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Product Management Root Cause Analysis Question: Investigating sudden decrease in Peloton Tread live class attendance
Image of author vinay

Vinay

Updated Nov 19, 2024

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What's causing the sudden 30% decrease in live class attendance for Peloton Tread users this month?

Data Analysis Problem-Solving Strategic Thinking Fitness Technology Connected Devices Subscription Services
Product Strategy User Engagement Data Analysis Root Cause Analysis Fitness Tech

Introduction

The sudden 30% decrease in live class attendance for Peloton Tread users this month is a critical issue that demands immediate attention. This significant drop in engagement could have far-reaching implications for user retention, revenue, and overall product health. 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.

My analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of potential external factors. We'll then dive deep into product understanding, metric breakdown, and data analysis to generate and validate hypotheses. Finally, we'll develop a comprehensive plan to address the issue and prevent future occurrences.

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 30% decrease been compared to the same month last year?

Why it matters: Seasonal trends could explain fluctuations in user behavior. Expected answer: Yes, it's been compared, and this decrease is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Identifying affected segments could point to specific issues or user needs. Expected answer: The decrease is more significant among casual users compared to power users. Impact on approach: We'd focus on understanding what's changed for casual users and why they're disengaging.

  • Thinking about recent changes, have there been any significant updates to the Tread product, content, or user experience in the past month?

Why it matters: Recent changes could directly impact user behavior and class attendance. Expected answer: A new user interface was rolled out two weeks ago. Impact on approach: We'd investigate how the new UI might be affecting class discovery or attendance.

  • Considering the broader ecosystem, has there been any change in the performance or availability of the live streaming infrastructure?

Why it matters: Technical issues could be preventing users from joining live classes. Expected answer: No major outages reported, but there have been some intermittent connectivity issues. Impact on approach: We'd need to investigate the extent and impact of these connectivity problems.

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