The Challenge
The online dating market is saturated, but we identified a gap for tech professionals who seek partners with similar interests and career paths. Mainstream apps often failed to capture the nuances of this demographic, leading to low-quality matches and user fatigue.
The Process & Solution
The core innovation was a machine learning algorithm that went beyond simple profile data. It analyzed users' interests, communication styles, and in-app behavior to predict compatibility. This resulted in a 40% improvement in match compatibility rates.
I also designed an A/B testing plan for the onboarding flow, which successfully reduced the drop-off rate by 28%.
The Impact
Our data-driven approach yielded significant results within the first three months post-launch:
- User retention increased from 45% to 75%, a 67% improvement.
- The AI-driven match recommendations led to a 35% increase in daily active users.