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Product Management Root Cause Analysis Question: Investigating sudden increase in failed trades on Binance Futures platform

What's causing the sudden increase in failed trades on Binance Futures over the last 24 hours?

Problem Solving Technical Understanding Data Analysis Cryptocurrency Financial Technology Trading Platforms
Data Analysis Root Cause Analysis System Performance Crisis Management Cryptocurrency Trading

Introduction

The sudden increase in failed trades on Binance Futures over the last 24 hours is a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our trading platform.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent system update. Has there been any significant platform changes or updates in the past 48 hours?

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

  • Considering the specificity of "failed trades," I'm curious about the nature of these failures. Are we seeing a particular error message or failure mode across these incidents?

Why it matters: Different error types point to different root causes. Expected answer: There's a consistent "timeout" error message. Impact on approach: This would narrow our focus to network or processing capacity issues.

  • Given that this is happening on Futures specifically, I'm wondering if there's been any unusual market volatility or trading volume in the last 24 hours?

Why it matters: Extreme market conditions can stress test systems in unexpected ways. Expected answer: Bitcoin futures saw a 30% spike in trading volume. Impact on approach: We'd need to investigate if our systems are adequately scaled for such volume increases.

  • Thinking about user segments, are these failed trades concentrated among a specific group of traders or spread evenly across the user base?

Why it matters: Localized issues suggest different problems than widespread ones. Expected answer: The failures seem evenly distributed across all user types. Impact on approach: This would indicate a systemic issue rather than a user-specific problem.

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