About this dashboard

Track pipeline value, win rate, deal velocity, and quota attainment by region against targets.

KPIs tracked

Monthly RevenueQuarterly RevenueYear-over-Year GrowthConversion RateAverage Deal SizeSales Cycle LengthCustomer Acquisition Cost (CAC)Quota Attainment

Charts

Funnel ChartPipeline ChartMulti-Line ChartGauge ChartStacked Bar ChartData Table

Strategic insights

Design recommendations

Color Palette Strategy

High

Utilize the navy-coral color palette by using navy for backgrounds and headers, coral for key metrics and highlights, ensuring a 4.5:1 contrast ratio for accessibility. This strategy will create a consistent and recognizable visual pattern.

Primary · Background and headers
Secondary · Key metrics and highlights
Accent · Secondary elements
Highlight · Important data points
Muted · Subtle backgrounds
Light · Light accents

Layout & Grid System

High

Implement a 12-column grid layout for a 16:9 ratio. Position KPIs at the top for immediate visibility, followed by charts in the middle section, and filters in the sidebar. Maintain 16-24px padding with 16-20px gaps between components for clarity.

Typography Hierarchy

Medium

Set the dashboard title to 24-28px bold, section headers to 18-20px semibold, and card titles to 14-16px medium. Use a single font family like Inter or Segoe UI for consistency across the dashboard.

Data Visualization UX

High

Choose chart types that effectively match the data semantics: use funnel charts for conversion tracking, pipeline for deal flow, and gauges for performance against targets. Limit colors to 5-7 per chart and ensure clear legends are outside the chart area.

Visual Hierarchy & Focus

Medium

Establish a clear visual hierarchy by making the most critical metrics the largest and boldest. Use whitespace to separate sections and add subtle shadows or borders around cards for depth. Implement conditional formatting to highlight anomalies.

Interaction & Feedback

Low

Incorporate hover states for interactive elements (e.g., opacity changes) and loading skeletons during data refreshes. Provide visual feedback on filter selections and consider drill-through navigation for deeper data exploration.

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