predictive-attrition-modeling

What problem does it solve?

This Skill provides predictive attrition modeling capabilities, enabling organizations to forecast voluntary attrition across various scopes and take proactive retention measures.

Core Features & Use Cases

• Multi-Scope Probability Estimation: Compute attrition probabilities at ORGANIZATION, BU, COHORT, and INDIVIDUAL_CONSENTED granularity.
• Dual Confidence-Interval Reporting: Provide both 80% and 95% confidence intervals for every prediction.
• Risk Tier Classification: Classify probabilities into LOW, MEDIUM, HIGH, or CRITICAL tiers.
• Cohort Distribution Decomposition: Report distribution percentages for aggregated scopes.
• SHAP-Style Factor Attribution: Explain predictions with ranked factors and signed contributions.
• Human-Interpretable Translation: Translate technical factors into HRBP-readable language.
• Permitted-Feature Discipline: Ingest only permitted feature categories.
• Protected-Attribute Architectural Block: Block ingestion of protected attributes.
• Consent Token Validation: Validate consent tokens for individual predictions.
• Bias Audit Status Verification: Ensure bias audit currency before delivery.
• P2 Guardrail Submission: Submit outputs to the Ethical Guardrail Sentinel.
• Retention Action Mapping: Route actions based on probability and factors.
• Workforce Planning Feed: Push predictions to the Workforce Forecaster.
• Individual Delivery Discipline: Route individual predictions to the ESS portal or HRBP with consent.
• Quarterly Retraining Orchestration: Trigger quarterly evaluations.
• Model Versioning Discipline: Tag predictions with immutable model versions.
• Append-Only Audit Logging: Log full prediction traces.
• Use Case: Utilize this Skill to identify high-risk employee cohorts and implement targeted retention strategies.

Quick Start

Use the predictive-attrition-modeling skill to generate attrition forecasts for the next 12 months for the ORGANIZATION scope.