PMDD
Daily symptom tracking with the DRSP — the same scale used in clinical trials. Two complete cycles become clinical documentation.
This isn't a period tracker. It isn't a fertility app. HormonaIQ is built for people whose symptoms change across the month and still get dismissed. Log the pattern. Bring cleaner evidence into care.
Meet Ora
Ora is HormonaIQ's AI companion. The goal is simple: help you capture symptoms in plain language, connect them to cycle phase, and turn the pattern into something easier to bring into care.
We are designing this carefully because PMDD, PCOS, peri, endometriosis, and ADHD-cycle overlap all carry sensitive stories, not just data points.
You should not need a spreadsheet just to be believed.
How it works
Rate symptoms, sleep, focus, medication effect, and cycle context without turning tracking into homework.
Two complete cycles begin to show whether symptoms cluster around luteal phase, irregular cycles, or treatment changes.
The goal is an exportable report built for appointments: cleaner than a mood diary, more specific than a period calendar.
Built for
Most cycle apps assume one condition and a 28-day cycle. Most women here have neither.
Daily symptom tracking with the DRSP — the same scale used in clinical trials. Two complete cycles become clinical documentation.
Rotterdam criteria logging. Irregular cycle tracking that doesn't assume a 28-day pattern. Data your endocrinologist can use.
Greene Climacteric Scale built in. Tracking that takes the transition seriously — not as a mood disorder, as a hormonal shift.
Medication efficacy mapped onto cycle phase. Understand why focus and executive function change across the month.
Many of you carry more than one condition. HormonaIQ tracks them together — not as separate problems requiring separate apps.
Why we are building it this way
People already track this in Notes, spreadsheets, Bearable, Clue, Stardust, and paper logs.
The most requested output is not a pretty chart. It is a report a clinician can understand.
The first build is focused on learning from users before we ask anyone to trust it daily.
FAQ