Jui Ramaprasad
Jui Ramaprasad is an academic whose research on gender gating in Indian matrimonials shows how strategic filtering can improve match quality for dating operators.
Maintained by the High Intent newsroom. Last updated July 31, 2026. Led by founder and CEO Bill Alena, backed by a team of industry experts with over 100 years of online dating experience between them.
Who Jui Ramaprasad is
Jui Ramaprasad is a researcher who has published work concerning online dating. Her research includes the implementation of gender gating on an Indian matrimonial platform. This intervention aimed to address gender imbalance and improve user experience. The gender gating mechanism filtered men's access to women's profiles based on specific criteria such as education and age. The study found that this approach led to a 6% reduction in message overload for women and a 72% increase in overall match efficacy. Ramaprasad's work provides operators with insights into how targeted filtering strategies can enhance match quality and user engagement, particularly in platforms facing gender imbalance, without relying on complex algorithmic solutions.
Questions operators ask about Jui Ramaprasad
The implementation of gender gating led to a 72% increase in overall match efficacy. It also reduced the message overload experienced by women on the platform by 6%. These results suggest that such strategies can significantly improve user experience and the quality of interactions.
Also mentioned with Jui Ramaprasad
- Anand GopalPerson · 1 shared story
- George Mason UniversityCompany · 1 shared story
- Nanyang Technological UniversityCompany · 1 shared story
- Sabari Rajan KarmegamPerson · 1 shared story
- University of MarylandCompany · 1 shared story
Our coverage of Jui Ramaprasad
1 story
Indian Matrimonial Platform Implements Gender Gating to Enhance Match QualityAn Indian matrimonial platform used "gender gating" to address gender imbalance. This change, which filtered which men could view women's profiles based on criteria like education and age, reduced women's message overload by 6% and increased overall match efficacy by 72%. For operators, this indicates that strategic filtering can improve match quality and user engagement in imbalanced markets without complex algorithms.
Also in this storySabari Rajan KarmegamGeorge Mason UniversityUniversity of MarylandAnand GopalNanyang Technological University
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