Traditional evaluation tools are prone to Response Bias, a term used to describe the way a prospect may be influenced when self-reporting.
With Computational Linguistics, response bias is removed and insights are more accurate and reliable.
In-depth pro mindset comparables are available in real-time following a prospect's virtual scout interview.
MVProspect uses machine learning to be more accurate at prospect evaluations. Our machine learning algorithms use thousands of historical pro athlete interviews as input for our comparables.
Unfortunately it’s easy to evaluate talent in a way that inadvertently favors one prospect over another. Using MVProspect, talent evaluations are meaningful, appropriate and fair to all prospects.