The Organisational Insight Report gives you an overview of your company as a whole using all your location data.
Filters
Calendar Date: Select a rolling period or a fixed set of dates.
Metrics
Busiest Locations by Bookings
The map displays your locations. The size of the red dots changes according to their number of bookings. Busiest locations will have bigger dots.
Number of Employees
The total number of employees.
Number of Locations
The total number of locations in your organisation.
Bookable Desks
The total number of bookable desks.
Bookable Parking
The total number of bookable parking spaces.
Bookable Rooms
The total number of bookable rooms.
Busiest Day of Week
This graph displays the count of bookings by type of space per day. You can quickly visualise the type of bookings people are making and when.
Utilisation
Utilisation takes into account the time your spaces are available for, and what percentage of that time it has been booked for. For example, if a space is available 8 hours a day, and has been booked for the day, it is 100% utilised.
Cancelation Rate
The cancellation rate takes into account the number of bookings that have been made and have been cancelled. This metric provides you with insight as a percentage. For example, a high cancellation rate means that, taking into account all bookings made, many have been cancelled.
Check In Rate
Note: This metric is only valid for spaces which require check-in.
Check-in rate provides you with a percentage representing the ratio of spaces booked which have been checked in by users. Whilst users may do bookings and honour them, checking in confirms that users are at their space.
Location Booking Stats
This table breaks down all the locations and provides you with key information: the cancellation rate, check-in rate, utilisation, count of distinctive bookings, count of spaces and employees.
When Are Bookings Been Cancelled?
In this graph, you can see when the bookings are most cancelled. In this example, we can see most bookings are cancelled after the meeting and more than 5 hours before.
Location Spaces Data
In this table, you can find more information per location and sort the table by the metric of your interest.
WFH/In office Comparison
This graph shows you the overall working tendencies within your organisation.
How far in advance are people booking?
This graph helps you understand when your users are making bookings.
