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

Exelon

How can we explain the sudden 20% increase in customer complaints about Exelon's online billing system in the past 30 days?

Prepared by NextSprints

12 mins
Report an error
Problem-Solving Data Analysis Customer Experience Management Utilities Energy Customer Service Root Cause Analysis Technical Troubleshooting Billing Systems Customer Complaints Utility Industry
Product Management Root Cause Analysis Question: Investigating sudden increase in utility billing complaints

Introduction

The sudden 20% increase in customer complaints about Exelon's online billing system over the past 30 days is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our product strategy.

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 have been a recent system update. Has there been any significant change to the billing system in the last 45-60 days?

Why it matters: System changes often precede customer issues. Expected answer: Yes, a major update was implemented. Impact on approach: If confirmed, we'd focus on post-update issues.

  • Considering the scale of the increase, I'm wondering about the nature of these complaints. Can you provide more details on the types of complaints we're seeing?

Why it matters: Different complaint types suggest different root causes. Expected answer: Complaints mainly about incorrect charges or system access issues. Impact on approach: This would guide our technical investigation.

  • Given the specificity of the 20% increase, I'm curious about our baseline. What's our normal complaint rate, and how is it measured?

Why it matters: Understanding the baseline helps quantify the issue's severity. Expected answer: Normal rate is X complaints per Y customers per month. Impact on approach: This would help prioritize the issue and set resolution targets.

  • Thinking about potential external factors, have there been any recent changes in energy rates or billing policies?

Why it matters: External changes could explain customer dissatisfaction. Expected answer: No significant external changes. Impact on approach: If confirmed, we'd focus more on internal factors.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025