AI powered investing

Three questions to the project team

What was the particular challenge of the project from a UX point of view?
The core UX challenge of this AI investing project was transforming complex, real-time crypto data into a clear, trustworthy, and actionable user experience. Users often felt overwhelmed, skeptical of AI, and unsure when to act. Early designs surfaced raw scores and charts, which users found confusing. Through testing, we refined a visual language using simplified scorecards, hexagon diagrams, and natural language summaries. This made insights feel both intuitive and credible. Progressive disclosure supported both beginners and advanced users. A calm UI, supportive tone, and transparent rationale built trust—transforming intimidating data into confident decisions.

What was your personal highlight in the development process? Was there an aha!-moment, was there a low point?
The project's highlight was achieving true simplicity. After many iterations, a user testing our simplified prototype said, “This is the first time I actually understand what’s going on with a token.” That moment was powerful—especially after the low point of our initial design: a visually polished but data-heavy dashboard that caused user confusion and decision fatigue. It was a hard realization, but it pushed us to simplify relentlessly and let AI surface only what truly mattered.

Where do you see yourself and the project in the next five years?
In five years, I see this project evolving into a trusted financial companion for millions of users, expanding beyond crypto into stocks, ETFs, and other assets, while still delivering personalized, AI-driven insights. I see myself leading design efforts that continue to bridge advanced technology and everyday users, shaping tools that make financial empowerment truly accessible. I hope to keep pushing the boundaries of how AI can support, not replace human judgment in high-stakes, emotionally complex domains like investing.