Norvana - advancing the future of
health assistance with AI
Norvana is a revolutionary global AI healthcare SuperApp designed to empower users with advanced technology. It offers continuous health monitoring, predictive analytics, and tailored healthcare solutions for truly personalised care.
Project Challenge
The client’s ambition was to build a health tracker that brings everyday tracking, AI guidance, and GLP-1 support into one clear, personal experience.
With so many similar apps and familiar dashboards, Norvana needed a recognisable identity that would stand out while keeping the experience simple.
We explored colour, motion, and imagery to give Norvana a distinctive character, while keeping health information clear and approachable.
This led us to one design idea: a spectrum reflecting the different sides of a person’s health, brought together in a single visual language. And we call it…
PRISM
Prism gives Norvana its distinctive visual language. In photography, it breaks light into soft colour shifts; in the interface, the same effect adds depth and connects the experience.
Prism is one part of the visual system. Aura is the app’s main character: a living presence that follows your daily rhythm. Its colours shift from the warmth of sunrise to cool daylight and a softer evening glow. A white centre and two layers of colour gently breathe together, giving each moment its own feeling.
- Sunrise
- Early light
- Noonday sun
- Golden hour
- Sunset
Regular
Prism + Aura
User testings and rapid
prototyping using AI
A new workflow framework was used in this project, allowing ideation, testing, and prototyping within just five working days. As a result, new ideas were discussed at the start of each week.
To make the loop extremely fast, AI was used to generate real-time prototypes. This completely transformed the process, replacing static Figma rectangles with an interactive, living experience.
5 days
The new world of AI no-code solutions introduced many new insights. Throughout this framework, various apps were tested, including Cursor, Lovable, Replit, Vercel V0, and others, pushing the boundaries of rapid prototyping and development.
This provided a deeper understanding of coding and app development, as it required thinking beyond design-considering databases, login functionalities, and other critical aspects of building living products from scratch.
User testing results
Several crucial insights were gained, but the most important lesson was clear- not every cool feature that can be created is actually wanted by users. While innovation is exciting, the risk of overloading a product with seemingly valuable functionalities that don’t align with actual user needs was recognized.
What truly matters is designing with intention-focusing on what enhances the user experience rather than what simply adds complexity. Testing reinforced the importance of prioritization, ensuring that every feature serves a clear purpose.
A
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AI prompt training
Prompt training was crucial in refining how Norvana interacts with users. Different prompt structures were iterated on, variations were tested, and responses were analyzed to fine-tune the system, resulting in more context-aware and engaging outputs.
Training the prompts not only improved response quality but also helped shape a more intuitive and human-like AI experience within the product.
Marketing support
Support was given to the marketing team by creating materials for investors and public conferences, helping maintain positive momentum for the startup. Clear and compelling assets were developed to showcase the app’s vision and progress.
Flyers and social media posts were prepared for Instagram, LinkedIn, and Facebook to boost visibility. These materials aligned with the brand identity, ensuring Norvana was effectively presented to investors and a wider audience.
Takeways
AI played a crucial role in optimizing workflows, from refining prompt training for more engaging interactions to leveraging no-code solutions for deeper development insights. Real-time AI-generated prototypes accelerated the design loop, shifting the mindset from static mockups to interactive experiences, ultimately revolutionizing the process.
AI will continue to transform product design and team collaborative, making experiences more adaptive and intelligent. Future design systems will automate usability testing, real-time iteration, and predictive UX enhancements, allowing designers to focus on strategy rather than manual adjustments.
*GLP - is medication that helps to regulate insulin level and is used for a weight loss.
Unified AI-powered ecosystem, it seamlessly connects users, data, and medical insights to transform how people experience personal wellness.
Outcome 01
AI-oriented workflow
In recent projects, I’ve adopted an AI-oriented workflow to streamline design processes and accelerate iteration. From generating real-time prototypes to refining UX flows through AI-driven user insights, this approach has allowed for faster decision-making and more dynamic exploration.
Outcome 02
Custom AI-agents
As part of exploring AI-integrated product design, I’ve been working with custom AI agents tailored to specific user needs and workflows. These agents are designed to handle targeted tasks - like surfacing personalized insights, or automating repetitive actions.
