What caused the sudden 20% drop in customer satisfaction scores for Dixa's knowledge base feature?

Introduction

The sudden 20% drop in customer satisfaction scores for Dixa's knowledge base feature 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 our product and users.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into product understanding, 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 timing, I'm thinking there might be a recent change that triggered this. Has there been any significant update to the knowledge base feature in the past month?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a UI redesign was implemented two weeks ago. Impact on approach: If confirmed, I'd focus on UI/UX-related hypotheses.

• Considering user segments, I'm curious about the distribution of this drop. Is the 20% decrease uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Segmented data can reveal targeted issues affecting specific user groups. Expected answer: The drop is more significant among new users. Impact on approach: I'd prioritize onboarding and first-time user experience in my analysis.

• Thinking about the metric itself, I'm wondering about its components. Can you confirm if the 20% drop is consistent across all aspects of satisfaction (e.g., ease of use, content quality, search functionality)?

Why it matters: Understanding which components are most affected helps narrow down potential causes. Expected answer: The drop is mainly in ease of use and search functionality scores. Impact on approach: I'd focus on technical and UX aspects related to navigation and search.

• Considering potential data anomalies, I'm curious about the measurement process. Has there been any change in how we collect or calculate customer satisfaction scores?

Why it matters: Changes in measurement can sometimes explain sudden metric shifts. Expected answer: No changes in measurement methodology. Impact on approach: I'd rule out measurement issues and focus on actual user experience factors.