Ensuring Robust Quality Assurance for Applied Intuition’s NDA Automation Platform

NextGen Coding Company implemented a QA strategy focused on functional and manual testing to thoroughly validate the NDA automation platform’s reliability, accuracy, and user experience.

Front-End Workflow Testing:

• Each user interaction, such as uploading NDA documents, viewing extracted data, and exporting results to CSV files, was rigorously tested to ensure seamless functionality.
• Functional test cases validated the system's ability to handle various document types, including NDAs with complex formatting, multi-party agreements, and clauses spread across sections.
• Validation checks ensured that uploaded files, regardless of format or size, were processed accurately. These tests helped confirm that the system correctly displayed fields like confidentiality periods, termination dates, and marking requirements.

End-to-End Workflow Validation:

• Using manual functional testing methodologies, workflows were assessed to ensure smooth transitions between stages, such as document upload, field mapping, and data export.
• Complex scenarios, such as NDAs with overlapping clauses or missing termination dates, were tested to verify that the system provided logical and accurate outputs.

Exploratory Testing for Edge Cases:

• The QA team manually tested edge cases where NDAs contained unusual clause structures, non-standard date formats, or ambiguous language. This ensured the system could process these documents without manual intervention.
• Multi-party NDAs and third-party agreements with unique templates were scrutinized to ensure data was extracted correctly and reconciled accurately.

Usability and Accessibility Testing:

• The platform’s user interface was manually tested for intuitiveness and efficiency, focusing on tasks like uploading NDAs and reviewing extracted data.
• Accessibility features were validated against WCAG 2.1 standards, ensuring inclusivity for all users, including those requiring assistive technologies like screen readers.

Compliance Verification:

• Data workflows were tested manually to ensure compliance with GDPR and CCPA. Special attention was given to secure handling of personal data and adherence to encryption standards during processing and export.

The meticulous QA strategy delivered substantial improvements to the platform’s functionality, accuracy, and scalability, ensuring Applied Intuition’s confidence in its reliability and compliance.

Improved Data Accuracy and Processing

• The platform achieved an accuracy rate of 98% in extracting and validating NDA fields, including complex clauses and date calculations. This minimized the risk of errors and ensured reliable outputs for decision-making.
• Automated data validation scripts reduced the time required for manual cross-checking by over 60%, enabling faster turnaround times for document processing.

Enhanced User Experience and Accessibility

• Usability testing resulted in significant improvements to the platform’s interface, reducing the number of user actions required for key workflows by 30%.
• Accessibility enhancements ensured compliance with WCAG 2.1, making the platform more inclusive and usable for diverse audiences.

Optimized Performance and Scalability

• Load testing confirmed that the platform could handle a 50% increase in document volume without performance degradation. This scalability positioned the system for future growth and higher usage demands.
• Real-time monitoring with New Relic allowed for proactive identification of potential issues, ensuring high availability and performance continuity.

Achieved Compliance and Security Standards

• Rigorous testing validated the platform’s compliance with GDPR, CCPA, and internal data governance policies. Encryption protocols and secure handling of sensitive data enhanced stakeholder trust.
• Security penetration testing eliminated vulnerabilities, ensuring the platform’s resilience against potential cyber threats.

Streamlined Deployment Processes

• CI/CD pipeline integration reduced deployment timelines by 30%, enabling faster delivery of updates and new features. Automated QA workflows ensured that every deployment maintained high quality standards.

NextGen Coding Company’s comprehensive QA process not only validated the NDA platform’s functionality but also enhanced its scalability, usability, and compliance. This project stands as a benchmark for quality assurance in AI-powered document processing systems.