Design Practice Problem
Create an accessible interface for people using health‑monitoring wearables. The app should summarise complex data into intuitive dashboards, detect trends or anomalies and encourage healthy behaviours. Emphasise inclusive design, accessibility (colour contrast, scalable fonts) and data security. Document your design rationale and how it meets user needs.
Problem Statement
Modern wearables monitor heart rate, sleep and daily activity. They are used for remote patient monitoring, early disease detection and personalised treatment. However, users often struggle to interpret the raw data and receive actionable insights. Design a companion mobile app that makes wearable health data understandable, engaging and motivating. The app should present metrics visually, provide personalised insights and alerts (e.g. abnormal heart rate), and respect privacy and regulatory requirements (e.g. HIPAA/GDPR). Consider multiple stakeholders: patients, caregivers and healthcare providers.
Submission Guidelines
Deliver wireframes and high‑fidelity mock‑ups showing key screens (dashboard, trend analysis, alerts, settings).
Provide a user journey map covering onboarding, data visualisation and intervention triggers.
Include a design rationale document explaining your choices regarding layout, colour, typography, accessibility and privacy.
Optional: build a clickable prototype (Figma/XD) demonstrating navigation and interactions.
Address data privacy and consent; explain how users control data sharing and notifications.
If you conduct user research or testing, summarise findings and how they informed your design.
Max File Size: 50 MB
Accepted Submission Types
Your PDF may include any combination of:
Design files: Figma/XD prototypes, wireframe images, style guides.
Documentation: PDF explaining user flows, personas, accessibility considerations.
This practice problem is suitable for:
Judging Criteria
User‑centric design (25%) – How well the app addresses needs of patients, caregivers, and clinicians, including clarity of dashboards.
Information clarity (15%) – Effectiveness of data visualization (heart rate, sleep, activity) and ability to derive insights quickly.
Accessibility & inclusivity (15%) – Compliance with accessibility guidelines (color contrast, font sizes, language simplicity).
Privacy & compliance (10%) – Consideration of data consent, encryption, and compliance with relevant regulations.
Visual aesthetics & style (10%) – Consistency in design elements, use of color, typography, and overall appeal.
Innovation (10%) – Unique features such as predictive alerts, gamification elements, or integration with healthcare providers.
Design rationale & documentation (15%) – Clear explanation of choices, personas, journey maps, and validation through any user testing.
