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Product Management Root Cause Analysis Question: Investigating decreased video watch time for online learning platform
Image of author vinay

Vinay

Updated Nov 19, 2024

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Why has the average watch time for Skillshare's video lessons decreased by 20% over the past month?

Data Analysis Problem Solving Strategic Thinking EdTech Online Learning Digital Content
User Engagement Data Analysis Product Metrics Root Cause Analysis EdTech

Introduction

The recent 20% decrease in average watch time for Skillshare's video lessons over the past month is a critical issue that demands immediate attention. This metric directly impacts user engagement, content effectiveness, and ultimately, the platform's success. 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 seasonal component. Has this decrease coincided with any major holidays or academic schedules?

Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on cyclical engagement strategies.

  • Considering user segments, I'm curious if this decrease is uniform across all user types. Have you noticed any particular user groups more affected than others?

Why it matters: Identifies whether the issue is global or segment-specific. Expected answer: The decrease is more pronounced among newer users. Impact on approach: We'd prioritize onboarding and early engagement initiatives.

  • Thinking about recent changes, have there been any significant updates to the platform or content library in the past 1-2 months?

Why it matters: Recent changes could directly impact user behavior. Expected answer: A new recommendation algorithm was implemented. Impact on approach: We'd focus on analyzing and optimizing the new algorithm.

  • Considering technical aspects, has there been any change in how watch time is measured or reported?

Why it matters: Ensures the observed decrease is real and not a measurement artifact. Expected answer: No changes in measurement methodology. Impact on approach: Confirms we're dealing with an actual behavioral shift.

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