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📊 HR Attrition Analytics Dashboard

Business Requirements Documentation

Project Goal: Transform raw HR data into actionable intelligence to reduce costly employee turnover by 15% within 12 months.


📖 Table of Contents

🎯 1. Project Overview

The dashboard is an interactive Tableau visualisation platform designed to provide data-driven insights into employee attrition patterns, workforce demographics and retention risk factors across the organisation.


🎯 2. Business Objectives

  • Reduce voluntary attrition by 15% within 12 months through early identification of at-risk employee segments
  • Improve retention strategies by understanding key drivers of employee departure (work-life balance, overtime patterns, job satisfaction)
  • Optimise recruitment planning by forecasting potential attrition in critical departments and roles
  • Enhance employee experience by identifying departments/teams with concerning attrition patterns requiring intervention
  • Support data-driven HR decision-making with real-time visibility into workforce stability metrics

👥 3. Target Audience & Stakeholders

Role Primary Needs Access Level
HR Directors Strategic attrition trends, department comparisons, ROI of retention programs Full dashboard access
Department Heads Team-specific attrition risks, comparison to organisation averages Department-filtered views
HR Business Partners Individual risk factors, intervention recommendations Employee-level detail (anonymised)
Executives High-level attrition metrics, financial impact, trend forecasting Executive summary view
Talent Acquisition Forward-looking attrition forecasts to plan recruitment pipelines Forecasting module

📈 4. Key Performance Indicators (KPIs)

Primary Metrics

  • Attrition Rate: % of employees leaving voluntarily within rolling 12-month period
  • Retention Rate: % of employees remaining after 12/24/36 months of employment
  • Cost of Attrition: Estimated financial impact including recruitment, onboarding and productivity loss
  • Time-to-Fill Vacancies: Average days to replace departed employees by role criticality

Secondary Metrics

  • Attrition by Department: Comparative analysis across R&D, Sales, HR divisions
  • Attrition by Job Role: Identification of high-risk positions (Sales Executives, Laboratory Technicians)
  • Demographic Risk Factors: Age bands, gender patterns, marital status correlations
  • Work Pattern Indicators: Overtime frequency, business travel impact, work-life balance scores
  • Tenure Analysis: "Flight risk" periods (e.g., 3-5 years tenure showing highest departure rates)
  • Satisfaction Correlations: Relationship between environment satisfaction, job involvement and attrition

🔗 5. Data Sources & Integration Requirements

Source Frequency Key Fields Transformation Requirements
HRIS System Daily Employee demographics, tenure, department, job role Age band categorisation (Under 25, 25-34, etc.)
Performance Management Monthly Job satisfaction scores, performance ratings Standardisation of rating scales
Time & Attendance Weekly Overtime hours, business travel frequency Travel pattern classification (Rarely/Frequently/Non-Travel)
Exit Interviews Ad-hoc Departure reasons, manager feedback Sentiment analysis categorisation
Compensation Data Quarterly Salary bands, promotion history Normalisation for role/tenure comparisons

💻 6. Functional Requirements

Dashboard Views

  1. Executive Summary View

    • High-level attrition metrics with YoY comparison
    • Financial impact visualisation (cost of turnover)
    • Top 3 risk factors driving attrition
  2. Department Risk Analysis

    • Attrition heat map by department and job role
    • Comparative analysis of departmental retention rates
    • Drill-down capability to team level
  3. Employee Profile Analysis

    • Demographic segmentation of attrition patterns
    • Work pattern correlations (overtime, travel, satisfaction scores)
    • Tenure-based risk profiling
  4. Predictive Risk Module

    • "At-risk" employee scoring (high/medium/low risk)
    • Intervention recommendation engine
    • Retention probability forecasting
  5. Action Planning Workspace

    • Intervention tracking (what actions taken for at-risk employees)
    • ROI calculator for retention initiatives
    • Success metric tracking for retention programs

Interactive Features

  • Dynamic filtering by department, job role, tenure band, age group
  • Comparative analysis mode (select two employee segments for side-by-side comparison)
  • "What-if" scenario modeling for retention initiatives
  • Export capabilities for detailed analysis (CSV, PDF)
  • Mobile-responsive design for manager access on-the-go

⚙️ 7. Non-Functional Requirements

  • Performance: Dashboard must load in <3 seconds with full dataset (1,498+ employee records)
  • Security: Level security ensuring managers only see their direct reports; HR leadership sees organisation-wide data
  • Data Freshness: Near real-time updates (within 24 hours of source system changes)
  • Accessibility: WCAG 2.1 AA compliance for color contrast and screen reader compatibility
  • Audit Trail: All data exports and sensitive views must be logged for compliance

📏 8. Success Criteria & Measurement

Metric Target Measurement Method
Reduction in voluntary attrition 15% decrease YoY HRIS attrition reports
Time to identify at-risk employees <7 days from risk indicator emergence Dashboard usage logs
Manager adoption rate >80% of department heads using weekly Tableau Server analytics
HR intervention effectiveness 40% reduction in departure of flagged employees Pre/post intervention comparison
Recruitment planning accuracy 25% improvement in vacancy forecasting Talent acquisition feedback survey

⚠️ 9. Implementation Constraints & Assumptions

  • Initial implementation focuses on voluntary attrition; involuntary terminations excluded from analysis
  • Data quality limitations acknowledged (e.g., self-reported satisfaction scores may have bias)
  • Dashboard will not identify individual employees by name in shared views (anonymised for department heads)
  • Requires integration with existing HRIS system via secure API connection
  • Change management program required to drive adoption among department heads

Document Version: 2.0