Different HR Assessment Tools by Ben Mullins on Unsplash
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The 3 types of HR assessment tools impacting the hiring process

The talent assessment tools combine predictive and prescriptive analytics to help HR make data-backed decisions while selecting candidates.

A 2019 survey of Mercer Mettl has revealed that 42% of companies struggle with recruiting top talent. The reasons being, the excessive time taken to close the positions and the higher pay packages offered by the competitor firms.

Naturally, in a race to source top talent, many HR teams are turning to a range of assessment tools to filter the candidature pool during the employee selection process.

Such tools offer a wealth of information to the employer to understand how and why candidates behave and think the way they do. They help select those employees that have the potential to drive their business forward.

To explain better, let us explore three types of HR assessment tools and their benefits:

1. Structured screening and interviews processes

Such kinds of interviews have a high degree of predictive power since all candidates get asked the same series of questions. Unfortunately, the results can be subjective if the interviewer is not trained.

That’s where HireVue comes in handy, a video interviewing and assessment software. It combines visual interviews in a game-based format with artificial intelligence to collect key insights into the candidate’s work style and general cognitive ability.

These data points are analyzed by HireVue’s machine learning algorithms that rank the candidates based on their performance – without any human intervention.

Similarly, Ideal, a Canadian-based startup leverages AI to screen resumes based on the employer’s requirements. The virtual assistant integrates with the client’s applicant tracking system (ATS). Based on the employer’s past hiring decision, the platform adapts to identify the most desirable elements in a candidate’s resume using pattern recognition technology.

2. Conducting simulations by leveraging AI

Simulations allow employers to assess the candidates’ job-specific skills and decision-making capabilities. AssessFirst, a predictive recruitment tool, asks several questions to the employers to understand the positions for which they need to recruit.

Based on their answers, the tool suggests an appropriate predictive model. All candidates then undergo a test to be assessed on what they can do, how they will fit in the company, and how successful they will be at work.

Harver, an AI-powered pre-employment assessment suite, deploys a proprietary algorithm to evaluate the candidates on factors such as aptitude, personality, culture fit, soft skills, and multitasking ability.

The platform turns the results into actionable data that can be used by the HR teams to select the right candidates and to take the hiring process further.

3. Collecting work samples in realistic settings

Work samples allow employers to see the candidates in action, who perform a part of the actual job using the necessary equipment and tools. Lytmus is a machine-based platform that allows candidates to demonstrate their skills in realistic settings.

Focused mostly on sourcing and assessing tech talent, the platform keeps a log of the data at the backend so that the employers can later view the tasks completed by the candidates. The platform is mainly used for recruiting for engineering roles that are harder to assess, such as Frontend, Backend, and Systems.

Our findings

  • AI and machine learning have enabled employers to get rid of the manual process of sifting through piles of resumes to select the right candidates. They take the guesswork out of the initial screening process because of little human interference.
  • By using facial recognition technologies, employers can evaluate candidate characteristics such as confidence, excitement, interest, indifference, and anxiety, and gain access to an extensive database of personality traits. The outcomes can get subjective if done by a human being.
  • Predictive analytics can improve the hiring experience by helping companies predicting the likelihood of a candidate fitting well into a company’s work culture. The better the prediction, the more chances of the candidate adjusting well. The best decision may not be necessarily taken due to poor human judgment.

Like any other new technology in its nascent stage, AI and ML will bring in both rewards and challenges to the hiring space. However, a strategic approach while adopting them will help employers pick top talent quickly and cost-effectively.

With the help of SpringVerify, companies can select candidates with blockchain-powered verified resumes and meaningful skill endorsements for the interview process. Learn more about the tool here.

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