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)
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.
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.
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.
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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