Turnover Analytics Skill

Overview

The Turnover Analytics skill provides capabilities for analyzing turnover patterns, building predictive models, and developing data-driven retention strategies. This skill enables comprehensive turnover understanding and proactive intervention.

Capabilities

Turnover Calculation

• •Calculate turnover rates by segment
• •Differentiate voluntary vs. involuntary
• •Track regrettable vs. non-regrettable
• •Compute annualized rates
• •Compare to benchmarks

Survival Analysis

• •Perform survival analysis on tenure
• •Build tenure curves by segment
• •Identify critical tenure periods
• •Calculate hazard rates
• •Compare cohort survival

Predictive Modeling

• •Build turnover prediction models
• •Identify risk factors
• •Calculate flight risk scores
• •Validate model accuracy
• •Update models with new data

Risk Identification

• •Identify high-risk employees and teams
• •Flag at-risk talent segments
• •Monitor risk score changes
• •Alert managers proactively
• •Track intervention effectiveness

Cost Analysis

• •Analyze turnover cost impacts
• •Calculate replacement costs
• •Estimate productivity loss
• •Model cost avoidance
• •Support business case

Intervention Design

• •Generate retention intervention recommendations
• •Prioritize interventions by impact
• •Design targeted programs
• •Track retention program effectiveness
• •Measure ROI of retention

Usage

Turnover Analysis

const turnoverAnalysis = {
  period: {
    start: '2025-01-01',
    end: '2026-01-01'
  },
  segments: [
    'department', 'location', 'level', 'tenure-band',
    'performance-rating', 'manager', 'age-group'
  ],
  metrics: [
    'overall-turnover',
    'voluntary-turnover',
    'regrettable-turnover',
    'first-year-turnover'
  ],
  benchmarks: {
    industry: 'technology',
    internal: 'prior-year'
  },
  analysis: {
    survivalCurves: true,
    rootCauses: true,
    costImpact: true
  }
};

Predictive Model

const flightRiskModel = {
  target: 'voluntary-termination',
  predictionWindow: 6,
  features: [
    'tenure-months',
    'time-since-promotion',
    'time-since-raise',
    'performance-trend',
    'manager-tenure',
    'commute-distance',
    'market-demand-score',
    'engagement-score',
    'training-hours'
  ],
  model: {
    type: 'logistic-regression',
    crossValidation: 5,
    threshold: 0.7
  },
  output: {
    employeeScores: true,
    riskSegments: ['high', 'medium', 'low'],
    managerAlerts: true
  }
};

Process Integration

This skill integrates with the following HR processes:

Best Practices

1. •Root Cause Focus: Understand why, not just what
2. •Segment Deeply: Aggregate metrics hide important patterns
3. •Proactive Action: Act on predictions before resignations
4. •Manager Enablement: Equip managers with actionable insights
5. •Privacy Respect: Handle individual scores carefully
6. •Continuous Learning: Update models with new data

Metrics and KPIs

Related Skills

• •SK-017: Exit Analysis (departure reasons)
• •SK-020: Engagement Survey (engagement link)
• •SK-018: Workforce Planning (attrition forecasts)