What caused the sudden spike in error rates for UserZoom's remote moderated testing tool last week?

Introduction

The sudden spike in error rates for UserZoom's remote moderated testing tool last week is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.

Step 1

Clarifying Questions (3 minutes)

• Considering the timing, I'm wondering if there were any recent updates or changes to the tool. Have there been any deployments or system changes in the week leading up to the error spike?

Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, there was a minor update to the video streaming component. Impact on approach: If confirmed, we'd focus on the video streaming update as a primary suspect.

• Looking at the error rates, I'm curious about the scope of the issue. Is this affecting all users equally, or are there specific segments experiencing higher error rates?

Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: The issue seems to be more prevalent among users with slower internet connections. Impact on approach: We'd investigate network-related factors and optimize for various connection speeds.

• Given the nature of remote moderated testing, I'm wondering about the types of errors being reported. Are these primarily connection errors, or are users experiencing functional issues within the tool?

Why it matters: The nature of errors can point to specific components or processes causing the problem. Expected answer: Most errors are related to video lag and disconnections during sessions. Impact on approach: We'd focus on video streaming optimization and connection stability improvements.

• Considering the potential impact on ongoing research studies, I'm curious about the severity of the issue. What percentage increase in error rates are we seeing compared to normal levels?

Why it matters: The magnitude of the increase helps prioritize the issue and determine the urgency of our response. Expected answer: We're seeing a 200% increase in error rates compared to the previous month. Impact on approach: A significant increase would warrant immediate action and possibly a rollback of recent changes.