Research to help you find love.
When we say Tindly is designed to be deleted, we mean it. Labs is where AI meets relationship science.
The Focus
Getting dating down to a science.
The Labs team combines AI and relationship science to understand what makes a Tindly match successful, so they can make your next first date your last first date.
Research Areas
What the team researches.
We study the dating journey from download to date to deletion — fine-tuning every element that matters.
First Impressions
What makes profiles successful. Photo themes, prompt answers, and the values they communicate.
Better Matches
Using AI to learn your type from your likes and behavior. Personalizing who you see — not just showing more people.
Building Connections
How messaging and video calling help you assess chemistry before meeting in person.
Dating Burnout
What causes the delete-reinstall cycle and how to design against it.
You
What works for one person won't work for everyone. AI-driven custom insights for your breakthrough moment.
Key Findings
Numbers that changed the product.
The magic number. More free likes made matches worse. Fewer made people pay. Eight is optimal.
of users who match through Most Compatible go on a second date.
Specific likes (photo/prompt) generate 3x more responses than generic profile likes.
Reduction in burnout when we introduced pacing features and intent signals.
The Team
Meet your experts.
A multidisciplinary team answering the biggest questions about dating.
Dr. Sarah Chen
Director of Research
Relationship science, online dating & well-being
PhD Human Development, Northwestern
Dr. Marcus Webb
Senior UX Researcher
Belonging, emotion, romantic relationships
PhD Social Psychology, published in NEJM
Priya Sharma
Lead Relationship Scientist
Behavioral science → practical dating advice
Psychology, Harvard. Author & dating coach
Alex Rivera
Data Analyst, BI
Conversation dynamics & success patterns
BS Biomedical Engineering, Duke
Methodology
How we do the research.
We bridge relationship science, behavioral analysis, UX research, and AI.
Literature Review
Building on decades of relationship science and psychology research.
User Surveys
Thousands of daters sharing their experiences, preferences, and outcomes.
Controlled Experiments
A/B tests and randomized studies to prove cause-and-effect.
Behavioral Analytics
AI models analyzing aggregate patterns from millions of interactions on the platform.
From Insight to Feature
Research pipeline.
Question
Identify a friction point in the dating journey.
Research
Design studies to understand root causes.
Insight
Extract actionable findings from data.
Prototype
Build and test solutions with real users.
Ship
Launch features that measurably improve outcomes.
Publications
Published research.
The Psychology of Profile Building: How Self-Presentation Affects Match Quality
Journal of Social & Personal Relationships
Reducing Dating Burnout Through Intentional Design Patterns
Psychological Science
Message Length and Response Rates: An Analysis of 2M Conversations
Current Directions in Psychological Science
The 8-Like Effect: How Constraints Improve Decision Quality in Dating
Emotion
Labs in the headlines
Want to join the lab?
We're hiring AI researchers, data scientists, and behavioral analysts.