The tech-recruiter Lensa has created a novel method based on Artificial Intelligence (AI) to filter the suitability of job seekers for different jobs sought by corporate companies. This Lensa-initiative juxtaposes the flooding of the job market by applicants and a further slump in employment caused by the outbreak of the COVID-19.
According to the CEO of Lensa, Gergo Vari, his company embarked upon solving the mismatch of skill-sets vis-à-vis skill-requirement of the job market through a result-driven technology solution to map the suitability of candidates.
Flooding of the job market with applicants and the pandemic very adversely affected the hiring processes of the employers posing a serious problem of sourcing the right hands. It is here where the AI-driven selection method of Lensa comes as a great help. This recruitment-tech company removes the mismatch between the flooding of job applicants and the job requirements of recruiters.
Explaining how Lensa has taken a great leap in removing this mismatch, the CEO Gergo Vari said his company is exactly mapping the abilities of job seekers with job requirements in a unique Artificial Intelligence-based technique. This is a strategic benefit provided to both employers and job seekers.
Lensa’s in-house developed Workstyle Game has become a game-changer in this field. It solved the issue of mismatch to ascertain the capabilities of job seekers by prior examination of their skill-sets. Through this revolutionary method, an employer would know if a particular job suits a person or not and a job seeker would also know if a vacancy he or she is applying matches with their skill-sets.
Lensa’s unique Workstyle Game envisages a real-time screen-based skill mapping under which a job seeker is made to play a game. This game involves moving nodes around a screen to reach a specific object. Taking up to 400 measurements per second depending on how a job seeker is playing.
This science-based game is a test that not only focuses on how well the person did but also shows the way the person has played. The main factors that are taken into account include how often the person touched the mouse pad if the person gave up midway through the game, if the person made multiple attempts, and if the person learned along the way are analyzed in their actual perspective.
The basic point is not so much whether the person playing solved the game but how the person goes about the game to solve it. Finally, the persons get a brief note of their results describing them as one of seven different archetypes.
Lensa uses a very practical method to critically assess a job seeker’s soft skills after he or she has played the game. The job seekers know their problem-solving strategy, their focus, and their approaches to complex problems. At the same time, the employers know through a snapshot of the candidate his or her capabilities, their soft and hard skills based on their resume.
This scientific system assists job seekers to link with different job opportunities thus ending the conventional job processes often marked by uncertainty and inadequate responses from recruiters.
Gergo Vari, the CEO of Lensa, said “we all know how difficult and frustrating it can be when hunting for a job. Most of the time people feel confused, annoyed, and frustrated. This is the reason we created Lensa, to give job seekers a helping hand in finding a way out of a seemingly fruitless search.”
Vari further elaborated that Lensa used state-of-the-art AI technologies to pre-evaluate profiles to smoothen the way for both the job seekers and employers. The screenshots of job seekers neatly present their problem-solving skills, working styles, and professional strengths. This helps them to shortlist jobs. On the other hand, employers also stand to gain as they know the profile of the person they are going to recruit for specific jobs.
