WHOOP, the human performance company, today announced its expanded 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 increasingly accurate
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.
New capabilities include:
· A dynamic date window for the next period, allowing greater anticipation and planning
· Tracked trends in cycle length, period length and variability, flagging irregular patterns before larger issues persist
· Analysed individual symptom patterns to anticipate when symptoms are most likely to occur
· AI-driven Daily Outlook recommendations that adapt based on menstrual phase, pregnancy stage, recovery metrics and logged symptoms
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,” said 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 modeling these interactions over time – across continuous biometrics, lab data, and behavior- we can deliver guidance that reflects the full system, not just a snapshot.”
Menstrual Cycle White Paper
WHOOP has published a comprehensive Menstrual Cycle White Paper outlining the research, methodology and validation behind its modelling approach. The white paper demonstrates how continuous physiological monitoring improves prediction accuracy over time, how the system accounts for variable cycles, perimenopause and hormonal birth control, and how prediction windows dynamically widen or narrow based on individual variability.
In addition to hormonal modelling, the Women’s Health feature set integrates the WHOOP Strength Trainer and Healthspan
WHOOP is the first human performance and healthspan system to integrate continuous hormonal modelling, predictive symptom insights, muscular load measurement and biological age tracking within a single wearable ecosystem.
With support from the WHOOP Medical Advisory Board, including Dr Robin Berzin and Dr Hazel Wallace, and in collaboration with Clue, WHOOP continues to advance innovation in women’s health in Ireland.