How to make applying for jobs less painful | The Way We Work, a TED series

The traditional hiring process is fundamentally broken, evidenced by the fact that 75% of applicants never hear back from employers while 46% of new hires quit or are fired within their first year. Resumes serve as the primary bottleneck because they focus on past experience rather than future potential, failing to account for the rapidly changing needs of the modern economy. Transitioning to scalable, neuroscience-based "multi-measure tests" allows companies to identify inherent traits like attentiveness, restraint, or creativity through interactive exercises. This data-driven approach enables more accurate job matching by comparing candidate profiles to those of existing top performers. Crucially, these algorithms can be pre-tested and adjusted to eliminate human biases related to gender, ethnicity, and socioeconomic background, offering a more equitable path toward matching individuals with careers based on their deeper characteristics rather than their credentials.