Accelerating tech recruitment with the power of automation


Accelerating tech recruitment with the power of automation

Leading tech companies recognize software engineers as crucial assets because they ensure successful business outcomes. Therefore, companies need effective recruitment processes to hire top tech talent. Traditional face-to-face interviews only evaluate a candidate's characteristics, opinions, attitudes, and theoretical or application-based understanding of concepts, not their hands-on coding skills.

Adopting a flexible recruitment automation platform helps identify top tech talent, ensuring informed hiring decisions.

Mercer | Mettl's technical screening suite helps align businesses' tech recruitment efforts. Technical tests evaluate multiple candidates simultaneously, using knowledge-based questions and application-based techniques. Knowledge-based questions assess candidates' understanding of essential concepts, applications, learning, and analysis. Application-based techniques use world-class simulators to evaluate candidates' real-world coding abilities.

Technical tests by Mercer | Mettl have 100,000+ technical questions powered by an advanced role-based simulator. Further, Mercer | Mettl offers an online hackathon platform that includes employees and external talent to promote employee engagement and brand visibility.

The technical suit by Mercer | Mettl includes tests on front-end and back-end development, full-stack development, database development, data science, DevOps, and quality assurance.

These assessments allow organizations to evaluate candidates’ skills and experience on pre-determined parameters. This way, technical screening becomes an effective filtration technique between receiving an application and hiring a candidate, ensuring the right fit.

A survey by Mercer | Mettl explains that businesses assessing technical skills via a combination of multiple-choice questions (MCQs) and coding simulators have a 63% success rate.

Today, talent acquisition has been further simplified with the assistance of AI-based applicant tracking systems (ATS). As a result, ATS, with other tools used in different recruitment stages, helps companies enhance candidate experience via prompt responses and quick interview scheduling.

Importance of recruitment automation:

Hiring right candidates

Applicant tracking systems use machine learning algorithms to find the right fit for various job roles according to different data parameters. The system scans applications to find key points that make candidates fit for job roles. For example, education, experience, expertise, etc.

The AI also guides candidates on the career site, recommending relevant positions based on their qualifications, ensuring the best employment journey for prospective candidates.

Improve recruiter efficiency

Recruitment automation improves recruiter efficiency by removing repetitive and manual tasks. These tools complement existing hiring practices, making them easier, faster, and cost-effective.

Recruitment automation simplifies the hiring process by screening candidates using assessments, scheduling interviews, and providing pre-set FAQs to candidates. By freeing up time from manual tasks, recruiters can concentrate on improving candidate onboarding experience and ensuring better learning and development.

Efficient hiring

According to recent data by Mercer | Mettl, 20% of organizations face the challenge of long lead time during tech recruitment. Recruitment automation shortens this by improving efficiency. A faster hiring process ensures minimal candidate drop-out rates, which helps recruiter's close positions quickly.

The utilization of recruitment automation tools provides data-driven insights related to the recruitment process for identifying and resolving gaps.

Remove bias

Automation platforms remove hiring bias by utilizing technology for the initial screening, assessment, and candidate ranking based on performance. This blind hiring technique eliminates bias factors such as ethnicity, gender, and age. It highlights candidates’ potential based on their skills and job history.