About this dashboard

A comprehensive overview of customer support ticket resolution metrics to enhance team performance through actionable insights.

KPIs tracked

Average Resolution TimeFirst-Contact Resolution RateCustomer Satisfaction (CSAT)Employee SatisfactionEmployee Engagement ScoreTurnover Rate

Charts

Geographic MapGauge ChartData TableActivity Feed WidgetSparkline

Strategic insights

Design recommendations

Color Palette Strategy

High

Utilize the purple-gold palette effectively by using purple (#7B1FA2) for headers and key metrics, gold (#FFB300) for highlights, and ensuring a contrast ratio of at least 4.5:1 for accessibility. Maintain consistency in color usage across the dashboard.

Primary · Background and headers
Secondary · Key metrics and highlights
Accent · Secondary elements
Highlight · Important data points

Layout & Grid System

High

Implement a 12-column grid system for a 16:9 ratio, positioning KPIs at the top for immediate visibility, followed by charts and visuals arranged in a logical flow. Ensure 16px padding and 20px gaps between sections for a clean look.

Typography Hierarchy

Medium

Establish a typography hierarchy with the dashboard title at 28px bold, section headers at 20px semi-bold, and body text at 14px regular. Use a single font family like Inter for consistency and clarity.

Data Visualization UX

High

Choose visualization types that align with the data semantics: use a geographic map for location-based metrics, a gauge for target metrics, and a data table for detailed insights. Limit color usage per chart to 6 for clarity and ensure legends are clear and positioned outside the chart area.

Visual Hierarchy & Focus

Medium

Create a clear visual hierarchy by emphasizing KPIs with larger fonts and bolder colors. Utilize whitespace effectively to separate sections, and add subtle shadows to cards for depth. Conditional formatting should be used to highlight anomalies in data.

Interaction & Feedback

Low

Incorporate hover states for interactive elements, using a slight opacity change to signal interactivity. Implement loading indicators during data refresh and provide visual feedback on filter selections for better user experience.

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