What caused the sudden spike in failed trades on Stockbit's mobile app yesterday afternoon?

Introduction

The sudden spike in failed trades on Stockbit's mobile app yesterday afternoon is a critical issue that demands immediate attention and thorough analysis. 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 strategic implications.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a comprehensive examination of potential causes, data analysis, and hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a clear resolution plan.

Step 1

Clarifying Questions (3 minutes)

• I'm noticing the issue is specific to the mobile app. Would you say this problem is isolated to mobile platforms or is it affecting web-based trading as well?

Why it matters: This helps us narrow down whether it's a platform-specific issue or a broader system problem. Expected answer: The issue is primarily affecting the mobile app. Impact on approach: If it's mobile-only, we'll focus on mobile-specific factors like app updates or device compatibility.

• Given the sudden nature of the spike, I'm wondering about recent changes. Have there been any updates to the app or backend systems in the last 24-48 hours?

Why it matters: Recent changes are often culprits in sudden performance issues. Expected answer: There was a minor app update released yesterday morning. Impact on approach: If there was a recent update, we'd prioritize investigating that change and its potential impacts.

• Considering user segments, are we seeing this issue across all user types or is it more prevalent among certain groups?

Why it matters: This helps identify if it's a universal problem or specific to certain user segments. Expected answer: The issue seems to be affecting all user types equally. Impact on approach: If it's universal, we'd look at system-wide factors rather than user-specific issues.

• Regarding the definition of "failed trades," has there been any recent change in how we measure or categorize trade failures?

Why it matters: Ensures we're not dealing with a change in metrics rather than an actual increase in failures. Expected answer: No recent changes to the definition or measurement of failed trades. Impact on approach: If confirmed, we can focus on actual performance issues rather than metric definition changes.