Handle the work instead of reading about it
Three working pieces, built by us, on synthetic data labelled as such. They work under a thumb and they read projected on a wall.
- Contacts this month
- 128,396
- Service level
- 86.5 %
- Cost per contact
- Q 9.38
Example operation · 200 agents · 3 campaigns · 6 teams · last 30 days
Open the demonstrationTelling real data from demo data is the point
None of these figures belongs to a client. They are generated to resemble a real operation without being one, and every piece says so on screen.
A firm that does not distinguish demonstration data from real data will not distinguish them in your reporting either. So the label sits in plain view, not in small print.
The three pieces
- 1
Operations dashboard
A contact centre operation of roughly two hundred agents: interval volume, average handle time, adherence, occupancy, service level, quality, cost per contact, and forecast against actual. Filter by period, campaign and team, and drill from the management view down to team detail.
Open the demonstration - 2
From spreadsheet to system
The before and after of a real anonymised case: a spreadsheet with tabs, broken formulas and versions circulating by email, against the measurement system it turned into.
Open the demonstration - 3
Continuity simulator
Pick a critical process and an outage length, and see what is lost in hours, in transactions and in estimated cost. With recovery time and recovery point objectives explained in one line each.
Open the demonstration