius:19px;background:#fff;color:var(--ink)}.cfid .use strong{display:block;margin-bottom:8px;font-family:'Staatliches',sans-serif;font-size:25px;font-weight:400;color:var(--dark)}.cfid .use p{margin:0;font-size:14px}\n.cfid .compare{padding:clamp(42px,5.5vw,70px);border-radius:34px;background:#fff;border:1px solid var(--line);box-shadow:0 14px 42px rgba(18,43,56,.06)}.cfid .compare-row{display:grid;grid-template-columns:1fr 1fr;gap:18px;margin-top:28px}.cfid .compare-card{padding:27px 25px;border-radius:20px;border:1px solid var(--line);background:var(--soft)}.cfid .compare-card strong{display:block;margin-bottom:8px;font-family:'Staatliches',sans-serif;font-size:27px;font-weight:400;color:var(--dark)}.cfid .compare-card p{margin:0}.cfid .compare-card.highlight{background:var(--mist);border-color:#cadbe2}\n.cfid .pricing{display:grid;grid-template-columns:minmax(0,1.1fr) minmax(280px,.9fr);gap:42px;align-items:center;padding:clamp(44px,6vw,72px);border-radius:34px;background:var(--accent);color:rgba(255,255,255,.88)}.cfid .pricing h2{color:#fff}.cfid .pricing a{color:#fff}.cfid .price-note{padding:26px;border:1px solid rgba(255,255,255,.2);border-radius:21px;background:rgba(255,255,255,.08);color:#fff}.cfid .price-note strong{display:block;font-family:'Staatliches',sans-serif;font-size:35px;font-weight:400}.cfid .final{padding:clamp(40px,5vw,62px);border-radius:30px;background:linear-gradient(135deg,#eef4f6,#f6f2eb)}\n@media(max-width:1000px){.cfid{padding:0 16px}.cfid .stats,.cfid .split,.cfid .split.rev,.cfid .access-grid,.cfid .method,.cfid .pricing{grid-template-columns:1fr}.cfid .stat+.stat{border-left:0;border-top:1px solid var(--line)}.cfid .photo{min-height:470px}}@media(max-width:640px){.cfid{padding:0 12px;font-size:15px}.cfid .proof-row{gap:13px}.cfid .proof-number{flex-basis:68px;font-size:30px}.cfid .access-photo{min-height:260px}.cfid .section{margin-bottom:62px}.cfid .intro,.cfid .dark,.cfid .access,.cfid .usecases,.cfid .compare,.cfid .pricing,.cfid .final{padding:30px 20px;border-radius:25px}.cfid .use-grid,.cfid .compare-row{grid-template-columns:1fr}.cfid .photo{min-height:350px}}\n<\/style>\n<article class=\"cfid\">\n<section class=\"section intro\">\n<p>User research used to be one of those practices that teams agreed was valuable but often could not afford to run. Recruiting participants took time. Interviews had to be scheduled. Analysis happened after the sessions. For a large research programme, that investment could be justified. For a startup deciding between two headlines on Tuesday afternoon, it often could not.<\/p>\n<p>That gap matters because most product and marketing decisions do not happen on a quarterly research calendar. They happen every week: which message to lead with, which ICP to prioritise, whether a landing page makes sense, what objections a new feature creates, or whether an offer sounds credible before paid traffic starts.<\/p>\n<p>AI is changing the economics of that work. A new generation of <a href=\"https:\/\/www.articos.com\/\" target=\"_blank\" rel=\"noopener\">synthetic user research tools<\/a> makes it possible to run structured audience research without recruiting participants for every decision, giving smaller teams a way to test assumptions that would otherwise ship on instinct.<\/p>\n<div class=\"stats\">\n<div class=\"stat\"><strong>4\u20138 weeks<\/strong><span>Traditional research can be too slow for everyday decisions.<\/span><\/div>\n<div class=\"stat\"><strong>Under 30 min<\/strong><span>Articos&#8217;s benchmark from questions to a structured report.<\/span><\/div>\n<div class=\"stat\"><strong>86%<\/strong><span>Human accuracy validated across 46 studies.<\/span><\/div>\n<\/div>\n<\/section>\n<section class=\"section split\">\n<div>\n<div class=\"eyebrow\">The accessibility problem in research<\/div>\n<h2>The barrier was not interest. It was cost and time.<\/h2>\n<p>Most teams do not avoid user research because they believe customer evidence is unimportant. They avoid it because the process has historically been expensive enough, slow enough or operationally demanding enough that research gets reserved for the biggest decisions.<\/p>\n<p>That creates a strange hierarchy. A major redesign may receive interviews, usability testing and formal analysis. The ten smaller decisions that shape the experience around it may receive none. A founder chooses positioning from a Slack thread. A growth team launches three ad concepts because the media budget is already approved. A PMM selects a homepage headline because there is no time to recruit participants before launch.<\/p>\n<p>For agencies, SaaS teams, startup founders and marketing or growth teams, the practical question is therefore not whether human research has value. It is how to add audience evidence to the much larger number of decisions that would never justify a full traditional study in the first place.<\/p>\n<\/div>\n<div class=\"photo team\"><\/div>\n<\/section>\n<section class=\"section dark\">\n<div class=\"eyebrow\">From occasional studies to everyday evidence<\/div>\n<h2>What faster research changes<\/h2>\n<p>When the cost and scheduling burden fall, research can move earlier in the decision process. Instead of asking for validation after a campaign, page or feature is already built, teams can test the decision while it is still cheap to change.<\/p>\n<div class=\"decision\"><strong>Before a landing page ships<\/strong><\/p>\n<p>Compare how different value propositions, headlines or page directions are interpreted before spending on acquisition.<\/p>\n<\/div>\n<div class=\"decision\"><strong>Before positioning hardens<\/strong><\/p>\n<p>Explore which objections, needs and language patterns appear across a defined ICP while the category story is still flexible.<\/p>\n<\/div>\n<div class=\"decision\"><strong>Before creative goes live<\/strong><\/p>\n<p>Test ad copy, email language and messaging variants before the paid campaign becomes the research method.<\/p>\n<\/div>\n<div class=\"decision\"><strong>Before a roadmap assumption becomes expensive<\/strong><\/p>\n<p>Run structured interviews around a concept or problem to identify patterns worth investigating further.<\/p>\n<\/div>\n<\/section>\n<section class=\"section access\">\n<div class=\"access-grid\">\n<div>\n<div class=\"eyebrow\">Research for the decisions that usually get none<\/div>\n<h2>AI makes research more accessible by changing the minimum viable study<\/h2>\n<p>The most important shift is not that AI can produce a report quickly. It is that the threshold for deciding whether research is \u201cworth doing\u201d becomes much lower.<\/p>\n<p>A small SaaS team does not need a large recruitment budget to test whether its onboarding promise is clear. An agency does not need to wait several weeks to pressure-test three campaign directions before presenting them to a client. A founder can explore an ICP assumption before rewriting the site around it. A growth team can compare landing-page variants before using media spend to discover which one confuses people.<\/p>\n<p>This is where synthetic research is most useful: as a layer underneath the formal studies, customer conversations and live behavioural data that already matter. It does not remove the need for human validation. It expands the number of decisions that can receive some form of audience evidence before they are shipped.<\/p>\n<\/div>\n<div class=\"access-visual\">\n<div class=\"access-photo\" role=\"img\" aria-label=\"Small product team discussing decisions around a laptop\"><\/div>\n<div class=\"access-caption\">\n<strong>Research no longer has to be reserved for the \u201cbig\u201d decision.<\/strong><\/p>\n<p>Lowering the cost and time barrier means smaller decisions can be tested too \u2014 the ones that would otherwise be made from internal opinion, historical precedent or gut feel.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"section split rev\">\n<div class=\"photo analysis\"><\/div>\n<div>\n<div class=\"eyebrow\">Speed without pretending speed is enough<\/div>\n<h2>The credibility question still matters<\/h2>\n<p>Fast synthetic research is only useful if teams understand what sits underneath the output. Bare-prompting a general-purpose language model can produce plausible answers, but plausible is not the same as behaviorally grounded research.<\/p>\n<p>Articos takes a different approach. Its <a href=\"https:\/\/www.articos.com\/science-and-methodology\" target=\"_blank\" rel=\"noopener\">methodology<\/a> is grounded in more than 100 peer-reviewed papers and uses behavioural frameworks including NEO-PI-R personality modelling, Rogers&#8217; adoption curve and ACT-R cognitive architecture. The platform reports an 86% match to findings from human research teams across 46 validation studies, benchmarked against published research from Baymard Institute and Nielsen Norman Group.<\/p>\n<p>That distinction is central to the category. Synthetic users should not be treated as generic role-play personas or as a substitute for every human conversation. Their value comes from giving teams a structured, repeatable way to surface likely patterns, objections and reactions before deciding where deeper human validation is worth the time.<\/p>\n<\/div>\n<\/section>\n<section class=\"section method\">\n<div>\n<div class=\"eyebrow\">A benchmark, not a magic number<\/div>\n<h2>Why validation matters more than the \u201cAI\u201d label<\/h2>\n<p>Teams evaluating synthetic research should ask the same questions they would ask of any research method: What is the model grounded in? How has it been tested? What does accuracy mean? Against what reference work was it compared?<\/p>\n<p>Articos says its system has been validated across 46 studies and reaches 86% human accuracy against expert-published findings. It is benchmarked against Baymard Institute and Nielsen Norman Group research, and Articos reports that its structured methodology is 7.5\u00d7 more accurate than bare-prompting the same underlying AI model.<\/p>\n<p>Those claims do not turn synthetic research into a universal replacement for fieldwork, interviews or real-world behavioural data. They do make it easier to distinguish a research system with a documented methodology from a generic prompt that happens to sound convincing.<\/p>\n<\/div>\n<div class=\"method-note\">\n<strong>Evidence behind the methodology<\/strong><\/p>\n<div class=\"proof-row\">\n<div class=\"proof-number\">86%<\/div>\n<div class=\"proof-copy\"><strong>Human accuracy<\/strong><span>Reported match to findings from human research teams.<\/span><\/div>\n<\/div>\n<div class=\"proof-row\">\n<div class=\"proof-number\">46<\/div>\n<div class=\"proof-copy\"><strong>Validation studies<\/strong><span>The methodology has been tested across 46 studies.<\/span><\/div>\n<\/div>\n<div class=\"proof-row\">\n<div class=\"proof-number\">7.5\u00d7<\/div>\n<div class=\"proof-copy\"><strong>More accurate<\/strong><span>Reported improvement over generic bare-prompting of the same underlying AI model.<\/span><\/div>\n<\/div>\n<div class=\"benchmark\">Benchmarked against published research from Baymard Institute and Nielsen Norman Group.<\/div>\n<\/div>\n<\/section>\n<section class=\"section usecases\">\n<div class=\"eyebrow\">Where smaller teams feel the difference<\/div>\n<h2>More decisions can be tested before they become expensive<\/h2>\n<div class=\"use-grid\">\n<div class=\"use\"><strong>Agencies<\/strong><\/p>\n<p>Pressure-test campaign directions, messaging and client-facing recommendations before committing production time.<\/p>\n<\/div>\n<div class=\"use\"><strong>Startup founders<\/strong><\/p>\n<p>Explore ICP assumptions, positioning and early product decisions without waiting for a formal research cycle.<\/p>\n<\/div>\n<div class=\"use\"><strong>SaaS teams<\/strong><\/p>\n<p>Run structured audience interviews around concepts, onboarding, value propositions and feature communication.<\/p>\n<\/div>\n<div class=\"use\"><strong>Marketing &#038; growth<\/strong><\/p>\n<p>Compare headlines, ad copy, emails and landing-page directions before using live traffic as the first source of feedback.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"section compare\">\n<div class=\"eyebrow\">Pre-launch testing<\/div>\n<h2>AI research changes when A\/B testing can begin<\/h2>\n<p>Traditional A\/B testing is valuable because it measures what real visitors actually do. But it starts after a team has built the variants and acquired enough traffic to produce a useful signal. That makes it a strong validation method, but often an expensive discovery method.<\/p>\n<p>An <a href=\"https:\/\/www.articos.com\/ab-testing-platform\" target=\"_blank\" rel=\"noopener\">AI A\/B testing tool<\/a> can move part of that comparison earlier. Teams can put several landing-page or messaging variants in front of a synthetic audience first, examine which version is clearer or more credible for different segments, and use those findings to decide what deserves a live traffic test.<\/p>\n<div class=\"compare-row\">\n<div class=\"compare-card\"><strong>Synthetic pre-test<\/strong><\/p>\n<p>Useful before launch, before paid traffic and while the cost of changing direction is still low.<\/p>\n<\/div>\n<div class=\"compare-card highlight\"><strong>Live A\/B validation<\/strong><\/p>\n<p>Useful after launch when real behavioural data and sufficient traffic can confirm what users actually do.<\/p>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"section split\">\n<div>\n<div class=\"eyebrow\">A different research cadence<\/div>\n<h2>Under 30 minutes changes the operating rhythm<\/h2>\n<p>Speed matters because decisions have a shelf life. If a study takes longer than the decision window, teams either delay the work or proceed without evidence. A structured report in under 30 minutes fits into a working session, a campaign review or a product-planning afternoon in a way that a multi-week recruitment cycle cannot.<\/p>\n<p>That shorter loop also makes iteration more practical. A team can test a message, revise the weak point and run the next version while the context is still fresh. The goal is not to create more research for its own sake. It is to make evidence cheap enough and fast enough that checking an assumption becomes a normal step rather than an exceptional project.<\/p>\n<\/div>\n<div class=\"photo founders\"><\/div>\n<\/section>\n<section class=\"section pricing\">\n<div>\n<div class=\"eyebrow\" style=\"color:#c5dce6\">Lowering the cost floor<\/div>\n<h2>Accessibility is also an economic question<\/h2>\n<p>Articos&#8217;s current <a href=\"https:\/\/www.articos.com\/pricing\" target=\"_blank\" rel=\"noopener\">pricing<\/a> starts at $29 for two on-demand researches, while monthly plans begin at $79. The platform also offers a seven-day free trial with two included researches and no credit card required.<\/p>\n<p>That pricing changes who can reasonably run research. A founder or small marketing team can test a live decision without turning it into a procurement exercise. An agency can use research inside more client engagements. A SaaS team can reserve traditional human research for the questions that genuinely need it while still testing many smaller decisions in between.<\/p>\n<\/div>\n<div class=\"price-note\"><strong>$29<\/strong><span>Two on-demand researches, with monthly plans starting at $79 and a seven-day trial that includes two researches.<\/span><\/div>\n<\/section>\n<section class=\"section final\">\n<div class=\"eyebrow\">The broader shift<\/div>\n<h2>Research becomes more useful when more teams can actually run it<\/h2>\n<p>The strongest case for AI in user research is not that it makes every research method obsolete. It is that it lowers the floor.<\/p>\n<p>For years, many teams have understood the value of audience evidence while operating in an environment where time, recruitment and cost meant most decisions still happened without it. Synthetic research gives those teams another layer: fast enough for weekly decisions, inexpensive enough for smaller projects, and structured enough to be more useful than asking a generic model what \u201cusers might think.\u201d<\/p>\n<p>Human research remains essential where lived experience, context, nuance and real-world behaviour need to be understood directly. But for the large volume of product and marketing decisions that would otherwise receive no study at all, AI can make research accessible enough to happen before the decision is already made.<\/p>\n<\/section>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>User research used to be one of those practices that teams agreed was valuable but often could not afford to run. Recruiting participants took time. Interviews had to be scheduled. Analysis happened after the sessions. For a large research programme, that investment could be justified. For a startup deciding between two headlines on Tuesday afternoon, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1951,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-1948","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/posts\/1948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/comments?post=1948"}],"version-history":[{"count":5,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/posts\/1948\/revisions"}],"predecessor-version":[{"id":1957,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/posts\/1948\/revisions\/1957"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/media\/1951"}],"wp:attachment":[{"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/media?parent=1948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/categories?post=1948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mediaaccess.org.au\/resources\/pro-tips\/wp-json\/wp\/v2\/tags?post=1948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}