Methodology
Office occupancy data, access control, and the return to
office
The return to office vs hybrid and remote work debate is
raging. Some leaders are urging employees back to the office,
while others are trying to attract more talent by offering
hybrid and remote conditions. The real estate market and
trends are shifting daily.
To facilitate the return to office analysis and real estate
planning, we are aggregating and analyzing anonymized unlocks
- the most reliable source of office occupancy data supported
by Kisi access control.
Sample and variables
To eliminate bias, we are aggregating anonymized data from all
Kisi customers headquartered in the US. The 2500+ sample size
ensures smaller error margins and lower deviation standards.
We calculate the occupancy rate by dividing the number of
daily unique unlocks by the maximum capacity. We're counting
all unique unlocks, including unlocks made with mobile access
methods and physical credentials.
The unique unlocks indicate that if the same Kisi user unlocks
more than one office door or the same door multiple times
during the day with the same or different access methods,
they'll be counted only once. As the reference point for the
maximum capacity, we're using the 0.985 percentile of the
highest number of daily unique unlocks observed over the past
two calendar years, only including days with at least one
daily unique unlock. For the average company, where unlocks
typically occur on workdays, this corresponds to approximately
one day per quarter with the highest number of unique unlocks
excluded. We're doing this to minimize the error of
determining capacity based on the highest number of daily
unique unlocks that can be one-off occasions and not represent
the real capacity, like an office party, family day, or
meet-up. The office occupancy data is updated regularly, at
least each Monday between 5 and 6 PM UTC.
Limitations
Remote unlocks are counted towards the unique daily unlocks,
implying higher capacity rates in some cases. Many Kisi
customers use the Geofence restriction, which ensures that
users must be in the vicinity of the office to unlock a door,
reducing the probability of error.
To guarantee anonymized data, we're only considering the
company's HQ when calculating occupancy data by state.
Attributing all Kisi-secured office locations to the office HQ
might skew the interpretations for location-based data.
Analyze your company’s occupancy data
Take advantage of Kisi's occupancy reports if you're looking
for the best way to adapt to hybrid work, streamline
operations, or utilize and monetize your office or building
space. Generate our
advanced occupancy reports
when needed or schedule regular occupancy updates in your
inbox. Get a demo to
see how Kisi can help you streamline operations, optimize
occupancy, and enhance security.
Data team
Roman Vakhrenev – Data Analyst
Athanasios Zapatetas – Data Engineer