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Company focus

Reforge

Why has the average completion rate for Reforge's Experimentation and Testing modules declined by 20% in the last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking EdTech Professional Development Online Learning Product Strategy User Engagement Data Analysis Root Cause Analysis Edtech
Product Management Root Cause Analysis Question: Investigating declining completion rates in online courses

Introduction

The recent 20% decline in completion rates for Reforge's Experimentation and Testing modules is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the issue. We'll follow a structured approach to identify, validate, and resolve the underlying factors contributing to this decline.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to the module content or structure. Have there been any updates to the Experimentation and Testing modules in the past month?

Why it matters: Recent changes could directly impact user engagement and completion rates. Expected answer: Yes, there were minor updates to the content. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their potential effects.

  • Looking at user segments, I'm curious about the distribution of the decline. Is the 20% drop consistent across all user groups, or are certain segments more affected?

Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: The decline is more pronounced among newer users. Impact on approach: We'd investigate factors specifically impacting new user onboarding and engagement.

  • Considering external factors, I'm thinking about potential seasonal effects. How does this month's completion rate compare to the same period in previous years?

Why it matters: Seasonal trends could explain temporary fluctuations in engagement. Expected answer: This decline is unusual compared to previous years. Impact on approach: We'd focus on recent internal changes or external factors unique to this period.

  • Regarding measurement accuracy, I'm wondering about the consistency of our tracking. Have there been any changes to how we measure or define module completion in the last month?

Why it matters: Changes in measurement could lead to false perceptions of decline. Expected answer: No changes in measurement methods. Impact on approach: We'd rule out data collection issues and focus on actual user behavior changes.

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Updated Jan 22, 2025