How can we explain the sudden 25% increase in customer service calls related to Brightline's Select service over the past two weeks?

Introduction

The sudden 25% increase in customer service calls related to Brightline's Select service over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and customer experience.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any change to the Select service in the last month?

Why it matters: Recent changes often correlate with spikes in customer service inquiries. Expected answer: Yes, there was a minor UI update two weeks ago. Impact on approach: If confirmed, I'd focus on UI-related hypotheses and user experience issues.

• Considering the specificity of the increase, I'm curious about the nature of these calls. What are the top 3 reasons customers are contacting support regarding Select?

Why it matters: This helps pinpoint whether the issue is widespread or specific to certain features. Expected answer: Billing issues, feature access problems, and account management queries. Impact on approach: I'd prioritize investigating these specific areas in my root cause analysis.

• Given the magnitude of the increase, I'm wondering about our customer segments. Has this increase been observed across all user types, or is it concentrated in a particular group?

Why it matters: This helps identify if the issue is universal or affects specific user segments. Expected answer: The increase is primarily seen in new users who've joined in the last month. Impact on approach: I'd focus on onboarding processes and new user experience in my analysis.

• Considering potential system issues, I'm curious about our monitoring setup. Have there been any alerts or anomalies detected in our system performance metrics coinciding with this increase?

Why it matters: This helps rule out or confirm technical issues as a potential cause. Expected answer: No significant system alerts, but there's been a slight increase in API response times. Impact on approach: I'd include backend performance in my hypotheses and data analysis.