Home

Mood Tracker with Doctor Reports That Actually Help

Your psychiatrist has 15 minutes. You have weeks of data to share. Steadyline generates clinician-ready reports that make every appointment count.

The 15-minute problem

Your psychiatrist appointment is 15 minutes. In that time, you need to convey weeks of mood changes, sleep patterns, medication side effects, and daily functioning. Most of it gets lost — because you're relying on memory, which is unreliable at the best of times and actively distorted during mood episodes.

The result: your psychiatrist makes dosage decisions based on incomplete data. Medication adjustments that should take months take years. Episodes that could have been caught early get caught late.

What Steadyline's clinician report includes

  • Mood trend graphs — visual timeline of mood polarity over weeks
  • Sleep variability data — the metric most predictive of episode onset
  • Medication adherence — what was taken, when, and correlation with mood changes
  • Irritability & energy patterns — the clinical signals psychiatrists use but patients rarely report
  • Stability score trend — is the baseline holding, improving, or deteriorating?
  • AI-flagged concerns — patterns the algorithm detected that warrant clinical attention

Designed for how psychiatry actually works

Most tracker "reports" are just data exports — CSV files or raw charts that take 10 minutes to parse. Steadyline's reports are designed for a 15-minute appointment: key metrics up top, trends at a glance, flagged concerns highlighted. Your psychiatrist can scan it in 30 seconds and spend the rest of the appointment on decisions.

Why data beats memory

When you're hypomanic, you feel great — so you report feeling great. You forget the three nights of 4-hour sleep that preceded it. When you're depressed, everything feels like it's always been this way. The data tells the real story, and a proper clinician report presents it clearly.

Related reading

S

Try Steadyline free for 30 days

Track mood, energy, sleep, and stability with AI pattern detection. Clinician reports included.