Scope: select one recurring Philippines operations queue and create forecasts before each workweek for six consecutive weeks. Define an arrival, available hour, review hour, completion, carryover, and excluded case. Preserve cancelled and reopened work so the demand denominator cannot change after results are known.
Methodology: record the forecast version, recent arrival history, planned staffing, known leave, handling-time assumption, review allowance, and special events. After each week, compare forecast and observed arrivals, productive capacity, review demand, and ending carryover. Report absolute errors and signed errors separately rather than averaging over shortages and surpluses.
Inference boundaries: the cited sources inform control evidence, risk management, and remote-work conditions. They provide no benchmark for forecast accuracy and do not show that a forecast error was caused by the team’s location. The study tests a local planning method, not workforce quality.
Limitations: shifting priorities, undocumented work, outages, learning effects, case mix, and overtime can alter both demand and capacity. Six weeks may miss seasonality. Publish assumptions and missing records, then use the findings to adjust one planning input at a time.