The Desk Overview Report provides you with information regarding the desk utilisation of your office. In this article, you will find key elements of the report and its metrics.
Filters
Calendar Date: Select a rolling period or a fixed set of dates.
Location Name
Location Group
Floor Name
Zone Name
Desk Name
Employee Name
Employee Group
Tabs
The report is divided into different tabs, each one of them focused on a specific topic.
Desk and Utilisation Overview: This will display key graphs and metrics providing you with an overview of your desk utilisation.
Check-In Overview: Metrics related to desk check-in.
Cancellation: Those metrics focus on cancelled bookings ( By the user or automatically by RICOH Spaces).
Released Spaces: Those metrics focus on bookings released by users.
Booking List: The full booking list, including all bookings made during the selected date range.
Metrics
Desk and Utilisation Overview
Desk and Utilisation Overview
Utilisation
Utilisation takes into account the time your desk is available for, and what percentage of that time it has been booked for.
For example, if a desk is available 8 hours in a day, and has been booked for 4, it is 50% utilised.
Total Bookings
The total number of bookings made during the selected calendar date.
Average Bookable Desks
The average number of bookable desks.
Average Bookings
The average number of desk bookings per day.
Peak Space Usage
What is the highest usage of desks registered? In this example, at its peak, 16% of the total desks available were used.
Space Usage
This metric tells you what percentage of your overall desk availability has been used in ANY capacity, not taking "time booked" into account. For example, if you have 10 desks, and 3 have been booked all day, and 2 have been booked half days, that is still 50% overall desk usage.
Employee Booking Stats
This chart lists all your employees, the number of bookings they have made during the selected period as well as the number of desk bookings that have been cancelled. Using those two statistics, the reports give you a cancellation rate percentage (%).
Booking Stats by Group
This chart is similar to the Employee Booking Stats chart but provides you with stats by groups ( and not employees).
Total and Peak Desk Bookings by Day of Week
This graph provides you with information about the busiest days of the week.
Peak Desk Usage by Day of Week
This graph displays the busiest days for your desks.
How Far In Advance Are Users Booking?
This graph helps you understand when your users are booking desks.
Total Bookings by Desk
This graph displays the top 10 of your most popular desks (most bookings).
Utilisation Trend by Floor
In this graph, each one of your floors has been attributed a colour. The most utilised floors will have the highest peaks.
Utilisation Trend by Zone
Just like the previous graph, you will see the most utilised zones (highest peaks).
Check In Overview
Check In Overview
Checked In Rate
This percentage represents the average count of desk bookings that have been checked in.
Bookings Checked In
This number represents the total count of desk bookings that have been checked in.
Average Checked in Per Day
This metric tells you how many desks are being checked in per day on average.
Check In Rate
The percentage was calculated by taking the total count of bookings that have been checked in, divided by the total count of desk bookings.
Checked In VS Total Bookings
This graph enables a simple visualisation of the checked-in rate compared to the total count of bookings.
Are Users Checking In
This graph shows you simply whether users are checking into their desks or not.
Booking Duration VS Check In Time
This graph enables a simple visualisation of the checked-in rate compared to the total count of bookings.
Are Bookings Checked In Before Start Time
When did users check into their desks? This graph shows you whether users have checked in before or after the booking start time and the method they used to check in.
Cancellation
Cancellation
Cancellation Rate
The cancellation rate takes into account the total amount of bookings made which have been cancelled.
Cancelled Bookings
This number gives you the number of bookings that have been cancelled.
Average Cancelled Bookings
This number gives you an average of the number of cancellations per day.
Percentage of Lost Cancelled Bookings
How many of the bookings which get cancelled go on to be re-utilised by the business? For example, if this % is low, it means that people are cancelling with enough time, or that your spaces are in demand enough for them to go on to be utilised anyway.
Cancellation Rate Trend
In this graph, you can see the cancellation rate trend. Are there periods when more cancellations happen?
Booking Cancellation Reason
This graph will display the reasons why bookings have been cancelled.
When Are Bookings Been Cancelled?
In this graph, you can easily see when the bookings are cancelled.
Cancelled Bookings by Desk
This graph will display desks that may be cancelled more often than others.
Released Spaces
Released Spaces
Total Bookings Released
Count of desk bookings that have been released (the user didn't need the booking anymore and removed it).
Percentage of lost released Bookings
This percentage gives you an indication of the reusability of the freed time. In this case, none of the bookings that have been released have been reused.
Average Released Bookings
This metric provides you with the average count of released bookings per day.
Percentage of Bookings Released
This percentage of bookings released took into account all the bookings and the ones which have been released.
Total Hours Freed by Early Release
How many hours have been freed thanks to the early release?
Average Duration Freed by Early Release
This graph compares the average released hours with the released space count. In this example, Wednesday had 84 released spaces, which freed on average 8 hours.
Space Released Trend
This graph provides you with a quick view of the spaces' release trends. You can observe if some periods have more bookings released.
Booking List
This large table of data lists all bookings made for the selected time period.
