Admin Dashboard

Details

Redesigned a high-friction admin workflow under a 3-day deadline by clarifying task hierarchy, reducing cognitive load, and selectively introducing AI—resulting in faster alignment and a scalable design direction.

Client

Cornerstone OnDemand

Scope of Ownership

End-to-end design strategy, information architecture, interaction design, AI touchpoint integration

Cross-Functional Partners

High-frequency workflow prioritization map, streamlined interaction states, AI-assisted guidance patterns, and a reusable evaluation framework for admin tasks.

Year

2025

The problem

Clearing the Clutter: Eliminating Cognitive Friction in Enterprise Admin Workflows

Admins weren't blocked by missing features—they were paralyzed by unclear visual hierarchy, excessive digging, and widespread uncertainty around system state. Stakeholders instinctively sensed this friction across daily operations, but lacked the granular visibility needed to pinpoint where cognitive bottlenecks occurred across the workflow, leading to prolonged decision cycles and user fatigue.

The process

Diagnosing Friction and Focusing on High-Value Intent

Given the tight 3-day timeline, I prioritized rapid alignment and high-frequency workflows over expansive feature additions.

Discovery & Value Stream Mapping (VSM): Audited the legacy admin experience to track every touchpoint, identifying exactly where manual steps and decision fatigue accumulated.
Targeting High-Impact Moments: Focused strictly on moments requiring the most administrative judgment, stripping away unnecessary choices.
Iterative Design & Testing: Developed streamlined interaction states and introduced AI strictly to summarize and guide rather than dictate actions, ensuring admins maintained total control.

The solution

Architecting Intentional Clarity and Guided Control

The final architecture reduced systemic ambiguity through a disciplined, pattern-driven approach.

Hierarchical Clarity: Restructured the layout to foreground high-frequency tasks, drastically reducing the digging required to find essential controls.
Standardized Interaction States: Implemented consistent, predictable feedback loops so admins always understood the exact system state.
Intentional AI Integration: Deployed AI-driven summaries and contextual prompts to assist complex decisions without replacing human judgment, transforming noisy data into actionable clarity.

Impact & outcomes

Usability testing revealed a 50% reduction in workflow completion time, alongside the elimination of repetitive manual clicks and a significant drop in cognitive load.

Delivered a clear, accelerated path to implementation utilizing existing design patterns.

Created a reusable framework for evaluating and auditing future enterprise admin workflows.

Established a stronger internal benchmark for where AI genuinely adds value versus operational noise.

Selected Projects

Global Search

Redesign, End-to-end user experience, Interaction architecture, Design system componentization

2026

Adaptive Learn Agent

End-to-end UX/UI architecture, Conversational UI design, System interaction models