Instructions:

Enter your office metrics prior to the COVID-19 pandemic. What is the m² office area and how many workstations were available? Next, enter the last known workstation occupancy percentages per weekday. Default values for these occupancy percentages are country averages. If you are unaware of your last known workstation occupancy percentages please provide your best estimates or defer to the default country averages.

Finally, enter the expected additional percentage of time working remotely in your organisation. This means if it is 1 day working remotely prior to the COVID-19 pandemic and now is desired to be 2 days working remotely, the expected additional percentage of time working remotely in your organisation will be 20%. Click 'Calculate' to start the impact calculator.

The graph will now show your own average workstation occupancy and it will display a second line for the expected occupancy per day based on your input of expected additional time working remotely. The numbers above the graph show the difference in average occupancy and difference in peak occupancy for both lines. The relation between these occupancy differences is not linear, because it reflects employee behaviour to select the weekdays for remote working when colleagues are also away from the office.

Based on the gap in peak occupancy, a new calculation shows the theoretical number of workstations that could be released when employees increase time spent working remotely.
This number of released workstations is then passed on to a theoretical office area that could potentially be released based on your own office metrics.

Now click 'Spread office occupancy' to calculate the same indicators when an organisation applies a controlled distribution of office occupancy and avoids busy weekdays becoming even more busy and quiet days becoming more quiet. The second line will now flatten, indicating an evenly distributed office occupancy, discarding busy and quiet weekdays at the office.

The difference in average occupancy shown above the graph will remain the same, but the difference in peak occupancy will increase. This increased difference in peak occupancy will also increase the theoretical number of workstations and office area potentially to be released. Click 'Back, without spread office occupancy' to return to the results without controlled distribution of office occupancy.