Validation of a Trail Segmentation and Analysis Tool (TSAT) using Strava segmentation

Abstract

Purpose: Currently, there is no analytical tool specifically designed to manage performance and effort in trail running. To address this gap, we developed the Trail Segmentation and Analysis Tool (TSAT), which uses GPX data and Strava-based segmentation. The TSAT consists of two components: the Trail Identity Card and the Trail Effort Analysis. This study aimed to validate the tool’s content through expert evaluation. Method: Ten experts participated in the validation process of the TSAT through semi-structured interviews. They responded to closedended questions (analyzed using the Content Validity Index) and provided qualitative feedback through openended responses. Results: Experts unanimously found the TSAT to be reliable, relevant and useful. The Content Validity Index confirmed strong support for most components, although some thresholds were questioned due to limited empirical evidence. Qualitative feedback led to refinements, such as clearer definitions of trail technicity and broader segment categories. Conclusions: This research enabled the validation of the overall content of the TSAT. This tool offers practical applications for athletes, coaches, and race organizers by enabling detailed performance analysis. While the tool shows strong initial validation, a few minor modifications have been made, and further studies are needed to refine thresholds.