Toward the end of 2017, interest in cryptocurrency in Canada was growing. There were risks, challenges, and huge barriers to entry which left many of those interested on the sidelines. At Mogo (a customer focused online financial services company) we were exploring new ways to bring value to our platform. We investigated the interest among our MogoMembers, feasibility, challenges involved in a cryptocurrency product. After deliberation, we were set on introducing a cryptocurrency service to our portfolio.
Throughout the 3 month MVP project, and during the ongoing design and development of MogoCrypto post launch, the members of the Mogo UX team were invaluable and greatly appreciated. Not only did they provide invaluable feedback and guidance, when the workload grew they allowed me to delegate flows and screen sequences to help push the design forward. Every screen was meticulously crafted, reviewed, iterated upon — from copy, iconography, animations, structure, to revising the shades of colour to ensure it was visually rich and appealing.
iA was key to identifying flows and behaviours on the Mogo platform. Early in the process many of the key flows and technical affordances were fleshed out through charts like this.
With user panels and tools like Sketch Cloud and Proto.io we were able to rapidly test many, many iterations of the dashboard and various flows!
This is a very early version of the MogoCrypto interface! On this foundation we were able to more readily test the experience with very early access members and internal team members.
We introduced standards like side panels on web to help more closely maintain parity with iOS and Android. Through testing we found it helped foster a sense of ease and speed in the web UI as it enabled MogoMembers to remain on the dashboard while executing other actions like buying and selling their bitcoin.
MogoCrypto successfully went from alpha, to beta invite-only, to launch! We continued to research, iterate, analyze, and test to improve based on feedback, testing, and analysis. With our ongoing roadmap iteration, consistent user testing, regularly A/B testing theories, and evolution of our own knowledge and skill set we made continuous wins across key metrics while improving the user experience. These included: