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5 Recruitment Trends For The Year 2022  – WalkWater Talent Advisors

 The recruiting industry has undergone significant changes within the last decade, even more after the COVID-19 pandemic. Some changes have been easy and relaxed, while other have been accepted at lightning speed.

The technological advancements have only triggered the process, leading to new recruitment trends. With so much on the shoulders of employers and staffing agencies, it is important they adapt to the changes and stay at the top of their game when sourcing top talent. Some changes that you need to watch out for in the coming year are stated below.

First-time candidate experience

The first efforts you put in towards the candidates and the recruitment process dictate long-term retention possibilities. It is the first experience of the recruitment process that will help the candidates decide whether or not they would like to work with the company or not. Job seekers are always looking for a seamless recruitment process, where they expect to be completely informed about everything regarding the company and its culture. You may either do this directly, or build a site that provides answers to almost all kinds of common questions or doubts they may have.

Artificial Intelligence and automation

The area of automation and Artificial Intelligence has brought forward more gains to the recruitment industry. Screening of candidates is one of the most time-consuming recruitment processes, which is why such automation procedures are being adopted to reduce the effort and time. Such automated procedures also eliminate bias that is seen during manual interviews, which means applicants are screened only based on their skills of teamwork, adaptability, creativity, time management, and collaboration, rather than other unnecessary information like caste, region, religion, gender, etc.

Predictive analysis

Recruitment agencies rely on data to source, interview, and assess job applicants, which means that they need to get accurate data with clear analytics for better results. Various technologies use recommender systems and predictive analytics to find perfect candidates using different parameters like location, education, relationship network, etc. Such data gives deeper insight into the best candidates suited for the job.

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