Part 2/10:
The journey began with the recognition that traditional measures weren’t enough. The individual utilized Fitbit’s data, capturing sleep, step count, heart rate variability, and stress scores. Simultaneously, they employed ChatGPT’s new data analysis features to process and visualize this information. The goal? Identify what factors truly contributed to feeling energized versus drained.
Initially, manual data transfers and screenshots highlighted a crucial observation: days with high Readiness Scores—a Fitbit metric that combines sleep quality, activity, and heart rate variability—correlated strongly with days when they felt good. Conversely, low scores often predicted fatigue and exhaustion.