Gini offers a highly personalized approach to health, nutrition, and wellness. By combining genetic data, lifestyle inputs, and more than 200 additional data points, Gini creates dynamic, vegan, bioavailable smart multivitamins that adapt to a user’s changing needs. The platform also provides gene-adjusted nutrition targets, a personalized nutrition label, lifestyle tracking, and an AI health assistant so people can take confident, daily control of their health.

Gini already had a strong core service, yet it needed a dedicated Analysis Screen that could bring together health reports, personalized recommendations, and actionable plans in one coherent place. The brief extended beyond a single screen into a broader experience that allowed users to track calories, weight, BMI, stress, and anxiety, consult a doctor, and join health programs without friction. At the same time, the onboarding journey was longer than ideal, and the team wanted to make everyday tracking of food, weight, medicines, and consultations feel simple and habitual.

We began by defining a clear information architecture that aligned features with product vision and clarified how users move across the experience. Next, we mapped flows for new and existing users and for doctors, ensuring that everything from onboarding to appointment booking felt intuitive.

The work progressed from competitor research to sitemap and wireframes, into a refined UI and design system. We validated the experience through internal live testing to confirm clarity and cohesion.

We designed the Analysis hub to unify insights and actions so users don’t have to hunt across sections. Navigation and content hierarchy were refined so logging, reviewing insights, connecting with a doctor, and exploring programs are always close at hand.

We completed end-to-end flows for onboarding, consultations, booking and payment, and shopping—reducing cognitive load across the journey.

The design process focused on transforming health data into an experience that feels both structured and engaging. The Dashboard served as a central hub for logging health details, tracking calories, medicines, exercise, and weight, while also enabling connections with doctors and providing personalized health tips.

The Log Food feature introduced AI-powered photo logging, turning images into calorie estimates and offering smart food recommendations.

With My Routine, the system automatically built a personalized daily plan from lifestyle and medication inputs, while still allowing full customization and tracking.


Finally, the Gini AI Assistant became the standout feature, guiding users with reminders, conversational answers, and actionable health plans. These combined elements created a seamless and motivating daily companion.

We ran internal testing prior to launch to validate flow clarity, integration points, and micro-interactions. Feedback helped us tighten copy, confirm task success paths, and polish empty states.

Early usage indicated that the Gini AI Assistant resonated strongly with users, who preferred getting insights and logging through conversation rather than manual entry. This behaviour shaped our recommendations for future iterations that emphasize assistant-led guidance and low-friction logging.