Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

BNY

What factors are causing the increased error rate in BNY Mellon's fund accounting and administration services for hedge funds this month?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Technical Understanding Financial Services Asset Management FinTech Root Cause Analysis System Performance Financial Services Regulatory Compliance Data Accuracy
Product Management Root Cause Analysis Question: Investigating increased error rates in financial services

Introduction

The increased error rate in BNY Mellon's fund accounting and administration services for hedge funds this month 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 strategic implications.

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 there might be a recent system change. Has there been any significant software update or infrastructure change in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a new software version was deployed. Impact on approach: If confirmed, we'd focus on the changes introduced in the update.

  • Considering the specificity of the issue, I'm wondering about the scope. Is this increased error rate affecting all hedge fund clients or a specific subset?

Why it matters: Helps determine if it's a systemic issue or limited to certain client types. Expected answer: It's affecting 60% of our hedge fund clients. Impact on approach: If limited, we'd investigate common characteristics among affected clients.

  • Given the nature of fund accounting, I'm curious about the error types. Are we seeing a particular type of error occurring more frequently?

Why it matters: Different error types point to different root causes. Expected answer: Yes, there's an increase in NAV calculation errors. Impact on approach: We'd focus on the specific processes involved in NAV calculations.

  • Thinking about external factors, have there been any significant market events or regulatory changes that could impact our calculations?

Why it matters: External factors can sometimes explain sudden changes in performance. Expected answer: No major market events, but a new regulatory requirement was introduced. Impact on approach: If confirmed, we'd examine our compliance with the new regulation.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025