Philipp Kahr's blog post, part of a series on using Strava data with the Elastic Stack, explores how to better understand workout data by visualizing it through Kibana Lens. Strava, a platform used by athletes to track fitness activities, is the starting point for extracting and examining data from devices like Apple Watch and Garmin. The post delves into the concept of Training Impulse (TRIMP), a metric for assessing workout impact based on heart rate and other factors, and demonstrates its calculation using Kibana Lens. Kahr provides a guide to implementing TRIMP average and TRIMP zone formulas, which categorize heart rate into zones to better analyze training intensity. The article encourages readers to engage with their data using Elastic Cloud or a self-managed Elastic Stack, inviting them to explore prior and subsequent posts in the series for a comprehensive understanding of Strava data analysis.