The data available to talent acquisition teams is immense—so much so that it's often too much to process. From past recruitment marketing campaign successes to data on the most successful hires, there are patterns to be replicated to help ensure future success. But how do you detect those patterns, or collect the data to produce meaningful strategy?
You can create and examine spreadsheets of your company's hiring data from the last decade, but that will still provide only a limited viewpoint. From candidate tracking software to job ad board metrics, there is a lot of data available that can be harnessed for success through AI-assisted platforms. To the average talent acquisition team, the available data can be overwhelming, But for an AI-based system, the more data the better. In fact, the more data available, the better a programmatic platform can predict future success and enact automated decision-making processes to get you the best candidates.
Resume Screening Gets Technical
What’s the difference between “Social Media Marketing” and “Digital Marketing?” If only one of those terms is your keyword for screening resumes, you may miss a lot of talented candidates who simply used a synonym for your keyword. And sure, if you were to read every resume, this wouldn’t happen. But because of the way resumes are submitted and collected digitally, it is very easy to collect a lot of resumes with only a fraction actually possessing the required skills you need in your next hire—and it’s not possible for a human eye to peruse every one.
The conundrum of the contemporary HR department is just this; you need an automated process that can read every resume, but one that is also “smart” and adaptable. This is where AI-driven tech provides a solution and why it is increasingly so popular in its use. Some AI-assisted screening software platforms use Natural Language Processing, so you don’t miss out on a great candidate just because they used a synonym.
Job Ad Campaigns Are Smart And Targeted
Technology in recruitment marketing is multi-faceted: from information and ads on social media to optimizing the use of job ad boards, there’s a lot of factors to sift through to reach the right candidates in a time-efficient and cost-efficient manner. Of course, recruiters rely on time-tested strategies like referrals that can garner successful candidates, but again and again, the talent acquisition team is navigating tech and needs data to maximize efficiency.
AI-assisted tech can determine all the factors needed to make a job ad campaign successful, from the best location to post (based on job type) to optimizing your budget. Better targeting of talent through a programmatic platform helps talent acquisition teams field more qualified candidates in a time-efficient manner. So when it comes time to engage talent, interview and hire, your team will have access to top candidates.
Success Is Predictable
How well will a candidate do in a role? Prediction is hard for the average recruiter because there are a lot of variables. Even a candidate that interviews well may not prove successful long-term. Again, this is about finding the patterns that make the formula for success—based of course on data, not hunches. From a candidate’s skills to assessing organizational fit, an AI-based platform can screen resumes for these factors and help talent acquisition teams keep better talent and retain that talent.
It Can Detect Patterns Of Bias
Bias in hiring is often unintentional and can’t be detected based on a single job search. Questioning established practices or reflecting on the process can help recruiters, but ultimately, you’ll want to analyze the data long-term to ensure your organization’s hiring practices does not suffer from bias.
Greater organizational diversity will benefit the brand and company as a whole. Diversity within hiring practices has proven to be beneficial in a number of ways, and it's smart to establishing this hiring goal, whether it's not hiring everyone from University X to ensuring gender diversity at the level of leadership. AI recruiting tools can certainly replicate any biased patterns—as evidenced recently in Amazon’s recruiting tool and its seeming gender discrimination. With a lot of data, an AI tool can excise the biased decisions humans may make and determine ability only based on candidates’ skills.