1. User Story: As a demand planner, I want a system that allows me to analyze customer satisfaction data in order to forecast future demand accurately.
Precondition: The system should have access to customer satisfaction data from various sources, such as surveys, feedback forms, and social media.
Post condition: The demand planner can generate accurate demand forecasts based on customer satisfaction data.
Potential business benefit: Improved demand planning and reduced stockouts or excess inventory.
Processes impacted: Demand forecasting, inventory management, and production planning.
User Story description: The demand planner needs a system that can integrate customer satisfaction data and analyze it to identify trends and patterns. This will help in making informed decisions about future demand and adjusting inventory levels accordingly.
Key Roles Involved: Demand planner, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, demand forecast data, inventory levels.
Key metrics involved: Customer satisfaction score, forecast accuracy, stockout rate.
2. User Story: As a sales representative, I want a mobile application that allows me to capture customer feedback and satisfaction ratings during sales visits.
Precondition: The mobile application should be compatible with different devices and have offline capabilities.
Post condition: Sales representatives can capture customer feedback and satisfaction ratings, which are automatically synced with the central system once an internet connection is available.
Potential business benefit: Real-time customer feedback for immediate action and improved customer satisfaction.
Processes impacted: Sales, customer relationship management.
User Story description: The sales representatives need a mobile application that enables them to collect customer feedback and satisfaction ratings during sales visits. This will help in identifying areas of improvement and addressing customer concerns promptly.
Key Roles Involved: Sales representative, IT specialist.
Data Objects description: Customer feedback data, satisfaction ratings, sales data.
Key metrics involved: Customer satisfaction score, sales conversion rate, customer retention rate.
3. User Story: As a customer service representative, I want a system that provides real-time access to customer satisfaction data and feedback.
Precondition: The system should integrate with various customer service channels, such as phone, email, and chat.
Post condition: Customer service representatives can access customer satisfaction data and feedback in real-time, enabling them to provide better support and address customer concerns effectively.
Potential business benefit: Improved customer service, higher customer satisfaction, and loyalty.
Processes impacted: Customer service, issue resolution.
User Story description: The customer service representatives need a system that allows them to access customer satisfaction data and feedback from different channels. This will enable them to understand customer needs and preferences, leading to more personalized and effective support.
Key Roles Involved: Customer service representative, IT specialist.
Data Objects description: Customer satisfaction data, feedback data, customer service records.
Key metrics involved: Average resolution time, customer satisfaction score, customer retention rate.
4. User Story: As a marketing manager, I want a system that can analyze customer satisfaction data to identify customer segments with specific preferences and needs.
Precondition: The system should have access to customer satisfaction data and demographic information.
Post condition: The marketing manager can identify customer segments with specific preferences and needs, allowing for targeted marketing campaigns and product development.
Potential business benefit: Improved marketing effectiveness, increased customer engagement, and loyalty.
Processes impacted: Market segmentation, product development, marketing campaigns.
User Story description: The marketing manager needs a system that can analyze customer satisfaction data and demographic information to identify customer segments with specific preferences and needs. This will help in tailoring marketing campaigns and developing products that cater to these segments.
Key Roles Involved: Marketing manager, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, demographic data, marketing campaign data.
Key metrics involved: Customer segmentation accuracy, campaign conversion rate, customer lifetime value.
5. User Story: As a supply chain manager, I want a system that can integrate customer satisfaction data with supply chain data to optimize inventory levels and reduce lead times.
Precondition: The system should have access to customer satisfaction data, sales data, and supply chain data.
Post condition: The supply chain manager can optimize inventory levels and reduce lead times based on customer satisfaction data and sales forecasts.
Potential business benefit: Improved supply chain efficiency, reduced costs, and improved customer satisfaction.
Processes impacted: Inventory management, procurement, production planning.
User Story description: The supply chain manager needs a system that can integrate customer satisfaction data, sales data, and supply chain data to optimize inventory levels and reduce lead times. This will help in meeting customer demand more efficiently and reducing costs associated with excess inventory or stockouts.
Key Roles Involved: Supply chain manager, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, sales data, supply chain data.
Key metrics involved: Inventory turnover ratio, stockout rate, on-time delivery performance.
6. User Story: As a product manager, I want a system that can analyze customer satisfaction data to identify product improvement opportunities.
Precondition: The system should have access to customer satisfaction data, product usage data, and feedback.
Post condition: The product manager can identify areas of improvement based on customer satisfaction data and feedback, leading to product enhancements and increased customer satisfaction.
Potential business benefit: Improved product quality, increased customer satisfaction, and loyalty.
Processes impacted: Product development, quality assurance, customer support.
User Story description: The product manager needs a system that can analyze customer satisfaction data, product usage data, and feedback to identify areas of improvement. This will help in making informed decisions about product enhancements and addressing customer concerns effectively.
Key Roles Involved: Product manager, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, product usage data, customer feedback.
Key metrics involved: Product satisfaction score, product defect rate, customer retention rate.
7. User Story: As a finance manager, I want a system that can analyze customer satisfaction data to assess the financial impact of customer satisfaction on the business.
Precondition: The system should have access to customer satisfaction data, sales data, and financial data.
Post condition: The finance manager can assess the financial impact of customer satisfaction on the business based on customer satisfaction data and sales performance.
Potential business benefit: Improved financial performance, increased customer loyalty, and retention.
Processes impacted: Financial analysis, budgeting, sales forecasting.
User Story description: The finance manager needs a system that can analyze customer satisfaction data, sales data, and financial data to assess the financial impact of customer satisfaction on the business. This will help in making informed decisions about budget allocation, sales forecasting, and overall financial planning.
Key Roles Involved: Finance manager, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, sales data, financial data.
Key metrics involved: Customer lifetime value, revenue per customer, profitability.
8. User Story: As a customer insights analyst, I want a system that can provide real-time dashboards and reports on customer satisfaction metrics.
Precondition: The system should have access to customer satisfaction data and be capable of generating real-time reports and dashboards.
Post condition: The customer insights analyst can access real-time dashboards and reports on customer satisfaction metrics, enabling data-driven decision making.
Potential business benefit: Improved customer insights, faster decision making, and increased customer satisfaction.
Processes impacted: Data analysis, reporting, decision making.
User Story description: The customer insights analyst needs a system that can provide real-time dashboards and reports on customer satisfaction metrics. This will help in monitoring customer satisfaction trends, identifying areas of improvement, and making data-driven decisions to enhance customer satisfaction.
Key Roles Involved: Customer insights analyst, IT specialist.
Data Objects description: Customer satisfaction data, dashboard reports, customer segmentation data.
Key metrics involved: Customer satisfaction score, Net Promoter Score (NPS), customer loyalty index.
9. User Story: As a business intelligence manager, I want a system that can integrate customer satisfaction data with other business data to provide a holistic view of customer behavior and preferences.
Precondition: The system should have access to customer satisfaction data, sales data, marketing data, and other relevant business data.
Post condition: The business intelligence manager can analyze integrated customer satisfaction data with other business data to gain insights into customer behavior and preferences.
Potential business benefit: Enhanced customer understanding, improved decision making, and increased customer satisfaction.
Processes impacted: Business intelligence analysis, reporting, decision making.
User Story description: The business intelligence manager needs a system that can integrate customer satisfaction data with other business data to provide a holistic view of customer behavior and preferences. This will help in gaining a deeper understanding of customer needs and preferences, leading to more targeted marketing campaigns and improved customer satisfaction.
Key Roles Involved: Business intelligence manager, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, sales data, marketing data, business performance data.
Key metrics involved: Customer segmentation accuracy, customer lifetime value, market share.
10. User Story: As a senior executive, I want a system that can provide executive-level dashboards and reports on customer satisfaction metrics and their impact on business performance.
Precondition: The system should have access to customer satisfaction data, financial data, and other relevant business data.
Post condition: Senior executives can access executive-level dashboards and reports on customer satisfaction metrics and their impact on business performance.
Potential business benefit: Improved strategic decision making, increased customer satisfaction, and financial performance.
Processes impacted: Strategic planning, performance management, decision making.
User Story description: Senior executives need a system that can provide executive-level dashboards and reports on customer satisfaction metrics and their impact on business performance. This will help in aligning strategic goals with customer satisfaction objectives, making informed decisions, and driving overall business performance.
Key Roles Involved: Senior executives, IT specialist, data analyst.
Data Objects description: Customer satisfaction data, financial data, executive dashboards.
Key metrics involved: Customer satisfaction score, revenue growth, profitability.