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AI-Driven HR
Lifecycle Intelligence

HR TechAutomationPredictive Analytics
120+Hours Saved Monthly
Full-cycleHR Automation
ProactiveRetention Strategy
ReducedManual Reporting
The Problem

What needed solving

HR teams were spending 120+ hours per month on manual reporting and data aggregation across disconnected systems. There was no predictive capability for employee attrition, making retention efforts reactive rather than proactive.

Users

Who it was built for

HR managers, people operations teams, and executive leadership who needed automated insights on workforce health, retention risk, and performance trends.

The Solution

How we solved it

Designed a predictive analytics platform that automated workforce insights across the full HR lifecycle — from onboarding through offboarding. The platform surfaced attrition risk scores, performance trends, and recommended interventions, eliminating manual reporting overhead.

My Role

What I owned

Product Manager responsible for user research with HR stakeholders, defining the analytics requirements, managing the data integration workstream, and overseeing platform delivery.

Tools & Technologies
HR Analytics PlatformsPredictive ModelingData IntegrationWorkflow Automation
Future AI Roadmap

Where this goes next

Next iteration includes LLM-powered HR assistant that can answer natural language questions about workforce trends and generate automated insight summaries for leadership.