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Product Management Improvement Question: Redesigning utility rate plans to shift energy consumption patterns
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Nextsprints

Updated Jan 22, 2025

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How might Exelon redesign its time-of-use rate plans to better incentivize customers to shift energy consumption to off-peak hours?

Product Improvement Hard Member-only
Product Strategy User Segmentation Pricing Analysis Utilities Energy Smart Home
Energy Management Behavioral Economics Rate Design Customer Incentives

Introduction

Exelon's challenge to redesign time-of-use rate plans to incentivize off-peak energy consumption is a critical opportunity to optimize grid efficiency and customer satisfaction. I'll approach this by analyzing user segments, identifying pain points, generating innovative solutions, and proposing metrics to measure success. Let's dive in.

Step 1

Clarifying Questions (5 mins)

  • Looking at the current energy landscape, I'm thinking about the diversity of Exelon's customer base. Could you provide more insight into the primary customer segments we're targeting with this redesign?

Why it matters: Different customer segments may have varying energy needs and flexibility, impacting our approach to incentives. Expected answer: A mix of residential and small business customers across urban and suburban areas. Impact on approach: Would tailor incentives and communication strategies for each segment.

  • Considering the push towards renewable energy, I'm curious about Exelon's current energy mix. What percentage of Exelon's energy comes from renewable sources, and how does this impact peak vs. off-peak availability?

Why it matters: The energy mix affects the potential for shifting consumption and the environmental impact of our incentives. Expected answer: 20-30% renewable, with higher availability during daytime hours. Impact on approach: Would focus on aligning incentives with renewable energy availability.

  • Given the increasing adoption of smart home devices, I'm wondering about the current penetration of smart meters in Exelon's customer base. What percentage of customers have smart meters installed, and what data granularity do they provide?

Why it matters: Smart meter data could enable more sophisticated and personalized incentive structures. Expected answer: 60-70% smart meter penetration, with hourly consumption data available. Impact on approach: Would leverage smart meter data for targeted incentives and real-time feedback.

  • Thinking about regulatory constraints, I'm curious about the flexibility Exelon has in designing rate structures. Are there any specific regulatory requirements or limitations we need to consider in this redesign?

Why it matters: Regulatory constraints could limit our options for innovative pricing structures. Expected answer: Some flexibility, but need approval for major changes and must ensure fairness across customer segments. Impact on approach: Would balance innovation with regulatory compliance and fairness considerations.

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