Legible
The Legible labs team believes learning a language should be both effective and addictive. Legible is a Twitter client designed for aspiring polyglots, powered by a built-in dictionary. It leverages spaced repetition, turning any interesting Tweet into a flashcard that aids memorization. It also uses machine learning to recommend tweets based on users’ tastes and fluency level.
I led the full spectrum of design efforts at Legible, working closely with the founder and a full stack developer. I helped the team with user discovery, ideating, testing prototypes, executing and design auditing.
From the archives: making a dictionary for social content.
Here is an example of an async brainstorming of the Legible dictionary feature: I was tasked to design a dictionary that makes looking up a word while cruising on Twitter at once:
frictionless;
full-featured but uncluttered;
clean and delightful.
I researched an array of analogue and digital dictionary products for inspiration; In later iterations, I synthesized findings from user research to fine-tune the Legible experience.
Check out an example of how we brainstormed the dictionary feature
Final design for the Legible dictionary
More features I worked on
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The Legible team takes pride in “flashcards in context”: the fun content of the Tweet is what makes these cards a joy to review.
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After the first round of user research, the team decided to build an in-line quiz interface based on the tweet to encourage interaction and break up passive content consumption.
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To tackle the cold-start problem, the team hand-picked a collection of accounts that regularly produce high quality content of wide ranging topics. We wanted the users to feel like as if they were at the “staff picks” section at their favorite local bookstore with a hand-written note by the loving staff.
