Elann.AI App

SMART VALOR

AI-powered crypto research platform delivering real-time insights, market intelligence, and personalized content for crypto-native users.

Role
Senior Product Designer

Timeline
12-16 months

Platforms
iOS · Android

Responsibilities
-
Product Strategy
- UX
- UI
- Design System
- Prototyping

The challenge

Crypto users consume large amounts of fragmented information across multiple platforms, making research time-consuming and difficult to navigate.

The challenge was creating a mobile experience capable of simplifying complex market data while serving different types of users - from casual crypto enthusiasts to highly engaged traders.

The product needed to transform noisy information into fast, actionable insights while maintaining clarity and accessibility.

My role

I led the end-to-end product design process, from research and early concepts to interface design and design systems.

I developed user personas and journey mapping, conducted research and interviews, created user flows and information architecture, and refined the experience through multiple design iterations.

I also built high-fidelity interactive prototypes in Figma (+Framer) and collaborated closely with stakeholders and engineers throughout the product lifecycle.

The solution

ELANN.AI combines AI-powered content and market intelligence into one unified mobile experience.

Key features included:
- Personalized AI-driven news feeds
- Real-time crypto reports and analytics
- Text-to-speech for hands-free content consumption
- Multi-language support
- Interactive market insights and data visualization
- Personalized reports and asset tracking

Everything was designed around speed, clarity, and reducing cognitive load.

Outcome

The result was an AI-powered crypto platform that helped users discover insights faster and engage more consistently with market content.

Impact

+50,000 app downloads
+25% increase in daily active users
+20% improvement in user satisfaction
+15% increase in customer satisfaction through feedback-driven iterations, user interviews, and in-app surveys
Reduced design iteration time through a scalable design system

The product successfully transformed fragmented crypto research into a more intuitive and accessible experience.