Why has the customer satisfaction score for Didi Chuxing's DiDi Premier rides in Guangzhou declined from 4.8 to 4.2 in the last two weeks?

Introduction

The recent decline in customer satisfaction scores for DiDi Premier rides in Guangzhou from 4.8 to 4.2 over the past two weeks is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for DiDi Chuxing's premium service and overall brand reputation in a key market. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by ruling out external factors, understanding the product and user journey, breaking down the metric, gathering and prioritizing data, forming hypotheses, conducting root cause analysis, and finally proposing validation methods and next steps.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent change in the service. Has DiDi Premier introduced any new features or policies in Guangzhou in the past month?

Why it matters: Recent changes often correlate with shifts in customer satisfaction. Expected answer: Yes, there was a change in the driver allocation algorithm. Impact on approach: If confirmed, I'd focus on analyzing the algorithm change and its effects.

• Considering the specificity of the decline, I'm curious about the data collection. Has there been any change in how customer satisfaction scores are collected or calculated?

Why it matters: Changes in measurement can sometimes be mistaken for actual performance changes. Expected answer: No changes in the scoring system. Impact on approach: If unchanged, I'd focus on actual service quality issues rather than measurement anomalies.

• Given the magnitude of the drop, I'm wondering about user segments. Is this decline consistent across all user demographics, or is it more pronounced in specific groups?

Why it matters: Identifying affected segments can help pinpoint the issue more accurately. Expected answer: The decline is more significant among business users. Impact on approach: I'd investigate factors specifically affecting business users' experience.

• Considering external factors, I'm thinking about competitive landscape. Have there been any significant moves from competitors in Guangzhou recently?

Why it matters: Competitive pressures can indirectly affect customer satisfaction. Expected answer: No major competitive changes noted. Impact on approach: I'd focus more on internal factors if the competitive landscape remains stable.