Boost Your Business Growth: Minimize Employee Attrition Rate and Maximize Retention
Our employee attrition prediction software uses advanced predictive analytics to help organizations understand and address the factors driving employee turnover. Integrated with top HRMS software in India, it enables accurate attrition rate calculation, helping HR teams plan hiring, training, and retention strategies for long-term stability.
- Predicts employee churn using attrition analytics
- Identifies key turnover factors
- Calculates attrition rate accurately
- Integrates seamlessly with HRMS
- Supports hiring and retention planning
Attrition & Retention Outcomes That Keep Your Best People
Real impact delivered by Phi EDGE Attrition & Retention — predict flight risk earlier, retain top talent longer.
Attrition Reduced
Overall attrition reduction
Flight-Risk Detection
Earlier identification of risk
Hiring Cost Avoided
Per retained employee salary
Trends Forecasted
Attrition predicted in advance
High-Performer Retention
Improvement in top talent kept
Key Features
Key Features of Our Employee Attrition Prediction Model
Predict, prevent, and act on employee churn with powerful AI-driven analytics, real-time data, and seamless HRMS integration.
Advanced Predictive Analytics
Harness the power of attrition predictive analytics to foresee potential employee churn — enabling proactive retention strategies before talent walks out the door.
AI PredictionsComprehensive Attrition Formula
Our software incorporates multiple employee churn models based on demographics to offer you the most accurate attrition trends — holistic, data-backed, and continuously updated.
Multi-Model AnalysisReal-Time Data Processing
Get instant insights with real-time data analysis capabilities — so your HR team always has the most current, accurate picture of workforce health and flight risk.
Live InsightsUser-Friendly Interface
Navigate through our intuitive interface designed for HR professionals — no technical expertise required, just clear dashboards and actionable attrition insights at your fingertips.
Easy to UseCustomizable Reports
Generate detailed reports tailored to your specific needs — filter by department, tenure, role, or demographic to uncover the exact attrition patterns that matter to your organization.
Custom ReportsIntegration Capabilities
Seamlessly integrate with your existing HRMS systems for a unified approach — connecting attrition data with payroll, performance, and employee lifecycle for complete workforce intelligence.
HRMS ConnectedBenefits of using our Employee Attrition Rate Calculation Software
- Cost Efficiency
- Improve Retention Rates
- Data-Driven Decision Making
- Enhanced Employee Engagement
- Strategic HR Planning
Frequently Asked Questions
What is attrition rate calculation?
Attrition rate calculation measures the percentage of employees who leave an organization over a specific period, such as a month or a year. It helps HR teams understand how quickly employees are leaving and whether retention efforts are working.
How do you perform an attrition calculation?
First, count the number of employees who left during the period. Next, find the average number of employees for that period by adding the headcount at the start and at the end and dividing by 2. Finally, divide the number of employees who left by the average headcount and multiply by 100. Phi EDGE does this automatically and shows the results month-wise, grade-wise, and state-wise.
What is the annual attrition formula?
Annual Attrition Rate = (Number of employees who left during the year ÷ Average number of employees during the year) × 100. For example, if 12 employees left in a year and the average headcount was 210, the annual attrition rate is (12 ÷ 210) × 100 = 5.7%.
Can you explain the attrition formula?
The attrition formula compares how many employees left with how many employees you had on average: Attrition Rate = (Employees who left ÷ Average number of employees) × 100. Using the average headcount rather than the starting headcount gives a fairer result when the team size changes during the period. A higher rate means more employees are leaving, which signals a need to review retention, engagement, and hiring strategies.