Every glowing capsule is one employee. As training weeks accumulate, each worker's skill climbs toward a maximum along an exponential learning curve whose steepness depends on the budget per head and the chosen method. Taller, brighter avatars are more skilled; the office floor's overall output (productivity index) is a function of the team's average skill.
skill(t) = skill_max · (1 − e^(−k·budget·t))
productivity = 1 + 1.4 · skill
ROI = (output_gain · avg_wage) / (budget · team_size)
- Training budget — dollars invested per employee; higher budget steepens the learning curve k.
- Team size — number of avatars simulated on the floor; total spend scales with headcount.
- Method toggle — on-the-job (fast start, lower ceiling), classroom (slow start, high ceiling), mentoring (balanced, highest steady-state skill).
- Reset team — restarts every employee at baseline skill and zero elapsed weeks.
Companies use exactly this diminishing-returns curve to size L&D budgets — spending past the curve's knee yields shrinking productivity gains per dollar.