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

Sendwave

How did Sendwave's customer support response time increase from 2 hours to 8 hours on average this quarter?

Prepared by NextSprints

12 mins
Report an error
Problem Solving Data Analysis Process Improvement Fintech Money Transfer Customer Service Product Metrics Fintech Root Cause Analysis Customer Support Response Time
Product Management Root Cause Analysis Question: Investigating increased customer support response time for a fintech company

Introduction

Sendwave's customer support response time increase from 2 to 8 hours this quarter represents a significant decline in service quality. I'll systematically analyze this issue to identify root causes and propose solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minute)

  • Considering the timing, I'm wondering if there were any major product updates or changes in customer support processes. Have there been any significant changes to Sendwave's product or support systems in the last quarter?

Why it matters: Recent changes could directly impact response times. Expected answer: Yes, there was a major product update. Impact on approach: If yes, I'd focus on change management and system adaptation.

  • Looking at the scale of increase, I'm thinking there might be a staffing issue. Has there been any significant change in the customer support team size or structure recently?

Why it matters: Staffing changes could explain the dramatic increase in response time. Expected answer: No major changes in team size or structure. Impact on approach: If no, I'd look more closely at process efficiency and ticket volume.

  • Given the specific metric, I'm curious about the nature of support requests. Has there been any shift in the types of customer inquiries or issues being reported?

Why it matters: Changes in request complexity could affect response times. Expected answer: Some increase in complex technical issues. Impact on approach: If yes, I'd focus on training and knowledge base improvements.

  • Considering potential system issues, I'm wondering about the reliability of the support ticketing system. Have there been any reported issues or outages with the customer support platform?

Why it matters: Technical problems could artificially inflate response times. Expected answer: No major system issues reported. Impact on approach: If no, I'd focus more on process and human factors.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025