“Customer Satisfaction” – User Story Backlog – Catering “First Call Resolution (FCR)”

1. User Story: As a customer, I want my issue to be resolved in the first call so that I don’t have to contact support multiple times.
– Precondition: Customer has an issue and contacts support.
– Post condition: Customer’s issue is resolved in the first call.
– Potential business benefit: Increased customer satisfaction and reduced support costs.
– Processes impacted: Customer support, call handling, and issue resolution.
– User Story description: The customer wants their issue to be resolved in the first call to avoid the hassle of contacting support multiple times. They expect efficient and effective support from the agent.
– Key Roles Involved: Customer, support agent.
– Data Objects description: Customer’s issue details, support agent’s resolution notes.
– Key metrics involved: First call resolution rate, customer satisfaction rating.

2. User Story: As a support agent, I want access to a comprehensive knowledge base so that I can quickly resolve customer issues.
– Precondition: Support agent receives a customer call.
– Post condition: Support agent resolves the customer’s issue using the knowledge base.
– Potential business benefit: Improved first call resolution rate and reduced average handling time.
– Processes impacted: Knowledge management, issue resolution.
– User Story description: The support agent needs a comprehensive knowledge base with up-to-date information to provide accurate solutions to customer issues. They require easy access to relevant articles and troubleshooting guides.
– Key Roles Involved: Support agent, knowledge management team.
– Data Objects description: Knowledge base articles, troubleshooting guides.
– Key metrics involved: First call resolution rate, average handling time.

3. User Story: As a customer, I want self-service options available so that I can resolve simple issues on my own.
– Precondition: Customer encounters a simple issue.
– Post condition: Customer resolves the issue using self-service options.
– Potential business benefit: Reduced support ticket volume and improved customer satisfaction.
– Processes impacted: Self-service portal, issue resolution.
– User Story description: The customer prefers to resolve simple issues on their own without having to contact support. They expect a user-friendly self-service portal with clear instructions and troubleshooting steps.
– Key Roles Involved: Customer, self-service portal team.
– Data Objects description: Self-service portal content, customer’s issue details.
– Key metrics involved: Self-service usage rate, support ticket volume.

4. User Story: As a support manager, I want to track and analyze customer feedback to identify areas for improvement.
– Precondition: Customer provides feedback after issue resolution.
– Post condition: Support manager gathers and analyzes customer feedback.
– Potential business benefit: Improved support processes and increased customer satisfaction.
– Processes impacted: Feedback collection, analysis, and process improvement.
– User Story description: The support manager needs to collect and analyze customer feedback to identify patterns and areas for improvement. They require a system to track feedback and generate reports for analysis.
– Key Roles Involved: Support manager, feedback collection team.
– Data Objects description: Customer feedback data, analysis reports.
– Key metrics involved: Customer satisfaction rating, feedback response rate.

5. User Story: As a customer, I want to be kept informed about the progress of my support ticket so that I know when to expect a resolution.
– Precondition: Customer submits a support ticket.
– Post condition: Customer receives regular updates on the ticket status.
– Potential business benefit: Improved customer satisfaction and reduced customer inquiries.
– Processes impacted: Ticket management, customer communication.
– User Story description: The customer wants to be informed about the progress of their support ticket to avoid uncertainty. They expect timely updates on the ticket status and estimated resolution time.
– Key Roles Involved: Customer, support agent.
– Data Objects description: Support ticket details, ticket status updates.
– Key metrics involved: Ticket response time, customer satisfaction rating.

6. User Story: As a support agent, I want access to customer history and previous interactions to provide personalized support.
– Precondition: Support agent receives a customer call or ticket.
– Post condition: Support agent has access to customer history and previous interactions.
– Potential business benefit: Improved customer experience and increased first call resolution rate.
– Processes impacted: Customer data management, issue resolution.
– User Story description: The support agent needs access to customer history and previous interactions to provide personalized support. They require a system that stores and retrieves customer data efficiently.
– Key Roles Involved: Support agent, customer data management team.
– Data Objects description: Customer profile, interaction logs.
– Key metrics involved: First call resolution rate, customer satisfaction rating.

7. User Story: As a customer, I want the option to provide feedback after issue resolution so that my voice is heard.
– Precondition: Customer’s issue is resolved.
– Post condition: Customer provides feedback on the support experience.
– Potential business benefit: Improved support processes and increased customer satisfaction.
– Processes impacted: Feedback collection, analysis, and process improvement.
– User Story description: The customer wants the option to provide feedback on their support experience to share their thoughts and suggestions. They expect a user-friendly feedback mechanism.
– Key Roles Involved: Customer, feedback collection team.
– Data Objects description: Customer feedback data, analysis reports.
– Key metrics involved: Customer satisfaction rating, feedback response rate.

8. User Story: As a support manager, I want to monitor and analyze customer support interactions to identify training needs for agents.
– Precondition: Support agents handle customer interactions.
– Post condition: Support manager gathers and analyzes interaction data.
– Potential business benefit: Improved agent performance and increased first call resolution rate.
– Processes impacted: Interaction monitoring, analysis, and training.
– User Story description: The support manager needs to monitor and analyze customer support interactions to identify areas where agents may require additional training. They require a system to capture interaction data and generate reports for analysis.
– Key Roles Involved: Support manager, interaction monitoring team.
– Data Objects description: Interaction data, analysis reports.
– Key metrics involved: First call resolution rate, agent performance rating.

9. User Story: As a support agent, I want access to real-time customer data to provide personalized and efficient support.
– Precondition: Support agent handles a customer interaction.
– Post condition: Support agent has access to real-time customer data.
– Potential business benefit: Improved customer experience and increased first call resolution rate.
– Processes impacted: Real-time data integration, issue resolution.
– User Story description: The support agent needs access to real-time customer data, such as recent purchases or account information, to provide personalized support. They require seamless integration between support systems and customer data sources.
– Key Roles Involved: Support agent, data integration team.
– Data Objects description: Real-time customer data, interaction details.
– Key metrics involved: First call resolution rate, customer satisfaction rating.

10. User Story: As a support manager, I want to implement a customer satisfaction survey to measure and improve support performance.
– Precondition: Support interaction is completed.
– Post condition: Customer receives a satisfaction survey.
– Potential business benefit: Improved support processes and increased customer satisfaction.
– Processes impacted: Survey implementation, feedback collection, and analysis.
– User Story description: The support manager wants to implement a customer satisfaction survey to gather feedback on the support experience. They require a user-friendly survey tool and a process to collect and analyze survey responses.
– Key Roles Involved: Support manager, survey implementation team.
– Data Objects description: Customer satisfaction survey, survey responses.
– Key metrics involved: Customer satisfaction rating, survey response rate.

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