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The Science Behind PI


In today’s competitive business landscape, organizations are increasingly turning to data-driven approaches to enhance their talent management strategies. One such powerful tool is the Predictive Index (PI), a scientifically validated behavioral assessment framework that helps organizations understand the unique drives and behaviors of their employees.

PI assessments are developed following recognized psychological standards & guidelines.

PI assessments are developed following recognized psychological standards and guidelines.

The assessments are designed to prevent employment discrimination and promote fair and unbiased hiring practices.

The Predictive Index offers research services, including criterion validation studies, to fulfil the requirements of the EEOC Uniform Guidelines.
Rigorous research and validation studies demonstrate the legal defensibility of the PI assessments and provide clients with documentation to support their hiring decisions.
Adhering to these guidelines ensures the validity, reliability, and ethical use of the assessments.

The Predictive Index assessments support clients’ legal compliance with the Equal Employment Opportunity Commission (EEOC) and the Uniform Guidelines on Employee Selection Procedures.

These standards include those set by organizations such as the American Psychological Association (APA), the Society for Industrial and Organizational Psychology (SIOP), and the International Test Commission (ITC).
  • 400+ job performance studies conducted in 30 years.
  • 25,000+ employees across 120 job roles samples against nearly 5,000 job performance measures
  • 94% of studies showed significant links between PI measures and job performance.


98% said PI enhances their hiring process
70% said PI helps to remove bias and subjectivity from their hiring process.
67% said PI helped them achieve stronger employee engagement throughout their organization.
81% said using PI for coaching helped them develop better employees.

Success Stories What Our Clients Say

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