How would you measure the success of Match's "Missed Connections" feature?

Introduction

Measuring the success of Match's "Missed Connections" feature requires a comprehensive approach that considers multiple stakeholders and metrics. This location-based feature aims to connect users who have crossed paths in real life, adding a serendipitous element to online dating. I'll follow a structured framework covering product context, success metrics hierarchy, and strategic initiatives to evaluate this feature's performance effectively.

Step 1

Product Context

Match's "Missed Connections" feature leverages users' location data to suggest potential matches with people they've crossed paths with in real life. This feature aims to bridge the gap between online and offline interactions, potentially increasing the likelihood of meaningful connections.

Key stakeholders include:

1. Users seeking romantic connections
2. Match Group (parent company)
3. Advertisers and partners
4. Product and engineering teams

User flow:

1. User enables location services
2. App tracks user's movements throughout the day
3. User receives notifications of potential matches they've crossed paths with
4. User can view profiles and decide to connect or pass

This feature aligns with Match's strategy to differentiate itself in the competitive online dating market by offering unique ways to form connections. Compared to competitors like Happn, which focuses entirely on location-based matching, "Missed Connections" is an additional feature within Match's broader platform.

Product Lifecycle Stage: Growth - The feature has been introduced and is gaining traction, but there's still room for optimization and increased adoption.