{"id":1615,"date":"2026-08-11T09:24:48","date_gmt":"2026-08-11T00:24:48","guid":{"rendered":"https:\/\/est.haro-inc.com\/?p=1615"},"modified":"2026-08-11T09:24:49","modified_gmt":"2026-08-11T00:24:49","slug":"vietnam-turnover-warning-signs","status":"publish","type":"post","link":"https:\/\/est.haro-inc.com\/en\/talent-en\/vietnam-turnover-warning-signs\/","title":{"rendered":"Catching Turnover Before It Happens \u2014 The Warning Signs Hidden in Your HR Data"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">&#8220;One of our best people walked in one morning and handed me a resignation letter, completely out of the blue.&#8221; It&#8217;s a story you hear again and again at Japanese companies operating in Vietnam. But the truth is that most departures are <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>never actually &#8220;sudden.&#8221;<\/strong><\/span> People who leave start giving off signals months before they resign. The problem is that our instincts alone aren&#8217;t reliable enough to catch them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What&#8217;s more, the things people commonly think of as &#8220;signs of an imminent departure&#8221;\u2014a resume left out on a desk, showing up in an interview suit, a sudden increase in doctor&#8217;s visits\u2014are, in fact, <span class=\"swl-marker mark_orange\">not warning signs at all in any scientific sense<\/span>. The real signals appear much more quietly, buried in your HR data. In this article, we explain the <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>&#8220;pre-departure signs&#8221; you can capture with data, not gut feeling<\/strong><\/span>, backed by research evidence. This is the second installment in our &#8220;Retention &amp; Reducing Turnover&#8221; series. Where the <a href=\"https:\/\/est.haro-inc.com\/en\/talent-management-en\/vietnam-employee-turnover-benchmark\/\">first installment, &#8220;Vietnam&#8217;s Turnover Rate in Numbers,&#8221;<\/a> covered the big picture, diagnosis, and countermeasures, this article zeroes in on one thing\u2014early detection\u2014and goes deep.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Why Catch the Early Signs \u2014 Once the Resignation Lands, It&#8217;s Too Late<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Early detection matters because in Vietnam, <strong>trying to retain someone after the resignation letter is on the table is usually too late<\/strong>. As we saw in the first installment, Vietnam is a high-mobility market where <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>64.8% of employees are considering a job change within six months<\/strong><\/span> (Talentnet-Mercer). On top of that, Vietnam&#8217;s headhunting market has recently <span class=\"swl-marker mark_orange\">expanded from around 200 firms to roughly 500<\/span> (Talentnet), so the more in-demand the role, the more external offers an employee is exposed to\u2014and the shorter the window between the first warning sign and an actual departure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, turnover is not something that simply can&#8217;t be prevented. According to Gallup, <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>42% of voluntary turnover was preventable<\/strong><\/span>\u2014in other words, the manager or the organization could have done something. Furthermore, <strong>45% of people who left had almost no meaningful conversation with their manager in their final three months<\/strong>. Flip that around, and it means there is a very real category of departures that could have been prevented if the warning signs had been caught and a conversation had happened before the resignation. That is exactly why capturing &#8220;pre-departure signs&#8221; is worth the effort.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. Myth vs. Reality \u2014 What the Real &#8220;Pre-Departure Signs&#8221; Are<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before we talk about the real signals, we first need to <strong>debunk some widely believed myths<\/strong>. Get this wrong, and you&#8217;ll end up monitoring things you shouldn&#8217;t while missing the signs that actually matter.<\/p>\n\n\n\n<div class=\"wp-block-group is-style-big_icon_caution\"><div class=\"wp-block-group__inner-container\">\n<p class=\"wp-block-paragraph\"><strong>These Are NOT Warning Signs \u2014 Common Misconceptions<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Leaving a resume out on the desk,&#8221; &#8220;showing up in an interview suit,&#8221; &#8220;a sudden increase in doctor&#8217;s visits&#8221;\u2014<span class=\"swl-marker mark_orange\">these visible behaviors are, in fact, not warning signs of turnover at all<\/span>, as clearly disproven in research by Gardner &amp; Hom (2016) of Cornell University. Managers who treat these as &#8220;red flags&#8221; are relying on assumption; the study found no statistical link between these behaviors and actual departures. Monitoring based on gut instinct only generates false alarms.<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">So what are the real signs? The same research identified <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>13 &#8220;pre-quitting behaviors.&#8221;<\/strong><\/span> They included a decline in work performance and productivity, reduced engagement with the team and the job, doing only the bare minimum, more frequent expressions of dissatisfaction, and a loss of enthusiasm and idea generation. Employees whose scores on these behaviors <span class=\"swl-marker mark_orange\">reached an average of 4.2 or higher were reported to be roughly twice as likely to leave<\/span> compared with those who did not.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In other words, the genuine signals are not &#8220;flashy, visible behaviors&#8221; but rather a <strong>quiet decline in engagement and output<\/strong>. Precisely because they aren&#8217;t dramatic, they are easy to overlook\u2014which is exactly why capturing them with data matters. Academic meta-analysis (Rubenstein et al. 2018) likewise confirms that the strongest leading indicators are <strong>the intent to leave and job-search behavior itself<\/strong>, followed by changes in performance and attitude.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Different Types of Signs Appear at Different Lead Times<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One thing worth keeping in mind when tracking warning signs with data is that <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>&#8220;how many months in advance a sign appears&#8221; varies by the type of sign<\/strong><\/span>. The earlier a sign shows up, the larger the window you have to intervene.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Type of Sign<\/th><th>How Long Before Departure<\/th><th>Source<\/th><\/tr><\/thead><tbody><tr><td>Decline in engagement (involvement, loyalty)<\/td><td><strong>~9 months before<\/strong><\/td><td>Peakon (analysis of 33M+ data points)<\/td><\/tr><tr><td>Decline in performance \/ productivity<\/td><td><strong>2\u20136 months before<\/strong><\/td><td>Ko &amp; Trevor 2026<\/td><\/tr><tr><td>Pre-quitting behaviors (lower engagement, more dissatisfaction)<\/td><td><strong>Predicts departure within 12 months<\/strong><\/td><td>Gardner &amp; Hom 2016<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">In Peakon&#8217;s &#8220;9-Month Warning,&#8221; which analyzed more than 33 million data points, it was shown that <span class=\"swl-marker mark_orange\">departing employees&#8217; sense of loyalty and perceived managerial support begin to decline continuously about nine months before they leave<\/span>. Performance decline, by contrast, appears much closer to the departure\u2014becoming significant 2\u20136 months out (Ko &amp; Trevor 2026). If you can catch the shift in engagement early, you have more than half a year to act; by the time performance decline is visible, your time is already running short.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. The Concrete Signs That Show Up in Your HR Data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">So where in your day-to-day HR data should you actually look? Here we organize the observable warning signs into four categories\u2014<strong>attendance, leave, payroll, and evaluation<\/strong>\u2014with a note on &#8220;why it&#8217;s a warning sign&#8221; for each.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Attendance Signs<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A sudden spike in overtime<\/strong>: A heavier workload leads to burnout, which can be a trigger for departure.<\/li>\n\n\n\n<li><strong>A sudden drop or irregularity in overtime<\/strong>: An employee who used to work overtime suddenly leaving on time day after day can be a sign of declining commitment to the job.<\/li>\n\n\n\n<li><strong>Increased absenteeism<\/strong>: Meta-analysis finds that <span class=\"swl-marker mark_orange\">absenteeism (\u03c1=.23) is a stronger leading indicator of turnover than lateness (\u03c1=.14)<\/span>. Concluding that &#8220;if lateness increases, it&#8217;s automatically dangerous&#8221; is a mistake\u2014absenteeism should be weighted more heavily.<\/li>\n\n\n\n<li><strong>Unlogged overtime<\/strong>: A situation where overtime is actually happening even though it hasn&#8217;t been filed can be a sign of dissatisfaction with the system or an unreasonable workload.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Leave Signs<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Leave is an indicator where you should <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>watch the two extremes<\/strong><\/span>. An employee who <strong>continues to take 0% of their paid leave<\/strong> is at risk of burnout. Conversely, an employee who <strong>never used to take leave suddenly starting to burn through it<\/strong> can indicate a job search or preparation to resign. Rather than looking at just one end, what matters is paying attention to any change that is &#8220;unlike usual&#8221; for that particular person.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Payroll Signs<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A downward trend in take-home pay<\/strong>: When take-home pay keeps falling due to reduced overtime, higher deductions, and the like, it feeds dissatisfaction and the desire to change jobs.<\/li>\n\n\n\n<li><strong>High dependence on overtime<\/strong>: A situation where base pay is low and income is propped up by overtime is two sides of the same coin as dissatisfaction with base pay.<\/li>\n\n\n\n<li><strong>A gap versus the internal average<\/strong>: Employees paid below the average for their grade or department are prone to a sense of unfairness driven by comparison.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Evaluation Signs<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Declining or stagnant ratings<\/strong>: A falling evaluation score\u2014or one that stays flat for a long time\u2014reflects declining motivation or a career that has hit a dead end.<\/li>\n\n\n\n<li><strong>A drop in rank or role<\/strong>: The period immediately after a demotion or a reduction in role tends to carry a heightened risk of departure.<\/li>\n\n\n\n<li><strong>A gap between evaluation and reward<\/strong>: When someone earns high ratings but no raise or promotion follows, it translates directly into the feeling of &#8220;not being valued.&#8221;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">5. Don&#8217;t Judge on a Single Sign \u2014 Improve Accuracy by &#8220;Combining&#8221; Them<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We&#8217;ve listed many signs so far, but there is an important caveat. <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>You must not conclude &#8220;this person is leaving&#8221; from a single sign alone.<\/strong><\/span> Not everyone whose overtime drops is going to quit, and taking paid leave doesn&#8217;t necessarily mean someone is preparing to resign. Judging on a single indicator generates a flood of false alarms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The key to greater accuracy is to <span class=\"swl-marker mark_orange\">look at multiple signals in combination<\/span>. In fact, using its AI &#8220;Watson,&#8221; IBM was reported to have <strong>combined more than 34 HR variables to predict departures within six months at roughly 95% accuracy<\/strong>, and as a result <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>cut turnover-related costs by about $300 million<\/strong><\/span> (CNBC). Signs that are weak on their own become powerfully predictive when multiplied together.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Doing this by hand, however, is unrealistic. Evaluating every employee across dozens of indicators\u2014including the changes over time\u2014every month is a task that&#8217;s next to impossible to run manually at a company of several hundred people. <strong>That is precisely where machine learning and automated analysis come in.<\/strong> Some studies suggest that introducing predictive analytics can cut voluntary turnover by up to 20%, but in any case, &#8220;looking at many indicators in combination, continuously&#8221; simply cannot happen without a system to support it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">6. What to Do Once You Catch a Sign \u2014 Detection Is Only the Entry Point<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Even if you detect a warning sign, <strong>detection alone won&#8217;t stop the departure<\/strong>. Early detection is only the entry point; it only means something when it connects through to the actions that follow. The basic flow has three steps.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>(1) Detect the signs with data<\/strong>: Identify the high-risk employees and the factors driving that risk.<\/li>\n\n\n\n<li><strong>(2) Manager 1-on-1s and stay interviews<\/strong>: Instead of asking after they&#8217;ve left, ask directly while they&#8217;re still on board\u2014&#8221;what&#8217;s keeping you here, and what&#8217;s frustrating you?&#8221;<\/li>\n\n\n\n<li><strong>(3) Individual review of compensation, career path, and workload<\/strong>: Take targeted action based on the factors you&#8217;ve surfaced.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">At the center of this flow is the <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>direct manager<\/strong><\/span>. Gallup finds that <span class=\"swl-marker mark_orange\">70% of the variance in team engagement can be explained by the manager<\/span>. Manager-driven dialogue is the single biggest lever for stopping turnover. Some studies suggest companies that conduct stay interviews saw turnover fall by 14.9%, yet only 17.2% of companies actually run them\u2014making it a measure with a great deal of untapped upside for most organizations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In Vietnam, there are particular moments when you should be especially deliberate about holding these conversations: <strong>around the 6-month mark after joining (when early departures cluster)<\/strong>, <strong>in-demand roles (the segment facing strong external pull)<\/strong>, and <strong>the quarter before Tet (Lunar New Year)<\/strong>.<\/p>\n\n\n\n<div class=\"wp-block-group is-style-big_icon_good\"><div class=\"wp-block-group__inner-container\">\n<p class=\"wp-block-paragraph\"><strong>A Vietnam-Specific Consideration \u2014 Tet and the Turnover Cycle<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In Vietnam, the typical turnover pattern has long been a <span class=\"swl-marker mark_orange\">&#8220;golden window&#8221; in which employees collect their Tet bonus and then resign, changing jobs after the holiday<\/span>. It&#8217;s rational behavior\u2014move only after receiving something you&#8217;re entitled to, the bonus. For that reason, the quarter before Tet is the period when you should be most sensitive to warning signs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That said, even this &#8220;typical pattern&#8221; isn&#8217;t monolithic. For 2026, some reports point to a trend toward <strong>post-Tet turnover actually stabilizing<\/strong>, against a backdrop of rising living costs and other factors. Rather than taking the old conventional wisdom at face value, it&#8217;s important to verify the actual cycle with your own data.<\/p>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">7. Conclusion \u2014 From Gut Feeling to Proactive, Data-Driven Retention Management<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Turnover doesn&#8217;t happen out of nowhere one day; people who leave have been leaving signs in your HR data for months beforehand. Capture those signs <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>with data rather than gut feeling, and you can act before the resignation letter arrives<\/strong><\/span>\u2014that is the core message of this article. Let&#8217;s recap the key points.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Look at data, not myths<\/strong>: A resume left out or an interview suit is not a warning sign. The real signals are a quiet decline in engagement and output.<\/li>\n\n\n\n<li><strong>Different types of signs have different lead times<\/strong>: Declining engagement shows up ~9 months out, performance decline 2\u20136 months out. The earlier the sign, the larger your window.<\/li>\n\n\n\n<li><strong>Combine, don&#8217;t judge alone<\/strong>: A single indicator produces too many false alarms. Multiply multiple signals together to raise accuracy.<\/li>\n\n\n\n<li><strong>Detection is the entry point\u2014follow through to action<\/strong>: Connect detection to manager 1-on-1s and stay interviews, then to individual reviews of compensation, career, and workload.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group is-style-big_icon_good\"><div class=\"wp-block-group__inner-container\">\n<p class=\"wp-block-paragraph\"><strong>Make the Warning Signs Visible \u2014 with EST<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As this article has shown, manually tracking every employee across a large number of indicators\u2014including the changes over time\u2014every month is simply not realistic. That is exactly why you need <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>centralized HR data and automated analysis of it<\/strong><\/span>. When your data is scattered across attendance software, Excel, and paper request forms, you can neither look at the signs in combination nor track risk continuously.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;<strong>EST<\/strong>,&#8221; an HR management system built for Vietnam&#8217;s labor practices, centralizes attendance, payroll, and evaluation data on a single platform, and comes equipped with <span class=\"swl-marker mark_orange\">&#8220;HR Insight,&#8221; where AI analyzes the accumulated data every month to detect high-turnover-risk employees early<\/span>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The warning signs cited in this article\u2014<strong>spikes in overtime, disrupted attendance, low leave usage, stagnant evaluations<\/strong>, and more\u2014are visualized by EST <span class=\"swl-inline-color has-swl-deep-01-color has-inline-color\"><strong>as quantitative risk scores<\/strong><\/span>. Because it also presents risk trends by department, identifies high-risk individuals, breaks down the risk factors, and surfaces signs of overwork (burnout), you can see at a glance where the risk is and why.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once you can make the warning signs visible, managers can move before the resignation letter arrives. Move from retention efforts driven by gut feeling to <strong>proactive, data-driven retention management<\/strong>. Start by capturing your own turnover signs in &#8220;numbers.&#8221;<\/p>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Related Articles<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/est.haro-inc.com\/en\/talent-management-en\/vietnam-employee-turnover-benchmark\/\">Vietnam&#8217;s Turnover Rate in Numbers (Retention Series, Part 1)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/est.haro-inc.com\/en\/payroll-en\/vietnam-minimum-wage-social-insurance-2026\/\">Vietnam&#8217;s 2026 Minimum Wage and Social Insurance Caps<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/est.haro-inc.com\/en\/attendance-en\/vietnam-leave-entitlement-guide\/\">Guide to Vietnam&#8217;s Leave Entitlement System<\/a><\/li>\n<\/ul>\n\n\n<div class=\"p-blogParts post_content\" data-partsID=\"983\">\n<div class=\"swell-block-fullWide pc-py-60 sp-py-40 has-bg-img alignfull lazyload\" style=\"background-color:rgba(247, 247, 247, 0.41)\" data-bg=\"http:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/DSC_1122.jpg\"><div class=\"swell-block-fullWide__inner l-article\">\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"400\" src=\"http:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta2.png\" alt=\"\" class=\"wp-image-504\" srcset=\"https:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta2.png 600w, https:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta2-300x200.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<div class=\"swell-block-button blue_ is-style-btn_normal\"><a href=\"https:\/\/est.haro-inc.com\/en\/download\/\" class=\"swell-block-button__link\"><span>Download Document<\/span><\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"400\" src=\"http:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta1.png\" alt=\"\" class=\"wp-image-505\" srcset=\"https:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta1.png 600w, https:\/\/est.haro-inc.com\/wp-content\/uploads\/2025\/11\/cta1-300x200.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<div class=\"swell-block-button green_ is-style-btn_normal\"><a href=\"https:\/\/est.haro-inc.com\/en\/contact\/\" class=\"swell-block-button__link\"><span>Contact<\/span><\/a><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>&#8220;One of our best people walked in one morning and handed me a resignation letter, completely out of the blue.&#8221; It&#8217;s a story you hear again and again at Japanese companies operating in Vietnam. But the truth is that most departures are never actually &#8220;sudden.&#8221; People who leave start giving off signals months before they [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1507,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"swell_btn_cv_data":"","_locale":"en_US","_original_post":"https:\/\/est.haro-inc.com\/?p=1612","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[38],"tags":[],"class_list":["post-1615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-talent-en","en-US"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/est.haro-inc.com\/wp-content\/uploads\/2026\/07\/tm2.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/posts\/1615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/comments?post=1615"}],"version-history":[{"count":1,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/posts\/1615\/revisions"}],"predecessor-version":[{"id":1616,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/posts\/1615\/revisions\/1616"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/media\/1507"}],"wp:attachment":[{"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/media?parent=1615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/categories?post=1615"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/est.haro-inc.com\/wp-json\/wp\/v2\/tags?post=1615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}