Articles 
Enhancing Candidate Experience With Recruitment Automation Software
“New intelligent AI talent recruiting systems are going to change -insert industry- forever” is something that we hear almost on a daily basis. But often we can’t picture exactly how the buzz translates into our concrete needs or our ATS platform. Recruiting is no different, sometimes it is hard to explain the impact this AI technology will have and exactly what challenge we’re really solving.
So in this blog post, we explore in detail an example of how AI recruiting software will help your company achieve its goals more readily. Let’s take something many of us are familiar with: Finding applicants or passive candidates that fit a role when you’re dealing with a high volume of candidates.
Imagine you’ve got a database with hundreds of thousands of candidates. There are probably many good candidates in there, but it’s impossible for a recruiter to remember all of them, all of their qualifications, interests, shortcomings and the like. Recruiters, therefore, need to go and search for candidates within their own database manually.
That’s no easy task. Not only because of the number of candidates but because candidates also use different words to refer to the same or similar concepts and different industries have their own lexicon. For example, software development and computer engineering are closely related.
Some will probably resort to using boolean search to broaden the scope of their search results. Knowing how to use boolean search is a valuable and powerful skill, however statements trying to include all terms that are relevant, in all categories that are relevant, can end up being incredibly long and complex (which makes them error-prone), and inevitably will result in some missed candidates, there’s always that one term that goes unnoticed.
Knowing all the terminology associated with a field is a daunting task. Picture yourself trying to find talent in the healthcare industry when you’re unfamiliar with the field.
How Recruiting Automation Allows You To Find Qualified Candidates With a Click
Instead of having to know by heart all the terms that are interrelated, imagine if your applicant tracking system or CRM knew them already, so they could expand your search queries automatically. In other words, think of a system that searches based on what you mean, rather than looking for the exact words you typed. That’s exactly what Avature Semantic Search does.
It speeds up the search process and helps recruiters find the hidden gems in your existing databases. We built an ontology that ranks terms by how closely related they are to each other, so when a recruiter sits down and types “software developer” all the words that are “close” to it are added to the search parameters automatically. Moreover, in the future, our ontology could be customized and improved by our clients to better fit the intricacies of their industry.
And if Avature evolves to understand the terms in the job title and in the job description, what else could it do?
We’re working on what we call candidate-to-job matching. Once the system knows what you’re looking for, it can find candidates that are likely to be suited for a position based on the information it has about them.
So your recruiters can skip searching in the entire database and instead they can start by looking at the far narrower set of relevant candidates Avature found for them. The same idea will eventually extend beyond the confinements of your own database, and combined with our job board search capabilities, find you candidates anywhere.
Stronger Together: Combining the Power of AI Recruitment Software and People
Of course, with our technology recruiters are always in control of the extended search parameters. We make sure they can always see what Avature is “thinking”. Your recruiters know much more than what is contained in a job description or a job title, so if they know results would improve by removing or adding a specific term or category they can do so with ease.
The same idea could be applied in surprising ways. Why just do candidate-to-job matching? We could use the same technique to do candidate-to-candidate matching.
You can find somebody in your database that is similar to another specific person in your database. George would be perfect for the job but he’s not available? Just ask the system to find you candidates like George, it’s that simple.
Finding, screening and matching candidates to the right role is a very time-consuming and labor-intensive part of the hiring process, any help your recruiters can get will greatly improve outcomes. Just like resume parsing helped the productivity of talent acquisition teams skyrocket years ago, automation, AI and smart systems in general will help recruiters become more efficient than ever.
Your HR teams are Batman and we’re the ones in charge of designing the batmobile, their utility belt and all the tools they need to become even more effective talent hunters. Semantic Search is one of our latest additions to their toolkit and it will help recruiters find the right candidates faster than ever before.
