Analytics for digital assets
Finding product market fit in the digital asset world
In these experimental projects, I worked with the PM to define early requirements and create dashboards and prototypes for evaluating digital asset risk. Because there was no existing precedent or standard for evaluating stablecoin risk, we brainstormed various metrics to include in the designs, like depeg risk, market risk, liquidity risk, etc. Finding product market fit is a long and challenging process, and even though the business sunsetted our experiments before we could reach our second iteration, I gained valuable experience in the digital asset management industry.
Duration
Aug 2023 - Jan 2024 (6 months)
Team
1 PM, 1 designer, 6 devs
Where did I look to for inspiration?
I conducted a design competitive analysis of well-known trading tools in the fintech industry as well as consumer designs from other creatives to obtain a balance of inspiration from established tools and forward looking creations. This included sourcing content on dribbble, from the Bloomberg Terminal, Etrade, and other products.
I proposed rough sketches to the PM to focus the discussion on content and requirements, and we were able to decide on what metrics we thought investors would find important.
Where did I start?
What did I learn?
Throughout the entire process of experimentation, I needed to normalize the idea of failure, especially within an Innovation Business Department. Failure is a natural part of innovation, creation, and design, and not every project will result in a resounding success backed with hard metrics. However, the caveat here is that without being able to quantify our efforts into metrics that leadership could see, they could not justify spending more company resources on these side experiments, which was why these projects were ultimately sunsetted. How do you convince leadership to invest in a project that needs a leap of faith to begin with? I’m still working on that.