On this page
Why it matters
Without capacity planning, peaks overflow and wait times spike; overcapacity wastes money. Data fixes both. Read queue analytics.
The inputs
Demand by hour, service time, and the staff you have. See queue KPIs and measuring wait times.
The target
Capacity slightly above demand at peaks—so wait stays under target. See customer flow analytics.
Plan with features, pricing, industries, or book a demo.
Frequently asked questions
How far ahead can I plan capacity?+
A week ahead reliably, a month ahead for broad trends; refine weekly with fresh data.
What if demand is unpredictable?+
Use ranges and keep a flex staffing plan, but data still reveals the typical peaks worth staffing for.
Step-by-step guide
- 1
Pull demand by hour
Use queue analytics to see join counts by hour and day over recent weeks.
- 2
Find your service capacity
Work out how many customers your team can serve per hour at each staffing level.
- 3
Schedule to demand
Schedule enough staff so capacity exceeds expected demand at every peak.
- 4
Review weekly
Re-check actual vs planned each week and adjust the schedule.