Shopify- 24 Hour Hackathon
A 24-hour collaborative tech sprint challenging BrainStation students from different cohorts to work together to create digital solutions for BrainStation's Industry Partner- Shopify. The team project was awarded with second place by Shopify.
Market Research, UX Research, UX/UI Design,
Help Shopify better leverage its Ecosystem to make entrepreneurship more accessible by lowering the barrier to entrepreneurship in entirely new regions, demographic and business sectors.
Figma, Adobe Illustrator, InVision
Global Online Art Market Sales, 2021
The Online Art Market
Most common fine art medium sold online
15% Share of art buyers preferring to purchase art online
Digital art purchased with NFTs projected to grow
Has 4.36M active sellers, who generated $357M in revenue from Art & Collectibles
Sotheby’s - $800M
Christie’s - $445M
87% of art buyers used Instagram to find new artists
The Problem Space
Artists find it hard to sell their art on Shopify as it tends to be complex to start; especially for those who just want to sell their work on a marketplace (like Etsy).
The setup process is not as inclusive to the artists, who typically shy away from features that feel too commercial.
With an overwhelming marketing tab, there aren’t features that help guide the user find what they need.
How Might We Question
How might we help artists navigate the Shopify EcoSystem’s Marketing Apps so they can successfully market and sell their artwork?
User Proto Persona
Task Flow Diagram
Our sketches explored procedural methods to show our marketing assistant Shopy. The finalized solution sketches are a questionnaire with 5 questions to help entrepreneurs arrive at a list of app suggestions that match their needs and goals.
Mid-fi greyscale wireframes are created to layout general contents that we plan to implement to our prototype.
A 24-hour hackathon with group members from different coherts can be complicated. Our group started to plan a time schedule as the first thing in the meeting. We completed brainstorming and research together with the data science student leading the session. Then me and the other UX Designer estimated the amount of time that we need to complete our part and set a hand-off meeting to the web development team.
The imperssing project result cannot be carried out without the support and cooperation of all team members. Team members empathized and were inclusive with everyone's opinions and ideas. We also learned to speak other's technical language so that the everyone is on the same page.