Assessing Work-Life Balance Challenges

Data on work hours, flexible work arrangements, and leave usage can highlight how women’s retention is influenced by work-life balance issues. Predictive models can signal points at which women’s engagement drops, prompting organizations to introduce policies that better accommodate caregiving responsibilities and flexible schedules.

Data on work hours, flexible work arrangements, and leave usage can highlight how women’s retention is influenced by work-life balance issues. Predictive models can signal points at which women’s engagement drops, prompting organizations to introduce policies that better accommodate caregiving responsibilities and flexible schedules.

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Retention Forecasting Models for Diverse Tech Talent

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