Our Company

Project name

Maternal Alcohol Resources & Information (MARI)

Industry

Education

Scope

Co-produced maternal health web app supporting women who are trying to conceive, pregnant or in early motherhood. Provides personalised guidance and simple tracking to support informed decisions about alcohol use. Live and in testing.

Trust name

Liverpool John Moores University

Location

London

Tech stack

Node.js, TypeScript, Express.js, MongoDB, Docker, Microsoft Azure

Project Overview

Liverpool John Moores University partnered with Claryon Systems to deliver the Maternal Alcohol Reduction Intervention, a digital platform supporting women who are trying to conceive, pregnant or in early motherhood. The web app provides personalised guidance and practical tools to help women make informed decisions about alcohol consumption in a supportive and non-judgemental way.

Problem Statement

Guidance around alcohol use during pregnancy is often inconsistent, difficult to access and shaped by stigma. Women reported feeling judged, confused or unsupported, and existing digital resources did not reflect real life behaviours or individual circumstances. There was a clear need for an accessible intervention designed with women, not just for them.

The Outcome

MARI is now live and undergoing structured testing with users and professional stakeholders. Early use focuses on understanding engagement, usability and how effectively the platform supports reflection, tracking and access to trusted guidance. Ongoing testing and feedback is informing refinement ahead of wider rollout.

Steps we took

1

Co-production

Worked closely with maternal populations, researchers and public health professionals through workshops and testing to shape content, tone and functionality

2

Design and build

Developed a mobile friendly web app with personalised guidance, simple tracking and inclusive design principles.

3

Test and refine

Launched the platform into live testing to gather early engagement data and qualitative feedback, supporting iterative improvement

A glimpse of this application

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