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 .

Why has Just Eat Takeaway's customer support ticket resolution time increased from 2 hours to 6 hours on average this quarter?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Process Optimization Food Delivery E-commerce Customer Service Food Delivery Root Cause Analysis Customer Support Operational Efficiency
Product Management Root Cause Analysis Question: Investigating increased customer support resolution time for food delivery platform

Introduction

Just Eat Takeaway's customer support ticket resolution time increase from 2 to 6 hours on average this quarter is a critical issue that demands immediate attention. This significant slowdown in customer service efficiency could have far-reaching consequences for user satisfaction, retention, and overall business performance. 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 be a seasonal factor. Has there been a significant increase in order volume this quarter compared to previous quarters?

Why it matters: Seasonal spikes could overwhelm support systems. Expected answer: Yes, order volume has increased by 20%. Impact on approach: If confirmed, we'd need to focus on scaling support capabilities.

  • Considering potential system changes, have there been any recent updates to the customer support software or ticketing system?

Why it matters: Software changes could introduce bugs or inefficiencies. Expected answer: A new ticketing system was implemented last month. Impact on approach: If true, we'd need to investigate system-specific issues and potential rollback options.

  • Thinking about staffing, has there been any significant change in the customer support team size or structure recently?

Why it matters: Understaffing or reorganization could impact resolution times. Expected answer: The team size has remained stable, but there's been high turnover. Impact on approach: If confirmed, we'd focus on training and retention strategies.

  • Considering metric definition, has there been any change in how ticket resolution time is calculated or measured?

Why it matters: Changes in measurement could create false alarms. Expected answer: No changes in measurement methodology. Impact on approach: If unchanged, we can rule out measurement issues and focus on actual performance factors.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Nov 30, 2024