CodeStrikes selects candidates with the greatest potential and commitment, significantly reducing time of recruitment process and delivers best candidate experience
During recruitment process all candidates compete directly one against each other by coding algorithms and later observe their behavior in a real 3D game scenario. This approach minimizes stress and emphasizes potential, commitment and engagement. Furthermore, candidates raise the standard themselves and must react promptly to evolving requirements.
CodeStrikes eliminates the need for scheduling additional meetings with candidates. Instead, CodeStrikes automatically sends invitations, and candidates log in to the platform to complete coding tasks in competition against other candidates. CodeStrikes platform analyzes the code quality, engagement level, and delivers detailed reports to recruiters, allowing for a more efficient recruitment process.
Rather than facing numerous questions in front of a recruitment committee and undergoing live coding sessions, candidates can demonstrate their programming skills through playing a game. This approach enhances the employer brand and even rejected candidates may be inclined to reapply in the future and recommend the company to others.
Rather than requesting candidates to upload their resume, cover letter, and answer numerous qualifying questions, consider inviting them to play a game.
CodeStrikes simplifies the recruitment process by providing automatic code quality analysis. It generates comprehensive reports that include statistics, bugs, and vulnerabilities discovered in the candidate’s written code. CodeStrikes also rates the candidate’s code based on various categories, such as security complexity, reliability, and maintainability. The platform provides explanations for identified issues and determines their severity, eliminating the need for recruiters to have a software engineering background to review the candidate’s code.
In addition to the code quality analysis, CodeStrikes also generates reports on candidate engagement during the recruitment process. Recruiters can see how much time a candidate spent playing the game, how many versions of the algorithm they uploaded, and how the candidate progressed in relation to other candidates. These features make the recruitment process more efficient and transparent. Furthermore, recruiters receive a candidate rating based on the game results and the algorithm competition, allowing them to identify the best-performing candidates.
