Why has the average delivery time for Domino's online orders increased by 15 minutes in the past month?

Introduction

The recent 15-minute increase in Domino's online order delivery times is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both internal and external factors that could be impacting delivery performance. We'll follow a structured approach to identify, validate, and address the underlying issues while keeping both short-term fixes and long-term strategic implications in mind.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the ordering system. Has there been any significant update to the online ordering platform in the past month?

Why it matters: System changes often have unintended consequences on performance. Expected answer: Yes, a new feature was added to the ordering system. Impact on approach: If yes, we'd focus on the new feature's impact on order processing.

• Considering the specificity of the 15-minute increase, I'm curious about our measurement accuracy. Has there been any change in how we measure or calculate delivery times?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methods. Impact on approach: If there were changes, we'd need to validate the data before proceeding.

• Given the nature of food delivery, I'm wondering about staffing levels. Have there been any significant changes in delivery staff numbers or turnover rates recently?

Why it matters: Staffing issues directly impact delivery times. Expected answer: Staffing levels have remained consistent. Impact on approach: If staffing has changed, we'd prioritize workforce-related hypotheses.

• Thinking about external factors, has there been any notable change in order volume or patterns in the past month?

Why it matters: Sudden increases in demand can strain the system. Expected answer: Order volume has increased by 20%. Impact on approach: A significant increase would lead us to focus on capacity and scalability issues.