what if dating apps had more AI?

· Source: Jordan Harrod · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Gaming & Interactive Media, Emerging Technologies & Innovation · Depth: Novice, quick

Summary

Bumble has recently transitioned from its traditional swipe-based system to an AI matchmaker, a move the author critiques as potentially increasing distance between users in a time when people seek more genuine connections. While acknowledging that this integration could democratize typically expensive, 1% matchmaking services for the middle class, the author doubts its appeal to the average person. Instead, the article suggests a more effective AI integration strategy for dating apps: partnering with human matchmakers for in-person events. In this model, AI would process post-event feedback, similar to speed dating forms, to optimize future pairings, drawing parallels to services like 222 place and time left.

Key takeaway

For AI Product Managers developing social or dating applications, avoid implementing AI features that add layers of distance between users, like Bumble's new matchmaker. Instead, focus your AI integration on enhancing in-person interactions, such as using algorithms to optimize pairings after real-world events like speed dating. This approach leverages AI to facilitate genuine connections rather than replacing them, aligning with user desires for community and shared experiences.

Key insights

Bumble's AI matchmaker adds distance; better AI integrates with in-person events.

Principles

Method

Partner with matchmakers for in-person events; use AI to process post-event feedback forms for optimized future pairings, similar to speed dating models.

In practice

Topics

Best for: Product Manager, AI Product Manager, Entrepreneur, Consultant

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Jordan Harrod.