Why has BetMGM's live betting feature seen a 30% drop in user engagement over the past month?

Introduction

The recent 30% drop in user engagement for BetMGM's live betting 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 fixes and long-term strategic implications for the product.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this drop coincided with any major sporting events or seasons ending?

Why it matters: Seasonal patterns could explain the engagement drop and inform our solution approach. Expected answer: No major seasonal changes noted. Impact on approach: If seasonal, we'd focus on content strategy; if not, we'd look deeper into product or technical issues.

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

Why it matters: Identifying specific affected segments could point to targeted issues or changes. Expected answer: The drop is more pronounced among casual users. Impact on approach: If segment-specific, we'd tailor solutions to those users; if uniform, we'd look at broader product issues.

• Thinking about recent changes, have there been any significant updates to the live betting feature or related systems in the past month?

Why it matters: Recent changes could directly correlate with the engagement drop. Expected answer: A minor UI update was implemented three weeks ago. Impact on approach: If changes occurred, we'd investigate their impact; if not, we'd focus on external factors or gradual trends.

• Considering data integrity, has there been any change in how engagement is measured or reported in the last month?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to measurement systems or definitions. Impact on approach: If measurement changed, we'd recalibrate our analysis; if not, we'd proceed with investigating actual engagement factors.