To help women have better insights into their hormones, WHOOP has announced a range of new features for users in Ireland.
The human performance company has widened its women’s health feature set in Ireland with the launch of Hormonal Symptom Insights and Predictions, a significant update to its Menstrual Cycle Insights and Pregnancy Insights offering.
For many women, hormonal changes influence far more than just their cycle. Energy levels, sleep quality, mood and training capacity can shift throughout the month. Yet traditional tracking tools often rely on static calendar averages that fail to reflect that variability. Within the WHOOP app, menstruating members now receive a personalised model of their cycle that adapts over time based on their unique physiological data and historical patterns. Rather than relying on static calendar tracking, the system continuously learns from longitudinal biometric signals to provide accurate predictions that evolve as more data is collected. Members now have access to key cycle data that enables them to adjust daily routines, fitness programmes and recovery practices with greater clarity and anticipate potential symptoms rather than simply record them.
The expansion builds on the existing Menstrual Cycle Insights feature from WHOOP, which leverages continuous biometric data including heart rate variability, resting heart rate, skin temperature, respiratory rate and recovery trends to generate personalised cycle predictions with minimal manual input.
“What makes this powerful isn’t any single data point – it’s how the system comes together,” explained Emily Capodillupo, Senior Vice President of Research, Algorithms, and Data at WHOOP. “Women don’t experience their physiology in silos. Hormones influence sleep, sleep affects recovery, and recovery shapes training response. By modelling these interactions over time – across continuous biometrics, lab data, and behaviour – we can deliver guidance that reflects the full system, not just a snapshot.”