How can we explain the sudden 30% decrease in average sync speed for Fivetran's Google Analytics connectors this week?

Introduction

The sudden 30% decrease in average sync speed for Fivetran's Google Analytics connectors this week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our product ecosystem.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent update. Has there been any change to the Google Analytics API or our connector code in the past week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was an update to the connector code. Impact on approach: If confirmed, we'd focus on code review and rollback options.

• Considering the scale of the issue, I'm wondering about its universality. Is this decrease consistent across all customers or limited to specific segments?

Why it matters: Helps determine if it's a global issue or segment-specific. Expected answer: The decrease affects 80% of customers. Impact on approach: If segmented, we'd investigate common characteristics of affected users.

• Given the nature of sync operations, I'm curious about data volume changes. Have we seen any significant increase in the amount of data being synced recently?

Why it matters: Data volume can impact sync speed dramatically. Expected answer: No significant changes in data volume. Impact on approach: If volumes have increased, we'd look into optimization strategies.

• Thinking about external factors, I'm considering Google's infrastructure. Have there been any reported issues or changes with Google Analytics' backend?

Why it matters: External changes could explain performance drops. Expected answer: No reported issues from Google. Impact on approach: If confirmed, we'd need to engage with Google's support team.