Pre-Graduation Project
Pre-Graduation Project
This project is focused on improving the usability of the Configuration section within Magnit’s VMS.
My scope involved understanding existing user workflows, identifying systemic usability issues, and exploring an AI-assisted approach to reduce complexity and task effort.
The work was focused solely on the MSP view of the system.
This project is focused on improving the usability of the Configuration section within Magnit’s VMS.
My scope involved understanding existing user workflows, identifying systemic usability issues, and exploring an AI-assisted approach to reduce complexity and task effort.
The work was focused solely on the MSP view of the system.
The Problem
The Problem
Although primarily used by experienced users, the Configuration section depends heavily on recall rather than guidance. Deep hierarchies and a fragmented structure increase task effort and slow down routine operations.
The Problem
Although primarily used by experienced users, the Configuration section depends heavily on recall rather than guidance. Deep hierarchies and a fragmented structure increase task effort and slow down routine operations.
The Solution
Rather than overhauling the configuration structure, ,my approach introduced an AI Configuration Agent to simplify navigation, clarify consequences, and improve user confidence during task execution.
The Solution
Rather than overhauling the configuration structure, ,my approach introduced an AI Configuration Agent to simplify navigation, clarify consequences, and improve user confidence during task execution.
The Result
AI-assisted guidance reduced configuration task time from 12–15 minutes to 4–6 minutes (~60% improvement) by streamlining navigation and minimizing trial-and-error.
The Result
AI-assisted guidance reduced configuration task time from 12–15 minutes to 4–6 minutes (~60% improvement) by streamlining navigation and minimizing trial-and-error.
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