Reliability Score Goes Live

Humanas has introduced Reliability Score as a new quality layer within the MetaCV interpretation process.

In human analytics, the output itself is only one part of the decision. Another critical question is: how should this output be read? Reliability Score helps answer that question by adding behavioral response signals to the interpretation layer.

The first phase of Reliability Score focuses on response duration, timing patterns, and extreme behaviors. Very fast or unusually slow response patterns may carry useful signals about engagement, hesitation, social desirability, or data quality. By making these signals visible, Humanas gives decision-makers a more careful and informed way to interpret MetaCV outputs.

This does not mean that a single score should determine a person's value or potential. Instead, Reliability Score works as a contextual layer. It helps recruiters, HR teams, and analysts understand whether a given output should be read as strong, moderate, or requiring further review.

For Humanas, this feature is important for both product quality and scientific trust. It strengthens the connection between gamified experience, behavioral data, and decision support.

Reliability Score represents a shift from simply asking "What does the profile say?" to also asking "How confidently should we interpret this profile?"

That distinction is essential for responsible people analytics.