Enhanced Evaluation Management System with API-Driven Architecture

The client currently relies on a legacy evaluation system that is unstable, difficult to refactor, and costly to maintain. The system's architecture limits the addition of new features, and attempts to upgrade or rebuild the codebase have been constrained by time, budget, and existing system complexity. As a result, the client struggles with timely deployment of enhancements, evaluator accountability, and biased decision-making, impacting overall decision quality and operational efficiency.

A mid-sized organization specializing in decision-making tools and evaluation systems, seeking to improve system stability, scalability, and feature extensibility.

• Rebuild critical system components with a modular, maintainable architecture to support current and future feature development.
• Implement an API-driven interface to enable new functionalities while maintaining compatibility with legacy code.
• Increase evaluator accountability and fairness through transparent organization of evaluation criteria.
• Reduce system downtime and improve performance, scalability, and stability.
• Enhance user experience with intuitive UI/UX design tailored to complex evaluation workflows.
• Ensure secure integration with existing data sources and external evaluation tools.

• API interfaces enabling interaction between new evaluation modules and legacy codebase.
• Modular system architecture supporting incremental updates and future scalability.
• Tools for surfacing and organizing hidden evaluation criteria to enhance evaluator accountability.
• User interface components for intuitive feedback collection and decision documentation.
• Security features to protect sensitive evaluation data.
• Mechanisms for bias reduction and fair decision-making processes.

• Legacy evaluation software via API endpoints
• Authentication and user management systems
• Data storage and retrieval systems for evaluation records
• External feedback and assessment tools

• System availability of 99.9% uptime
• Responsive UI with fast load times (under 2 seconds for key interactions)
• Secure data encryption at rest and in transit
• Scalability to handle increased evaluation volume as client grows

The new evaluation system aims to significantly improve decision-making accuracy and evaluator accountability, reduce maintenance costs due to a modular, maintainable architecture, and enable seamless addition of new features via APIs. Expected outcomes include faster deployment of evaluation features, enhanced system stability, and more transparent, bias-reduced assessments, ultimately supporting organizational growth and operational excellence.