Facebook has 2 applications - Facebook Blue which is the normal app, and Facebook Lite which is a lighter version specially designed for geographies with lower internet bandwidths. It is seen that user retention on Facebook Lite is low compared to Facebook Blue. Investigate why.

Introduction

Facebook's user retention challenge with Facebook Lite compared to Facebook Blue presents a complex product issue requiring thorough analysis. I'll approach this systematically, examining potential root causes and developing a comprehensive strategy to address the retention gap.

Step 1

Clarifying Questions (3 minutes)

• What are the specific retention metrics we're looking at (e.g., 7-day, 30-day)?

• How significant is the retention gap between Lite and Blue?

• Are there particular user segments or regions where the gap is more pronounced?

• When did we first notice this retention discrepancy?

• Have there been any recent changes to Facebook Lite that might explain the shift?

• Are there any known technical issues or performance problems with Facebook Lite?

Why these questions matter:

1. Retention metrics: Defines the scope of the problem and helps focus our analysis. Hypothetical answer: "We're seeing a 20% lower 30-day retention rate for Lite compared to Blue." Impact: This would indicate a significant, long-term engagement issue.

2. Retention gap significance: Helps prioritize the issue and allocate resources appropriately. Hypothetical answer: "The gap has widened from 5% to 15% over the past quarter." Impact: This trend suggests an urgent need for investigation and action.

3. User segments: Identifies if the problem is universal or specific to certain groups. Hypothetical answer: "The gap is most pronounced in Southeast Asian markets." Impact: This would focus our investigation on region-specific factors.

4. Timeline: Provides context for potential causes and helps narrow down contributing factors. Hypothetical answer: "The gap has been growing steadily over the past six months." Impact: This timeline would guide us to look at changes implemented during this period.

5. Recent changes: Highlights potential direct causes of the retention issue. Hypothetical answer: "We rolled out a new UI for Lite three months ago." Impact: This would be a prime area for investigation, examining user feedback and usage patterns post-update.

6. Technical issues: Identifies if there are known problems affecting user experience. Hypothetical answer: "We've seen an increase in app crashes on certain Android devices." Impact: This would shift our focus to technical debugging and performance optimization.