To understand the problem context in the market, we visited three galleries in New York and interviewed artists, gallery managers, and an art dealer as our stakeholders. Also, we conducted 7-in-depth interviews with different types of millennials, from beginner investors to professional investors, to identify their thoughts and needs in art investment.
We could find more pain points and opportunities from non-wealthy people than wealthy investors in the art investment market through our research. Based on our insights, we embodied our initial challenge by narrowing down just ‘Millennial- investors’ to ‘Millennial investors who are not wealthy.’
How might we lower the entry barrier of art investment for ordinary millennial investors who are not wealthy?
Onboarding
Discovering user taste
Pallete gathers data of the user’s art taste by allowing users to swipe images of various arts during the onboarding process.
Explore
Recommendation for
artwork and new artists
Using a data algorithm, users can find affordable artworks that suit their tastes from new artists.
Explore
Easy checking the value of artists
Our own scoring system, Pallete score allows users to look over the artist’s growth potential.
Pallete score will be based on
- Award-winning careers
- Evaluation by art experts
- The number of Google searches
- The number of Social media followers
Sale
Reselling artworks
to make an investment return
Users can resell their artworks from collections and manage the resale process on the market.
My Pallete
Tracking the status
of investment value
Pallete informs market signals of the artworks that the user currently has.It allows them to resell them on the market.
Tier system
Tier system for users allows users to
motivate to transact actively in the app