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

Oxa

What caused the sudden 30% increase in customer support tickets for Oxa's food delivery app last week?

Prepared by NextSprints

12 mins
Report an error
Problem Solving Data Analysis User Experience Design Food Delivery Mobile Apps E-commerce User Experience Food Delivery Root Cause Analysis Customer Support App Performance
Product Management Root Cause Analysis Question: Investigating sudden increase in food delivery app support tickets

Introduction

A sudden 30% increase in customer support tickets for Oxa's food delivery app is a significant issue that demands immediate attention and thorough analysis. This spike could indicate underlying problems affecting user experience, potentially impacting customer retention and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

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 app update. Has there been any significant changes or updates to the app in the past week?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, a minor update was released. Impact on approach: If confirmed, I'd focus on changes introduced in the update.

  • Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific user group or spread across all users?

Why it matters: Helps identify if the issue is localized or widespread. Expected answer: Tickets are primarily from new users. Impact on approach: If true, I'd investigate onboarding processes and new user experiences.

  • Thinking about the nature of support tickets, I wonder about the most common issues reported. What are the top 3 categories of complaints in these tickets?

Why it matters: Reveals the specific areas causing user frustration. Expected answer: App crashes, order tracking issues, and payment problems. Impact on approach: Would guide my focus on technical, UX, or backend issues.

  • Considering external factors, I'm wondering about any recent marketing campaigns or promotions. Have there been any significant promotional activities in the past week?

Why it matters: Sudden user influx can strain systems and lead to support issues. Expected answer: A major discount campaign was launched recently. Impact on approach: If confirmed, I'd investigate scalability and capacity issues.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025