This paper proposes a novel aggregation method using the Kumaraswamy distribution to analyze partial metric values, particularly in the evaluation of video quality. Through a weighted mean aggregation procedure, we unravel the underlying effects on the data. The three experiments analyzed in this paper demonstrates the methods efficacy regardless of the time aggregation, ranging from days, minutes, and frames. This approach, grounded in the Kumaraswamy distribution, offers a robust analytical tool to understand how individual metric values amalgamate, affecting overall user perceptions and experience.