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

NextSprints
NextSprints Icon NextSprints Logo
⌘K
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

OakNorth

Why has the average time to process commercial real estate loan applications through OakNorth's ON Credit Intelligence Suite doubled in the last month?

Prepared by NextSprints

15 mins
Report an error
Problem-Solving Data Analysis Technical Understanding Financial Services Real Estate Technology Fintech Performance Optimization Root Cause Analysis Data Processing Commercial Real Estate
Product Management Root Cause Analysis Question: Investigating doubled loan processing time for OakNorth's Credit Intelligence Suite

Introduction

The doubling of average processing time for commercial real estate loan applications through OakNorth's ON Credit Intelligence Suite is a critical issue that demands immediate attention. This significant increase in processing time not only affects customer satisfaction but also impacts the overall efficiency and competitiveness of our lending operations. To address this problem, I'll employ a systematic approach to identify, validate, and resolve 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 have been a recent system update. Has there been any significant changes to the ON Credit Intelligence Suite in the past month?

Why it matters: System changes often lead to unexpected performance issues. Expected answer: Yes, there was a major update to the credit scoring algorithm. Impact on approach: If confirmed, we'd focus on the new algorithm's performance and integration.

  • Considering user segments, I'm curious about the distribution of this increase. Is the doubling of processing time consistent across all types of commercial real estate loans, or is it more pronounced in certain categories?

Why it matters: Helps identify if the issue is systemic or specific to certain loan types. Expected answer: The increase is more significant for larger, complex loans. Impact on approach: We'd investigate factors specific to complex loan processing.

  • Thinking about external factors, has there been any notable change in the volume or complexity of loan applications received in the last month?

Why it matters: External changes could explain the increased processing time. Expected answer: Application volume has remained stable, but complexity has increased slightly. Impact on approach: We'd need to determine if the slight increase in complexity justifies the doubling of processing time.

  • Regarding system performance, have there been any reported issues with data integration or third-party services that feed into the ON Credit Intelligence Suite?

Why it matters: Integration issues could significantly slow down processing. Expected answer: There have been some intermittent issues with a credit bureau API. Impact on approach: We'd prioritize investigating and resolving these integration problems.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Nov 19, 2024