See ticket totals, resolution pace, and team utilization. Compare channels, backlog risk, and response capacity. Make smarter support decisions with fast daily visibility today.
Use the responsive form below. It shows 3 columns on large screens, 2 on smaller screens, and 1 on mobile.
| Day | Orders | Visitors | Tickets | Resolved | Backlog Start | Agents | Avg Handle Min |
|---|---|---|---|---|---|---|---|
| Monday | 790 | 12,500 | 78 | 76 | 18 | 5 | 10 |
| Tuesday | 815 | 13,100 | 81 | 79 | 20 | 5 | 10.5 |
| Wednesday | 840 | 13,750 | 84 | 82 | 22 | 6 | 11 |
| Thursday | 850 | 14,000 | 89 | 85 | 21 | 6 | 11 |
| Friday | 860 | 14,200 | 96 | 88 | 24 | 6 | 11 |
Daily workload = Starting backlog + Today’s tickets
Ending backlog = max(Daily workload − Resolved today, 0)
Closure-to-intake ratio = (Resolved today ÷ Today’s tickets) × 100
Workload resolution rate = (Resolved today ÷ Daily workload) × 100
Tickets per 100 orders = (Today’s tickets ÷ Orders today) × 100
Tickets per 1000 visitors = (Today’s tickets ÷ Visitors today) × 1000
Repeat ticket rate = (Repeat tickets ÷ Today’s tickets) × 100
Capacity per agent = (Available hours × 60) ÷ Average handle minutes
Required agents = Ceiling(Daily workload ÷ Capacity per agent)
Tomorrow forecast uses a simple linear trend from the latest seven daily ticket counts.
The support pressure score is an advisory weighted indicator based on utilization, backlog ratio, and repeat rate. It helps prioritize staffing decisions quickly.
It measures daily support demand, backlog movement, staffing sufficiency, workload resolution, contact intensity, and a trend-based forecast for ecommerce support operations.
Yes. Resolved tickets can include older backlog items. The calculator only blocks values that exceed total available work for the day.
Visitors help normalize support demand. Tickets per 1000 visitors show whether contact pressure is rising even when order volume stays stable.
Channel splits reveal where demand originates. That helps allocate agents with the right skills, scripts, or staffing hours across email, chat, phone, and social queues.
It is a quick advisory score built from utilization, ending backlog pressure, and repeat tickets. Higher values suggest rising operational strain.
The forecast uses a simple linear trend across the latest seven daily ticket counts. It estimates the next day’s demand direction and size.
Add staffing when utilization exceeds 100%, backlog rises, required agents exceed available agents, or your SLA outlook shifts to attention or risk.
Yes. The calculator works for direct-to-consumer stores, marketplaces, subscription brands, and hybrid ecommerce teams that track daily support demand.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.