Why has Preply's tutor rating system seen a 15% drop in user engagement over the past month?

Introduction

Preply's tutor rating system has experienced a 15% drop in user engagement over the past month, signaling a critical issue that requires immediate attention. 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.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this drop coincided with any particular academic calendar events?

Why it matters: Seasonal trends could explain temporary engagement dips. Expected answer: No significant seasonal events correlate with the drop. Impact on approach: If seasonal, we'd focus on cyclical engagement strategies.

• Considering user segments, I'm curious if this drop is uniform across all user types. Are we seeing differences between new and returning users?

Why it matters: Segmentation could reveal targeted issues affecting specific user groups. Expected answer: The drop is more pronounced among returning users. Impact on approach: We'd prioritize retention strategies and investigate potential fatigue factors.

• Thinking about recent changes, have there been any updates to the rating system or related features in the past 1-2 months?

Why it matters: Recent changes could directly impact user engagement with the rating system. Expected answer: A minor UI update was implemented 6 weeks ago. Impact on approach: We'd scrutinize the update's impact on user behavior and interaction patterns.

• Regarding system health, has there been any change in the performance or reliability of the rating system recently?

Why it matters: Technical issues could deter users from engaging with the system. Expected answer: No significant performance issues have been reported. Impact on approach: If technical problems exist, we'd prioritize system optimization.