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Product Management Root Cause Analysis Question: Investigating sudden lag increase in mobile card game
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Nextsprints

Updated Jan 22, 2025

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How did Games24x7's Ultimate Teen Patti game experience a sudden 40% spike in user complaints about lag issues last week?

Problem Solving Data Analysis Technical Understanding Gaming Mobile Apps Online Gambling
User Experience Performance Optimization Root Cause Analysis Mobile Apps Gaming

Introduction

Games24x7's Ultimate Teen Patti game experienced a sudden 40% spike in user complaints about lag issues last week, indicating a significant disruption in the user experience. To address this critical problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the product.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Considering the sudden nature of the spike, I'm wondering about recent changes. Have there been any updates to the game or backend systems in the past week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If confirmed, we'd focus on the update's components and rollback considerations.

  • Given the specificity of lag complaints, I'm curious about the game's architecture. Is Ultimate Teen Patti primarily server-based or peer-to-peer?

Why it matters: The architecture influences potential lag sources and solutions. Expected answer: It's primarily server-based with some peer-to-peer elements. Impact on approach: This would guide our investigation towards server performance and network optimization.

  • Noticing the 40% figure, I'm thinking about user segmentation. Is this spike uniform across all user segments or concentrated in specific groups?

Why it matters: Segmentation helps isolate the problem and tailor solutions. Expected answer: The spike is more pronounced in certain regions or device types. Impact on approach: We'd prioritize investigating those specific segments and their unique characteristics.

  • Considering the timing, I'm wondering about any concurrent events. Were there any major tournaments or promotions running when the lag issues started?

Why it matters: High-traffic events can strain systems and reveal scalability issues. Expected answer: A popular tournament started around the same time. Impact on approach: We'd examine the correlation between event participation and lag reports.

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