Functional requirements of Survey Analysis System with non-functional

Functional Requirements

1. User Authentication and Authorization
   • Secure Login: Provide secure registration, login, and account management for survey administrators, analysts, and respondents.
   • Role-Based Access: Implement role-based access controls to manage permissions based on user roles (e.g., survey creator, respondent, data analyst).
2. Survey Creation and Management
   • Survey Design: Allow users to create and design surveys with various question types (e.g., multiple choice, text, rating scales).
   • Question Management: Provide tools for adding, editing, and organizing survey questions.
   • Survey Distribution: Enable distribution of surveys via multiple channels (e.g., email, web links, mobile apps).
3. Data Collection and Storage
   • Response Collection: Collect survey responses in real-time and store them securely.
   • Data Validation: Implement validation rules to ensure data accuracy and consistency during collection.
4. Response Analysis
   • Data Aggregation: Aggregate and organize survey responses for analysis.
   • Statistical Analysis: Perform statistical analysis on survey data, including mean, median, mode, standard deviation, and correlation.
   • Data Segmentation: Segment data based on various criteria (e.g., demographics, response patterns) for more detailed analysis.
5. Reporting and Visualization
   • Custom Reports: Generate custom reports on survey results, including summary statistics and detailed breakdowns.
   • Data Visualization: Provide interactive visualizations such as charts, graphs, and heatmaps to represent survey data.
   • Export Options: Allow exporting of reports and data in various formats (e.g., PDF, Excel, CSV).
6. Survey Results Interpretation
   • Insight Generation: Provide tools for interpreting survey results and generating actionable insights.
   • Trend Analysis: Analyze trends over time and identify significant changes or patterns in survey responses.
7. Notification and Alerts
   • Survey Reminders: Send reminders to respondents about incomplete surveys or upcoming deadlines.
   • Alerts: Notify administrators of critical issues such as low response rates or data anomalies.
8. User Interface and Experience
   • Intuitive UI: Design an intuitive and user-friendly interface for survey creation, response management, and data analysis.
   • Responsive Design: Ensure the system is accessible on various devices (e.g., desktops, tablets, mobile phones).
9. Integration with Other Systems
   • Data Integration: Integrate with other systems (e.g., CRM, ERP) to synchronize survey data and enhance analysis.
   • API Access: Provide API access for integrating survey data with external applications or services.
10. Survey Lifecycle Management
    • Survey Archiving: Archive completed surveys and responses for future reference or analysis.
    • Version Control: Manage different versions of surveys and track changes over time.

Non-Functional Requirements

1. Performance
   • Real-Time Processing: Ensure the system can handle and process survey data in real-time or near-real-time.
   • Response Times: Provide quick response times for data retrieval, analysis, and report generation.
2. Scalability
   • Data Scalability: Scale the system to accommodate increasing volumes of survey responses and data.
   • User Scalability: Support a growing number of users, including survey creators, respondents, and analysts.
3. Availability
   • High Availability: Ensure high availability with minimal downtime (e.g., 99.9% uptime) to maintain continuous operations.
   • Disaster Recovery: Implement disaster recovery and backup solutions to protect data and ensure system continuity.
4. Security
   • Data Protection: Secure survey data and user information through encryption and secure access controls.
   • Compliance: Adhere to data protection regulations and standards (e.g., GDPR, HIPAA) to ensure privacy and security.
5. Usability
   • User Interface: Design a user-friendly and intuitive interface for ease of use and navigation.
   • Accessibility: Ensure the system is accessible to users with disabilities and provides a consistent experience across devices.
6. Compatibility
   • Cross-Platform Support: Ensure compatibility with various devices and operating systems.
   • Browser Compatibility: Support major web browsers to ensure accessibility for all users.
7. Maintainability
   • Modular Design: Maintain a modular and well-documented codebase to facilitate updates and maintenance.
   • Automated Testing: Implement automated testing and continuous integration practices to ensure system stability.
8. Reliability
   • Error Handling: Provide robust error handling and recovery mechanisms to minimize system errors and downtime.
   • Monitoring: Implement monitoring tools to detect and address issues proactively.
9. Compliance
   • Regulatory Compliance: Ensure compliance with relevant data protection regulations and industry standards.
   • Data Privacy: Adhere to data privacy regulations and best practices to protect respondent information.
10. Efficiency
    • Resource Optimization: Optimize resource usage (e.g., memory, processing power) to ensure efficient operation and cost-effectiveness.
    • Data Processing: Implement efficient data processing and storage practices to handle large volumes of survey data.