How might Duke Energy enhance its outage reporting system to provide more accurate restoration time estimates?

Introduction

Duke Energy's outage reporting system plays a crucial role in customer satisfaction and operational efficiency. Enhancing this system to provide more accurate restoration time estimates is a strategic initiative that could significantly impact both customer experience and resource allocation. I'll approach this challenge by analyzing user segments, identifying pain points, generating innovative solutions, and proposing a roadmap for implementation.

Step 1

Clarifying Questions

• Looking at the product context, I'm thinking about the current accuracy of restoration time estimates. Could you share some data on the average deviation between estimated and actual restoration times?

Why it matters: This helps quantify the problem and set benchmarks for improvement. Expected answer: Estimates are off by an average of 2-3 hours. Impact on approach: A large deviation would prioritize fundamental changes to the estimation algorithm.

• Considering user behavior, I'm curious about how customers currently interact with the outage reporting system. What percentage of reports come through various channels like mobile app, website, or phone calls?

Why it matters: Identifies the most critical touchpoints for improvement. Expected answer: 50% mobile app, 30% website, 20% phone calls. Impact on approach: Would focus on enhancing the dominant channels first.

• Regarding external factors, I'm wondering about the impact of extreme weather events on restoration time accuracy. How do major storms affect the system's performance compared to regular conditions?

Why it matters: Helps determine if we need separate strategies for different scenarios. Expected answer: Accuracy drops by 40% during major weather events. Impact on approach: Might lead to developing a specialized algorithm for extreme conditions.

• Thinking about company alignment, I'd like to understand the broader objectives. How does improving restoration time estimates tie into Duke Energy's overall customer satisfaction and operational efficiency goals?

Why it matters: Ensures our solution aligns with company-wide strategies. Expected answer: It's a top priority, aiming to increase customer satisfaction scores by 15%. Impact on approach: Would emphasize customer-centric features and clear communication.