What factors are contributing to the recent spike in error rates for Amplify's digital assessment platform?

Introduction

The recent spike in error rates for Amplify's digital assessment platform is a critical issue that demands immediate attention. As we delve into this product root cause analysis, we'll systematically identify, validate, and address the underlying factors contributing to this performance decline. Our approach will be comprehensive, considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with recent platform updates. Have there been any significant changes to the assessment platform in the last 30 days?

Why it matters: Recent changes could directly impact error rates. Expected answer: Yes, there was a major update two weeks ago. Impact on approach: If confirmed, we'd focus on regression testing and rollback considerations.

• Considering user segments, I'm wondering if this is a widespread issue or isolated to specific user groups. Are we seeing the error spike across all user types, or is it concentrated in particular segments?

Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The spike is more pronounced among high school users. Impact on approach: We'd prioritize investigating features or content specific to high school assessments.

• Given the nature of digital assessments, I'm curious about any changes in usage patterns. Has there been a significant increase in concurrent users or test-taking volume recently?

Why it matters: Sudden scale changes could strain system resources. Expected answer: Yes, we're in the middle of standardized testing season. Impact on approach: We'd focus on load testing and scaling infrastructure.

• Thinking about external factors, I'm considering potential changes in network conditions. Have we observed any correlation between error rates and specific geographic regions or internet service providers?

Why it matters: Network issues could explain sporadic errors. Expected answer: No clear geographic pattern has been identified. Impact on approach: We'd deprioritize network-related hypotheses and focus more on internal factors.