Functional requirements of Online Recruitment System with non-functional

Functional Requirements

  1. User Management
    • User Accounts: Allow different types of users (e.g., recruiters, hiring managers, job applicants, system administrators) to create and manage accounts.
    • Role-Based Access Control: Define and manage roles and permissions to control access to various system features and data.
    • Profile Management: Enable users to create, update, and manage their profiles, including contact information and resume/CV.
  2. Job Posting and Management
    • Job Creation: Allow recruiters and hiring managers to create and post job openings, including job descriptions, requirements, and application deadlines.
    • Job Editing: Enable users to edit and update job postings as needed.
    • Job Listing: Display a list of available job openings with search and filter options for job seekers.
  3. Application Management
    • Online Application Form: Provide a form for candidates to submit their applications online, including fields for personal details, work experience, and education.
    • Resume Upload: Allow candidates to upload their resumes/CVs and cover letters.
    • Application Tracking: Track the status of applications, including received, reviewed, shortlisted, and rejected.
  4. Candidate Screening
    • Automated Screening: Implement tools for automated screening based on keywords, qualifications, and predefined criteria.
    • Manual Review: Allow recruiters and hiring managers to manually review and assess candidate applications and resumes.
    • Screening Questions: Include custom screening questions to help evaluate candidates’ qualifications.
  5. Interview Scheduling
    • Interview Setup: Enable recruiters and hiring managers to schedule interviews with candidates, specifying date, time, and format (e.g., in-person, video call).
    • Calendar Integration: Integrate with calendar systems (e.g., Google Calendar, Microsoft Outlook) to synchronize interview schedules.
    • Notification and Reminders: Send automated notifications and reminders to candidates and interviewers about upcoming interviews.
  6. Communication Management
    • Email Communication: Provide templates and tools for sending emails to candidates regarding application status, interview invitations, and offer letters.
    • In-System Messaging: Offer an internal messaging system for communication between recruiters, hiring managers, and candidates.
  7. Reporting and Analytics
    • Recruitment Metrics: Generate reports on key metrics such as time-to-fill, cost-per-hire, and candidate sources.
    • Application Status Reports: Provide reports on the status and progress of applications and recruitment processes.
    • Candidate Demographics: Analyze candidate demographics and sources for strategic insights.
  8. Compliance and Documentation
    • Data Retention: Manage and retain recruitment data in compliance with legal and regulatory requirements.
    • Audit Trails: Maintain logs of system activities and changes for auditing purposes.
  9. Integration
    • HR Systems Integration: Integrate with Human Resource Management Systems (HRMS) and Applicant Tracking Systems (ATS) for seamless data exchange.
    • Job Boards Integration: Connect with job boards and social media platforms for posting job openings and sourcing candidates.
    • Background Check Integration: Integrate with background check services to streamline candidate screening.
  10. User Support
    • Help Desk: Provide support through helpdesk tickets, live chat, or email.
    • Documentation: Offer user guides, FAQs, and system manuals to assist users with system navigation and troubleshooting.

Non-Functional Requirements

  1. Performance
    • Response Time: Ensure quick response times for job posting, application submission, and search queries.
    • Scalability: Design the system to handle increasing numbers of users, job postings, and applications without performance issues.
  2. Reliability
    • Uptime: Aim for high system availability with minimal downtime (e.g., 99.9% uptime).
    • Error Handling: Implement robust error detection and recovery mechanisms to maintain system stability.
  3. Security
    • Data Encryption: Use encryption to protect sensitive data, including candidate information and application details, during transmission and storage.
    • Authentication and Authorization: Implement strong authentication mechanisms and strict authorization controls to prevent unauthorized access.
    • Compliance: Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA) and industry standards.
  4. Usability
    • User Interface: Design an intuitive and user-friendly interface for ease of navigation by all types of users.
    • Accessibility: Ensure the system is accessible to users with disabilities, complying with standards such as WCAG (Web Content Accessibility Guidelines).
  5. Compatibility
    • Device Compatibility: Ensure the system is accessible across various devices, including desktops, tablets, and smartphones.
    • Browser Compatibility: Support major web browsers to accommodate different user preferences.
  6. Maintainability
    • Code Quality: Develop clean, well-documented code to facilitate maintenance and future updates.
    • Modular Design: Use a modular architecture to allow for easy enhancements and scalability.
  7. Backup and Recovery
    • Data Backup: Implement regular automated backups to prevent data loss and ensure data integrity.
    • Disaster Recovery: Develop and test a disaster recovery plan to restore system functionality in case of major failures.
  8. Support and Documentation
    • Help Desk: Provide support through helpdesk tickets, live chat, or email.
    • Documentation: Offer comprehensive user guides, system manuals, and troubleshooting documentation.
  9. Scalability
    • System Growth: Design the system to accommodate future expansion, including additional features, users, and increased application volumes.
    • Load Handling: Ensure the system can manage varying loads and peak usage times effectively.
  10. Data Integrity
    • Accuracy: Ensure that all data entered and processed by the system is accurate and consistent.
    • Validation: Implement data validation rules to prevent incorrect or incomplete data entry.

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top