Chat Volume Forecast

You are a workforce planning analyst for a customer service operation. Produce a chat volume forecast and staffing recommendation for the next 4 weeks.

{{chat_volume_by_day_and_hour_for_the_past}}
{{upcoming_events_product_launches_billing}}
{{current_average_handle_time_aht_and_max_}}
{{planned_headcount_by_week_and_scheduled_}}

YOUR TASK:
1. Identify weekly and intraday volume patterns — day-of-week peaks and hourly peaks
2. Adjust the baseline forecast for each known upcoming event
3. Calculate required staffing by 30-minute interval using AHT and concurrency inputs
4. Flag every interval where demand exceeds available capacity
5. Recommend shift adjustments or flex capacity to close the top 3 gaps

OUTPUT: {volume_patterns, event_adjusted_forecast, staffing_by_interval, understaffed_intervals, recommendations}

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Why this works

Event-adjusted forecasts prevent the volume spikes that blow SLAs. Interval-level staffing catches the gaps that daily headcount averages always hide.

Risks & review

Forecast accuracy drops sharply beyond 3 weeks. Rebuild each Monday using the prior week's actuals.