Windows 365 Reserve

Proactive monitoring for enterprise desktop infrastructure

Role: Senior Product Designer
Client: Microsoft
Duration: 4 months
Year: 2022

Overview

Designed a comprehensive monitoring dashboard for Azure Virtual Desktop (AVD) that provides IT administrators with real-time insights into desktop health, user experience, and infrastructure performance across thousands of virtual machines.

The Challenge

IT admins managing large AVD deployments (10,000+ users) had no centralized view of system health. They relied on fragmented Azure Monitor logs and reactive support tickets. Research showed admins spent 15+ hours per week troubleshooting issues that could have been prevented.

Design Process

1

User Research

Shadowed 12 IT admins managing AVD deployments. Analyzed 6 months of support data to identify common issues. Found that 68% of incidents were related to 5 core categories: connectivity, performance, authentication, application delivery, and capacity.

2

Information Architecture

Mapped out data hierarchy and visualization needs. Designed a three-tier system: Overview (fleet health), Diagnostics (issue investigation), and Trends (capacity planning). Prioritized based on frequency and impact.

3

Data Visualization

Created custom chart patterns for time-series data, topology views, and alert prioritization. Worked with data scientists to determine meaningful thresholds. Ensured WCAG AA compliance for all visualizations.

4

Pilot & Iteration

Launched private preview with 50 enterprise customers. Gathered feedback through in-app surveys and monthly calls. Iterated on alert logic and dashboard customization based on real-world usage.

4 months (2024-2025)

The Solution

An AI-powered dashboard that surfaces actionable insights, predicts potential issues, and provides guided remediation. Includes customizable views, automated alerting, and integration with ServiceNow for ticket creation.

Outcomes & Impact

-70%
MTTR

Mean time to resolution for incidents decreased from 3.2 hours to 58 minutes

45%
Proactive Resolution

Of issues resolved before user impact, based on predictive alerts

+12 hrs/week
Admin Efficiency

Time saved per admin on monitoring and troubleshooting tasks

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