The Check-Ins Report is a valuable tool that allows you to confirm whether your employees are genuinely coming to the office. While a booking indicates their intention, a check-in provides solid confirmation. Please explore our Manual Check-In and Automatic Check-In articles to learn more about check-in options.
🚨 Please note that this report will only be visible if your environment's check-in feature is enabled. Contact your Customer Success Manager for more information.
Available Filters
You can apply the following filters to refine your report:
Filter | Selection Type | Description |
Building | Multi-select | Filter by one or multiple buildings for more detailed insights. |
Floor | Multi-select | Filter by specific floors, just like the Building filter. Applies to selected building's floors if specified. |
Area | Multi-select | Similar to the Floor filter, but focusing on an area level. |
Period | Single-select | Select the time frame for evaluating your data, from the beginning of the year to as far back as 2021. |
Date customisation | Multi-select | With this filter, you can filter out specific days from your data. For example I want to see the data of 2024 excluding Christmas. |
Week Length | Single-select | Compare data for a week (seven days) or a workweek (five days). |
Weekday | Multi-select | Show the data only on specific days in the week. For example show only the data from Mondays and Fridays. |
Reports
Where is it busy?
What is the difference between the attendance rate and planned office days for different offices?
This graph compares the number of workspace bookings to the actual check-ins for those bookings per office building in your portfolio. It's essential to understand that if someone checks in without a booking, they'll be prompted to make one. Since check-ins occur at the building level, it's assumed that a person with a booking will go to their initially booked location when they check in.
When is it busy?
On which days did the attendance data differ from the planned office days?
The bars in the graph represent the total number of bookings per date, while the line displays the total number of check-ins per date. You can easily compare bookings and check-in events by overlaying the line on the bars. The week length depends on the Week Length filter; it will include all seven days (Saturday and Sunday included) if the filter is set to 7 days. A Week Length of 5 days will display the workweek.
On which day of the week is the difference larger between the planned office days and actual office attendance?
Similar to the graph described above, this one compares average bookings and check-ins per day of the week. The days displayed in the graph depend on the Week Length filter, which can be set to 5 or 7 days.
💡 When the Area view is selected in the graph, it shows all areas across all buildings. You can refine the visualization and comparison by using the filters on the right side to choose a specific building or floor.
What are the busiest times of the day when employees enter and leave the office?
With the Check-In feature, you can also log check-out events. Check-outs occur when employees leave the office for the day or go out for lunch which can be manual or automatic, depending on the setup. This graph displays the average number of check-ins compared to the average number of check-outs per hour of the day. Check-ins and check-outs are counted within the hour; for example, if someone checks in or out at 9:29 AM and another at 9:41 AM, the graph will show two check-ins or check-outs at 9:00 AM. The average is calculated based on the active filters.
Check-Ins Per Time of Day
In contrast to the Check-Ins and Check-Outs per Time of the Day graph, this graph shows the cumulative number of people who have checked in and checked out. Each check-in is counted as +1, and each check-out is counted as -1. The displayed number represents the average over the selected period. For instance, 95 check-ins at 8:00 AM and 155 at 9:00 AM indicate that 60 people checked in during that hour. The aggregation method is the same as in the Check-Ins and Check-Outs per Time of the Day graph.
💬 Need More Help?
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