At Talent Alpha we are use Talent Science to take on the unprecedented challenge of identifying the skills and traits that make a thriving IT specialist and a successful team. If you aren’t familiar with the term, Talent Science is a relatively new area that sits between HR, Data Science and Work Psychology.
Our Talent Science Team leverages Machine Learning and the best evidence-based knowledge from psychological research to create algorithms that match individuals in their current life circumstances to the best available projects on the market. We make sure that our measurements meet the highest possible scientific standards through rigorous multidimensional testing. We test multiple characteristics of our tests, such as:
- Objectivity – whether the test measures the trait with the same reliability for everyone, regardless of smartphone they use, the age they are, place they live etc.
- Standardization – explicit methods and procedures by which tasks should be administered are determined
- Reliability – the degree to which scores from a test are stable and results are consistent
- Validity – the degree to which evidence and theory support the interpretations of test scores for proposed uses of tests
- Usability – how easy and understandable is the test procedure for the person who takes the test1
1 Schultz, Duane P.; Schultz, Sydney Ellen (2010). Psychology and work today: An introduction to industrial and organizational psychology (10th ed.). Upper Saddle River, N.J.: Prentice Hall. pp. 99–102. ISBN 978-0205683581. OCLC 318765451.