Career Guidance That Stands On Science..
Our career assessment provides the highest degree of predictive accuracy so you can be confident your teen is being given valuable advice.
We've Got The Numbers Too.
Built specifically for college-bound students from the most sophisticated behavioral research that accurately predicts career success.
- Over two decades of real world application supported by 60+ years of behavioral research.
- Used by over 3 million people worldwide.
- Uses over 430 million predictive data points and scientifically validated to predict success across 1,000 unique role types.
- With billions of possibilities, no two individuals will get the same results, ensuring the unique predictive value of your results.
This is not just any “career test”
Our assessment is normative, meaning it predicts. Leading behavioural psychologists, university admissions teams, and many of the world’s largest employers use normative assessments for accurate forecasts on future happiness and career success.
Normative Measurements
- Inter-Individual assessments offer insights into how your personality compares to the general population to see how your unique personality traits compare to those in various professions.
- Gives you a Career Fingerprint™ that is statistically likely to lead to job satisfaction by matching strengths to job requirements and work environments.
- Provides reliable data that can be used across various career counseling advisories to predict future career success and personal happiness.
- Typically used by large companies for predictive employee data.
- Utilized in Employee Performance Evaluations for Google & Microsoft and for hiring solutions at Amazon and Sun Life.
Ipsative Measurements
- Intra-personal assessments may be better for tracking personal growth and changes, not for predicting future success.
- Forced-choice and ranking questions only measure binary preferences and do not account for variability, range, and specificity.
- Data focuses on personal, individual differences and doesn't offer population-level comparisons, leading to a lack of predictive capabilities.