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

Spendesk

What factors are causing the sudden increase in failed transactions on Spendesk's expense management platform this week?

Prepared by NextSprints

15 mins
Report an error
Problem-Solving Data Analysis Technical Understanding FinTech SaaS Enterprise Software Data Analysis Root Cause Analysis System Performance Expense Management Transaction Processing
Product Management Root Cause Analysis Question: Investigating sudden increase in failed transactions on expense platform

Introduction

The sudden increase in failed transactions on Spendesk's expense management platform this week is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a thorough examination of potential external factors. We'll then dissect the product's user journey, break down the relevant metrics, and formulate data-driven hypotheses. Through rigorous root cause analysis and validation, we'll develop a comprehensive resolution plan that balances immediate actions with long-term prevention strategies.

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 change that triggered this issue. Have there been any significant updates to the platform or backend systems in the past week?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, there was a minor update to the transaction processing system. Impact on approach: If confirmed, we'd focus on the recent change as a primary suspect.

  • Considering the nature of expense management, I'm curious about the transaction volume trends. Has there been an unusual spike in transaction attempts compared to previous weeks?

Why it matters: Unusual activity could strain the system, leading to failures. Expected answer: Transaction volume is within normal range. Impact on approach: If volume is normal, we'd shift focus to internal system issues rather than capacity problems.

  • Given the criticality of financial transactions, I'm wondering about the error patterns. Are the failed transactions showing any consistent error messages or occurring at specific steps in the process?

Why it matters: Consistent error patterns can quickly narrow down the problem area. Expected answer: There's a recurring "timeout" error for a subset of transactions. Impact on approach: This would guide us to investigate network or database response times.

  • Considering the diverse user base of expense management platforms, I'm curious about the user segmentation. Is this issue affecting all users equally, or are certain types of users or companies experiencing higher failure rates?

Why it matters: Segmented issues often point to specific configuration or integration problems. Expected answer: The issue seems to affect users from larger enterprises more frequently. Impact on approach: We'd investigate enterprise-specific features or integrations as potential causes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025