Cox regression is a predictive model that can be used to analyze the factors influencing the “time until an event occurs.”
For example, it can be used to evaluate when certain events—such as customer churn or employee turnover—are more or less likely to occur.
Therefore, it is also applicable for analyzing the time it takes to complete a given task by identifying which variables tend to accelerate or delay task completion.
For more details about Cox regression, please refer to the link below.