Support & Ops

Support Volume Forecaster

12-week ticket volume forecast from historical data + growth rate + event multipliers. Computes agent gap.

SHORTFALL W1horizon:12w
forecast.console/8h · 12p
Volume forecast · history → projection + 95% CI
8 weeks history2 events+3% weekly
979peak / wkW9
61%
Capacity coverage
5 / 8.2
hire +4 before W1 · peak W9
Historical solid · projected dashed · 95% CI band

Volume forecast chart

↓ forecast
HistoricalProjected95% CIEvent week
History avg
503 / wk
Peak projected
979 (W9)
Max agents needed
8.2
First shortfall
W1
Weekly tickets, newest last

Historical volume

Parsed: 8 weeks. Last week: 600.

Projection inputs

Growth & staffing

Launches, pushes, known outages

Event multipliers

Volume, 95% CI, agent gap

12-week forecast

WeekProjected95% CIEventAgentsGap
W16184987385.2+0.2 short
W26374678065.3+0.3 short
W36564488635.5+0.5 short
W49457061185Product launch ×1.47.9+2.9 short
W56964289645.8+0.8 short
W671642310106.0+1.0 short
W773842110556.1+1.1 short
W876042110996.3+1.3 short
W99796191338Holiday push ×1.258.2+3.2 short
W1080642711856.7+1.7 short
W1183143312286.9+1.9 short
W1285544012717.1+2.1 short

Baseline(w) = last_week × (1 + growth%)^w. Events multiply. CI widens with horizon (√w scaling of residual stdev).

What your history implies

Seasonal pattern detection

1st-half avg
449
2nd-half avg
556
Half-over-half
+24%
Volatility
±5.2%
Suggestion: Implied weekly growth from your history is +5.52%. You're using 3%. Consider adjusting.