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Product Management Root Cause Analysis Question: Investigating sudden increase in Udacity ML Nanodegree support tickets
Image of author vinay

Vinay

Updated Nov 25, 2024

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What's causing the sudden increase in support ticket volume for Udacity's Machine Learning Engineer Nanodegree?

Problem-Solving Data Analysis Strategic Thinking EdTech Online Learning Software as a Service
Product Improvement Data Analysis Root Cause Analysis Edtech Customer Support

Introduction

The sudden increase in support ticket volume for Udacity's Machine Learning Engineer Nanodegree is a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to the surge in support tickets and propose actionable steps to resolve the issue.

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 recent change in the course content or structure. Has there been any significant update to the Machine Learning Engineer Nanodegree curriculum in the past month?

Why it matters: Recent changes could directly impact user experience and lead to increased support tickets. Expected answer: Yes, there was a major update to the curriculum two weeks ago. Impact on approach: If confirmed, I'd focus on analyzing the specific changes and their potential impact on user experience.

  • Considering user segments, I'm wondering if this increase is uniform across all students. Are we seeing a higher concentration of support tickets from a particular cohort or demographic?

Why it matters: Identifying affected user segments can help narrow down potential causes and tailor solutions. Expected answer: The increase is more pronounced among students who recently started the program. Impact on approach: If true, I'd investigate onboarding processes and early-stage course materials for potential issues.

  • Thinking about the nature of support tickets, I'm curious about the specific topics being raised. What are the top 3 categories of issues reported in these support tickets?

Why it matters: Understanding the nature of the issues can help pinpoint specific problem areas within the course or platform. Expected answer: The top issues relate to assignment submissions, grading discrepancies, and technical setup problems. Impact on approach: This would guide my focus towards specific aspects of the course experience and technical infrastructure.

  • Considering potential system changes, I'm wondering about the support infrastructure itself. Have there been any recent updates to the support ticket system or changes in how tickets are categorized?

Why it matters: Changes in the support system could artificially inflate ticket numbers without an actual increase in user issues. Expected answer: No significant changes to the support system in the past three months. Impact on approach: If confirmed, this would rule out support system changes as a cause and focus the investigation on user-facing issues.

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