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Use case - Queue Monitoring - Hero

QUEUE MONITORING

Understand when queues build. And how long people wait.

Measure queue development and waiting times continuously. See when pressure builds, compare periods and understand how waiting patterns change throughout the day.

Measure queues
Analyse wait times
Understand peak periods
CURRENT QUEUE 18 people
AVERAGE WAIT TIME 6:24 minutes
QUEUE DEVELOPMENT TODAY
PEAK PERIOD 12:00–14:00
+18%
08 12 16 20

THE OPERATIONAL CHALLENGE

Queues are constantly changing .

A queue can build quickly, disappear just as fast and look completely different an hour later. Without continuous measurement, it is difficult to know whether what you see is typical, temporary or part of a recurring pattern.

Demand changes

Visitor arrivals are rarely evenly distributed throughout the day. Periods of higher demand can quickly change conditions in a service area.

Waiting develops

Queue length and waiting time change throughout the day as demand rises and falls.

Patterns repeat

Comparing periods makes it easier to see when pressure regularly builds and where closer attention may be needed.

QUEUE MONITORING

Measure what happens in the queue.

Build a continuous picture of how queues develop. Track how many people are waiting, how long they wait and when conditions change — across the periods and service areas that matter to your operation.

QUEUE OVERVIEW Service area
TODAY
CURRENT QUEUE
18 people
AVERAGE WAIT TIME
6:24 min
LONGEST WAIT
11:08 min
PEAK PERIOD
12–14
DEVELOPMENT THROUGH THE DAY Queue length and wait time
Queue Wait time
08:00 11:00 14:00 17:00 20:00
COMPARISON Wait time
+12%
TODAY 6:24
PREVIOUS PERIOD 5:43
PERIODS Average wait time
08–10 3:12
10–12 5:06
12–14 8:36
14–16 5:51
01

Queue length

See how many people are waiting.

02

Wait time

Track how long people wait.

03

Development

See when the queue builds and declines.

04

Comparison

Compare relevant periods and service areas.

QUEUE MONITORING WITH COUNTMATTERS

See the queue as it develops .

CountMatters continuously measures queue activity, showing how conditions change throughout the day and across periods. See what is happening now, analyse how it develops and understand the patterns behind it.

01
MEASURE

Capture the queue continuously

Track queue length and waiting time throughout the day — not just at individual moments.

Use case - Queue Monitoring - Section 3 - measure_image
Queue length 6
Live
02
ANALYSE

See when conditions change

Compare development through the day and between relevant periods.

Queue length Today ⌄
20 15 10 5 0
Peak 16:20 18 in queue
08 10 12 14 16 18 20
Average wait time 4 min
↓ -35%
Maximum in queue 18
↑ +125%
03
UNDERSTAND

Understand what keeps happening

Recognize when pressure regularly builds and which patterns keep returning.

Queue patterns by day Last 4 weeks ⌄
Mon Tue Wed Thu Fri
08 10 12 14 16 18 20
Higher demand every Wednesday afternoon.

The pattern is visible across multiple weeks.

WHAT QUEUE MONITORING MEASURES

Understand what happens from arrival to waiting .

Queue Monitoring builds a continuous picture of demand and waiting conditions. Measure how queues form, how long visitors wait and how conditions change throughout the day.

01

Queue length

See how many people are waiting and how the queue develops over time.

6 in queue
Use case - Queue Monitoring - Section 4 - Queue_image
02

Waiting time

Measure how long visitors wait before reaching the service point.

04:12 08:36
Average waiting time 08:36
03

Demand over time

See when arrivals increase, when pressure builds and when conditions return to normal.

04

Patterns across periods

Compare days and periods to understand when similar queue conditions recur.

Use case - Queue Monitoring - Section 4 - Journey_image
ARRIVALS
QUEUE BUILDS
WAITING DEVELOPS
PATTERN EMERGES

WHAT QUEUE MONITORING ENABLES

Turn queue patterns into better operational decisions .

Queue data becomes useful when it gives teams a clearer basis for action. Use measured demand, waiting times and recurring patterns to understand where attention is needed and support operational planning.

OPERATIONAL PICTURE Queue conditions today
Live
In queue now 6
Avg. wait time 4:12
Peak period 16:00
Queue development Today
PEAK 16:00
08 10 12 14 16 18 20
PATTERN Pressure regularly builds during the afternoon.
01 QUEUE LENGTH + WAITING TIME

Respond to changing demand

See when conditions are moving away from the normal pattern and give operational teams a shared view of what is happening.

02 DEMAND + PERIODS

Plan around recurring peaks

Identify the days and times when pressure regularly builds and use that evidence when planning service capacity.

03 TODAY → PREVIOUS PERIOD

Compare performance over time

Compare queue conditions across relevant periods to understand whether waiting conditions are improving, deteriorating or remaining consistent.

PREVIOUS 05:18
TODAY 04:12
04 AREA A ↔ AREA B

Investigate where conditions change

Compare measured service areas to understand where queue conditions differ and where closer operational attention may be useful.

WHERE QUEUE MONITORING IS USED

Built for places where waiting conditions matter .

Queue Monitoring can be applied to measured service areas where visitor demand changes throughout the day. Understand when queues form, how waiting conditions develop and how patterns differ between periods.

Use case - Queue Monitoring - Section 6 - retail_image
01
RETAIL

Service points & checkout areas

Understand how queues develop around customer service and checkout areas as visitor demand changes.

Use case - Queue Monitoring - Section 6 - transport_image
02
TRANSPORT & AIRPORTS

Passenger service areas

Measure waiting conditions at relevant passenger service points and compare how demand develops across periods.

Use case - Queue Monitoring - Section 6 - public_image
03
PUBLIC BUILDINGS

Reception & citizen services

See when demand builds around reception and service areas and understand recurring patterns throughout the day.

Use case - Queue Monitoring - Section 6 - events_image
04
SPORTS & EVENTS

Entry & service areas

Understand how waiting conditions develop as visitor demand builds before, during and around events.

QUESTIONS & ANSWERS

Concise, operational, and verifiable — for teams evaluating queue measurement in practice.


UNDERSTAND YOUR QUEUES

See what actually happens while visitors wait.

Tell us where queues form and what you need to understand. Together, we’ll look at how CountMatters can measure queue length, waiting time and demand patterns across the relevant service areas.

01
Measure the queue

See how many people are waiting and how long they wait.

02
Understand when pressure builds

See how demand and waiting conditions change throughout the day.

03
Identify recurring patterns

Compare periods to see when similar queue conditions recur.

TALK TO US ABOUT QUEUE MONITORING

Let’s look at your queues.

Leave your company and email, and we’ll get in touch for a short conversation about your service areas, queue conditions and what you need to measure.

A short conversation. No obligation.

FRA BESØKSTALL TIL VERDI

I over 30 år har CountMatters satt standarden for besøksanalyse.
Som de opprinnelige innovatørene innen kundetelling, forvandler vi trafikkdata til innsikt som driver vekst.



 
 
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