BACK-on-LINE App
Back pain prevention app for desk-based and sedentary workers
Project Overview
We built a mobile app for a health research initiative led by a UK university in partnership with national health and work safety agencies. The aim was to support workers in sedentary professions, such as train drivers, in reducing back pain through education and guided movement.
The app includes a library of instructional videos, a progression system for physical exercises, and simple, accessible content that empowers users to take control of their spinal health. Designed for low-tech users and distributed via internal pilot programs, the app supports full offline use to accommodate users without consistent internet access.
Key Features
- Video-based exercise library categorized by difficulty and setting
- Progressive routines that adapt to the user’s stage and performance
- Simple navigation designed for accessibility and low digital literacy
- Survey and feedback features integrated into the UX
- Fully functional offline with no internet required post-installation
- Internal pilot rollout to validate usability with the target audience
CLIENT
UK University Research Program
TIMELINE
4 weeks - Q4 2023
TECHNOLOGIES
SERVICES
Project Gallery
The Challenge
The client needed a tool to help reduce back pain among sedentary workers by promoting simple but effective movement routines. Existing educational efforts were limited to printed materials and lacked engagement. Additionally, the app needed to serve a user base with limited tech familiarity and inconsistent internet access.
- Low engagement with traditional formats
- Target users with low digital literacy
- Requirement for full offline access
- Strict government accessibility compliance
Our Solution
We designed a mobile-first experience with a focus on accessibility, guidance, and offline capability. Our solution included:
- Minimalist UI with large tap targets and intuitive navigation
- Offline caching of all videos and content
- Clear instructional structure with progressive levels
- Filters for job setting, difficulty, and exercise type
- A backend that allowed content iteration based on pilot feedback
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