By: Pranav Ramesh

AI Resume Review vs Traditional Candidate Evaluation 

The Covid-19 pandemic caused a wave of unprecedented layovers and resignations, making it almost impossible for hiring managers to fill in the vacancies in due time. Traditional recruiting tools are no longer sufficient. Many recruiters have started using AI resume reviewing to optimize the process.  

This can shorten the hiring cycle by as much as 60%, seeing as AI for recruitment can identify talent at scale and provide a shortlist of the best-qualified candidates in a matter of minutes.   

Let’s start by understanding what AI or a human recruiter looks for in a resume. 

How Does AI Resume Review Work?  

AI recruiting software functions on input — meaning data, and the volume and quality of that data determine how efficient the AI is. Usually, it has to screen several hundred to a couple of thousand resumes to find the right candidate as accurately or better than a human recruiter. 

This is why AI for recruitment is primarily fed keywords as input so it eventually starts to evaluate candidates based on the traits it meets in the majority of the resumes. This means that the AI resume review is based on: 

Education

Everyone has their education level mentioned in their resume and this aspect usually constitutes a key requirement in all job descriptions. The AI recruiting tools will gather data firstly about the education level of those who already filled the opening in recent years and secondly, of the new applicants. It will then estimate the perfect education level that a candidate should have for the job.  

Candidate Experience 

Another aspect that is mentioned in resumes is skills developed at previous jobs. AI recruiting software will not only look at the job requirements to find out the main skills that are an absolute necessity in carrying the job but also analyze what experience has proven to lead to high employee retention and satisfaction in the last years.  

Certifications  

Finally, the AI resume review will take into consideration the certifications – either language or hard skills, that attest to the candidate’s experience and make them the perfect fit. 

How Does It Differ From The Traditional Candidate Evaluation?  

How AI resume review works is easy to understand when looking at the traditional candidate evaluation methods. The AI recruiting software gets fed large amounts of data, which it evaluates rapidly using keywords.  

This provides human recruiters with a shortlist of applicants to choose from, making their job process faster and more efficient. Further on, besides looking at experience and education, the human recruiter may also look at: 

Extracurricular Activities 

Not everyone mentions their performances outside of school and work in their resume because they think they’re not relevant. But a hiring manager might see athletic achievements in a candidate’s resume and think the candidate has proven discipline and reliability. 

Cultural Background 

If one candidate comes from Japan and the other from France, the AI recruiting tools will most likely not see a difference between the candidates, but a hiring manager might. Certain nationalities and cultural backgrounds can sometimes either oppose or be the perfect fit for the company culture.  

Personal Interests 

Hiring managers also look at personal interests and habits to spot key skills. For example, someone who likes to paint regularly usually has an eye for detail.  

The way these aspects are evaluated is through the perception and creativity of the recruiter and do not constitute a rule that AI can follow.  

Why Do Both Matter In The Recruiting Process? 

AI for recruitment can screen resumes at a scale in a much faster and more cost-efficient way. The early adopters of AI recruiting tools have noticed a decrease of as much as 35% in the turnover rate. 

This leaves talent acquisition professionals with a shortlist of candidates that match the job description almost perfectly. From then on, they use their own experience, creativity, and critical thinking to select the best fit.  

AI cannot and should not stand alone in the recruitment process, but rather be used as a tool in helping hiring managers to increase their margins. AI resume review is augmented intelligence — it makes the traditional candidate evaluation more efficient, but does not replace it. 

What Are The Key Advantages Of AI Resume Review? 

To make it easier to understand the benefits of using artificial intelligence in recruiting teams, let’s look at the key advantages: 

  • Faster results — Machine learning recruitment can sort through large volumes of data, run up different scenarios in real-time and come up with a larger, better-suited pool of candidates in less time.  
  • Lower costs — Unfulfilled jobs that drain the company budget are usually filled much faster by AI. 
  • Limited bias — Optimized AI recruiting tools can evaluate candidates based strictly on their abilities, thus limiting the usual human bias. 

What About Traditional Evaluation Processes? 

Just because AI recruiting tools are introduced to assess candidates does not make traditional recruiting methods useless. Human recruiters are best at identifying unique job candidates, that don’t fit the ideal profile but would perform better than most.  

Traditional recruiting relies on adaptability, agile thinking, and the personal experience of the recruiter with the company culture. These are not aspects AI can learn easily or excel at, but together, the efficiency of AI and the creativity of hiring managers can take the recruiting process to the next level. 

Where do you start? 

If you’re looking for the best AI recruiting software to skim through resumes and make the talent acquisition process more efficient, then you should try Gabi Labs. With this AI-powered recruitment engine, you can rank top talent, aggregate resumes, and even monitor everything from your phone. Check out its features here and let’s get started!