Simulation controls
Simulation speed: 1.0×
+ Add cohort
⟳ Reset
Feature-effect strength
Engagement effect: 1.00×
Compensation effect: 1.00×
Manager-quality effect: 1.00×
Each slider scales the true generative Cox coefficient (β) used to draw departures: hazard = h₀·exp(β₁·strength₁·z_engagement + β₂·strength₂·z_comp + β₃·strength₃·z_manager). Raising a slider makes that feature drive risk more strongly for every future instant.
Kaplan-Meier subgroup
All employees
Engagement: above median
Engagement: below median
Compensation: above median
Compensation: below median
Manager quality: above median
Manager quality: below median
Cohort stats
Sim week 0
Active employees —
Events (departed) —
Censored —
Median survival (KM) —
Hazard ratios (per +1 SD)
Engagement — true —
Engagement — estimated —
Compensation — true —
Compensation — estimated —
Manager qual. — true —
Manager qual. — estimated —
"Estimated" values come from a real partial-likelihood fit (gradient ascent on the Cox log partial likelihood, Breslow tie handling) run on the cohort's actual simulated event/censoring times — not the generative truth. Compare them to see estimation converge as more events accumulate.
Employee feature space — engagement × compensation × tenure (drag to rotate, scroll to zoom). Colour/size = current hazard; dark red = departed; blue = censored at horizon.
Kaplan-Meier retention curve — selected subgroup, computed from real event/censoring times