GoRecruit

GoRecruit is an AI-based platform for HR, which is designed for analysis of social media and other public data. Data integrity and accuracy are ensured by the blockchain technology. GoRecruit will provide companies with the tool set to significantly reduce the time and the cost of finding a perfect employee and improve the quality of decision-making. Users can’t trick GoRecruit: its algorithm evaluates applicants’ soft skills and professional aptitude rather than their self-presentation abilities at interviews. On the average, the GoRecruit service is 1/40 as expensive as a traditional evaluation procedure.

Whitepaper

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What is GoRecruit

The success of any organization largely depends on the people that work there and an extent to which every employee is effective at their workplace. In the course of a recruitment process, an employer faces numerous challenges, one of them being candidate evaluation. What are the methods to evaluate candidates during the selection process? Small and medium-sized businesses do not usually have a clear understanding of what requirements a candidate should meet, and how to evaluate candidates. For small business owners and executives, the major headache is a lack of time. They are concerned about having a full complement of staff and saving time when hiring employees. In large companies, on the contrary, there are special human resource departments that are engaged in searching, evaluating, and interviewing future employees. But as a company grows, the cost of hiring each employee increases, and the quality of hiring practice deteriorates due to delegation of decision-making to the field.

GoRecruit is an artificial intelligence (AI) system for helping small enterprise executives and employees of personnel services to make HR decisions. The system analyzes data from social media and publicly available sources and uses a blockchain-based architecture for data storage.

Recent research in the field of social media data analysis showed the correlation between the way people represent themselves online and personality assessment results. Donald Kluemper, a professor of management at Northern Illinois University’s College of Business and a pioneer in this area, conducted a study in 2012, according to which data obtained from social networks can be used to assess the likelihood of hiring a person, as well as their future performance. The author and his colleagues state that many personal characteristics are reflected in a social network profile. As a result of his research, significant correlations were discovered between personality traits learned from social media profiles and performance indicators received from company managers.

Decision-making on hiring a candidate depends on a subjective opinion of an employee from an HR department, which, at times, puts their interests above the interests of an organization. Our project is aimed at building objective criteria for selection of candidates for general positions (up to a level of a head of the department), which do not require assessment of highly-specialized professional skills. When making HR decisions and predicting possible outcomes, a decision maker usually faces a complex system of interdependent components (education, experience, psychological profile, social adequacy, etc.) that are to be analyzed. The solution can be found in building an AI system, which will model a natural process of human thinking, aimed at making an objective decision based on the set of available parameters (characteristics).