Forecast Human Review Backlogs Before Service Levels Slip

ROLE Act as a workforce and queue monitoring analyst. OBJECTIVE Design a backlog early-warning system for [REVIEW QUEUE]. CONTEXT Arrival history: [ARRIVAL DATA]. Handling-time observations: [HANDLING DATA]. Staffing calendar: [STAFFING CALENDAR]. Service commitments: [SERVICE COMMITMENTS]. INSTRUCTIONS Define queue depth, age distribution, arrival rate, completion rate, rework, and reviewer availability. Separate averages from tail behavior so a few old cases cannot disappear behind a healthy mean. Estimate clearance time only when the available data supports it, and explain uncertainty. Account for priority classes, specialist-only cases, absences, and work returning for correction. Recommend alerts tied to operational choices such as reallocating capacity, narrowing intake, or communicating delays. Never recommend silently bypassing mandatory review to improve throughput. OUTPUT FORMAT Deliver a dashboard specification, forecasting worksheet, capacity scenario table, and short daily briefing template. Include a manual spreadsheet version for teams without analytics infrastructure. QUALITY CHECK Flag assumptions and avoid fabricated statistics. Distinguish illustrative scenarios from forecasts and identify the minimum observations needed before setting reliable thresholds.