Example report: 12 months of PeriTrack, anonymized
Before you decide on a plan, you should see what you get. This is a real account — anonymized, using the same screens you see after logging in.
Anna, 39
Anna is 39. Her cycle is starting to become irregular — sometimes 24 days, sometimes 34. What actually bothers her are three other things: brain fog at work, a new inner restlessness she does not recognise in herself, and visibly thinning hair. Over the course of the year she starts hormone therapy together with her doctor. The screens below show how that appeared in her data.
What this report is not
Not a success story with a guaranteed outcome, and not a treatment recommendation. These values belong to one person and are published anonymized with her consent. What PeriTrack provides is visibility: trajectory, connections and timing. Treatment decisions always stay with your doctor.
The trajectory in nine steps
Month 1: First look: many symptoms, no pattern
Anna starts with a lab report she already had, plus her symptoms. Almost every single value sat "within the reference range" — which is exactly why nobody had been able to explain how she felt. The Perimenopause Health Score combines the markers into one picture and shows which area is pulling hardest.
Month 1: Lab values as a trajectory, not a snapshot
Every marker gets a status relative to the clinical optimum — not just to the wide reference range. PeriTrack also checks whether the value was measured on the right cycle day. For Anna that was the crux: two of her hormone values had been drawn on a day when they say almost nothing.
Month 3: Brain fog and anxiety get a trajectory
Anna logs symptoms and sleep regularly, wearable data flows in automatically. The Neuro-Sleep Index connects night-time waking, recovery and the relevant markers. What became visible: her worst days were not randomly distributed but clustered in the second half of her cycle.
Month 4: Hair loss: from worry to observation
The Hair Vitality Index bundles the markers associated with the hair cycle. Two themes stood out for Anna: a low iron store and thyroid values at the lower edge. Both were discussed with her doctor before hormones were even on the table.
Month 6–12: After starting HRT: what the data showed
After medical assessment, Anna starts hormone therapy. PeriTrack does not judge the therapy — it shows the trajectory: how markers, sleep quality and symptom load change over the months, and whether follow-up measurements are timed correctly. With transdermal application the app also flags which arm should not be used for the blood draw, so the value is not distorted.
Month 6: The Metabolic Efficiency Index: metabolism as one picture
Waist, blood sugar, blood lipids and inflammation rarely tell a clear story on their own. The Metabolic Efficiency Index brings these markers together into one reading of how efficiently Anna’s metabolism is currently working — and shows where she stands compared with her age group. For Anna the most striking part was not her weight, but her triglyceride-to-HDL ratio.
Month 7: Why metabolism suddenly behaves differently
Anna eats the way she always has and still gains weight. The Personal Metabolic Rate shows her resting expenditure not as a generic formula but in relation to her current hormonal and metabolic situation. A brake became visible: the estimated rate sat below what a pure age/weight formula would have produced. That finally gave her experience an explainable frame.
Month 8: Weight planning with a realistic projection
Instead of a blanket calorie number, Anna works with a plan that combines her actual expenditure from wearable data, her goal and her timeline. The projection shows the expected trajectory and compares it week by week with measured weight. When plan and reality drift apart, that becomes visible — not six months later.
Month 9: Longevity: biological age as a reference point
Anna’s blood markers produce an estimate of her biological age based on an established scientific model. For her this was the moment perimenopause stopped being only a symptom topic: inflammation, blood sugar and blood count get a shared reference point that can move over the months.
Month 10: Risk profiles: heart, nerves, metabolism
Three profiles sort Anna’s markers and inputs into long-term areas: cardiometabolic, neurocognitive and metabolic. They do not predict what will happen — they show which areas deserve the most attention right now and which single value contributes most. For Anna it was the inflammation marker, not her weight.
Month 10: Neurocognitive profile: focus seen long-term
Brain fog feels acute, but it also has a long-term side. The neurocognitive profile places Anna’s markers and her inputs on sleep, movement and metabolism into a picture that directs attention instead of creating fear. For Anna, sleep quality and inflammation stood out — both changeable.
Month 11: Metabolic-cardiac profile: the sum of small values
The third profile brings together blood pressure, lipids, blood sugar and body composition. No single value was dramatic for Anna — but the sum showed which area offered the most leverage. That made it far easier to decide where to start.
The lab values, before and after
- Estradiol (E2): 31 pg/mL → 78 pg/mL — Highly variable at first, plus poorly timed measurements.
- Progesterone (P4): 1.8 ng/mL → 6.4 ng/mL — Mid-luteal phase — the only point where this value says something.
- FSH: 18 IU/L → 14 IU/L — Only interpretable on cycle day 2–3, misleading otherwise.
- Ferritin: 24 ng/mL → 68 ng/mL — Low store, relevant for the hair cycle and T4→T3 conversion.
- fT3: 3.9 pmol/L → 4.8 pmol/L — Lower third before — consistent with the low iron store.
- CRP (hs): 2.4 mg/L → 0.9 mg/L — Inflammation can block iron use even when the store looks "adequate".
- HbA1c: 5.6 % → 5.3 % — Evaluated together with sleep and activity, never in isolation.
What you see after purchase
- Your markers with a status against clinical target corridors — not only against the wide reference range.
- Timing check: whether a value was measured on the right cycle day and at the right time of day.
- Scores that connect markers into a picture: overall status, hair, sleep & cognition, metabolism.
- Trajectory views across months instead of snapshots — including before/after around therapy changes.
- Concrete next steps: which value is due when, and what to discuss with your doctor.
What PeriTrack cannot do
So you know where the limits are — before you pay:
- No diagnosis, no replacement for medical care. Treatment decisions, prescriptions and dosing stay with medical professionals. We prepare the conversation, not the outcome.
- No lab values out of thin air. Without blood work many scores stay incomplete. Blood draws have to be arranged by you through your practice or lab.
- No guarantee of improvement. Trajectories are individual. We show connections and timing — no guaranteed result and no promise of a cure.
- Limits of the evidence. Target corridors for perimenopause are based on studies of groups, not on you. Individual markers may behave differently; the interpretation stays an approximation.
- Not an emergency tool. For acute symptoms (severe pain, bleeding, cardiac symptoms) see a doctor directly — not the app.
Questions about this example
- Is this real data?
- Yes. The report is based on a real account, published rounded and anonymized. Name and details are changed, the trajectories are not.
- Will my account look like this?
- The structure is identical. Which scores are visible depends on your plan, and how much trajectory you see depends on how many measurements you have logged.
- Do I need a wearable?
- No. Wearable data from Oura, Withings or Polar refines sleep and activity readouts, but it is not a requirement.
- Does PeriTrack evaluate my hormone therapy?
- No. PeriTrack shows trajectories and connections and makes it visible whether follow-up measurements are timed correctly. Treatment decisions stay with your doctor.
- How quickly do I see something?
- The first status appears with your first lab report. Meaningful trajectories typically emerge from the second and third measurement onwards.
Educational information, not medical diagnosis or treatment. All statements describe associations, not guaranteed cause and effect.
PeriTrack Insights