Pivio

Project overview

Pivio is a digital health platform designed to support long-term lifestyle improvement through structured programs grounded in clinical research. The platform combines guided activities, coaching support, and progress tracking to help users make sustainable health changes over time.

The work focused on UX & UI design for digital health applications, turning complex behavioural science and health data into a calm, supportive experience. The aim was to help users clearly understand their current state, the next best action, and how progress is measured without creating pressure or confusion.

Role UX & Product Design
Team Product, engineering, clinical & health experts
Responsibility Digital health UX strategy, research, IA, interaction design, prototyping, testing, design system foundations
Timeline Discovery, MVP, iterative delivery


Impact

Stronger engagement

Clear onboarding and well-defined task flows supported consistent participation in health programs.

Smoother journeys

Assessments, educational content, and coaching interactions were easier to navigate.

Lower cognitive effort

Health data and behavioural concepts were presented in digestible, actionable steps.

Increased confidence

Progress indicators helped users interpret their health data with greater clarity.

Meaningful feedback

Timely feedback reinforced positive behaviour and encouraged continuation.

Flexible structure

Modular patterns supported different programs, goals, and user needs.

Clear communication

Plain language and visual hierarchy reduced hesitation and misunderstanding.

Future-ready design

The platform was built to scale across additional programs and audiences.


Mission

The mission was to design a digital health experience that feels reassuring, credible, and easy to follow. By reducing complexity and avoiding medical jargon, the interface helps users focus on steady progress rather than navigating systems.

Key challenges

Clinical complexity
Translating research-driven health guidance into usable digital flows.
Sustained behaviour change
Supporting motivation over weeks and months.
Different engagement modes
Designing for both independent users and coached journeys.
Health data interpretation
Presenting metrics without causing anxiety or overload.
Trust and sensitivity
Designing responsibly within personal health contexts.

Objectives

  • Create a clear and welcoming onboarding experience
  • Reduce friction in daily health-related tasks
  • Encourage long-term participation and habit formation
  • Support multiple health programs within one platform
  • Improve clarity, confidence, and motivation

Design process

The team followed a research-led, iterative approach commonly used in digital health UX design. Journeys were mapped to surface friction, followed by rapid experimentation and validation before moving into detailed interface design.

Research & insights

User interviews, product workshops, and input from health specialists revealed where understanding, motivation, and confidence tended to break down.

Ideation & wireframes

Low-fidelity flows explored structure, content sequencing, and hierarchy, enabling fast alignment with the product team.

Hi-fi designs & prototyping

High-fidelity designs focused on tone, clarity, and accessibility, supported by interactive prototypes for validation.

Testing

Usability testing refined interactions and ensured users could easily understand next steps and progress.


Accessibility

Accessibility decisions prioritised readability, contrast, and reducing cognitive strain during key moments.

Design system

A modular design system ensured consistency across onboarding, programs, progress tracking, and coaching experiences.

Critical insights

Designing digital health products for behaviour change requires patience and restraint. Clear structure, empathetic tone, and actionable feedback help users stay engaged without feeling overwhelmed.

*This case study describes experience gained by team members across prior roles and engagements.