πΌ Corporate Wellness Program ROI β 3D
A genuine WebGL/Three.js companion to the 2D Corporate Wellness Program ROI simulator: a workforce sphere of employees orbits a central program hub, and two 3D value pylons weigh program cost against estimated savings β driven by the identical ROI math as the original.
Why render wellness-program ROI in 3D
The 2D original walks through five flat stages β baseline risk screen, program rollout, individual trajectories, aggregate outcomes and an ROI dashboard β on a single canvas. This companion keeps the exact same underlying model but places it in real 3D space: 64 representative employees are distributed on a Fibonacci sphere around a central Program Hub, colored by the same low/medium/high risk tiers, and every participant (selected by the participation-rate slider) is linked to the hub by a glowing line and drifts measurably inward as their simulated risk score improves β the identical trajectory formula as the 2D "Individual Risk Trajectories" stage.
The math is untouched: investFactor = clamp(costPerEmployee/700, 0.35, 1.8), eff = participationRate Γ investFactor, healthcare-cost reduction capped at 9.5%, absenteeism reduction at 23%, presenteeism reduction at 16%, and ROI = totalSavings / totalCost using the same $9,000 / $1,685 / $3,200 baseline claims, absenteeism and presenteeism costs per employee as the 2D version. Company size β fixed at 500 in the original β is a genuine third live control here, scaling both dollar totals exactly as the formula requires without touching the ROI ratio itself.
Two real 3D bar pylons β Program Cost and Est. Savings β rise and fall in height with the live dollar totals, and gold coin particles lift off the savings pylon whenever the modeled ROI clears 1:1, echoing the 2D dashboard's closing flourish. Drag to orbit the workforce sphere and pylons, scroll or pinch to zoom, and push participation, per-employee spend and company size to see how easily a well-intentioned program lands anywhere from break-even to modestly positive β matching the RCT-informed, deliberately conservative range the 2D original targets.