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Queue analytics

Walk-in queue analytics

How long people waited, when you were busiest and who didn't show, straight from your queue. Filter by location, queue and date, and export every visit to CSV.

No app to download · Live in 10 minutes · Free tier

One queue, one day

Joined

Visit count

Completed

Outcome count

Average wait

Time to service

Average service

Time in service

Filter: DateFilter: LocationFilter: Queue

An owner checks Saturday at the Central location. The returns queue averaged a 14-minute wait, peaked between 11 and 12, and had three no-shows.

Sample figures for one queue, not customer results

The basics

What is queue analytics?

Queue analytics measures how a line performed: how many people joined, how long they waited, how long service took and how many left before their turn. In Wait Wherever's queue management system, every figure comes from the visits your staff handle, each step timestamped as it happens.

Who came and who didn't

Joined, served, cancelled and no-shows, plus how many are waiting right now.

How long people waited

Average and longest waits, and average service time, to tell a slow line from slow service.

Busy hours and who served

Visits by hour with peak hours marked, and how many each staff member served.

Without a record

Memory makes a poor record of a busy day

By closing time, nobody can say how long the longest wait was, how many people gave up, or whether Saturday at eleven needs another person on the counter. Staff remember the worst moments, and a paper list can't answer any of it.

Instead

What your queue records for you

  • Times, as they happen. Every join, call and finished visit is timestamped, so waits are measured, not remembered.
  • Every exception on record. Skips, requeues and no-shows are logged with who made the change and when.
  • Who served how many. Customers served per staff member, so you can see how the work was shared.
  • Every visit, exported. Download the full visit history as a CSV file whenever you need it.
Explore all features

How it works

How queue analytics works

There's no setup. The numbers build while your staff run the queue.

01

Serve as usual

Nothing extra for staff to enter. The queue does the counting.

02

Pick your view

Choose a location, a queue and any date range.

03

Spot the pattern

See when waits climb, which hours peak and how no-shows add up.

04

Act on it

Move a break, put someone extra on the counter, or adjust your hours.

FAQ

Frequently asked questions

Metrics, filters, exports and who sees what.

Which queue metrics can I see?

Customers joined, served, cancelled and still waiting, no-shows, average and longest wait, average service time, customers served per staff member, and visits by hour with your peak hours marked.

Can I filter the numbers by location and queue?

Yes. Pick a location, a queue and a date range, and every figure updates to match. One queue's long waits don't get lost in a busy day's total.

Can I export queue data to CSV or Excel?

Yes. Owners and admins can export the full visit history as a CSV file, which opens in Excel or Google Sheets. Each row is one visit, with its service, how the customer joined, its final status, who served them, and when they joined, were called, started and finished.

Can staff see the reports?

No. Reports and exports are for owner and admin accounts. Staff see the live queue they're working on.

Do walk-ins added at the desk count too?

Yes. Every visit counts, whether the customer scanned your QR code, used your link or was added by staff. The export shows which way each one joined.

Do I need to set up reports?

No. The numbers start with your first customer and build as your staff serve. There's no report builder to learn.

Get started

Plan tomorrow's rush with today's numbers

Set up your queue in about ten minutes. The numbers start with your first customer, and every visit exports to CSV. Free to start.