Queues, shifts and deadlines under control

Requests, shifts and SLA on one screen: you see when and why the backlog builds up. Below is a demo dashboard.

01Demo

Dashboards that tell a story

Operations

Demo Scenario

Are we handling requests on time?

Within SLA
91% −3%
Avg handling time
3.2 h +8%
Backlog
118 +21%

Backlog by weekday

Backlog by weekday
Mon118
Tue64
Wed41
Thu38
Fri45
Sat22

The backlog builds up on Mondays: weekend requests land on the same shift as weekday ones.

Action Add a Monday morning shift

02Service companies

Typical tasks

SLA compliance, shift planning, workload forecasts, work quality by team member.

03Contact

Let’s look at your data

Five questions and you get a preliminary data architecture and a first step. Or just write to us.

Preliminary data architecture

Step 1 of 6
Where does your data live?Choose several if needed

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