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.
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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.
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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.
