Cufy Teams
Research to help you find love.
At Cufy, we believe that meaningful relationships are built on more than just looks. That's why we've designed our platform around deep compatibility matching.
Our algorithm considers 47 different factors—from your morning routine to your weekend plans, from your relationship goals to your communication style. We study how college students connect, what makes relationships last, and what matters most to you.
The result? Matches that actually make sense. Conversations that flow naturally. Connections that have real potential.
The Mission
Getting dating down to a science
When we say Cufy is designed to be deleted, we mean it. The Cufy Teams work on understanding what makes a Cufy match successful, so they can make your next first date your last first date.

What the team researches.
The Cufy Teams study the dating journeys of Cufy daters from download to date to deletion, so they can fine-tune all of the elements that make a difference.
First Impressions
The Cufy Teams study what makes for successful dating profiles, analyzing everything from photo themes to what a dater's prompt answers communicates about their values.
Better Matches
Cufy is in the business of better matches, not just more matches. The Teams use your likes to learn your type so Cufy can personalize the kinds of people you see on the app.
Building Connections
When the chemistry is right, it can feel like magic—but there's science to it too. Cufy Teams research how messaging and audio or video calling can help you know if you're a good match, so you can go on in-person dates that go beyond being good on paper.
Dating Burnout
Dating burnout is real. Instead of leaving you in a delete-reinstall loop, the Cufy Teams put time into understanding what leads to burnout and how to prevent it.

Research Methods
The Lab
The Cufy Teams bridge relationship, emotion, and behavioral science with user experience research, business intelligence analytics, and data science to unlock insights about love and dating.
Existing Scientific Literature
Cufy User Surveys
Cause-and-effect Research
Behavioral Analysis
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