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Product Management Root Cause Analysis Question: Investigating sudden decrease in Tinder Super Like feature usage

Asked at Tinder

15 mins

What's causing the sudden 50% decrease in daily active users for Tinder's "Super Like" feature?

Data Analysis Problem Solving Feature Optimization Dating Apps Social Networking Mobile Apps
Dating Apps User Engagement Root Cause Analysis Metric Analysis Feature Optimization

Introduction

The sudden 50% decrease in daily active users for Tinder's "Super Like" feature is a critical issue that demands immediate attention and thorough analysis. This significant drop in engagement could have far-reaching implications for user satisfaction, revenue, and overall platform health. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent change in the feature. Has there been any update to the "Super Like" functionality in the past month?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a UI update. Impact on approach: If true, I'd focus on the UI change as a primary hypothesis.

  • Considering user segments, I'm curious about the distribution of the decrease. Is the 50% drop uniform across all user demographics, or is it more pronounced in specific groups?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease is more significant among users aged 18-24. Impact on approach: I'd prioritize investigating factors affecting younger users.

  • Given the feature's nature, I'm wondering about pricing. Has there been any change in the cost or pricing model of "Super Likes" recently?

Why it matters: Price changes can significantly impact feature usage. Expected answer: No recent price changes. Impact on approach: If true, I'd focus more on non-pricing factors.

  • Thinking about external factors, I'm curious if there have been any recent negative press or social media trends regarding Tinder or the "Super Like" feature?

Why it matters: Public perception can dramatically affect feature usage. Expected answer: Some viral tweets criticizing "Super Likes" last week. Impact on approach: If confirmed, I'd investigate the impact of negative publicity.

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