Human Resources Dashboard

This project delivers an executive-level Human Resources analytics dashboard designed to provide an immediate, actionable overview of organizational health.

The dashboard consolidates workforce flow (headcount, hires, terminations), department distribution, demographics, and compensation structure into a single decision-support interface.

It is built for leaders who need fast answers first, with the option to drill into detail through consistent interactive filtering.

HR reporting often fails at the executive level because insight is spread across multiple reports, with limited comparability across dimensions (department, demographics, location, and time).

• Workforce metrics are siloed (headcount vs. attrition vs. compensation)
• Drill-down requires manual analysis, slowing decision cycles
• Patterns (e.g., department attrition, salary structure) are hard to detect quickly

This project addresses these issues by:

• Creating a KPI-first executive overview
• Standardizing key breakdowns (department, gender, age, education, location)
• Connecting performance and compensation to demographic and education structure

Top layer: Workforce Overview

• Active Employees for instant current-state context
• Hired vs. Terminated totals and trend lines for workforce flow
• Department distribution including termination counts for retention risk scanning
• Location footprint to connect workforce to geography

Second layer: Demographics + Structure

• Gender distribution
• Age group segmentation
• Education distribution (and how it intersects with age)
• Education vs. performance view for workforce quality signals

Third layer: Compensation

• Income by education and gender to highlight structural differences
• Age vs. salary patterns to detect progression and outliers

The dashboard is designed for fast segmentation using consistent filters across all views:

• Gender (single / multi-select)
• Status (e.g., active/terminated segmentation)
• Location (multi-site drill-down)
• Hire date (time-windowed analysis for cohort/period comparisons)

Click-to-filter behavior enables exploratory analysis without switching pages or exporting data.

Typical leadership questions the dashboard supports:

• Which departments have disproportionate terminations relative to size?
• Is hiring keeping up with attrition over time?
• How balanced is the workforce by gender and age group?
• How do education levels map to performance ratings?
• Do compensation patterns differ by education, gender, or age?
• Where is the workforce concentrated geographically (and how is that changing)?

• KPI hierarchy: start with the numbers that anchor interpretation, then expand into explanatory breakdowns
• Comparability: consistent encodings support quick cross-dimension comparison
• Decision speed: pattern recognition over raw tables
• Clarity under density: high information volume without UI overload

The result is a single-pane HR analytics product that supports continuous monitoring of organizational health and faster decision-making on hiring, retention, and compensation planning.

Instead of functioning as a static report, the dashboard operates as a living analytical interface where stakeholders can segment the workforce and validate hypotheses in seconds.

Potential next steps

• Add retention cohorts (e.g., 30/90/180-day retention) by department and location
• Introduce time-to-hire and recruiting funnel metrics (if data available)
• Add pay equity views with controls for role/level and tenure
• Create a dedicated “Attrition drivers” page (tenure, manager, performance, comp band)