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Product Management Metrics Question: Measuring success of Tinder's Super Like feature

Asked at Tinder

12 mins

how would you measure the success of tinder's super like feature?

Product Success Metrics Medium Member-only
Metrics Definition Stakeholder Analysis Product Strategy Dating Apps Social Media Mobile Apps
Dating Apps User Engagement Product Metrics Monetization Feature Analysis

Introduction

Measuring the success of Tinder's Super Like feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this product success metric problem, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy.

Step 1

Product Context

Tinder's Super Like feature allows users to indicate a strong interest in a potential match. When a user Super Likes someone, that person will see a blue star next to the user's profile when they appear in their stack. This feature aims to increase meaningful connections and engagement on the platform.

Key stakeholders include:

  1. Users (both senders and recipients of Super Likes)
  2. Tinder (the company)
  3. Match Group (parent company)
  4. Advertisers

User flow:

  1. User encounters a profile they're particularly interested in
  2. User taps the blue star icon to Super Like
  3. The recipient sees the Super Liked profile with a blue star
  4. Recipient decides whether to match or pass

The Super Like feature fits into Tinder's broader strategy of increasing user engagement and monetization. It's a premium feature, available in limited quantities to free users and more abundantly to paid subscribers.

Compared to competitors like Bumble or Hinge, Tinder's Super Like is a unique differentiator. While other apps have similar features (e.g., Bumble's SuperSwipe), Tinder's implementation is more widely recognized.

Product Lifecycle Stage: Mature. The Super Like feature has been around for several years and is well-established within the app's ecosystem.

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