AI, Recruitment

Role of AI in Recruitment in 2020: A Step by Step Guide

Artificial Intelligence has brought about a wave of innovation and optimization in the recruitment sector of any industry. While keeping scope for change, AI has been able to adapt to the requirements of the recruiters as well as the candidates.Artificial Intelligence/ AI for recruitment aims to optimize the efforts put in the recruitment process by automating several functions to save time via problem-solving and machine learning. Recruitment is the backbone of any organization as it navigates and determines the productivity of the company. Therefore, it is vital to make sure that enough resources go to this sector to ensure: 

  1. The company can secure the best talent in the market.
  2. Candidates are evaluated solely on their skills and work profile.

With time and further innovation, the tools have become more refined and perceptible to the recruitment process’s needs.

 

How can AI be used in the Recruitment Process?

A robust recruitment process is essential for ensuring smooth recruitment and consistent recruitment experience. Using AI tools at each step of the recruitment process enhances the efficiency of the recruitment process. To show how AI tools to aid in the recruitment process, we have laid down the seven steps of the recruitment process and the impact of AI at each stage.

Recruitment Planning

Recruitment planning primarily aims at understanding and documenting the following things:

  1. Identifying a vacant position in the company.
  2. Narrowing down the vacant position’s place in the company’s structure
  3. Making a list of the requirements for the job profile, i.e., educational qualification, skill sets, age, experience, etc.
  4. Noting down their critical responsibilities in the company. 
  5. Adding any other specifications which are essential for the candidate to know. For example, a job profile includes excessive traveling for work. It needs to be mentioned for applicants to have an overview of the job they are aiming to apply for. 

The recruitment team will prepare an exhaustive yet concise job profile for the ideal candidate after addressing these concerns. 

How does AI assist in Recruitment Planning: AI can help identify the requirements of the job profile by sourcing information from the previous employees’ information. Once the primary data is acquired, the recruitment team will work on the strategy to spread the vacancy. They will use AI tools to curate a well-tailored job description.

Tools like Textio help tailor the job descriptions to close in on the target audience. The software provides a wide range of recruitment services to aid the process towards perfection. This tool significantly helps in increasing the chances of better talent acquisition. 

Strategy Development 

This step aims to generate a good pool of candidates by understanding the job requirements. With the job profile ready, this step is about implementing the job profile to target the right applicant pool. 

The first thing that needs to be identified is the applicant pool. The demographic of the applicant pool will be crucial in understanding their medium of applying for the job.

As the second step, recruiters need to identify the mode of spreading the news that the company is hiring for that specific position.

The last step would be to ensure that all the candidates are well engaged throughout the process. Even if they are not selected for the job, there should be a provision for them to be informed humanly. 

 

How does AI assist in Strategy Development: AI helps in the smooth implementation of the strategies used for a specific job hiring. With proper tools to identify the potential candidates’ intent, a system can be designed to locate them and let them know about the offer.

AI technologies like Programmatic advertising let the target audience know about a job opening through automated advertising. It uses tools like site cookies, AI chatbots, etc. to gather information about a person’s job preference. This process is both time and cost-effective.

SmartRecruiter is an AI tool that helps with Programme advertising. It promises an excellent candidate pool as it attracts, reaches out, and engages them to connect to the organization for applying for the job. It also caters to the other steps in the recruitment process, making it an ideal strategy development software.

Candidate Sourcing

Unlike the initial stages of recruitment planning, sourcing is the process where the recruiter actively searches, identifies, and reaches out to a potential candidate. The target audience is passive candidates who may not be looking actively for a job but would be a great asset to the company. 

Predictive Analytics aims to narrow down the patterns in past hirings to know which areas can be boosted or worked upon. Another way of sourcing candidates is by using the Applicant Tracking System (ATS), or Candidate Management System (CRM) from a previous job opening. Recruiters prefer using these as they provide a well-curated and reliable pool of candidates for further assessment.

How does AI assist in Candidate Sourcing: AI tools like Entelo provide exceptional services in sourcing candidates via automation. They match the candidates to jobs that are in sync with their work experience and skillsets. Moreover, their compilation of a comprehensive database makes it easy to source potential candidates within a short period. 

Fetcher also provides services that are time and cost-effective, but their services ensure that there is enough diversity in the pipeline of candidates. Their software sorts through the active applications while keeping the work-related factors (like industry experience, skillset, etc.) as the primary filters. 

Candidate Searching

Candidate searching involves the use of sites like LinkedIn, Monster.com, GlassDoor, and more to post the vacancy. This step promises much larger visibility, which will lead to more applicants. The searching process might be a bit more tedious, but with the correct AI tool, that issue can also be minimized. A uniform yet tailored form of communication is vital in building the Employer Brand. 

How does AI assist in Candidate Searching: AI tools like PandoLogic not only post the job profile on various sites but also ensure that there is good visibility. Tools like these take the recruitment plan and the strategy envisioned by the recruitment team. Moreover, AI chatbots have proved to be useful in carrying out conversations with potential candidates, providing them with helpful information. They use Natural Language Processing (NLP) to understand the candidate’s questions and tailor the data (that is fed to them) to answer them. Thus, it is crucial to make sure that the information used to aid the AI tool is specific to the tool’s aim and is without biases.

Candidate Screening

Screening is the process of feeding information about the requisites of an ideal candidate for the software. The data then enables it to shortlist the applicants with the mentioned information. Their resumes, work experience, etc. are automatically checked and cross-checked for credibility and further decision making. 

How AI assists in Candidate Screening: Manual Screening is tedious and time-consuming, but it is also prone to more errors and biases. AI ensures a minimal scope of any errors or prejudices. Moreover, it gives the interviewer more time to concentrate on the interview processes. 

Softwares like Filtered and Interview Mocha provide services of reviewing and cross-checking applications at a cost that is relatively affordable and time effective than manual screening. 

Conducting Interview

The final steps are scheduling and carrying out the interview process. Both of these processes will vary depending on the nature of these processes. 

For instance, if it is a virtual interview, the interview process will be a Video interview or telephonic interview. The interviewer makes notes to ensure that crucial information is retained from the interview. Moreover, depending upon the kind of application used for the interview may/ may allow more than one person to interview the candidate. 

 There might be a problem of keeping the interview aligned to the actual purpose of it in a face to face interview. 

Having precise control and checks during this crucial process ensures that the relevant information is gained from these interviews.  

How does AI assist in Evaluation & Control: AI software like FreJunHR can automatically schedule meetings with potential candidates, record and transcribe interviews so that there is some kind of resource to cross-check the notes and term the decision credible.  

my interview is a software that specializes in aiding the recruiters in a video interview by interpreting the candidate’s answer based on their rhetoric as well as behavior. 

Evaluation and Control

It is essential to review the following once the hiring process is complete:

  1. Cost and workforce used in the recruitment process.
  2. The efficiency of the planning and implementation of the strategy.
  3. The success/failure of any method used during the process.
  4. The time and cost saved due to the use of AI Tools.
  5. The effectiveness of the tools during the technique.

These steps provide scope for improving or modifying the recruitment process. They also give an insight into the employer’s status in the market. 

Conclusion

Recruitment processes are a learning experience for the recruiters, the candidates, and the AI too. By trying and testing various tools to suit the needs of the manual recruitment process, a better-optimized recruitment system is in the making.

The primary aim of AI is to provide recruiters EASE:

Enhance: It enhances the recruitment process by becoming an aid to the recruiters for a better recruitment process.

Assist: AI assists them and saves time and money.

Simplify: The tool/application’s usage ensures that the process of recruitment is simplified. 

Evolve: The innovations in AI help the recruiters evolve into a more effective system that is less flawed and more practical. With the automation of big data via ATS, CRM, etc., AI evolves to match the needs of the employers as well as the employees. So far, AI has managed to move on from the basic needs of recruitment to more refined needs. 

 

The recruitment process solely does not affect the recruiters/employers. It has a direct impact on future employees too. Ergo, it is essential to enhance the process with the help of AI to meet the needs of both sides. 

 


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