ŌURA has just unveiled groundbreaking results from a new study published in JMIR, showcasing the accuracy of its Cycle Insights feature, now enhanced with Fertile Window predictions. The findings confirm that physiology-based tracking using the Oura Ring significantly outperforms the traditional calendar method in estimating ovulation.
A Smarter Approach to Ovulation Tracking
Oura’s Cycle Insights recently expanded to include Fertile Window predictions, utilizing two sophisticated algorithms that analyze past cycles alongside physiological data such as heart rate, heart rate variability, temperature trends, and respiratory rate. This upgrade provides Oura Members with deeper insights into their fertility, including estimated fertile days, the chance of conception, and detected ovulation timing.
Key Findings from the Study
The study’s results demonstrate the superior accuracy of Oura’s tracking capabilities:
- 96.4% ovulation detection accuracy with an average error of ±1.26 days—substantially outperforming the traditional calendar method, which has an error margin of ±3.44 days.
- Oura’s ovulation estimate boasts a mean absolute error (MAE) of 1.26 days, with 87.9% of ovulations correctly detected within ±2 days. In comparison, Apple’s recent data reported an average error of 1.70 days, with 73.8% detected within ±2 days.
- Oura outperformed Apple for both typical and atypical cycle lengths, with an MAE of 1.18 days for regular cycles (compared to Apple’s 1.53) and 1.70 days for irregular cycles (versus Apple’s 1.91).
- Enhanced accuracy for irregular cycles, reducing ovulation detection errors from 6.63 days (calendar method) to just 1.48 days.
- 82% of ovulation estimates were within 2 days of the reference date, compared to only 32.5% accuracy using the calendar method for those with irregular cycles.
Study Overview
This study examined the effectiveness of physiology-based ovulation tracking using the Oura Ring, comparing its accuracy to the widely used calendar method. Researchers analyzed how the device performed across varying cycle lengths, cycle variability, and participant age, using ovulation prediction kits as a benchmark. The study included 964 female participants, with an average age of 33 and a self-reported mean cycle length of 29 days.
Empowering Women with Data-Driven Insights
Fertile Window is part of ŌURA’s larger mission to provide women with personalized, data-backed insights to better understand and navigate different phases of the menstrual cycle. This advancement follows the launch of Oura’s Perimenopause Report and underscores the company’s commitment to improving health tracking for individuals with irregular cycles and those transitioning through different reproductive stages.
With this latest breakthrough, Oura continues to set a new gold standard for menstrual cycle tracking, offering women more precise, science-driven fertility insights than ever before.
