{"id":32812,"date":"2016-01-21T14:14:12","date_gmt":"2016-01-21T22:14:12","guid":{"rendered":"https:\/\/www.smartrecruiters.com\/blog\/?p=32812"},"modified":"2017-10-17T10:03:46","modified_gmt":"2017-10-17T17:03:46","slug":"little-data-sparks-big-changes-how-analytics-transformed-hiring-at-lyst","status":"publish","type":"post","link":"https:\/\/www.smartrecruiters.com\/blog\/little-data-sparks-big-changes-how-analytics-transformed-hiring-at-lyst\/","title":{"rendered":"Little Data Sparks Big Changes: How Analytics Transformed Hiring at Lyst"},"content":{"rendered":"
The use of data in recruitment is a hot topic right now and I’ll look to expand on that in a series of posts, but you have to start somewhere. So having taken a new role last summer at Lyst<\/a>, I\u2019ll start things off by explaining the basic metrics we put in place, why we use them and what we have learnt so far.<\/p>\n Swiftly after I joined Lyst<\/a>, our team\u00a0took a long look at the processes and reporting before\u00a0working out what was would be useful for us. We wanted to get an understanding of the process in a quantifiable manner to uncover small\u00a0problems and get a broad view of trends. In order to find out we needed to be asking the right questions.<\/p>\n Data is necessary to understand the performance of hiring processes and to improve them. From understanding the dropout ratio by stage, to the average scores by each interviewer to feedback on the process from candidates; if all of this available information is collected correctly it can be used to improve candidate experience, speed up processes and increase the quality of interview delivery. The end goal being the best hire possible for any role in your company, at any time in an efficient manner.<\/p>\n Each company is different, but it appeared our\u00a0major pain points were the process, the candidate experience, the costs and the lack of management visibility. Consequently, we decided we wanted to know answers to the following questions:<\/p>\n We then started to build out a selection\u00a0of metrics that allow us to not only improve the internal team performance, but also to provide wider BI to the business. Below, I have set out the metrics we chose and why we chose them.<\/p>\n Total business size:<\/strong> Not strictly a recruiting metric, but we chose it as it gave the management team a nice overview of the overall growth patterns and allowed them to see the scale of hiring as a snapshot. Most importantly it allowed for a quick view of departmental growth within the business as a whole.<\/p>\n <\/a><\/p>\n <\/p>\n Cost per hire by month:<\/strong>\u00a0We chose this as it\u2019s always a big one in venture backed businesses, as you need to prove team value to the business and your ability to keep down costs to the board. We were able to dramatically decrease the cost of hire from a peak in February, whilst also decreasing overall spend. It tells little in terms of future prediction, but we can now benchmark against the\u00a0trends in H2.<\/p>\n <\/a><\/p>\n Hires by source:\u00a0<\/b>We chose this to understand what had been the most useful sources in the past, then ideally to\u00a0inform our choices for the future. We learnt quickly that a combination of advertising, referrals and headhunting was the most effective route to hire, with\u00a0the simplest route being advertising.\u00a0It turns out, people wanted to work here and applied!<\/p>\n <\/a><\/p>\n Candidate Experience: <\/strong>This was an easy one. You always need to track this. If you don\u2019t, you have no idea what the process looks like to your customers. We set this up through a simple Google form passed to every candidate that we engaged with, successful or unsuccessful.<\/p>\n There were 4 criteria:<\/p>\n The scoring was a 1-4 scale and there is a noted improvement as\u00a0both the quantitative and qualitative feedback was taken onboard and put into practice. It is also worth noting that 16 is the maximum score on the following graph.<\/p>\n <\/a><\/p>\n Internal Metrics<\/b><\/p>\n Aggregate Interview Scores:<\/strong> The aim here was to track our scores in a fairly simplistic manner. We set the score range as 1-4 and defined them as:<\/p>\n This allowed us to understand at the highest level the decisions being made by our hiring teams. We aimed to hit in the range of 2.5-3.0 as this included hiring manager phone screens (we scored 2.8 for the year). This means that for all the scores given, 53.5% were an immediate hire and 13.2% were listed as amazing. Consequently,\u00a0the candidate quality throughput is high and again it sets our benchmark for 2016.<\/p>\n <\/a><\/p>\n Scores by Recruiter \/ month:\u00a0<\/b>The aim was to understand the performance of the internal recruitment team. We did this by tracking the average scores hiring managers were giving to candidates in the process, by recruiter and by month. We could then track alongside the average scores by hiring manager to see if the recruiters needed to be better at screening or the managers needed to be better at interviewing. We tracked this monthly alongside the total number of recorded feedback points to give a broad view of throughput volume.<\/p>\n It\u2019s a little small, but for the purposes of this, green is good, red is bad. Basically we hit our proposed target (2.8 average).<\/p>\n <\/a><\/p>\n Two that got away:<\/strong>\u00a0We weren\u2019t able to track hiring stage ratios or withdrawal \/ rejection reasons at the time. The ATS we were using at the time made it very tricky to track these, but we\u2019ll come back to that as we recently moved to the SmartRecruiters Talent Acquisition Platform.<\/p>\n If you take anything away from this, it should be to think about the metrics that work for you. Generic lists of \u201cTop 10 recruitment metrics to track\u201d mean nothing.<\/p>\n I have\u00a0explained what worked for us and why, but every company will need to find their own (aside from candidate experience, definitely use that one). There are plenty of other metrics we started tracking that we soon stopped and plenty we didn\u2019t we wish that we had started tracking sooner.<\/p>\n It is, however,\u00a0important to think not only of the recruitment metrics, but also the impact on the wider business as whole. Does your CEO know that you give a great experience to your candidates and can measure it? I promise you, they\u2019ll be happy when they find out. They\u2019ll be even happier when you can increase the number of hires whilst reducing costs\u2026<\/p>\n In addition to this, a lot of the metrics we started out with are historically focused, however we now want to move towards more predictive analytics that will allow us to track hiring performance against peoples performance when they are in a role.<\/p>\n #####<\/p>\n This article was written by Matt Bradburn<\/a>, Talent Acquisition Manager of Lyst,\u00a0and was originally published in his personal blog<\/a>.<\/p>\n Lyst<\/a> is a SmartRecruiters customer and has been using the TA Platform since fall of 2015.<\/p>\n All images featured in this blog post are a courtesy of Matt Bradburn’s blog –\u00a0brdbrn.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"The use of data in recruitment is a hot topic right now and I’ll look to expand on that in a series of posts, but you have to start somewhere. So having taken a new role last summer at Lyst, I\u2019ll start things off by explaining the basic metrics we put in place, why we […]","protected":false},"author":286,"featured_media":32823,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"episode_type":"","audio_file":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","date_recorded":"","explicit":"","block":"","filesize_raw":""},"categories":[840,842],"tags":[],"series":[],"acf":[],"aioseo_notices":[],"episode_featured_image":"https:\/\/www.smartrecruiters.com\/blog\/wp-content\/uploads\/2016\/01\/spark.jpeg","episode_player_image":"https:\/\/www.smartrecruiters.com\/blog\/wp-content\/uploads\/2020\/01\/Podcast-icon.jpg","download_link":false,"player_link":false,"audio_player":false,"episode_data":{"playerMode":"dark","subscribeUrls":{"apple_podcasts":{"key":"apple_podcasts","url":"https:\/\/podcasts.apple.com\/us\/podcast\/hiring-success-podcast\/id1472174987","label":"Apple Podcasts","class":"apple_podcasts","icon":"apple-podcasts.png"},"google_podcasts":{"key":"google_podcasts","url":"https:\/\/podcasts.google.com\/?feed=aHR0cHM6Ly9oaXJpbmdzdWNjZXNzcG9kY2FzdC5jYXN0b3MuY29tL2hpcmluZy1zdWNjZXNzLXBvZGNhc3Q","label":"Google Podcasts","class":"google_podcasts","icon":"google-podcasts.png"},"soundcloud":{"key":"soundcloud","url":"https:\/\/soundcloud.com\/smartrecruiters\/sets\/hiring-success-podcast-1","label":"SoundCloud","class":"soundcloud","icon":"soundcloud.png"},"spotify":{"key":"spotify","url":"https:\/\/open.spotify.com\/show\/3bM8YzLjM2G9qJXLBBySaB","label":"Spotify","class":"spotify","icon":"spotify.png"}},"rssFeedUrl":"https:\/\/www.smartrecruiters.com\/blog\/feed\/podcast","embedCode":"What we wanted to know<\/b><\/h3>\n
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BI Metrics<\/b><\/h3>\n
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What we learnt \/ What we\u2019ll do next<\/b><\/h3>\n
Little Data Sparks Big Changes: How Analytics Transformed Hiring at Lyst<\/a><\/blockquote>