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What are Technical Skills and How to Assess Candidate’s Technical Skills in Pre-Hire Testing?

Nikita Saini Nikita Saini, Author

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In today’s fast-paced recruitment landscape, finding the right candidate with the technical skills required for a position is more important than ever. Companies are increasingly relying on pre-employment skills testing to assess the technical skills of candidates, helping them make informed decisions. However, how do you effectively assess these skills? In this blog, we’ll walk you through the process, provide actionable strategies, and explain how you can use technical assessments to streamline hiring, saving both time and money.

What are Technical Skills?

Technical skills refer to the specialized knowledge and abilities needed to perform tasks in areas related to technology, engineering, data, and software development. These skills are usually obtained through formal education, training or hands-on experience. In the hiring process, technical skills serve as a critical benchmark for identifying candidates who can effectively fulfill job responsibilities.

Unlike soft skills, which relate to personality and communication, technical skills are measurable and task-oriented. They can include programming languages, data analysis, software proficiency, cloud computing, and IT troubleshooting. Recruiters often prioritize these skills because they directly influence job performance, especially in roles like developers, analysts, and engineers.

For instance, a software engineer may need proficiency in Python, Java, or C++, while a data analyst must demonstrate skills in SQL, Excel, or Power BI. Each role demands a unique set of technical competencies that align with business objectives. Therefore, assessing these technical skills accurately is essential for hiring top talent.

Why Assessing Technical Skills is Crucial in Recruitment?

The digital world is rapidly evolving, and companies are increasingly relying on technology to stay competitive. As a result, hiring the right tech talent has become one of the most important aspects of successful recruitment. Candidates with strong technical skills can contribute to the development of cutting-edge products, streamline internal processes, and provide the necessary expertise to ensure that your team meets its goals.

The problem? Many recruiters struggle to assess technical skills effectively. Traditional interviews often fail to give an accurate picture of a candidate’s technical ability, as they rely heavily on theoretical questions that may not reflect real-world performance. This is where pre-hire technical assessments come into play.

By using technical skills assessments during the hiring process, recruiters can quickly identify top-tier candidates who not only possess the right technical knowledge but can also apply it in practical, real-world situations.

Types of Technical Skills to Assess

Before we delve into how to assess technical skills, it’s important to identify what types of technical competencies are relevant to your hiring needs. Depending on the role, the specific technical skills you evaluate will vary. Here’s a breakdown of common technical skills to assess:

Programming Languages

For software development roles, evaluating proficiency in programming languages such as Java, Python, C++, or JavaScript is critical. Coding tests can assess whether a candidate can write efficient, clean, and error-free code.

Data Science & Analytics

If you’re hiring for data-driven positions, testing for proficiency in tools like R, SQL, Excel, or Power BI will help you evaluate a candidate’s ability to analyze and interpret data.

Web Development

For web development positions, candidates need a strong grasp of HTML/CSS & JavaScript, and frameworks like React or Angular. You can evaluate their understanding of back-end, front-end development and full-stack web development.

Software Engineering

Beyond just coding, you’ll need to assess problem-solving abilities, algorithms, and system design skills. These assessments ensure candidates can build scalable and efficient systems.

Cloud Computing

For roles involving cloud technologies, assess knowledge in platforms like AWS, Azure, or Google Cloud. Understanding cloud infrastructure and deployment is crucial for many modern IT roles.

Cybersecurity

Assessing cybersecurity skills is essential if you’re hiring for roles involving sensitive data or online security. Candidates should be tested on their understanding of encryption, network security, and threat mitigation.

Key Strategies for Evaluating Technical Skills of Candidates

Use Real-World Coding Problems

For roles that require programming, coding assessments are essential. Designing tests based on real-world scenarios will give you a better understanding of how candidates can apply their technical skills in practical situations. AI-powered coding skills assessment can provide a variety of pre-built coding problems that mimic actual job tasks, helping recruiters test a candidate’s problem-solving and coding capabilities.

Assess Code Quality, Not Just Functionality

When evaluating coding skills, it’s essential to look beyond whether the code works. Assess the code quality, including factors like readability, efficiency, and scalability. The ability to write clean, maintainable code is just as important as getting the correct result. You can also consider factors like:

  • Time complexity: Does the solution work within the performance constraints?
  • Edge cases: Does the code handle exceptions and unexpected scenarios?

Implement Timed Assessments

Timing is crucial when evaluating technical skills, particularly for roles that require quick decision-making or response times. You can implement timed assessments to gauge how well candidates work under pressure and how efficiently they can solve problems within a specific time frame.

Include Interactive and Hands-On Tasks

For many roles, hands-on experience is key to mastering technical skills. Consider including interactive coding exercises, simulations, or tasks where candidates can demonstrate their ability to use specific tools or platforms. This not only provides insights into their technical competencies but also how well they perform in real work scenarios.

For example, instead of asking theoretical questions about data structures, you might present a problem and ask candidates to implement a solution using an online coding environment.

Use Automated Coding Tests

Automated coding tests are one of the most effective ways to assess technical skills at scale. These assessments allow you to evaluate candidates based on objective criteria, such as code correctness, efficiency, and style. Automated evaluation also provides instant feedback, saving both time and effort compared to manual assessment.

For example, Xobin’s AI-driven coding skills assessment software offers real-time feedback, which is incredibly helpful for both candidates and recruiters. The software scores the candidate’s performance, evaluates their problem-solving approach, and provides a detailed analysis.

Skills-Based Testing

When assessing technical skills, it’s important to test specific abilities that are required for the job. For example, if you’re hiring a software developer, you might assess skills such as Java, Python, C++, or SQL proficiency. By breaking down your technical assessments into core areas, you can gain detailed insights into the candidate’s specific skills.

Evaluate Soft Skills Alongside Technical Skills

While technical skills are critical, don’t overlook the importance of soft skills. Communication, teamwork, adaptability, and problem-solving abilities all play a significant role in a candidate’s success. Use psychometric tests or situational judgment tests to evaluate these skills alongside technical assessments.

For example, a candidate may excel in coding but struggle to communicate their ideas or collaborate in team settings. Therefore, a well-rounded approach to evaluating both hard skills and soft skills is essential.

Behavioral Assessments and Interviews

While hands-on tests are essential, it’s also important to conduct structured interviews to assess a candidate’s technical skills in context. Asking the right questions can provide valuable insights into their problem-solving approach, decision-making processes, and ability to communicate technical concepts clearly.

The Role of AI in Assessing Technical Skills

AI-powered technical skills assessments are rapidly becoming the go-to method for recruiters looking to hire the best talent. Here’s why:

Data-Driven Insights

AI tools analyze candidate’s performance data and generate detailed reports that offer deep insights into their abilities. With advanced algorithms, these tools can evaluate problem-solving techniques, the quality of code, efficiency, and accuracy, helping recruiters make informed decisions.

Automated Scoring

AI-driven platforms automatically evaluate candidate responses and provide scores based on performance, reducing human error and ensuring that evaluations are unbiased. This allows recruiters to focus on other aspects of the hiring process, knowing that the technical evaluations are consistent and reliable.

Customizable Testing

AI systems can be tailored to suit the specific technical skills you need to assess for your role. Whether you’re looking to evaluate front-end developer skills, machine learning proficiency, or database management, AI systems can adapt to test candidates according to your requirements.

How to Make Your Technical Skills Assessments Effective?

Define Clear Evaluation Criteria

Establish clear criteria for evaluating technical skills so that you can objectively compare candidates. Consider elements like code quality, problem-solving approach, and knowledge of key tools and technologies.

Keep Assessments Relevant to the Role

Tailor your technical tests to the specific role you’re hiring for. For example, a front-end developer should be tested on HTML, CSS, and JavaScript. At the same time, a data scientist might be evaluated on their knowledge of SQL, Python, and data manipulation techniques.

Ensure Fairness

Use standardized tests and make sure all candidates are evaluated based on the same criteria. This promotes fairness and helps you make objective decisions.

Provide Feedback

Offer feedback to candidates, whether they’re successful or not. It helps them understand where they can improve, and it reflects positively on your employer brand.

Assess Technical Skills with Xobin!

Xobin simplifies technical hiring with powerful, AI-powered tools that ensure accuracy, fairness, and speed. Here’s how each feature helps you assess technical skills 20x faster and save up to 10x on hiring costs.

  • Evaluate the candidate’s real-world programming ability across 20+ languages with automatic scoring.
  • Access pre-build 3400+ skills-based assessments and 2500+ job role-based tests designed for specific tech roles like Full-Stack Developer, QA Engineer, or Data Scientist.
  • With Custom Test Builder, you can create your technical assessment with MCQs, coding tasks, and hands-on challenges tailored to your needs.
  • Conduct Live Coding Interviews with real-time coding, code playback, and built-in video conferencing tools.
  • Advanced Code Playback to review the candidate’s thought process and problem-solving approach by replaying each step of their code.
  • Assign real-world tasks and evaluate hands-on development skills in a controlled environment.
  • Ensure test integrity with AI-based web proctoring, eye-gazer monitoring, browser monitoring, and plagiarism detection.
  • Make faster decisions with in-depth, actionable reports on candidate performance, skill benchmarking, and coding efficiency.

Want to assess technical talent with precision and speed? Book a personalized demo today and start evaluating candidates with ease!

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Nikita Saini

Nikita Saini

About the author

Nikita is an expert in skill assessment development, having consulted over 300+ companies in pre-hire candidate assessment and employee skill testing. Nikita specializes in Criterion reference and Norm references competency assessments. She has published extensively on best practices in assessment design related to modern skill evaluations.

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