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Crafting more personal & meaningful conversations based on data-mining.

 
 

Role

Design Lead


Studio

Fantasy Interactive

Online dating can be overwhelming. There is less time being put into crafting meaningful conversations. To solve this problem, I worked with OkCupid to find new playful ways of encouraging people to converse better leading to more in-person dates. Working closely with OkCupid's Engineering Team, we segmented three different user scenarios based on profile data—low, medium and high. Using profile data mining, the app would use machine learning to auto-generate customizable "icebreakers" in playful ways.

 
 
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Looking at the Data

Based on 27 on-boarding questions, OkCupid created a list of “Flavors”, or personality types programmed and auto-suggested for matching.

Understanding how the data led up to these flavors of people helped to create the perimeters and categories for matching screen questions.

This led to the design of “ice-breakers”, or ways to create fun introductions between strangers using algorithms based on the amount of data from questions a user filled in.

 
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Process

User Experience (UX) Sketching

Information Architecture Mapping - Flows

Rapid Prototypes with Engineering Team

UI Visual Design and Branding

User Testing

 
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Data-Driven Conversation Starters

 
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Results

By creating more unique ways to message, this lead to more conversations, which statistically should’ve led to more in-person dates among users.