HR Techologies & Systems

Infant attrition (first 90 days) using Survival Analysis and Logistic Regression

Infant attrition (first 90 days) using Survival Analysis and Logistic Regression

Infant attrition (first 90 days) using Survival Analysis and Logistic Regression

Infant attrition (first 90 days) using Survival Analysis and Logistic Regression

Sep 20, 2025

3

min

A graph illustrating a survival analysis curve over a 90-day period, representing the study of early employee attrition.
A graph illustrating a survival analysis curve over a 90-day period, representing the study of early employee attrition.
A graph illustrating a survival analysis curve over a 90-day period, representing the study of early employee attrition.

infant attrition, first 90 days turnover, survival analysis for employee retention, logistic regression for HR, predictive employee attrition models, new hire retention strategies, onboarding and retention, people analytics, data-driven HR, employee turnover prediction, early employee churn, new employee success, HR predictive analytics, Reduce the high cost of infant attrition by moving from reactive measures to a proactive, data-driven strategy. This post explains how to predict which new hires might leave in their first 90 days by combining two powerful statistical models. First, learn how a beginner's guide to Survival Analysis in HR can help you identify when employees are most at risk. Then, discover how Logistic Regression answers who is likely to leave and why by analyzing factors like manager experience and compensation. By integrating these top predictive models for people analytics, you can create targeted interventions, such as knowing when to improve your onboarding program to boost retention, and transform your HR function into a strategic powerhouse.

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Frequently Asked Questions

What's the key difference between Survival Analysis and Logistic Regression?

What's the key difference between Survival Analysis and Logistic Regression?

What's the key difference between Survival Analysis and Logistic Regression?

What specific data do I need to collect to build these predictive models?

What specific data do I need to collect to build these predictive models?

What specific data do I need to collect to build these predictive models?

The formulas look complex. Do I need to be a data scientist to use these models?

The formulas look complex. Do I need to be a data scientist to use these models?

The formulas look complex. Do I need to be a data scientist to use these models?

Is the model's prediction a guarantee that an employee will leave?

Is the model's prediction a guarantee that an employee will leave?

Is the model's prediction a guarantee that an employee will leave?

The blog uses "Onboarding Score" as a key factor. What does a "good" vs. "bad" score actually measure?

The blog uses "Onboarding Score" as a key factor. What does a "good" vs. "bad" score actually measure?

The blog uses "Onboarding Score" as a key factor. What does a "good" vs. "bad" score actually measure?

How can I justify investing in this kind of predictive analytics to my leadership?

How can I justify investing in this kind of predictive analytics to my leadership?

How can I justify investing in this kind of predictive analytics to my leadership?

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