Develop a driver-based 12–24 month workforce plan for [Company]’s [BusinessUnit] across [Regions]. Use demand drivers (e.g., volume, bookings, or [RevenueTarget]) and supply factors (internal mobility, ramp, and [AttritionRate]) to forecast required FTE by role family. Calibrate productivity using [ProductivityMetric] (e.g., output per FTE). Output: (1) Executive summary (≤120 words). (2) Markdown table “Headcount_Forecast” with columns: Month, RoleFamily, BaseDemand, InternalSupply, NetGap, PlannedHires. (3) Markdown table “Assumptions” listing each driver with value and source. (4) JSON object named forecast_summary with fields: total_hires, peak_gap_month, cost_estimate_[Currency], risks[]. (5) Action plan: 5 bullets assigning owners across TA, Finance, and Operations. Clearly flag months where NetGap > 10% of BaseDemand and propose mitigation levers (accelerate recruiting, shift demand, overtime). Apply rounding rules (FTE to 0.1). State all assumptions and cite sources (ATS/HRIS/Finance).