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Predicting Sales Performance with Core Drivers
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This validation study examines whether personality assessment scores can predict sales performance at a technology company in the food and hospitality sector. Matching Core Drivers scores against standardized performance ratings across 65 sales employees, it sets out to build an evidence-based foundation for talent decisions grounded in real organizational data.

Main findings:

  • Drive and Extraversion both showed statistically significant positive relationships with sales performance, together accounting for around 10% of performance variation.
  • Effect sizes aligned with the broader scientific literature, reinforcing that the right personality traits are a reliable signal for sales potential.
  • Stability showed a positive trend but did not reach significance, likely a sample size effect worth revisiting as the dataset grows.
  • The findings provide a concrete, evidence-based foundation for screening, coaching, and developing sales talent more consistently.
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.

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