Designed the end-to-end journey for NFT trading experiences while removing complex technical blockchain barriers.
Blockchain, Accessibility AA Compliance, System Design
Product Design Lead
Responsive Web
Consumer
SparklesNFT is an open marketplace to trade NFTs on the Flare Network. The platform allows users to easily connect their digital wallets and make transactions securely, thanks to the trustless layer-one blockchain technology. With SparklesNFT, users can trade NFTs seamlessly and with confidence.
The confirmations screens in an NFT trading flow are extremely sensitive. It was important to create clear and user-friendly screens to avoid punishing decisions made by accident or without awareness. That's why I designed these screens to show all open fees in clear, easy-to-understand language that is in compliance with our legal agreements. I also made sure to clearly label what users will receive in plain, simple terms that anyone can understand.
I believe it is important to remove any barriers when it comes to blockchain technology, and this is one of the areas in the product where I have put in extra effort to make the experience as user-friendly as possible.
To create an MVP for the marketplace, I first used heuristics from existing marketplaces to generate a set of hypotheses. I then used this MVP to gather feedback through a ticketing system and in AMA (Ask Me Anything) sessions with our community.
By incorporating this feedback, I was able to identify a clear set of focus areas for the beta launch of the marketplace. This iterative approach allowed me to gather valuable user insights and make informed decisions about the design and development of the marketplace.
As a startup NFT marketplace, I knew that it was important to create designs that would showcase the NFT content in the best possible way. I focused on creating easy-to-use filtering methods and opted for large gallery thumbnails to encourage users to take their time and appreciate the artwork on display.
By using large thumbnails, the marketplace can stand out from more mature platforms that focus on high volume instead of the quality of the artwork. Since this new marketplace had less volume, it was more beneficial to celebrate the rich artwork and make it the focal point of the design.
I wanted to make it easy for users to evaluate the value of NFT products, so I began by conducting a qualitative user study to understand the nuances of the decision-making process. Based on this research, I created a value/feasibility scale that takes into account our backend services and what we could provide to users.
I also cross-referenced this information with data from competitor marketplaces to identify the most important and commonly expected datasets. These were then prominently displayed on every collection page, making it easy for users to access and evaluate the value of NFTs before making a trading decision.
Advanced traders spend plenty of time analysing trading data and project news. This is a fundamental need. In order to fulfil this market demand, I designed a minimal data table which showed all the relevant information needed to be meaningful all in one place.
I employed much of the qualitative research methods used to determine trading data for a single NFT collection.
I designed a notification system for the Novastack AI platform to help users stay informed about the latest transactions that they are interested in. The system is based on items that the users have engaged in trading activity with, as well as items that they have "liked" or accounts that they have followed. This feature was designed to help users understand the trading norms around the type of NFTs they may be interested in, and to drive passive engagement on the platform.
This was a way to drive passive engagement as there was no social posting aspect contributing to an overload of notifications.