Sujatha Kumaraswamy is the Chief Executive Officer of MeritTrac – a UNext company. Sujatha Kumaraswamy has 21 years of experience in incubating and running new businesses and functions across multiple divisions. Ms. Kumaraswamy’s wide range of experience in managing global, large-scale teams in various sectors has led her in multiple strategic imperatives across different revenue groups. Her focus is on setting the long-term goals, strategies, plans and policies of MeritTrac, with a strong focus on its execution.
A job posting on LinkedIn receives over 250 applications at any given time, and Unilever receives approximately 1.8 million applications per year for a meagre 30K positions. Manually sifting through a mountain of resumes is a herculean task and very often leads to flawed hiring decisions. A bad hire results in lost time if the employee is unable to perform the job successfully. Even though the organisation may be investing the same amount of money in the employee, the productivity is likely to be far lower. Companies need more resources, recruiters, and teams to even the odds with the influx of job applications.
Need for a new assessment solution
Amid the expanding digital transformation across sectors, changing to an AI-driven end-to-end data approach has become necessary to recruit the right candidate. It will not only eliminate ground HR challenges but will also improve the efficiency of the recruitment process.
In order to keep up with the advancements, recruiters today prefer adopting automation and artificial intelligence (AI) solutions for hiring operations. From small-scale to large-scale hiring, an end-to-end assessment platform is a solution to the big-picture HR challenges.
A “full cycle” or end-to-end assessment solution attempts a multi-stage hiring process in which the best candidate is selected based on their skills, qualities, and other important traits that are most appropriate and compatible for the position.
An end-to-end assessment has six stages:
As businesses navigate the competitive currents of the constantly changing digital world, organisations of all sizes are now implementing end-to-end recruitment processes to hire the best candidates, thereby accelerating organisational growth.
How does an all-in-one assessment platform help devise a growth-oriented recruitment process?
Implementing an all-in-one assessment platform is pivotal for the growth-oriented recruitment process in any organisation. Following are some advantages of using an all-in-one assessment platform for recruitment.
- End-to-end recruitment strategy: From sourcing to onboarding, an all-in-one assessment platform helps organisations use a single platform for all recruitment processes. As it automates many processes and selects candidates based on their qualities, a recruiter can eliminate many painstaking stages.
- Reduces turn-around time: As AI and data-driven decisions play a key role in the recruitment process, the turn-around time for hiring the appropriate candidate will marginally reduce. For example, the AI-enabled platform crawls the job portals and skims through profiles to select the most suitable candidates for the required job roles, thereby eliminating the need for inviting applications, waiting for receiving applications and selecting candidates for interviews.
- Helps in building a quality team: An all-in-one assessment platform is key in identifying the best candidate for a particular position. Productive individuals are crucial for the future of any organisation. Currently, every organisation aims for onboarding such talents who can perform from day one. Thus, it helps the organisation build a skilled workforce.
- Assist in devising workforce development: Most of the time, the onboarded candidate may lack a few requisite skills or may need to improve on them. The AI-powered assessment platform can identify the strengths and weaknesses of each employee and indicate specific training programmes to improve workforce capacity. This way, organisations can ensure holistic workforce development.
A holistic assessment environment will bring together previously absent elements of the employment process. As a result, a next-generation digitally led end-to-end assessment revolution will enable businesses to produce a more efficient workforce, improve decision-making quality, and play a significant role in the development of new business processes and concepts. It will also reduce the turn-around time in the recruitment process drastically.