The world of recruitment is developing every day. So, implementing an AI-based assessment recruitment platform is a new practical method in hiring. AI has reformed Human resource talent management by making hiring managers’ lives easier and more productive.
According to talent professionals and hiring managers, 35% believe that AI-based assessments in recruiting are the most crucial tool impacting the hiring process. Using artificial intelligence (AI) for pre-employment evaluation requires technology to automate different recruitment processes.
AI-based assessment platforms can help employers to select the best applicants. Ideally, AI in assessments can prevent human biases from unduly influencing hiring decisions. AI has made hiring, screening, and predicting candidate success more convenient.
Machine learning algorithms are often used in recruitment. Because ML helps you evaluate the responses to the interview questions, it also offers insights that help HR departments make better decisions in the application process.
AI-based assessments can provide assessment tests in context—for example, trusted chatbot-style communication with candidates. Machin learning algorithms collect, analyze, and score candidate responses to predict how candidates would react in similar situations.
How is AI Assessment used in hiring?
AI assessment platforms use machine learning to match candidates to the best jobs. Online assessment recruiting platforms enable employers and hiring managers to make data-driven hiring decisions faster. AI-based assessments evaluate candidates based on their responses to tests and interpret scores to predict their behavior in the workplace.
AI can also analyze candidate responses to test questions and make predictions based on the data provided by trusted algorithms. Recruiters use AI-powered predictions to make unbiased hiring decisions about the best candidate for a position.
Artificial intelligence, or AI, is already rooted in our daily lives. Automation minimizes some tiresome tasks, and chatbots provide extra help when needed. But as more companies embrace AI in their HR technology, so does the dispute about how AI influences hiring decisions.
AI-based assessments are designed to recognize the best candidates based on a fair performance evaluation. AI is used in assessments to prevent human biases from influencing hiring decisions.
Using AI in assessment is a trend that has been around for a while. Algorithms developed by organizational psychologists have been evaluated and “interpreted” over the years. However, AI-based assessments are growing, and more companies are incorporating technology into their hiring process.
Artificial Intelligence assessment reduces the workload of employers by automizing all routine tasks. Companies can improve hiring quality, reduce repetitive tasks, and use their time better with AI-powered hiring. Employers can employ top candidates based on true potential.
How can AI assessment improve the hiring process?
Recruiters today have the opportunity to use AI-Based assessment in their hiring process. They can ensure that vacant positions are filled with the best possible candidates without spending long hours in the office.
AI-driven assessments allow teams to focus on the tasks that matter through automation. AI-powered assessments help recruiters to find the best candidates, ask the right questions, and make smarter decisions.
Let’s take a look at some of the benefits of AI-driven reviews. This way, you can learn how AI-based assessments can help your business strategically.
Accuracy
AI can analyze vast amounts of data far beyond humans. The increased power of today’s computers allows us to evaluate more candidate data and make better selection decisions accurately.
Efficiency
Hiring managers can assess a candidate’s job-related qualifications and characteristics early on. They don’t need multiple interview steps to identify candidates’ potential. Al-based assessment offers organizations the privilege of becoming more productive.
Reduce Bias
Human prejudices and stereotypes are often responsible for making bad choices. In theory, AI neutrally can help employers eliminate intentional and unintentional bias. However, we must pay attention to how the AI system is programmed.
Engagement
AI can improve the candidate experience. For example, an interactive chatbot can answer questions about the selection process or a specific evaluation. AI can also improve the candidate experience by approving open-ended responses in personality and situational tests. AI can improve job seekers’ experience by making faster decisions and reducing bias.
Saving the recruiter’s time
Many hiring managers state that hiring capacity will increase over the next year. Still, their hiring teams will remain the same size or even shrink. As a result, recruiters are expected to be more productive by “doing more with less.” Manual resume screening continues to be the most time-consuming part of recruitment. Especially when 75% to 88% of the resumes they receive for the job are unqualified. Al-based assessment can solve this problem.
Develop a candidate screening process
At the same time, a fast screening process enhances applicants’ application experience and positively affects the company. And given that 58% of job seekers turned down jobs due to bad experiences in the hiring process, it’s easy to understand why this matters. Moreover, AI-based assessment tools can keep applicants updated, schedule interviews, and even answer common questions via chatbots.
Increase recruiters’ chances to hire the best candidate
Fortunately, hiring tools improved hiring quality through machine learning and algorithms. These algorithms are based on standard data to match candidates to jobs based on their skills, knowledge, experience, and other vital factors. They can increase job seekers’ selection quality and reduce turnover rates.
How to choose the best AI-based Assessment platform?
Different AI-based assessment platforms with varying models of pricing and features help recruiters evaluate candidates. Consider these tips to determine which platforms best fit your hiring process.
1. Decide which job position you want to hire for
Some jobs are better for specific evaluation methods than others. Software development or technical roles that need particular knowledge are simple examples. AI assessment tools can fill sales, customer service, copywriting, and managing roles.
2. Consider necessary skills and technical requirements for the job
The next step for choosing a technical evaluation tool is to define the expected results of a technical test. Once you are clear about the roles you want to fill, you can understand the skills that lead to success in those roles. But we also need to think out of the box. Does this role need a leader? How will this role affect the company culture? How will this role impact future recruitment decisions?
3. Which personality characteristics are essential in the job?
A candidate’s personality doesn’t come through in a resume. Still, many AI platforms use easy language processing, video interviews, and unusual job-related tasks to better understand a candidate’s personality.
4. Quality of support
Recruiters or candidates may need technical knowledge of the technical assessment platform. In some cases, like college recruiting, you might need to test many candidates simultaneously. In such scenarios, priority support via phone or live chat is required. Before buying any platform, check if you have similar requirements and if the tool offers it at a reasonable price.
5. Does the platform minimize the risk of human bias?
When used ethically, AI is a tool that can provide robust and unbiased data facts. However, it is also true that machine learning can be affected by human attitude biases introduced by datasets. Carefully review AI assessment platforms to ensure AI doesn’t repeat the wrong decisions that human recruiters might inadvertently make.
6. Can you save time and energy by using this platform?
Lastly, AI assessment tools save time and no longer require manual work. You need to eliminate some of the most tiring tasks from your hiring team and automate time-consuming aspects of the hiring process. So before choosing an AI-based assessment platform, ensure it can help you save the company’s time and energy.
Best AI assessment platforms for hiring new employees
The hiring process is an essential task for any company. However, it can be exhausting if not done correctly. Candidates worry about the lengthy screening process at the hiring stage. At the same time, HR professionals are interested in filling vacancies as quickly as possible while avoiding hiring mistakes. Therefore, it is unsurprising that AI assessment platforms, which help validate candidates’ skills through pre-employment assessments, are gaining popularity. These assessments are a convenient way to reduce the chance of hiring mistakes and the time it takes to hire. These AI assessment platforms help companies screen and find their next best employee.
1. Vervo
Vervoe is a recruiting platform that provides talent solutions. It enables companies of all sizes to manage their assessment, selection, and hiring processes with video, skill tests, and more. The platform offers a unique feature that allows companies to design personalized portals with company logos and custom colors to conduct their brand identity.
2. Harver
Harver offers a variety of solutions, including pre-employment assessments. Harver’s assessments have four categories: hard skills such as typing and language tests. Cognitive skills, such as learning ability tests; behavioral, such as virtual interviews and personality tests; and situational judgment tests, such as job suitability.
3. CodeSignal
CodeSignal is an AI assessment platform for hiring techs. Many companies use this platform to test, interview, and certify candidates during the recruitment process. This AI assessment platform is trustworthy and used at the top of the hiring funnel to help organizations go beyond resumes and find a distinct group of talented employees.
4. Pymetrics
This AI tool provides employees with tests that mimic video games. The algorithm uses the results to create potential new employee personas that fit vacant positions based on the employee’s results. Applicants can then take a similar test to see if they are a good fit.
5. HireVue
HireVue is an AI assessment platform that provides video interviews, game-based, and coding assessments. This AI assessment platform contains questions that employers can set to evaluate candidates’ soft and hard skills to measure their workplace performance. The software automates tasks to make recruitment fast, friendly, and fair.
6. Predictive Hire
PredictiveHire is different from the previous platforms on this list. This AI platform focuses on the interview part of the hiring process. PredictiveHire’s AI tools save hiring teams time by conducting top-of-the-funnel video, chat, or group interviews. Anytime, anywhere, everyone has the same interview.
7. nTalents
nTalents is an AI assessment platform that helps employers evaluate applicants efficiently. This platform has many features, including a career page, custom domains, job postings, and more. Hiring managers can use an advanced AI assessment platform to track candidate progress, enhance employer branding, and leverage data to collect valuable insights.
8. myInterview
myInterview analyzes video interviews using AI and builds candidate lists based on soft skills, personality characteristics, and keywords. The hiring manager selects the qualities required for the job, such as being a team player, a positive person, or an innovative individual. In addition to personality traits, myInterview also understands keywords and specific industry terms and uses a business-oriented personality model based on the Big Five.
9. Eightfold
Eightfold.ai is a cloud-based assessment platform that enables HR to manage the entire employee lifespan, from candidate recruitment to employee retention. They also provide tools to remove bias and hire different talents.
10. CodeSignal
CodeSignal is an expert platform in pre-employment assessments for engineers and software developers. CodeSignal’s “Coding Score” automated test measures each candidate’s coding ability. The model considers four factors: accuracy of solutions, ability to implement, ability to solve problems, and speed. As a bonus, CodeSignal validates scores before providing them to the team to ensure that no “abnormal activity” occurred during the evaluation.
Conclusion
We have come on a long journey in using AI-based assessment for recruitment. The AI hiring process will become faster and more efficient as this progress continues. The assessment designers are starting to think about how AI hiring systems can be used to make assessments easier to interpret for hiring.
Soon, AI-based assessment platforms will be able to conduct real-time interviews and perform all tasks that require human judgment. If these platforms are used correctly, they can remove human bias and automate the time-consuming sides of the hiring process. HR teams can interview suitable candidates, screen candidates, and leverage big data. It can be leveraged so that, eventually, the process can retain candidates and employees longer.
