What caused the sudden spike in customer support tickets related to AppFolio's maintenance request system last week?

Introduction

The sudden spike in customer support tickets related to AppFolio's maintenance request system 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 strategic implications.

To tackle this challenge, I'll follow a structured framework that covers issue identification, hypothesis generation, validation, and solution development. This approach will ensure we leave no stone unturned in our quest to resolve the problem and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update to the maintenance request system. Has there been any significant changes or updates to the system in the past week or two?

Why it matters: Recent changes often correlate with sudden spikes in support tickets. Expected answer: Yes, there was an update to the user interface last week. Impact on approach: If confirmed, we'd focus on the update as a primary suspect.

• Considering user segments, I'm curious about the distribution of these support tickets. Are they coming from a specific type of user (e.g., property managers, tenants) or is it across the board?

Why it matters: This helps us narrow down if it's a user-specific issue or a system-wide problem. Expected answer: The majority of tickets are coming from tenants. Impact on approach: If tenant-specific, we'd focus on the tenant-facing aspects of the system.

• Given the nature of maintenance requests, I'm wondering about the seasonality. Is this time of year typically associated with higher maintenance request volumes?

Why it matters: Seasonal factors could explain increased system stress leading to issues. Expected answer: This is not typically a high-volume season for maintenance requests. Impact on approach: If not seasonal, we'd look more closely at system-related factors.

• Thinking about system performance, has there been any changes in server load or response times coinciding with the spike in support tickets?

Why it matters: Performance issues often lead to user frustration and increased support tickets. Expected answer: There have been some reports of slower response times. Impact on approach: If confirmed, we'd prioritize investigating backend performance issues.