Booking activities .csv
Find out how to analyse booking trends in your office
ā Admin
ā Employee member
Every time a booking is performed inside your offices, Nibol stores the characteristics of that booking to make them available for your internal analysis.
Specifically, we provide you not only with the possibility to view that information from business.nibol.co, but even with the possibility to download further details about them in a .csv format. The explanation of the content of each column is provided hereafter.
List of the columns of Nibol booking activity csv:
time_day
The calendar day of the booking (format: yyyy-mm-dd).
time_from
The starting time of the booking (format: hhmm).
time_to
The ending time of the booking (format: hhmm).
states
The state of the booking (format: state_value).
It may assume several values:
active: check-in done or the starting time of the booking has passed when the company does not require the check-in
cancelled: booking cancelled by the employee
cancel: booking that can be cancelled by the employee
check_cancel: booking that can be cancelled but is also in the time slot to do the check-in
checked: booking with check-in done, but not ended yet
ended: booking ended with check-in done, or booking ended with check-in not required
lost: booking ended without a valid check-in
company_cancelled: booking deleted due to company restrictions
deleted: booking in a building/office/space that has been deleted or by a deleted user
idle: (only for rooms) booking status before the check-in time
checkin_time
The time in which the check-in process has been performed (format: hhmm).
checkout_time
The time in which the check-out process has been performed (format: hhmm).
username
The name of the member (format: Member Name).
user_email
The email address associated with the member (format: emailaddress@company.xx).
building_name
The name of the building in which the booking has been done (format: Building Name).
office_name
The name of the office in which the booking has been done (format: Office Name).
space_name
The name of the space in which the booking has been done (format: Space Name).
desk_name
The name of the desk in which the booking has been done (format: Desk Name).
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