Job simulations over job descriptions - and the art of hiring for light industrial jobs The Recruitment Hackers Podcast

Interview of Maya Huber from Tatio.io , an expert in recruiting and staffing with a PhD in the future of work and job analysis, discusses the changes in the workforce. She emphasizes the importance of light industrial workers and their role in driving the workforce. Maya explains that while robots may change certain aspects of these jobs, new approaches should be implemented to improve efficiency. Max Armbruster asks Maya about her predictions regarding job changes due to technological advancements, to which she responds that everything happened faster than expected. She mentions that career paths are becoming less linear and more project-based, particularly in light industrial spaces where people switch between jobs frequently.Maya highlights that companies with high automation levels still require human operators for certain tasks. The demand for positions within the light industrial space is changing as well. TaTiO's solution replaces traditional selection processes for job candidates with visual job simulations, creating a more engaging experience and improving hiring decisions. Maya explains how this approach helps candidates understand what a job requires within minutes instead of reading multiple similar job descriptions.They further discuss why "gamification" is not a suitable design mantra when building a job application process, as applying for a job is serious business rather than playful or easy.Maya suggests going back to a more personalized and hands-on approach in the hiring process. She emphasizes the importance of making meaningful connections with candidates and avoiding solely relying on technology. Maya also shares her hiring mistake of trusting her gut instinct without proper assessment, highlighting the need for simulations to evaluate skills before hiring.