What caused the sudden 30% decrease in user engagement for Stats Perform's Watch&Bet live streaming service last week?

Introduction

The sudden 30% decrease in user engagement for Stats Perform's Watch&Bet live streaming service last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent product update. Has there been any significant change to the Watch&Bet service in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a UI update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.

• Considering the nature of live streaming, I'm wondering about any major sporting events. Were there any significant games or tournaments that ended recently?

Why it matters: Event calendars can greatly influence engagement in sports-related products. Expected answer: No major events ended recently. Impact on approach: If yes, we'd consider event-related factors; if no, we'd focus more on internal issues.

• Given the specificity of the 30% decrease, I'm curious about our measurement systems. Has there been any change in how we track or calculate user engagement?

Why it matters: Metric definition changes can cause apparent shifts without actual user behavior changes. Expected answer: No changes to measurement systems. Impact on approach: If yes, we'd scrutinize the measurement process; if no, we'd focus on actual engagement factors.

• Thinking about user segments, I'm wondering if this decrease is uniform across all user groups. Do we see any particular demographic or user type more affected?

Why it matters: Segmented analysis can reveal targeted issues vs. system-wide problems. Expected answer: The decrease is relatively uniform. Impact on approach: If segmented, we'd focus on specific user groups; if uniform, we'd look at broader system issues.