What's causing the sudden spike in customer support response times for Intercom's email ticketing system?

Introduction

The sudden spike in customer support response times for Intercom's email ticketing system is a critical issue that demands immediate attention. This problem directly impacts customer satisfaction, operational efficiency, and potentially, the company's bottom line. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the system. Has there been any recent update or deployment to the email ticketing system?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a new feature was deployed last week. Impact on approach: If true, I'd focus on the new feature's impact on the system.

• Considering user segments, I'm wondering if this is affecting all customers equally. Are we seeing this spike across all customer tiers or is it concentrated in a specific segment?

Why it matters: Helps narrow down potential causes and prioritize solutions. Expected answer: The spike is more pronounced in enterprise-level customers. Impact on approach: I'd investigate enterprise-specific features or load patterns.

• Thinking about the metric itself, I'm curious about the definition of "response time." Has there been any recent change in how we measure or report this metric?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If unchanged, I'd focus on actual system performance issues.

• Considering external factors, I'm wondering if there's been a significant increase in ticket volume. Have we seen any unusual spikes in the number of support requests recently?

Why it matters: Increased load could explain longer response times. Expected answer: Ticket volume has increased by 20% in the last week. Impact on approach: I'd investigate capacity issues and potential triggers for increased volume.