In this brief video, Chris at Kunze Analytics explains that it's more realistic and powerful to accept uncertainty when simulating and estimating outcome results in the Assessment industry.
Chris demonstrates how AI optimization and simulation software forecast value as a distribution of possible outcomes.
Few people like writing checks to the IRS. Similarly, no one wants to waste money on a hiring or employee development solution that has not been validated by relevant criteria.
Overall Job Match and Job Fit scores become more predictive of performance. That brings great value turning HR into a profit center.
In this video, Chris at Kunze Analytics references thirty (30) years of research to understand the difference between status quo Assessment usefulness (validity) and Machine Learning usefulness. Next, Chris demonstrates how Machine Learning also reduces the risk of using Assessments in error.