Mostyn Griffith is a multidisciplinary designer. He is interested in social equity, inclusive business, and the use of design to bridge the divide between enterprise and cultural production.

In 2018, he graduated from the Rhode Island School of Design with a BFA in Graphic Design and a Minor in Computation Technology & Culture. He is currently an Experiential Designer at HUSH Studios in New York City. He is also 1/5 of the design studio Merl.

You can contact him via email by clicking here.You can also find him on Instagram or even on that other website known as LinkedIn. Otherwise here is his resumé.


Worked with: Facebook, Uber, LinkedIn, WeWork, Evan Roth, Zenni, IHS Markit, Pearson, Sigma Surgical, Finnest, and The People's Lobby.

Shuffle

Spring 2017

Interface • Identity

Shuffle

Spring 2017

Interface • Identity

Shuffle is the ultimate dating app. Since nearly every dating site or app uses only a few different criteria to delineate themselves from others, we decided that online dating could be expanded to a network in which users could create their own dating channels.

Done in collaboration with Ethan Anderson, Phoebe Morrison, and Morgan Cheatham for Chris Novello's Computer Utopias course.

ENDLESS POSSIBILITIES


We found that every dating app or website differs by only a few arbitrary parameters such as who messages first, how you match, and who you’re looking for. With Shuffle, users can browse a diverse pool of dating channels with the ease of a swipe.

EASY CUSTOMIZATION


Currently if your dating preferences don’t fall into the predefined categories on existing apps, then you’re out of luck. Shuffle seeks to create a dating platform for users looking to find others that share their idiosyncratic interests.


Much like how users on reddit can create their own subreddits, users on Shuffle can create their own Dating-apps, or Dapps for short. When making a Dapp, users can create specific parameters, tags, and media inputs for others to populate.

INTUITIVE SELECTION


Once within a Dapp, the user now has access to a pool of individuals that share their unique interests.