Financial / Identity Verification, Mitek Systems

MIDENTITY Mobile App MVP Development

The mIDentity mobile app is a first-stage mobile wallet to allow users to store identity cards on their mobile devices for easy validation by retailers and government agencies. 1:1 Ratio provided digital strategy, feature ideation and a full compliment of user experience design services to build an MVP to attract additional investments.

The project was completed under an extremely tight timeframe (under 3 months) while still employing Lean UX techniques to ensure the product shipped was in-line with stakeholders across multiple offices and cities. Extensive feature ideation, user persona development and experience- mapping brought forth ideas that resulted in an app that universally satisfied test audiences brought in for usability interviews.



Digital Strategies to Ensure User Adoption

Through personal development, feature ideation and competitive site audits, our UX strategy team worked through tasks that ensured that app features were being developed to best serve the target user base.




1:1 Ratio developed full app wireframes and tested them with small interview groups to ensure features were of maximum benefit and usability.


Designed for Frictionless Adoption

The app was designed to allow for one-click account creation, so users could get to capturing their identity and membership/loyalty cards immediately. GPS Geofencing was a cornerstone design of the app so that when users are at a particular location the dynamic home screen shows only those cards that are relevant to present to a validator for authentication.



Selecting between grouped or family IDs is designed to be effortless. Users can single-tap to switch between a front and back view of the card.


Usability Interviews for Targeted Feature Refinement

Throughout the UX design process, 1:1 Ratio conducted multiple rounds of usability interviews using a design prototype with small test groups to determine if features in the product backlog were usable. Key learnings were fed back into the agile process, refined and re-tested until favorably received by the test users. The end result was an MVP that immediately attracted seed funding, and is currently being fully developed for release later this year.