The AIIMS Gateway
Improving clarity and accountability in a mission-critical government system serving 17,000 AIIMS Delhi employees.
Project Overview
Redesigned the AIIMS Delhi HRFMS, a high-stakes legacy system managing payroll and records for 17,000+ staff. Completed as a live brief under C-DAC Noida, the project transformed a cognitively overwhelming, error-prone interface into a streamlined, high-clarity tool for non-technical users.
My Role
UX Research, Information Architecture, Interaction Design, and High-Fidelity UI.
Design Approach
Cognitive Load Reduction: Shifted from "memorization" to "recognition" by surfacing primary actions and streamlining navigation.
Systemic Consistency: Standardized complex modules to ensure legacy data remained readable while maintaining strict compliance.
Precision-First Design: Optimized high-risk financial touchpoints to minimize data entry errors and increase operational safety.
Strategic Prioritization: Favored clarity over feature bloat to prevent user overwhelm within existing backend constraints.
Final Outcome
A high-fidelity interface that significantly improved data scannability and reduced training dependency. Success was validated through staff walkthroughs, confirming that critical actions are now more obvious and safer to execute.
Project Overview
Redesigned the AIIMS Delhi HRFMS, a high-stakes legacy system managing payroll and records for 17,000+ staff. Completed as a live brief under C-DAC Noida, the project transformed a cognitively overwhelming, error-prone interface into a streamlined, high-clarity tool for non-technical users.
My Role
UX Research, Information Architecture, Interaction Design, and High-Fidelity UI.
Design Approach
Cognitive Load Reduction: Shifted from "memorization" to "recognition" by surfacing primary actions and streamlining navigation.
Systemic Consistency: Standardized complex modules to ensure legacy data remained readable while maintaining strict compliance.
Precision-First Design: Optimized high-risk financial touchpoints to minimize data entry errors and increase operational safety.
Strategic Prioritization: Favored clarity over feature bloat to prevent user overwhelm within existing backend constraints.
Final Outcome
A high-fidelity interface that significantly improved data scannability and reduced training dependency. Success was validated through staff walkthroughs, confirming that critical actions are now more obvious and safer to execute.