A product manager decides to add threading to comments on group posts. We see comments per user increase by 10% but posts go down 2%. Why would that be?

Introduction

The product manager's decision to add threading to comments on group posts has resulted in a 10% increase in comments per user but a 2% decrease in posts. This trade-off scenario presents an interesting challenge in balancing user engagement metrics. I'll analyze the potential causes, impacts, and strategies to address this situation.

Step 1

Clarifying Questions (3 minutes)

• What's the primary goal of introducing comment threading? (User engagement, retention, or something else?)

• Why: Understanding the strategic intent helps align our analysis with business objectives.
• Hypothetical answer: To increase user engagement and time spent on the platform.
• Impact: Shapes our metric prioritization and success criteria.

• How long has this feature been live, and is the 2% post decrease consistent over time?

• Why: Distinguishes between short-term adjustment and long-term trend.
• Hypothetical answer: Feature has been live for one month, with consistent post decrease.
• Impact: Influences whether we need to allow more time for user adaptation or take immediate action.

• Are there any specific user segments showing different behaviors with threading?

• Why: Identifies potential opportunities or issues within subgroups.
• Hypothetical answer: Power users show higher engagement, while casual users show a slight decrease.
• Impact: May lead to targeted improvements or rollout strategies.

• Has there been any change in the quality or depth of comments since introducing threading?

• Why: Assesses the qualitative impact on user-generated content.
• Hypothetical answer: Comments are longer and more substantive on average.
• Impact: Could inform whether the trade-off is potentially beneficial for overall platform health.

• What's the current ratio of posts to comments, and how has it changed?

• Why: Provides context for the relative importance of posts vs. comments.
• Hypothetical answer: Previously 1:5, now 1:5.5 (posts:comments).
• Impact: Helps evaluate if the current shift is significant or within acceptable ranges.