USE OF RPA IN Recruitment

Digital tools are attacking the business atmosphere, provoking noteworthy changes in the manner we work, converse and collaborate. This has given rise to new prospects and consequently has triggered the Digital Transformation of enterprises

Organizations, all over the place, are constantly making effort to move away from the omnipresent inheritance to the new digital system.

In a business world where companies have access to the same technology, methodology and strategies, People are the main competitive advantage any organization has.


Keeping that in mind hiring becomes critical & role of recruitment is vital to the success of an organization

Recruitment is changing rapidly along with technology. Recruitment now includes disruptive technological capabilities related to blockchain, social media, big data and artificial intelligence

Technavio’s analysts forecast the Global Recruitment Process Outsourcing Market to grow at a CAGR of 14.34% during the period 2018-2022.

There are three issues with hiring

1 – Shortage of Talent

  • 40% of global employers report talent shortages
  • 72% of CEOs are concerned about availability of key skills
  • 5.85 million Jobs were unfilled in the U.S. as of April 2016—an all-time high since 2000.
  1. – Wrong Hires
  1. Candidate Experience – 80–90% of talent says a positive or negative interview experience can change their mind about a role or company.
  • 61% of employers say they notify declined candidates about their decision, but 65% of job seekers say they never or rarely receive notice
  • 78% of job seekers report never having been asked for feedback on their candidate experience
  • 80% of job seekers say they wouldn’t reapply to a company that didn’t notify them of their application status
  • 60% of job seekers report they have quit an application due to its length or complexity

*source LinkedIn, 2016 Global Talent Trends

Traditional Process


Numbers in terms of Hiring funnel

So for 1 non-technical hire a recruiter has to go through 67 profiles & for technical its 89 profiles. Amount of time spent in doing the manual repetitive tasks is too high or 60% of their work time.

Process above does not take into account personality differences between the hiring manager & the candidate & as we know “people quit bosses not companies”. There’s a need for recruiters to recognize that & inculcate into their process to increase hiring numbers

Companies are altering route when it comes to their recruitment services splurge. Moving away from highly transactional, tedious candidate searches, endless scheduling, repetitive screening & moving toward online soft skills assessments, Job Auditions, meeting in casual setting, virtual reality assessments & video interviews as per the latest Linked Market report. You can access it here

Next big change is Data usage. As per the same LinkedIn report 64% of recruiters & hiring managers use data at least “sometimes” & 79% of recruiters & hiring managers are at least “ somewhat likely” to use data in the next 2 years.

This data is used for increasing retention, evaluate skill gaps, build better offers, predict candidate success etc.

While the above are the absolutely necessary for any recruitment firm to survive in the future. The question is “Who’s going to do it?” Hiring Leaders are under immense pressure to reduce cost so they can’t add data scientists to the team or more recruiters.

Trying to find recruiters with data skills is extremely difficult also they are way too expensive.

Robotic Process Automation is going to fill this gap. RPA enables mechanized 24*7 executions of business procedures.

Below is a Redesigned Process using RPA

Robotic Process Automation (RPA) uses clever software systems, usually known as “bots” to imitate the measures of human users. Bots can do recurring tasks more rapidly, precisely, and untiringly than humans, releasing humans to do other everyday jobs wanting emotional cleverness, analysis, decision, and communication with the candidates & clientele.

Think of RPA as the arms & legs while AI / Machine learning are the brains behind it.

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