AI-Driven Mock Interviews: A Catalyst for Enhanced Interview Performance

Abstract

Mock interviews have long been recognized as a valuable tool for job seekers to enhance their readiness for real job interviews, providing invaluable insights into a candidate's communication, confidence, preparation, and time management skills. However, traditional human-tohuman mock interviews can be expensive, offer limited attempts, may not always provide immediate feedback, and could potentially be influenced by personal biases. Additionally, they may not always provide the diverse range of interview scenarios that a candidate might encounter in the real world. In order to study the impact of AI-Powered mock interviews, this research utilizes Skill2030.com a platform that offers job seekers a realistic AI-powered mock interview experience with personalized feedback while promoting diversity and inclusivity. An ethical approach is followed by the researchers in utilizing AI by excluding protected parameters like age, gender, ethnicity, etc., from the analysis. The study involves 6619 interviews conducted for candidates from 998 colleges across India representing all tiers (Deemed Universities, IITs, Affiliated, and Autonomous Engineering Colleges) with a 30-70 rural/urban split. With a high positive feedback rate of 98.5%, the AIbased platform successfully provides realistic simulations, personalized feedback, and greater accessibility, enhancing overall job seekers' preparedness and success rates in India's competitive job market. Results gleaned from the feedback demonstrate that candidates with robust communication and writing skills exhibited a higher degree of confidence. A separate study of 500 candidates who used the AI-based platform as a learning tool to enhance their interview performance reveals promising and interesting patterns in how candidates improve by over 30% with consistent practice in parameters like technical correctness, pronunciation, intonation, fluency, and grammar.