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Company focus

Early Warning

What caused the sudden spike in failed identity verifications for Early Warning's Account Validation service last week?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Fintech Banking Cybersecurity Data Analysis Fintech Root Cause Analysis Troubleshooting Identity Verification
Product Management Root Cause Analysis Question: Investigating sudden spike in failed identity verifications for financial service

Introduction

The sudden spike in failed identity verifications for Early Warning's Account Validation 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 fixes and long-term implications for the product.

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 a comprehensive resolution plan.

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 changes to the Account Validation service in the past two weeks?

Why it matters: System changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, I'd focus on the update's impact; if no, I'd look at external factors.

  • Considering user segments, I'm curious about the distribution of failures. Are we seeing this spike across all user types, or is it concentrated in specific segments?

Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The spike is more pronounced in mobile users. Impact on approach: If segmented, I'd investigate that specific user group; if universal, I'd look at core system issues.

  • Thinking about the verification process, I'm wondering about the failure points. At which step in the verification flow are we seeing the most failures?

Why it matters: Pinpoints the exact part of the system to investigate. Expected answer: Failures are occurring at the data matching stage. Impact on approach: This would guide where to focus our technical investigation.

  • Considering potential data issues, I'm curious about our data sources. Have there been any changes or issues reported with our data providers recently?

Why it matters: Data quality is crucial for identity verification. Expected answer: No reported issues with data providers. Impact on approach: If yes, I'd investigate data quality; if no, I'd focus on internal processing.

  • Reflecting on system performance, I'm thinking about load issues. Have we seen any unusual spikes in usage or traffic that coincide with the increase in failures?

Why it matters: Performance under load can cause unexpected issues. Expected answer: There was a 20% increase in traffic last week. Impact on approach: If yes, I'd look at scaling and performance; if no, I'd focus on other internal factors.

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NextSprints

Updated Jan 22, 2025