1. Problem Context

As the Product Manager for a popular online multiplayer game, I analyzed a decline in player retention over the past six months.

The game:

• Has a vibrant community
• Offers frequent in-game events and rewards
• Follows a free-to-play model with in-game purchases
• Primarily serves users aged 18–35

Despite this:

• Players are churning after a few weeks of gameplay
• Early engagement remains relatively strong

Indicative trends (assumed for analysis):

• D7 retention: ~45% → ~42% (stable)
• D30 retention: ~28% → ~18% (declining)
• Churn concentrated in Week 2–4

Available inputs:

• User analytics (retention, engagement, progression)
• In-game behavior data
• Community/forum feedback

2. Approach

I approached this using a combination of lifecycle analysis, feature decomposition, and cohort-based reasoning.