Veriff’s face identification relied on a manual selfie capture process, which resulted in low-quality images that hurt conversion and automation rates.

We aimed to implement automatic image capture, enabling a touch-free experience and reducing image quality issues, while meeting the company’s technical requirements and business goals.

I led the design of Veriff’s first automated selfie flow, from competitor research to ideation, prototyping and usability testing. After testing with 9 users, I iterated on both UI and copy to ensure clarity, accessibility and trust.

The final design is now the default selfie capture method, confirming the value of a user-tested, automated flow.