How can we explain the sudden 25% drop in customer satisfaction scores for Schlumberger's Petrel E&P software platform support services in the last month?

Introduction

A sudden 25% drop in customer satisfaction scores for Schlumberger's Petrel E&P software platform support services is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the suddenness of the drop, I'm thinking there might have been a recent change in the support system. Has there been any significant update to the support infrastructure or processes in the last 1-2 months?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new ticketing system was implemented. Impact on approach: If confirmed, I'd focus on the new system's impact on support quality and efficiency.

• Considering the specificity of the 25% drop, I'm curious about the measurement methodology. Has there been any change in how customer satisfaction is measured or calculated recently?

Why it matters: Changes in measurement can sometimes explain sudden metric shifts. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, I'd focus on actual changes in customer experience rather than measurement artifacts.

• Given the nature of E&P software, I'm wondering about the user base composition. Has there been any significant change in the customer base or usage patterns in the past month?

Why it matters: Changes in user demographics or behavior can impact satisfaction scores. Expected answer: No significant changes in customer base. Impact on approach: If confirmed, I'd focus more on internal factors affecting existing customers.

• Considering the support services aspect, I'm thinking about potential staffing changes. Has there been any significant turnover or restructuring in the support team recently?

Why it matters: Changes in support personnel can directly impact service quality. Expected answer: Some turnover, but within normal ranges. Impact on approach: If confirmed, I'd investigate the impact of any staff changes on support quality.