Georgia Power – Virtual Assistant Customer Service
The Georgia Power Virtual Assistant was designed to redefine customer service in the utility sector by delivering fast, efficient, and user-centered solutions. By integrating conversational AI, we aimed to empower customers to take control of their accounts with ease, while reducing operational overhead for Georgia Power.
Client: Georgia Power
Platforms: Web
Role: Lead Product Designer & Manager
Design Team: 2 UX Designers
Client Team: Stakeholders, Engineering Team, Data Scientists, AI/ML Engineers and SMEs
Time Frame: 3 Months
**View the final designs and project outcomes by scrolling to the bottom of the screen.
Context
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Operational and Geographic Context: Serving millions of customers in the southeastern United States, Georgia Power delivers scalable solutions tailored to regional and industry-specific preferences.
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Residential Customers: Homeowners and renters prioritize user-friendly, self-service tools for billing, outages, and energy usage while seeking actionable insights into reducing energy consumption.
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Business Customers: Businesses, from small enterprises to large corporations, require systems that effectively manage multiple accounts, ensure uninterrupted service, and provide insights into energy-saving strategies.
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Technological Landscape and Platform Vision: Increasing reliance on digital platforms underscores the need for a seamless, multi-device experience that integrates customer feedback and energy industry trends.
Problem
Customer Impact:
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Dissatisfaction with Support: Long wait times created frustration and reduced customer trust.
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Complex Processes: Disjointed systems made it difficult for customers to navigate billing, service disruptions, and account updates effectively.
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Limited Accessibility: A lack of self-service tools, digital literacy barriers, and inconsistent functionality across devices hindered customer independence.
Business Impact:
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Operational Inefficiencies: Manual workflows and fragmented systems, including data silos, increased costs and slowed response times.
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Limited Scalability: The existing infrastructure could not handle increasing customer interactions, leading to delays and reduced service quality.
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Reputation Risks: Inefficient service and unresolved issues eroded customer trust and loyalty, threatening the company’s brand reputation.
Objective
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Enhance Customer Experience: Develop a user-friendly platform to reduce frustration and improve satisfaction through faster, more efficient support.
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Streamline Processes: Simplify workflows for billing, service requests, and account updates, creating a seamless user journey.
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Increase Accessibility: Provide intuitive self-service tools and ensure functionality across all devices, catering to diverse customer needs.
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Improve Operational Efficiency: Automate repetitive tasks, reduce costs, and optimize resource allocation to enhance service quality.
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Strengthen Scalability and Trust: Build a robust infrastructure capable of handling increased interactions while reinforcing customer trust and loyalty through reliable and transparent communication.
1. EMPATHIZE
Tasks:
- Reviewed stakeholder requirements
- Educated on current news industry and competitive landscape
- Conducted interviews with customers and stakeholders
Reviewed Stakeholder Requirements
Key Findings:
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Financial and Operational Impact: Achieve cost savings and streamline workflows through automation while enhancing scalability to accommodate growing demand and optimize resource allocation.
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Enhanced Customer Experience: Improve satisfaction by resolving key pain points like wait times, inconsistent communication, and complex workflows, with an emphasis on real-time updates and trust-building interactions.
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Seamless Integration: Ensure the platform integrates smoothly with existing systems, such as billing, service management, and outage reporting tools, to maintain continuity and reliability.
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Data Security and Compliance: Prioritize robust data protection measures and ensure compliance with industry regulations to safeguard customer information and maintain trust.
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Future-Proofing: Design the platform with flexibility and scalability to adapt to evolving technologies and changing customer needs, ensuring long-term viability.
Conducted Interviews
Customers
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Key Pain Points: Customers expressed frustration with long wait times, inconsistent communication, and the lack of intuitive self-service tools for billing and outage updates.
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Communication Preferences: A majority of customers preferred digital platforms for support, particularly mobile apps and websites, while emphasizing the need for clear, real-time updates.
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Tool Limitations: Current systems were described as outdated and cumbersome, with navigation issues and limited options for resolving queries independently.
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Feature Expectations: Customers prioritized features like real-time outage alerts, seamless bill payment options, and detailed energy usage insights to better manage their accounts.
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Trust and Transparency: Building trust was crucial, with customers valuing transparent communication about service disruptions and prompt resolutions to their issues.
Stakeholders
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Strategic Objectives: Stakeholders highlighted the need to enhance customer satisfaction, reduce operational costs, and improve service scalability.
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Integration Challenges: Concerns were raised about integrating the platform with existing systems like billing databases and outage reporting tools.
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Success Metrics: Key performance indicators included reducing customer call volumes, increasing self-service adoption rates, and achieving faster resolution times.
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Business Alignment: The platform was expected to align with long-term strategies, including the adoption of AI-driven tools and improving data-driven decision-making.
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Prototyping Insights: Stakeholders emphasized the importance of testing early prototypes with real users to refine functionality and ensure technical feasibility.
“I just want a simple way to check my bill, pay it, and get updates if there’s an outage—without having to wait on hold or dig through the website.”
2. CONCEPTUALIZE
Tasks:
- Developed User Personas
- Conducted Foundational & Exploratory Research
- Created Sketches and Wireframes
Developed User Personas
3. DESIGN
Tasks:
- Developed Prototype
- Conducted User Testing
- Build High-Fidelity Designs
Developed Prototypes & Conducted User Testing
To evaluate the Virtual Assistant’s design and functionality, a combination of testing methods was employed. Moderated and unmoderated usability tests captured real-time feedback on tasks like billing, service orders, and outage reporting, while card sorting validated the platform’s information architecture. Scenario-based tests simulated real-world interactions, and hybrid testing balanced observation with scalability. Feedback sessions provided qualitative insights into user preferences and frustrations, ensuring a comprehensive understanding of user needs.
Billing and Payments:
- Findings: Users found bill payment straightforward when using predefined paths, but many expressed a desire for clearer real-time confirmations.
- Opportunity: Adding visual confirmations and summaries improved user confidence in completing payment tasks.
Outage Reporting and Alerts:
- Findings: Real-time updates on outages were highly valued, but users often expected more immediate information within the chatbot rather than being redirected to external pages.
- Opportunity: Enhancing the chatbot’s ability to provide actionable, direct responses for outage-related queries improved user satisfaction and trust.
Account Management:
- Findings: Tasks like resetting passwords and retrieving usernames were common pain points due to unclear prompts or slow processes.
- Opportunity: Simplifying login assistance workflows and providing proactive guidance significantly reduced user frustration.
Energy Usage and Efficiency:
- Finding: Users appreciated tools for monitoring energy consumption but wanted more personalized insights tailored to their usage patterns.
- Opportunity: Incorporating actionable energy-saving tips and usage comparisons made the experience more engaging and practical.
Shared Insights Across Features:
- Accessibility Gaps: Users emphasized the need for a unified experience across mobile and desktop platforms.
- Communication Clarity: Clearer prompts, success indicators, and follow-up steps significantly improved task completion rates.
- Scalability Needs: Business users highlighted the importance of managing multiple accounts with minimal manual effort.
PROJECT OUTCOMES
Key performance indicators (KPIs) are based on 3 months of user data collected from company analytics.
Customer Impact:
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45% Faster Resolutions: Reduced wait times and streamlined workflows allowed customers to complete tasks like bill payments and outage reporting more efficiently.
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4.7/5 Customer Satisfaction: Users praised the platform for its intuitive design and personalized energy-saving recommendations.
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59% Increase in Self-Service Adoption: Transitioning users to self-service tools significantly reduced dependence on call centers.
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62% of Users Valued Real-Time Updates: Access to real-time billing and outage information improved trust and reduced frustration during service disruptions.
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41% of Customers Acted on Personalized Energy Insights: Tailored recommendations empowered users to make smarter energy choices and save on costs.
Business Impact:
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23% Reduction in Operational Costs: Automating repetitive tasks decreased the workload on support teams and saved resources.
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46% Increase in Scalability: The Virtual Assistant efficiently handled a growing number of customer interactions without impacting response times.
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28% Decrease in Call Center Volume: Self-service adoption significantly reduced the need for live support, freeing up resources for complex issues.
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62% Retention Rate Among Users: Enhanced satisfaction and trust in the platform contributed to higher customer loyalty.
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71% of Business Units Leveraged Analytics: Insights from the platform informed continuous improvements and future strategies.
KNOWLEDGE GAINED
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Empathy-Driven Design: Understanding customer frustrations with disjointed systems and long wait times emphasized the need for real-time updates and streamlined workflows in similar future projects.
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Scalability through Automation: Automating repetitive tasks, such as outage reporting and payment processing, showcased how scalable solutions can reduce operational strain and improve service delivery.
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Data-Informed Iterations: Analytics from user interactions revealed actionable insights, such as prioritizing self-service tools and real-time communication, demonstrating the value of data-driven refinement.
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Integrated System Challenges: Addressing integration complexities with legacy billing and service systems highlighted the importance of planning for technical constraints in future implementations.
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Context-Specific Testing: Conducting scenario-based usability tests, such as for outage alerts and account management, reinforced the value of tailoring testing methods to specific use cases for more accurate insights.