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AI Performance Mobile App
We’re looking for a modern, intuitive dashboard that allows IT teams to detect performance issues in real-time, reduce MTTR, and gain full-stack observability without switching between tools.
Co-founder at AppDynamics
Performance Management Software
AppDynamics - Performance Management Mobile App project is an intelligent APM platform that helps enterprise IT teams monitor app performance, detect anomalies, and optimize infrastructure. The tool designed for real-time application tracking, helping teams reduce downtime and prioritize key infrastructure metrics in a structured, actionable UI.
Industry
APM (Application Performance Monitoring)
Category
Mobile App
Location
Washington, D.C., USA
Infrastructure Analytics UI Design
Users struggled with scattered monitoring data, overwhelming analytics dashboards, and difficulty pinpointing root causes quickly. Navigating complex app and infrastructure performance metrics lacked clarity and real-time responsiveness.
Data Overload Without Prioritization
Users had difficulty finding critical metrics quickly. Important alerts were lost in volume, reducing response speed and increasing user frustration.
Unstructured Navigation Flows
The interface lacked clear hierarchy and consistency. Switching between sections required too many steps, increasing effort and reducing daily task efficiency.
System Health Tracking Solution
We conducted in-depth research on enterprise IT workflows and user roles to identify how to present performance insights clearly. The design process focused on modular UX, priority-based navigation, and visual clarity for faster decision-making.
Our focus was to connect metrics to user actions, not just show numbers.
UX/UI Designer
IT Operations UI Design
Our goal was to reduce cognitive load by organizing complex metrics into a simplified, real-time APM interface and to build a scalable interface for AppDynamics - Performance Management Mobile App ui / ux that reduces visual complexity, increases engagement, and shortens alert-to-action response time in daily operations.
Our Approach
We aimed to improve accessibility to performance insights for devs, ops teams, and IT leadership.
AppDynamics Platform Development
We ran interviews with operations teams and analyzed session recordings to identify decision-blocking patterns and unnecessary friction in existing workflows. Through user interviews, we found 72% of IT specialists wanted customizable dashboards. Response time diagnostics and error tracking were the most used features. A clearer alert system could cut troubleshooting time by up to 40%.
We collected data through user testing and backend analytics. This helped us define what caused the highest delays and low satisfaction scores in the existing scheduling flow.
58% - Navigation Drop Rate
In AppDynamics - AI Performance Management App example, over half of users exited the dashboard during task switching. This showed a need to streamline cross-section transitions and unify dashboard logic.
40% - Alert Misidentification Rate
Users misinterpreted system health status due to unclear graph legends and inconsistent alert grouping. This led to missed escalation and lower incident resolution speed.
Data Visualization UI Design
We updated the UX to improve clarity, navigation, and system feedback across the AppDynamics. Visual indicators, alerts, and heatmaps now support faster response. Data layout was optimized for better readability and team-specific usage.
Alert Cards & Contextual Tooltips
We introduced alert cards that highlight issue severity and urgency in real time. Tooltips provide immediate context without forcing users to switch views or leave their current task.
Visual Indicators
Dashboards were redesigned to support customization by user roles. Color-coded system states, grouped metrics, and live heatmaps help reduce confusion and improve productivity across teams.
Alert Management Solution
We reduced the average time to issue detection by 35%. The new UI improved onboarding efficiency for new users by 45%. Real-time alerts and intuitive data visualization increased productivity across IT teams and app developers.
+35% faster Issue Detection
The UI structure helped teams locate performance problems faster. Real-time alerts and clearer system states reduced diagnostic delays and improved response time.
+45% increase in Onboarding Efficiency
New users completed setup and began using key features sooner. Simplified workflows and a focused layout made the AppDynamics - AI Performance Management App easier to learn and adopt.
Monitoring Workflow UX Design
Next, we’re planning to introduce real-time collaboration in the app and integrate with CI/CD tools. The new UI gives us the flexibility to scale observability across teams with minimal training.
Co-founder at AppDynamics
App Performance Software Solution
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