Analyze turnover patterns and develop retention strategies with predictive modeling
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.
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
}
};
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
}
};
This skill integrates with the following HR processes:
| Process | Integration Points |
|---|---|
| turnover-analysis-retention.js | Full analysis workflow |
| workforce-planning.js | Attrition forecasting |
| employee-engagement-survey.js | Engagement correlation |
| Metric | Description | Target |
|---|---|---|
| Overall Turnover | Annual turnover rate | Below industry benchmark |
| Regrettable Turnover | High performer departures | <10% |
| First-Year Turnover | New hires leaving in year 1 | <15% |
| Model Accuracy | Prediction accuracy (AUC) | >0.75 |
| Intervention Success | Retention rate of intervened employees | +20% vs. control |