Women have historically been underrepresented in research, which means menstrual cycle performance and health insights have been under-measured and under-explained. For something that impacts half the population, that’s a massive blind spot. At WHOOP, we’re changing that. We’ve studied 45,000 menstrual cycles across 11,000+ members to better understand how physiology shifts across the cycle. Because the average person with a menstrual cycle experiences 451 cycles in a lifetime, this isn’t a niche issue. It’s a lifelong performance and health variable. Our data shows clear, predictable physiological fluctuations across the cycle, including measurable changes in resting heart rate (RHR), heart rate variability (HRV), and recovery. By understanding these patterns, women can train, recover, and live in alignment with their cycles. We’re working to turn these complex findings into clear, actionable guidance women can use. It’s no longer an option for data to neglect half of the world’s population. For those who want to explore the full research and methodology, read our complete research here: https://tr.ee/TP1zBj
Important step. Data isn’t the problem anymore. Translation is. Most ambitious women probably don’t need another dashboard telling them their HRV dropped. They need to know “What do I actually do today, in the middle of a full life?” That’s exactly why we built Una → One action. → Chosen for you. → Tuned to your cycle + real-world capacity. knowing your physiology is useful, but acting on it, consistently, changes everything.
This is really great to see. As someone with PCOS who has been tracking my cycle for years, lifestyle and nutrition changes have been the biggest factors in managing my symptoms, so having reliable physiological data is extremely helpful. When cycles aren’t perfectly regular, recovery metrics, HRV, sleep, and temperature trends give much more useful insight than fixed cycle predictions, especially when trying to align training, stress, and recovery with hormonal changes. It’s very encouraging to see more research in this space, because for many of us cycle tracking isn’t just about fertility, it’s about long-term health, performance, and feeling in control of our bodies.
I'd love for you to partner with a company that actually monitors hormones daily like Proov to really understand your user's unique cycle. Not some "average"
Great to see more focus on women's health side! I'm a Whoop user and would love to see more focus here like we are seeing from Oura! e.g., FDA-approved partnership with Natural Cycles etc.
Great to see a company investing in research on women’s physiology and the menstrual cycle. Increased representation in this area is long overdue, and deeper understanding will only strengthen both science and health outcomes.
This is such an important step forward. What’s exciting is not just the data itself, but finally translating these patterns into something women can actually use in daily life. The next challenge is making this truly personal, because averages don’t capture how differently each body experiences the cycle.
We’re amazed that traditional healthcare research has neglected this for so long. Kudos to you WHOOP 🎯
Love that women's health is finally being incorporated and considered necessary in a wearable's data.
Big steps forward for women's health, thank you WHOOP for helping to pave the way and show the importance of having women represented accurately in data.
Held By Mercy™•2K followers
1wWhat stands out in this conversation is how fragmented these data streams still are. Wearables are capturing continuous physiologic signals, while hormone platforms are capturing biochemical changes—but in real-world application, those systems aren’t always connected in a way that supports timely, actionable decision-making. As an RN navigating both hormonal variability and physiologic pattern tracking in real time, I’ve seen how often meaningful changes show up across multiple systems before they’re recognized clinically. Bridging continuous wearable data with daily hormonal insights has the potential to move this space from tracking into earlier awareness and intervention—particularly in women’s health, where variability is often the signal, not the noise.