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

Capitolis

Why has Capitolis's novation service seen a 30% drop in transaction volume over the past quarter?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Strategic Thinking Financial Technology Capital Markets Risk Management User Experience Product Metrics Root Cause Analysis Competitive Analysis Financial Services
Product Management Root Cause Analysis Question: Investigating Capitolis novation service transaction volume decrease

Introduction

Capitolis's novation service has experienced a significant 30% drop in transaction volume over the past quarter, raising concerns about the product's performance and market position. To address this issue, I'll employ a systematic approach to identify, validate, and address the root cause while considering both immediate and long-term implications for the business.

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 seasonal factors at play. Has this 30% drop been compared to the same quarter last year?

Why it matters: Seasonal trends could explain the volume decrease without indicating a deeper problem. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on long-term trends rather than immediate fixes.

  • Considering user segments, I'm curious about the distribution of the volume drop. Is the 30% decrease uniform across all user types or concentrated in specific segments?

Why it matters: Identifying affected segments helps pinpoint potential causes and tailor solutions. Expected answer: The drop is more pronounced in institutional clients. Impact on approach: We'd prioritize investigating factors affecting institutional users.

  • Regarding recent changes, have there been any significant updates to the novation service or related systems in the past quarter?

Why it matters: Recent changes could directly impact user behavior and transaction volume. Expected answer: A new UI was rolled out for institutional clients two months ago. Impact on approach: We'd focus on the UI change's impact on institutional users' workflow.

  • Thinking about market conditions, has there been any notable shift in the financial markets that could affect novation demand?

Why it matters: External market factors could explain the volume decrease independently of product issues. Expected answer: There's been some market volatility, but nothing extraordinary. Impact on approach: We'd consider market factors as a contributing, but not primary, cause.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025