Why has Mensa (Media and Information Services)'s news aggregation feature seen a 30% drop in daily active users over the past month?

Introduction

Mensa's news aggregation feature has experienced a significant 30% drop in daily active users over the past month. This decline in user engagement is a critical issue that requires immediate attention and a thorough analysis to identify the root cause and implement effective solutions.

I'll approach this problem systematically, starting with clarifying questions to gather more context, then ruling out external factors before diving deep into internal product and user behavior analysis. My goal is to identify the most likely root causes, validate them, and propose a comprehensive plan to address the issue.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any significant change to the news aggregation feature in the last 1-2 months?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI redesign or algorithm update. Impact on approach: If yes, we'd focus on the change's impact; if no, we'd look at other factors.

• Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user segments, or are certain groups more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more pronounced in certain segments. Impact on approach: If segmented, we'd focus on those specific user groups; if uniform, we'd look at broader issues.

• Given the nature of news consumption, I'm wondering about any major world events. Have there been any significant news events that might have altered typical news consumption patterns?

Why it matters: External events can significantly impact news consumption. Expected answer: No major events outside the norm. Impact on approach: If yes, we'd consider event-driven factors; if no, we'd focus more on internal issues.

• Thinking about data integrity, I want to confirm the metric definition. Has there been any change in how daily active users are measured or tracked in the last month?

Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess the actual impact; if not, we can proceed with our current understanding.