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Product Management Root Cause Analysis Question: Investigating declining smart meter adoption rates for a utility company
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the 15% decline in Exelon's residential smart meter adoption rate over the past six months?

Data Analysis Problem Solving Strategic Thinking Utilities Energy Smart Home
Root Cause Analysis Data Privacy Customer Adoption Smart Meters Energy Tech

Introduction

The 15% decline in Exelon's residential smart meter adoption rate over the past six months is a concerning trend that requires immediate attention. To address this issue, 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 seasonal factors at play. Has this decline been consistent across all six months, or are there any noticeable patterns?

Why it matters: Seasonal trends could explain fluctuations and help us differentiate between cyclical changes and genuine adoption issues. Expected answer: The decline has been relatively steady, with a slight acceleration in the last two months. Impact on approach: A consistent decline would suggest systemic issues, while patterns might point to specific events or changes.

  • Considering user segments, I'm curious about the adoption rates across different demographics. Have you noticed any particular groups showing a more significant drop in adoption?

Why it matters: Identifying affected segments can help pinpoint specific barriers or issues for certain user groups. Expected answer: The decline is more pronounced among older homeowners and in suburban areas. Impact on approach: This would focus our investigation on potential usability issues or targeted marketing strategies for these segments.

  • Thinking about recent changes, have there been any significant updates to the smart meter technology or installation process in the past year?

Why it matters: Technical changes could impact user experience or perception of the product. Expected answer: A new firmware update was rolled out four months ago, and there were some changes to the installation process. Impact on approach: This would lead us to investigate potential technical issues or complications in the installation process.

  • Regarding market dynamics, has there been any shift in energy prices or policies that might affect consumer interest in smart meters?

Why it matters: External factors could influence the perceived value of smart meters for consumers. Expected answer: Energy prices have remained relatively stable, but there's been some public debate about data privacy related to smart meters. Impact on approach: This would prompt us to examine our communication strategy and how we address privacy concerns.

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