UX/UI Designer responsibilities included:

Competitive analysis and UX strategy

Information architecture and user flow

Low-fidelity and high-fidelity wireframes

Visual design and responsive layouts

Prototyping and interaction design

Preparation of case study materials

Synovia AI is a Health-Tech start-up developing AI-based tools to support clinical decision-making in modern medical institutions across Europe and the United States.

The goal of this project was to design a clear, credible, and conversion-focused landing page that explains a complex medical AI product in a way that is understandable, trustworthy, and human-cantered. The landing page was designed for desktop, tablet, and mobile, with a clickable prototype to validate user flow and content hierarchy.

The main business objectives of the project were:

Clearly explain what Synovia AI does within the first seconds of user interaction

Build trust with medical professionals and decision-makers

Present AI technology as a support tool, not a replacement for doctors

Encourage users to book a demo or request early access

The website needed to balance clinical credibility with a light, modern visual tone suitable for a premium Health-Tech brand

Medical institutions and clinics

Clinical directors and innovation managers

Healthcare professionals involved in diagnostics and research

Users are highly informed, time-constrained, and sensitive to clarity, credibility, and data security

I conducted a competitive analysis of Health-Tech and AI medical platforms to identify common patterns and gaps in communication. Key insights:

Many AI medical websites use heavy technical language that increases cognitive load

Visual styles often feel cold or overly technical, reducing emotional trust

Clear value propositions and benefits are frequently hidden below the fold

Based on these insights, the structure and content were designed to prioritize clarity, early trust signals, and a clear decision path

The landing page was structured around a simple decision flow: Above the fold:

Clear headline explaining the core value

Supporting subline with clinical context

Primary call to action

Visual combining medical professionals and subtle data elements

Trust signals (logos and credibility markers)

How the product works (3-step explanation)

Key benefits with measurable outcomes

Testimonials from medical professionals

Final call to action

This structure reduces friction and helps users understand the product without scrolling fatigue

Key design principles applied:

High content clarity with short, scannable sections

Generous white space to reduce cognitive load

Soft colour palette (mint, blue, light grey) to build trust

Sans-serif typography for readability across devices

Visual balance between human photography and abstract data elements

Micro-interactions and subtle animations were added to guide attention without distracting from the content. Responsive Design - the layout was designed for desktop first, then adapted for tablet and mobile. 
 On smaller screens:

Content hierarchy was simplified

CTAs were made more prominent

Sections were reordered to maintain logical flow

This ensured consistent understanding and usability across devices

A clickable prototype was created in Figma to test:

Navigation flow

CTA placement

Content hierarchy

Section transitions

The prototype allowed early validation of user paths before final delivery. 


The final result is a clear, professional landing page that:

Explains a complex AI medical product in simple terms

Builds trust with healthcare decision-makers

Supports business goals through focused calls to action. Presents technology as a supportive, human-centred solution

The project is ready to be used as a foundation for further development and marketing activities

Figma (design, prototyping, responsive layouts)

FigJam (research and information architecture)