What is the project all about? What are the objectives of GoRecruit?
GoRecruit is a platform for job candidate evaluation by analyzing publicly available data and social media accounts. The service is rating each applicant according to their professional aptitude for different job positions.
As soon as a position becomes vacant, an HR-specialist has to perform a number of operations, e.g. advertising the job, collecting CVs, analyzing them, interviewing applicants (sometimes several times), and selecting the best ones. This process may take weeks, even months. During this time, the company looks forward to getting a valuable employee and spends money on recruitment. However, in the end, the final decision might turn out to be wrong as many applicants have learnt how to pass a job interview "properly".
GoRecruit makes it possible to conduct evaluation in a few seconds, compare all applicants and choose the best one. Thus, a company is able to shorten the time for filling a vacancy, reduce the cost of HR decision-making, minimize staff turnover and, ultimately, increase its profits.
What innovations does the solution introduce? Why is it efficient?
Right now, GoRecruit makes it possible to evaluate a candidate based on more than 70 parameters, including basic ones (age, gender, education, literacy) and more complex ones, such as social activity, mental stability, psychological profile, etc.
These data are processed by our unique algorithm based on text analysis and a neural network. As a result, one can obtain an unbiased candidate profile and assess their professional aptitude.
One can say that an evaluation algorithm simulates "human" approach. However, GoRecruit processes much larger amounts of data than a regular HR-specialist and does it only in a matter of seconds.
The AI-based GoRecruit system makes it possible to carry out an unbiased evaluation using more than 70 parameters from public sources. There are basic parameters, such as age, gender, education, literacy, interests, and more complex ones, like social activity, mental stability, psychological profile and others. All data processing is enabled by a unique algorithm based on text analysis and a neural network.
Essentially, GoRecruit simulates human decision-making process. It only takes a matter of seconds for an expert system to process a multitude of parameters, which is beyond normal human capacity.
Is there background to the project? For how many years has the team been working?
We started investigating this field 8 years ago, and discovered that there is a correlation between the way a person presents themselves in social media and their real psychological profile. Later on, we were able to prove our hypothesis by building a mathematical model and developing an initial interface of the system. We tested the product in a company with more than 1000 employees.
Is there an MVP for the project? Has the product been tested?
A working version of the product is presented on the GoRecruit website (http://gorecru.it). It processes data about Russian citizens from the VK social network and other public sources. Nearly 500 companies use the service.
How big is the project expected to be? What is its global task?
Having undertaken the research and confirmed the hypothesis, we see an opportunity for replicating our product on the global market. There are now over 3 billion social media users in the world, and the number continues to grow. Headhunters have long used social networks to find and hire employees. In fact, social media are an essential tool in HR. However, as they grow, the need to automate the process and improve the quality of decision-making increases as well. For this purpose, we have developed an artificial intelligence system that will reduce bias in hiring decisions and cut down expenses on maintaining HR staff by optimizing its work routine.