How can we explain the 20% drop in customer satisfaction scores for GXO's reverse logistics operations in North America since implementing the new returns management software?

Introduction

The 20% drop in customer satisfaction scores for GXO's reverse logistics operations in North America since implementing the new returns management software 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 the business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form 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 be a correlation between the new software implementation and the drop in satisfaction. When exactly was the new returns management software implemented?

Why it matters: This helps establish a clear timeline for the issue. Expected answer: Within the last 3-6 months. Impact on approach: If the timing aligns closely, we'll focus more on software-related issues.

• Considering the scope, I'm wondering if this drop is uniform across all customer segments. Have you noticed any patterns in which types of customers are most affected?

Why it matters: This helps identify if the issue is universal or specific to certain user groups. Expected answer: The drop is more pronounced among high-volume retailers. Impact on approach: We'd prioritize investigating features used by the most affected segments.

• Given the magnitude of the drop, I'm curious about the specific aspects of customer satisfaction that declined. Which components of the CSAT score saw the biggest changes?

Why it matters: This pinpoints the areas of the returns process most impacted. Expected answer: Ease of use and processing speed ratings decreased significantly. Impact on approach: We'd focus on UI/UX and performance optimization in our analysis.

• Considering potential data issues, I'm wondering if there have been any changes to how customer satisfaction is measured. Has the survey methodology or scoring system remained consistent?

Why it matters: This rules out measurement errors as a cause. Expected answer: No changes to the measurement system. Impact on approach: If unchanged, we'll focus on actual performance issues rather than measurement discrepancies.