app-guides

How to Use Floriva for PCOS Tracking

PCOS generates years of irregular cycle data and hormonal symptoms. Floriva stores all of it on-device. How to configure it for useful PCOS tracking.

PCOS and the Data Accumulation Problem PCOS management is a long term project, not a one time fix. Cycles may be irregular for years. Treatment responses need to be evaluated across multiple cycles. Hormonal symptoms wax and wane. The data you accumulate over that time is a detailed health record with both clinical value and privacy implications. Apps that store PCOS data on servers accumulate years of that health information outside your control. The FTC found in 2021 that Flo shared reproductive health data with Facebook and Google. For a PCOS user who has tracked symptoms for three years, that's three years of detailed health patterns in a system with that documented history. Floriva's on device architecture means the long data history PCOS tracking requires never becomes a server side liability. The tradeoff is smaller prediction datasets. Floriva's cycle predictions don't have the same scale as server based apps. For PCOS users whose cycles are irregular anyway, prediction accuracy is less important than accurate logging and privacy. What Makes PCOS Tracking Different The fundamental challenge with PCOS tracking is that the condition undermines the assumptions most cycle apps