Backoffice administrators can use Calven's analytics tools to see important insights about bookings, behavior, and resource usage in the office. Analytics are a powerful way to get a better understanding of how your workplace is working, and a catalyst to help you improve.
Calven analytics are much more powerful with presence integrations. To get an accurate view of planned vs actual attendance and break down attendance into confirmed, walk-in, and no-shows, be sure to set up presence in your office.
To get started, open Backoffice and navigate to one of the analytics metrics in the sidebar. There are a number of different metrics you can choose to view, with more coming soon...
- Attendance
- Desk usage
- Weekly attendance frequency
- Booking types
Using the graphs
Each analytics graph will have a set of data and controls. At the title of the graph, you'll see the breakdown selector. This allows you to choose how you want to visualize the data. Below the title, you'll also see a set of filter chips that can be used to filter down to specific areas you might want to see. The actions button allows you to quickly copy the data, or toggle the scale of the graph from percentage to a numerical value. With percentage selected, 100% should always represent the total possible value or capacity of the resource you're looking at. At the very top of the page, you'll also see a date selector to choose the time range for your data.
Attendance
The attendance graph shows attendance over the selected time period, at the selected office(s), by members of the selected group(s). You can choose to view this for all weekdays, or filter down to only certain days, if for example your office is closed on Mondays and Fridays. Attendance can be broken down by date, week, month, office, group, or day of week.
With date selected, you'll see total attendance for each individual date in the selected time range. The other breakdowns will all show average attendance over the selected range.
When you have presence data, attendance data is broken down into different types:
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Data type |
Definition |
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Users that have booked into the office AND have been detected via a sensor. This is the best state because it means the user has attendance the office, and they communicated it to their team by booking. |
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Users that attended the office as they were detected by a sensor but did not book. |
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Users that booked space in the office but their presence was not detected by a sensor. |
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Users that booked space in the office, but there was no sensor available to detect their presence. This value is driven by the same data as a no-show, except that since there was not a sensor to confirm their presence, we cannot assume they were a no-show. |
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The number of users that meet the filter criteria. When viewing the data in the chart as a %, this will be the denominator for the values. |
Checked in
Walk-in
No-show
Unconfirmed
Total peopleDesk usage
The desk usage graph shows desk usage over the selected time period, at the selected office(s), by members of the selected group(s). desk usage can be broken down by office, neighborhood, or date.
Weekly attendance frequency
Weekly Attendance Frequency shows how often users attend the office during the selected time period, so you can understand behavior in more detail. Users are grouped into 6 categories based on how often they attend per week: 0 Days, <1 Day, <2 Days, <3 Days, <4 Days, 4+ Days
No-shows will not be counted towards weekly attendance frequency, so if presence data is available, only users who actually attended the office (checked-in plus walk-ins) will be shown. If there is no Presence data in the office, the bookings (i.e. unconfirmed) will be counted.
People who were on leave and set to ‘away’ will not be counted towards the total capacity of a group/office, giving you a better view of who attended, and omitting those who weren’t expected to attend. So for example, when December comes along and employees take leave, you can still count on your breakdowns to show accurate % of time in office.
Booking types
The booking types graph will show you a breakdown of the methods by which desks were booked. Booking types can only be broken down by group for now.
Calven also offers 2 "legacy" metric dashboards, separate from the graphs above:
- User preferences - a view of how many days in office users have selected for their default weekly working locations
- Catering - if your organization has catering configured, you'll be able to see graphs for most popular items, total orders per day, and total orders per group