Hybrid Workspace Utilization Analytics

This dataset provides a detailed, time-stamped record of workspace utilization in hybrid office environments, capturing occupancy, booking patterns, and employee feedback across various workspace types and locations. It enables facility managers and real estate teams to analyze space usage trends, optimize allocation, and enhance employee satisfaction in remote-friendly workplaces. The dataset supports actionable insights for dynamic space planning and workplace experience improvements.

  • last updated 28 Jan 2026
  • by GoMask
The brief that made it

Monitor and optimize workspace occupancy rates and booking patterns

Sample rows

preview · 8 of 120 rows · all 20 columns
workspace_idstringworkspace_typestringoccupancy_countintegerbooking_cancelledbooleanlocation_zonestringworkspace_namestringlocation_buildingstringlocation_floorstringdatedatetime_slot_startdatetimetime_slot_enddatetimeoccupancy_statusstringbooking_idstringbooked_by_employee_idstringbooking_purposestringbooking_created_atdatetimeemployee_count_expectedintegeractual_usage_duration_minutesintegerfeedback_scorefloatfeedback_commentstring
D-102Adesk1blankZone BWindow Desk 1HQ-East22024-05-152024-05-15T09:00:002024-05-15T12:30:00occupiedblankblankblankblankblank2104.5Desk was comfortable and quiet.
MR-201meeting_room5falseNorth WingMaple RoomAnnex22024-05-152024-05-15T10:00:002024-05-15T11:30:00reservedBK3107EMP1032team_meeting2024-05-13T16:04:005904.8Room set up was perfect for the team.
HS-3Chuddle_space3blankZone ACollab CornerHQ-WestGF2024-05-162024-05-16T13:00:002024-05-16T15:00:00occupiedblankblankblankblankblank120blankblank
PB-15phone_booth1falseZone DPhone Booth 15HQ-East12024-05-162024-05-16T11:15:002024-05-16T11:45:00occupiedBK2231EMP1209client_call2024-05-16T08:02:00130blankblank
OTH-01other0blankblankblankHQ-WestRF2024-05-162024-05-16T14:00:002024-05-16T17:00:00vacantblankblankblankblankblank0blankblank
D-202Bdesk1blankblankStanding DeskHQ-West42024-05-172024-05-17T08:30:002024-05-17T12:00:00occupiedblankblankblankblankblank2103.7Desk location is a bit noisy.
MR-305meeting_room8falseSouth WingOak RoomAnnex32024-05-172024-05-17T09:00:002024-05-17T12:00:00reservedBK3154EMP1017training2024-05-15T13:00:0081805Great AV setup for training session.
HS-2Ahuddle_space4blankZone CblankHQ-West02024-05-172024-05-17T13:30:002024-05-17T15:00:00occupiedblankblankblankblankblank90blankblank

What the 120 rows show

from the 120-row sample

Meeting_room (workspace type) stands out: mean occupancy_count is 9.9, against 2.0 for the rest.

  • 11%booking_cancelled = true
  • 1median occupancy_count
  • 3location buildings
  • 4occupancy statuses
  • 8booking purposes
  • 14location floors
Mean occupancy_count by workspace_type120 rows
05100.79desk24 rows9.9meetin…24 rows3.6huddle…24 rows0.67phone_…24 rows2.8other24 rows
occupancy_count120 rows, in bands of 2.5
035706819174441021012.525occupancy_count →

Median 1, from 0 to 24.

location_zone79 rows with a value · 41 left blank
  1. Zone D10
  2. Zone F10
  3. Zone C9
  4. Zone B8
  5. Zone A8
  6. Zone H8
  7. Zone E7
  8. Zone G6
  9. North Wing3
  10. Zone J3
20 columns by typefrom the column list below
  • string 11
  • integer 3
  • float 1
  • date 1
  • datetime 3
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 11 columns
workspace_idstringUnique identifier for each workspace (desk, room, or area)D-102A
workspace_typestringType of workspace (e.g., desk, meeting_room, huddle_space, phone_booth)desk · meeting_room · huddle_space · phone_booth · otherdesk
workspace_namestringDescriptive name or label for the workspaceoptionalWindow Desk 1
location_buildingstringName or identifier of the building where the workspace is located3 buildingsHQ-East
location_floorstringFloor number or label within the building2
location_zonestringZone, area, or section of the floor (e.g., North Wing, Zone A)optionalZone B
occupancy_statusstringOccupancy status during the time slot (e.g., occupied, vacant, reserved, no_show)occupied · vacant · reserved · no_showoccupied
booking_idstringUnique identifier for the booking event (if applicable)optionalBK3107
booked_by_employee_idstringEmployee ID of the person who booked the workspace (if booked)optionalEMP1032
booking_purposestringPurpose or reason for the booking (e.g., focus_work, team_meeting, client_call)8 purposes · optionalteam_meeting
feedback_commentstringOptional free-text feedback or comments from employeesoptionalSpacious, well-equipped.
Numbers 4 columns
occupancy_countintegerNumber of people present in the workspace during the time slot0 or more · optional1
employee_count_expectedintegerNumber of employees expected based on booking (for group spaces)0 or more · optional5
actual_usage_duration_minutesintegerActual duration in minutes the workspace was used during the time slot0 or more · optional210
feedback_scorefloatOptional employee feedback score for the workspace (e.g., 1-5 scale)1 to 5 · optional4.5
Dates and times 4 columns
datedateDate of the utilization record2024-05-15
time_slot_startdatetimeStart time of the utilization or booking period2024-05-15T09:00:00
time_slot_enddatetimeEnd time of the utilization or booking period2024-05-15T12:30:00
booking_created_atdatetimeTimestamp when the booking was createdoptional2024-05-13T16:04:00
True or false 1 column
booking_cancelledbooleanIndicates if the booking was cancelledoptionalfalse

Use it for

  • booking cancel…11%7 of 61 rowsmean occupancy count …0.79desk9.9meet…3.6hudd…0.67phon…

    A real estate dashboard

    The booking_cancelled rate, occupancy_count by workspace_type and a breakdown of location_zone. Excel, Power BI or Tableau.

  • Why do the 24 meeting_room rows have a mean occupancy_count of 9.9?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable workspaces with workspace_type, workspace_name and location_building to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows20 columns
Yours10,000 rows20 columnslocation_building: UK only

blueprint · hybrid-workspace-utilization-analytics

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Workspace occupancy must be recorded hourly.
  • Bookings are linked to employee IDs; multiple bookings per day allowed.
  • Unused reservations flagged as 'no show' for analysis.
  • Utilization rates calculated as percentage of total available desks.
  • Workspace type (meeting room, hotdesk, quiet zone) must be specified.
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
hybrid-workspace-utilization-analytics

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