Users were intimidated by long blockchain addresses, frequently made mistakes when entering them, and did not trust the process. The UX felt overly technical and unapproachable. Most beginners were dropping out before initiating their first crypto transfer. This produced a clear adoption bottleneck and limited the bank’s ability to scale its crypto offering.
I redesigned the crypto transfer experience by replacing blockchain addresses with a simple, familiar email/ID flow, making the product instantly understandable to beginners and removing the main barrier to adoption. I validated the entire journey through high-fidelity prototypes, which led to a 30% registration conversion during testing and confirmed the viability of a “crypto that feels like normal money transfer” model.
Usability tests demonstrated 30% conversion to platform registration, a very high number for first-time crypto products in regulated environments.
Users were intimidated by long blockchain addresses, frequently made mistakes when entering them, and did not trust the process.
The UX felt overly technical and unapproachable. Most beginners were dropping out before initiating their first crypto transfer.
This produced a clear adoption bottleneck and limited the bank’s ability to scale its crypto offering.
The bank wanted to launch a crypto-transfer experience that could be re-used by external partners as a white-label product.
A simpler, safer flow would increase transaction volume, reduce support costs, and open new commission revenue streams.
Crypto adoption was strategically important — and the existing friction prevented growth.
With rapid change in money transfers, customers demanded higher security.I helped the company improve time-to-market performance and supported the go-to-market strategy.
Users were intimidated by long blockchain addresses, frequently made mistakes when entering them, and did not trust the process. The UX felt overly technical and unapproachable. Most beginners were dropping out before initiating their first crypto transfer. This produced a clear adoption bottleneck and limited the bank’s ability to scale its crypto offering.
Loses in Crypto in 2024
Address accuracy anxiety
Address manipulation concern
Email/ID → automatic resolution → select crypto → enter amount → confirm → send
Design decisions were shaped by strict compliance requirements and anti-fraud limitations:
Building trust while hiding technical complexity was the main challenge.
I designed a white-label WebApp that lets users send and receive crypto using only an email or Alfa-ID, removing blockchain addresses entirely to the back-end.
I redesigned the whole flow to feel like a normal bank transfer:
enter email → system resolves the recipient → choose the coin → confirm → send.
This removed the complexity and shifted the mental model from ‘crypto’ to ‘simple money transfer’.
Because emails are easier for fraud than blockchain addresses, I also designed a strong confirmation layer with clear risk messaging and identity validation.
I built modular white-label components so the same product could be used by partners. In usability testing we achieved 30% conversion to registration, which is extremely high for a first-time crypto product.
The project helped the bank identify strategic growth areas and informed its crypto roadmap through 2028.
User research and prototype testing revealed several behavioural truths:
I redesigned the crypto transfer experience by replacing blockchain addresses with a simple, familiar email/ID flow, making the product instantly understandable to beginners and removing the main barrier to adoption. I validated the entire journey through high-fidelity prototypes, which led to a 30% registration conversion during testing and confirmed the viability of a “crypto that feels like normal money transfer” model.
Demand for simplified crypto transfers
Sign-Up conversion during tests
Task completion rate (early validation)
This project was about learning before scaling. By stripping crypto transfers down to a familiar mental model and validating behaviour early, we reduced both product and regulatory risk. The strongest outcome wasn’t growth metrics, but clarity: understanding where users trust the system, where they hesitate, and what must be designed before investing further.
