Workforce Analytics Platform
People Intelligence
Command Center
1,470 employees · 3 departments · Simulated IBM-style dataset
Dataset sourced from Kaggle — IBM HR Analytics Attrition Dataset
👔
Chief Executive
Strategic overview, financial impact of attrition, org health index, board-ready KPIs
Executive View
🎯
HR Director
Predictive risk, burnout detection, compa-ratio matrix, intervention planning
Operational View
🧑‍💼
Line Manager
Team flight risk, individual burnout flags, retention checklists, team health score
Team View
Methodology

🧮 Flight Risk Algorithm

score = 0 if OverTime == 'Yes': score += 2 if JobSatisfaction <= 2: score += 2 if WorkLifeBalance <= 2: score += 2 if YearsLastPromotion >= 3: score += 1 if DistanceFromHome >= 20: score += 1 # Score 6–8 → 38% attrition · Score 0–1 → 6.7%

📊 Burnout Index

burnout = 0 if OverTime: burnout += 3 if WorkLifeBalance <= 2: burnout += 3 if JobSatisfaction <= 2: burnout += 2 if EnvironmentSatisfaction <= 2: burnout += 1 if JobInvolvement <= 2: burnout += 1 # Max = 10 · High burnout ≥ 7

📈 Survival Analysis

Kaplan-Meier estimator applied to tenure data. At each time point t, S(t) = S(t-1) × (1 − d/n) where d = departures and n = employees at risk. Stratified by department.

💲 Compa-Ratio

compa = employee.income / avg_income_for_same_role # < 0.85 = underpaid vs peers # Danger Zone: compa < 0.85 AND perf_rating = 4