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Product Management Root Cause Analysis Question: Investigating declining completion rates for an online Python course
Image of author vinay

Vinay

Updated Nov 30, 2024

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Why has the completion rate for Pluralsight's "Introduction to Python" course dropped by 15% over the past month?

Data Analysis Problem-Solving User Behavior Understanding EdTech Online Learning Software Development
Data Analysis User Retention Product Metrics Root Cause Analysis E-Learning

Introduction

The recent 15% drop in completion rates for Pluralsight's "Introduction to Python" course over the past month is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address 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 drop coincided with any particular academic or industry cycle?

Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the demographics affected. Has the drop been consistent across all user groups, or are certain segments more impacted?

Why it matters: Identifies whether the issue is universal or segment-specific. Expected answer: The drop is more pronounced among beginner-level users. Impact on approach: Segment-specific issues would lead to targeted solutions.

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

Why it matters: Recent changes could directly impact user experience and completion rates. Expected answer: Minor UI updates were implemented six weeks ago. Impact on approach: If changes correlate with the drop, we'd focus on those specific updates.

  • Considering technical aspects, has there been any change in how completion rates are measured or reported?

Why it matters: Ensures the observed drop is real and not a reporting anomaly. Expected answer: No changes in measurement or reporting methods. Impact on approach: If measurement changed, we'd need to reassess the data's validity.

  • Looking at external factors, have you noticed any significant changes in marketing strategies or user acquisition channels?

Why it matters: Changes in user acquisition could affect the quality or motivation of new users. Expected answer: No major changes in marketing or acquisition strategies. Impact on approach: If acquisition changed, we'd investigate new user cohorts more closely.

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