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Product Management Root Cause Analysis Question: Investigating sudden drop in Yuanfudao's live tutoring user engagement

Why has the daily active user count for Yuanfudao's live tutoring feature dropped by 15% over the past week?

Data Analysis Problem-Solving Strategic Thinking EdTech Online Education E-learning
User Engagement User Retention Product Metrics Root Cause Analysis Edtech

Introduction

The recent 15% drop in daily active users for Yuanfudao's live tutoring feature is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term and long-term implications.

To tackle this problem, I'll start by asking clarifying questions, rule out external factors, and then dive deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

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 seasonal factor at play. Has this drop coincided with any school holidays or exam periods?

Why it matters: Seasonal trends can significantly impact educational product usage. Expected answer: Yes, it coincides with a school break. Impact on approach: If confirmed, we'd need to compare to historical data during similar periods.

  • Considering user segments, I'm curious about the distribution of the drop. Is the 15% decrease uniform across all user groups, or is it more pronounced in specific segments?

Why it matters: Identifying affected segments can pinpoint specific issues or user needs. Expected answer: The drop is more significant among high school students. Impact on approach: We'd focus our investigation on factors affecting this particular user group.

  • Thinking about recent changes, have there been any updates to the live tutoring feature or related systems in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A minor UI update was implemented last week. Impact on approach: We'd investigate the impact of this update on user behavior and engagement.

  • Regarding competitive landscape, has there been any significant move from our competitors recently, such as a major feature launch or promotional campaign?

Why it matters: Competitive actions can directly impact our user engagement. Expected answer: A competitor launched a free trial campaign last week. Impact on approach: We'd assess the impact of this campaign on our user base and consider counter-strategies.

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