Ongoing project
Enhancing usability for feedback by using machine learning services
Unifying design language with web & new brand concept
Lead UX/UI design
iOS, Android app
Figma, Protopie,
Userzoom, UsabilityHub,
Power BI
1. Update modules
2. Flow & logic revamp
Jumio identity verification is the process of ensuring that the person on the ID is the same person presented in front of the screen.
The process is driven by face-based biometrics, compliant machine learning, and artificial intelligence.
However, previous UIs had not fully utilized this machine learning feedback and piled up tons of usability issues.
1. Selected country was not clearly visible
2. ID format selector was not scalable to show various ID formats
The usage rates were low of 2% because...
1. User had to swipe up to see the help menu
2. Content was not useful
3. Hidden fallback button for 4% of users who could not use auto-capturing due to unsupported ID format
No visual guidance of how close the barcode should be.
Users tended to frame the whole ID, even though they had to move closers to have the barcode readable.
1. The mobile SDK was different from the web design
2. UI was not reflective of automation services
"It looks like I need to align my ID to this frame"
"Is it the same screen? Ah it's back okay"