Oura is expanding its reproductive health toolkit to better serve users who utilize hormonal contraception. Starting May 6, the smart ring maker will begin a global rollout of a new update within its existing Cycle Insights feature, designed to account for the physiological impact of various birth control methods on biometric data.
The company describes the update as a first-of-its-kind experience
, allowing users to input their specific contraceptive method from a list of more than 20 combinations. These options include common methods such as pills, patches, IUDs, and implants. By integrating this data, the system allows users to track their biometric data by accounting for the specific effects of their chosen contraceptive method.
Accounting for the Hormonal Baseline
Oura’s tracking system utilizes biometric signals to monitor a user’s cycle. When a user is on hormonal birth control, their biometric data may not follow the standard patterns associated with a natural menstrual cycle. This makes it difficult for the software to determine what constitutes a normal
reading for that specific individual.
The new update addresses this by monitoring the impact of contraception across three specific pillars: temperature patterns, sleep, and recovery. By knowing which contraceptive method a user is employing, the device can better contextualize these shifts, allowing the system to provide insights based on the user’s reported birth control method.
Oura’s approach allows the device to identify patterns specific to the user’s experience. By integrating a wide range of contraceptive options, the system can help the user understand how their own body responds to the method they have selected from the available options in the app.
Distinguishing Hormone-Free Intervals
A critical component of the update is the ability to distinguish between hormone-active days and hormone-free days. Many contraceptive methods, such as combined oral contraceptive pills, involve a period of time—often a placebo week—where the user is not receiving active hormones. During these intervals, the body’s biometric signals can shift.
The update allows users to track bleeding and symptoms over time, referencing that data to see how biometrics fluctuate across these different phases. This distinction is vital for identifying the user’s personal “normal.” When the system can separate the effects of the medication from the body’s underlying physiological state, it becomes easier for the user to spot anomalies.
This capability extends beyond simple cycle tracking. By establishing a clear baseline of how a user’s sleep and recovery metrics behave on and off active hormones, the feature is designed to help users flag unexpected health concerns. If a biometric shift occurs that does not align with the known hormone-free window or the established baseline for their specific birth control method, it may serve as a signal for the user to investigate further or consult a professional.
Because the update covers a wide array of delivery methods—from systemic options like patches and pills to localized options like IUDs and implants—the system must account for different hormonal loads and delivery cadences. The utility of the data depends on the user’s consistency in tracking their symptoms and bleeding alongside the automated biometric captures of the ring.
For millions of people, the goal of a period tracker is not to predict ovulation, but to maintain a clear window into their general wellbeing while managing a medication that alters their internal chemistry. By treating hormonal contraception as a primary variable rather than a disruption to the data, the hardware becomes a more effective tool for long-term health surveillance.
