Help us validate digital psychometrics and more, using real therapy conversations
Feelpath is building a researcher-friendly platform to advance mental health care: a secure, working telehealth environment where session language can become carefully validated measures, visuals, and clinician- and client-usable tools.
Built for PIs, labs, clinics, and individual collaborators running validation and outcomes studies.
A simple research-ready flow
Session language in
Secure transcript capture from real clinical conversations.
Measures + facets
Composite and facet scores designed for validation work.
Exports + tools
Datasets, figures, and clinician/client views for outcomes studies.
What we’re trying to validate
A note from the founder
I'm optimistic about technology and the benefits it can bring, as long as it's used in a responsible and careful way. This is why I built Feelpath with two commitments that I take personally: protecting privacy, and supporting real mental health research.
My goal is to make Feelpath the premier research platform for mental health, supporting exceptional researchers in advancing our field.
However, I'm also a user of these kinds of tools. I know how vulnerable therapy can be, and how important it is to feel safe, private, and protected. That's why I'm committed to building Feelpath as a trustworthy system with clear consent, careful data handling, and strong accountability.
I believe mental health only improves when we learn from real data, responsibly. My aim is to make Feelpath a platform researchers can rely on to run high‑integrity studies that translate into better patient outcomes and better care.
Nick Venturino
Founder, Feelpath
Study concepts designed to be publishable and realistic
Quick early wins → stronger evidence later. Each concept below is framed around measures, endpoints, and concrete outputs you can use in papers, posters, and clinical workflow studies.
Concepts
3 optionsWhy this is a good starting point
The best early studies are the ones that are easy to run, easy to write up, and honest about limits. This menu is designed to generate publishable artifacts without over-claiming clinical impact.
What we provide
You bring the study design and hypotheses. We provide a working platform and careful data handling. For research exports and study workflows, we’ll propose a clear plan with you (US-only for now).
- Today: a working platform with consent-first session capture and HIPAA-focused controls
- Proposal: research exports (CSV/JSON) designed around your study aims
- Proposal: de-identified datasets designed for research use
- Proposal: a clear field list (“data dictionary”) so analysis is straightforward
Example outputs (proposal)
Measurement files
CSV exports, scoring definitions, and a clear codebook so cohorts stay consistent over time.
Figures for papers
Longitudinal plots, facet profiles, and excerpt-backed summaries that translate into methods sections.
Clinical artifacts
Clinician-facing views and client-ready psychoeducation that can be studied as interventions.
Privacy, confidentiality, and HIPAA, clearly explained
US-only for now. Below is the high-level overview; the longer guide goes deeper.
BAAs with core vendors
We have BAAs in place with the vendors we use to run Feelpath (including Zoom, AWS, Kinde, and OpenAI).
Consent at session start
Participants choose what to save and what to share at the start of a session (based on the options in the join flow).
Audit logging
We maintain HIPAA-compliant audit logging to support accountability and review.
Want the full details for your IRB packet and methods section? We publish a longer guide and a PDF you can share with your team.
Interested in validating ALI and related measures?
If you’re working in digital mental health, affective science, or psychotherapy process and outcome research, we’d love to compare notes and co-design a study that fits your lab.