What caused the sudden 50% decrease in in-game purchases for Ubisoft's Rainbow Six Siege during the last seasonal event?

Introduction

The sudden 50% decrease in in-game purchases for Ubisoft's Rainbow Six Siege during the last seasonal event 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 game's ecosystem.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to the seasonal event itself. Could you provide more details about the event, such as its duration and any unique features?

Why it matters: Understanding the event's specifics could reveal potential misalignments with user expectations or technical issues. Expected answer: Details about event duration, new content, and any changes to the in-game purchase system. Impact on approach: This information will help focus our investigation on event-specific factors vs. broader game issues.

• I'm curious about the user segments affected. Has the decrease been uniform across all player types, or are certain segments (e.g., new players, veterans) more impacted?

Why it matters: Identifying affected segments can point to specific user experience issues or changes in player behavior. Expected answer: Breakdown of the decrease across different user segments. Impact on approach: This will help tailor our hypotheses and solutions to the most affected groups.

• Considering the magnitude of the decrease, I'm wondering if there have been any recent changes to the in-game purchase system or item pricing. Can you confirm if any such changes were implemented before or during the event?

Why it matters: System changes could directly impact purchase behavior and might explain the sudden decrease. Expected answer: Information about recent changes to the purchase system or pricing structure. Impact on approach: This will help determine if the issue is related to new implementations or existing systems.

• Given that this is a seasonal event, I'm curious about historical data. How does this 50% decrease compare to purchase patterns during previous seasonal events?

Why it matters: Historical context can help determine if this is an anomaly or part of a larger trend. Expected answer: Comparison data from previous seasonal events. Impact on approach: This will inform whether we're dealing with an event-specific issue or a broader problem with seasonal content.