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Hiring is a constant ongoing process in many companies, given the rise in demand for quality people. Hiring quality people is a time consuming and challenging task; yet a significant processes within organizations. Recruiters dig into pools of resumes, search for the relevant ones, screen them, connect with the candidate and then assess them before scheduling them for interview with hiring manager. This process is usually manual in nature making it tedious, time consuming and an expensive process.
Issues with the present process:
Loss of qualified candidates during the initial screening process – limitation of keyword or Boolean search conducted to shortlist probable candidates.
Malpractice of candidate like physical and vocal impersonation such as lip syncing during online/phone interview.
Fluctuating interviewer’s attention reduces the ability to stay 100% focused during the interview process, so reducing the decision making ability. This affects the hiring process.
Human biases (such as race, gender, speech, etc.) affect chance of accurately identifying talent resulting in drop/loss of qualified genuine candidates.
Long turn-around-time to identify the right candidates.
Higher cost-effort-time to achieve efficient results. Recruiter invests time and effort manually, to search for suitable profile, screen, assess, schedule and conduct interviews.
We bring an AI (artificial intelligence) based SaaS (software as a service) platform to automate the recruitment process and as a result improving efficiency at marginal costs. The application analyzes interview videos and provides data to help recruiters looking for any desired personality traits or identify anomalies in the candidate behavior. It is designed and developed to contextually screen candidate resumes, connect with the candidate, qualify the candidate against the Job Description and analyze human emotions with the right combination of: behavioral science (measurement of peripheral physiological responses), applied mathematics and AI technology.
Aspects of the recruitment automation:
Contextual screening of candidate resumes - Unlike keyword mapping, contextual screening is more accurate as well as extensive in comparing the candidate profile with the job description. Screen thousands of resumes and shortlist potential candidates in a matter of minutes and with high accuracy.
Impersonation detection - Identify and authenticate candidates via vocal & facial biometric techniques to address malpractices especially where vocal and physical impersonation is considered.
Behavioral analysis - Does not miss to identify any unusual movement within the candidate’s behavioral pattern throughout the entire interview process.
Custom online assessment - Define a job description specific online assessment to streamline the candidate shortlisting process on an autonomous mode.
Inbuilt interview platform - Schedule and conduct interviews manually or let the automation engine conduct the autonomous interviews on behalf of your company.
AI analysis - Use extensive Body Language Analysis combined with Speech Recognition; analyze for candidate behavior, skills and personality.
Automation in the recruitment process helps achieve speed and accuracy. Average time taken to screen a resume is 3 seconds. This tool gives the recruiter the power to work more efficiently.
Features: resume screening, online assessment, auto scheduling, manual/autonomous interviews, lip sync analysis, facial biometric, communication analysis, behavioral analysis, confidence analysis, objective analysis, priority queue.
Two interview variants of the product are available:
Manual interview – a recruiter from your company conducts the interview.
Autonomous interview – the system conducts interview automatically. After interview the system sends you report, there is no need for waiting. Report includes Lip sync analysis and facial biometrics for fraud detection, confidence analysis, personality analysis, behavioral analysis, objective analysis, interview transcript.
View the following sections for details on interest areas:
Useful resources:
The Economic Times newspaper article: Nine in 10 companies still prefer conducting virtual interviews: Survey
(Shift to virtual interviews started during Covid-19 pandemic and evolved hiring practices. Companies saved time and costs. HR managers save substantial time each week by using virtual interviews. Large percentage of employers continue to use virtual interviews. It indicates rapid adoption and acceptance of virtual hiring methods.)
The Times of India newspaper article: IT firms complain as candidates con their way to jobs
(How fake 'techies' are conning tech companies for jobs)
The Indian EXPRESS newspaper article: Software developers booked for rigging interview to land job in healthcare firm
(Team heads noticed that the work of these two employees did not match the marks they obtained during the interview process)
The Times of India newspaper article: Bots for better hires: How tech is able to assess a candidate
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