What caused the sudden spike in error rates for Paper's math tutoring sessions last week?

Introduction

The sudden spike in error rates for Paper's math tutoring sessions last week is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our tutoring platform.

I'll begin by clarifying the context, then rule out external factors before diving deep into our product ecosystem. We'll break down the error rate metric, gather relevant data, and form data-driven hypotheses. Through rigorous root cause analysis, we'll validate our findings and develop a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent product update. Have there been any changes to the tutoring platform in the past two weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, we rolled out a new feature last Tuesday. Impact on approach: If true, we'd focus on the new feature's implementation and integration.

• Considering user segments, I'm curious about the distribution of errors. Are we seeing this spike across all user groups or is it concentrated in specific segments?

Why it matters: Helps narrow down potential causes and affected users. Expected answer: The spike is more pronounced among high school students. Impact on approach: We'd investigate factors specific to this user group's interactions.

• Given the nature of math tutoring, I'm wondering about the types of errors we're seeing. Is there a pattern in the error messages or are they varied?

Why it matters: Patterns in errors can point to specific system or content issues. Expected answer: There's an increase in "session timeout" errors. Impact on approach: We'd focus on session management and connectivity issues.

• Thinking about external factors, has there been any significant change in user traffic or usage patterns coinciding with the error spike?

Why it matters: Unusual traffic patterns could indicate external events affecting our service. Expected answer: We've seen a 20% increase in session requests. Impact on approach: We'd investigate our system's capacity to handle increased load.