What's causing the sudden 30% increase in customer support tickets related to late deliveries for Gousto in the London area?

Introduction

The sudden 30% increase in customer support tickets related to late deliveries for Gousto in the London area is a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Gousto's operations and customer satisfaction.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into internal processes, data analysis, and hypothesis generation. My goal is to pinpoint the root cause and propose actionable solutions to resolve the issue efficiently.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a recent change. When exactly did you first notice this 30% increase in support tickets?

Why it matters: Pinpointing the timeframe helps isolate potential causes. Expected answer: Within the last week or two. Impact on approach: A sudden spike suggests a specific trigger rather than a gradual trend.

• Considering the specificity to London, I'm wondering about localized factors. Are other regions experiencing similar increases in late delivery complaints?

Why it matters: Determines if this is a London-specific issue or a broader problem. Expected answer: No, other regions are stable. Impact on approach: If London-specific, we'll focus on local logistics and operations.

• Given the nature of food delivery, I'm curious about seasonal patterns. Is this increase unusual compared to historical data for this time of year?

Why it matters: Rules out normal seasonal fluctuations. Expected answer: Yes, this is abnormal for the season. Impact on approach: Confirms the need to investigate recent changes or disruptions.

• Thinking about potential system changes, have there been any recent updates to the order processing or delivery tracking systems?

Why it matters: Identifies if technical issues could be contributing. Expected answer: A minor update was rolled out last week. Impact on approach: Would prompt a deep dive into the technical aspects of the update.

• Considering the impact on customer experience, has there been any change in the definition or measurement of "late delivery" in our systems?

Why it matters: Ensures we're comparing apples to apples in our data. Expected answer: No changes to the definition or measurement. Impact on approach: Confirms the increase is real and not due to measurement changes.