About

Built by a clinician.
Designed for patterns.

PsychPod began with a clinical observation: most people who walk into a mental health consultation have spent weeks or months trying to remember how they've been. Memory is reconstructive, we compress the hard days, forget the good ones, and answer clinical screeners based on how today happens to feel.

The result is that both the person asking “am I okay?” and the clinician trying to help lose valuable signal. Ninety seconds a day of structured reflection changes that.

The approach

Every item in the daily check-in traces back to validated clinical instruments. Mood questions are derived from PHQ-9. Energy draws from activation research. Social connection items echo the UCLA Loneliness Scale. Sleep is grounded in research showing that sleep-mood coupling is stronger than the reverse.

The weekly and monthly summaries apply pattern-recognition work from Greenberger & Padesky, emotional variability research from the Immediate Mood Scaler studies, and findings on emotional granularity from Boghrati et al. (2024). None of this matters unless it becomes a usable tool, so the app strips the complexity and returns the signal in plain English.

What it isn't

PsychPod is not a medical device. It doesn't diagnose. It doesn't prescribe. It doesn't replace a therapist. What it does is give you a longer view of yourself than memory alone can provide. That view is yours to use however you choose, take it to a clinician, talk it through with a friend, or keep it private.

Free forever

The core app is free, and the daily check-in, journal, history, trends, and clinician export stay free. A few optional paid upgrades are available if you want them, such as removing the ads on our blog. These are ordinary one-time digital purchases, never required to use the app.

Privacy

Your data is yours. Your journal and check-ins are private to you, protected by per-user access controls and encrypted at rest, so no other user can read them. Research sharing is strictly opt-in, reversible in one tap, and shared data is stripped of direct identifiers like your name, email, and IP. Read the privacy policy for the full detail.