All whitepapers
Predicting High Potential
About whitepaper

Identifying high-potential talent is one of the most consequential decisions an organization makes, and one of the most likely to rely on familiarity, tenure, and gut feel rather than evidence. This study, conducted with a large energy organization, tests whether personality assessment can reliably predict performance against the cultural and leadership behaviors the organization values most, building a validated framework for hiring, succession, and development decisions at scale.

Main findings:

  • Personality predicted performance consistently across all 15 cultural and leadership outcomes, with an average correlation of .43.
  • The strongest predictor was initiative and results-driven behavior.
  • Using personality data over resume screening alone translates to up to 17% more accurate staffing decisions.
  • All models passed fairness testing across gender, age, and ethnicity, making them suitable for broad deployment without heightened legal or ethical risk.
Authors
Director of AI and Assessment R&D at Deeper Signals
Dr. Luke Treglown

Dr. Luke Treglown is a personality and social psychologist, specializing in personality, cognition, resilience, burnout, organizational culture, and artificial intelligence, and he holds a PhD in the psychology of employee disenchantment. Luke has published more than 35 papers and books, with work featured in leading journals and outlets including the BBC and the European Business Review. He has advised governments, royal families, and global organizations on leadership, talent, and culture.

Get your copy
Download
Get your copy
Download