Remote Work Collaboration Tool Usage

This dataset provides detailed records of employee interactions with remote collaboration tools, including timestamps, types of activities, productivity scores, and location data. It enables managers and analysts to monitor tool adoption, assess productivity impacts, and identify trends in remote work behaviors across teams and projects. The dataset is ideal for optimizing collaboration strategies and supporting data-driven workforce decisions.

  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Monitor and analyze remote collaboration tool adoption rates

Sample rows

preview · 8 of 200 rows · all 15 columns
interaction_idstringinteraction_typestringproductivity_scorefloatis_remotebooleanmanager_idstringemployee_idstringemployee_namestringdepartmentstringtool_namestringinteraction_datetimedatetimeduration_minutesfloatproject_codestringlocation_citystringlocation_countrystringnotesstring
INTA1001Message Sent82.5trueEMP1007EMP1001Jessica TurnerMarketingSlack2024-03-05T09:14:00ZblankPRJ-2024A1AustinUSSent update to project channel
INTA1002Meeting Attended74.3trueEMP1010EMP1002Samuel LeeFinanceZoom2024-03-05T11:02:00Z48.2PRJ-2024F3TorontoCAQuarterly budget review
INTA1003File Shared89.2trueEMP1012EMP1003Priya PatelEngineeringTeams2024-03-06T15:44:00ZblankPRJ-2024E2BangaloreINShared design doc with backend team
INTA1004Meeting Hosted80falseEMP1013EMP1004Michael ChenITGoogle Meet2024-03-07T08:20:00Z60PRJ-2024IT1San FranciscoUSWeekly infrastructure sync
INTA1005Task Created67.8trueEMP1011EMP1005Fatima MansourProductAsana2024-03-07T13:33:00ZblankPRJ-2024P1LondonGBCreated task for feature scoping
INTA1006Message Received60.5falseEMP1014EMP1006Lucas SchmidtSalesSlack2024-03-08T09:01:00ZblankPRJ-2024S2BerlinDEReceived client feedback
INTA1007Meeting Attended71.4trueEMP1001EMP1007Anna KimMarketingTeams2024-03-08T16:30:00Z34.6PRJ-2024A1SeoulKRBiweekly team catch-up
INTA1008Task Completed95.1trueEMP1012EMP1008Gabriel OliveiraEngineeringTrello2024-03-09T10:12:00ZblankPRJ-2024E2Rio de JaneiroBRCompleted sprint task

What the 200 rows show

from the 200-row sample

Task Completed (interaction type) stands out: mean productivity_score is 88.9, against 68.3 for the rest.

  • 64%is_remote = true
  • 71.0median productivity_score
  • 7tool names
  • 10departments
  • 54location countries
  • 40.5median duration_minutes
Mean productivity_score by interaction_type200 rows
05010063.8Mes…33 r…56.3Mes…23 r…73.2Mee…36 r…77.8Mee…29 r…72.1Fil…24 r…68.1Tas…23 r…88.9Tas…26 r…50.6Oth…6 ro…
productivity_score200 rows, in bands of 10
03060000183451524014050100productivity_score →

Median 71.0, from 38.9 to 97.3.

manager_id197 rows with a value · 3 left blank
  1. EMP101021
  2. EMP101321
  3. EMP101115
  4. EMP101214
  5. EMP100913
  6. EMP100112
  7. EMP101511
  8. EMP10149
  9. EMP10089
  10. EMP10048
15 columns by typefrom the column list below
  • string 11
  • float 2
  • datetime 1
  • boolean 1

Columns

15 columns in four groups
blueprint · 15 columns
columntypedescriptionexample
Text 11 columns
interaction_idstringUnique identifier for each recorded interaction with a remote collaboration tooluniqueINTA1001
employee_idstringUnique identifier for the employee performing the interactionEMP1001
employee_namestringFull name of the employeeJessica Turner
departmentstringDepartment or team the employee belongs to10 departmentsMarketing
manager_idstringUnique identifier for the employee's manageroptionalEMP1007
tool_namestringName of the remote collaboration tool used (e.g., Zoom, Slack, Teams)7 valuesSlack
interaction_typestringType of interaction performed (e.g., message sent, meeting attended, file shared)8 valuesMessage Sent
project_codestringCode or identifier for the project associated with the interactionoptionalPRJ-2024A1
location_citystringCity from which the employee performed the interactionoptionalAustin
location_countrystringCountry from which the employee performed the interactionoptionalUS
notesstringOptional notes or comments about the interactionoptionalQuarterly budget review
Numbers 2 columns
duration_minutesfloatDuration of the interaction in minutes (if applicable, e.g., meeting length)0 or more · optional48.2
productivity_scorefloatEstimated productivity impact score (0-100) assigned to the interaction0 to 100 · optional82.5
Dates and times 1 column
interaction_datetimedatetimeDate and time when the interaction occurred2024-03-05T09:14:00Z
True or false 1 column
is_remotebooleanIndicates if the interaction was performed remotely (true) or on-site (false)true

Use it for

  • is remote64%127 of 200 rowsmean productivity sco…63.8Mess…56.3Mess…73.2Meet…77.8Meet…

    A technology dashboard

    The is_remote rate, productivity_score by interaction_type and a breakdown of manager_id. Excel, Power BI or Tableau.

  • Why do the 26 Task Completed rows have a mean productivity_score of 88.9?

    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 interactions with employee_id, employee_name and department to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows15 columns
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blueprint · remote-work-collaboration-tool-usage

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 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
  • Session durations are time-stamped.
  • Tools tracked: video, chat, document editing.
  • Usage recorded per unique user.
  • Department and job roles included.
  • Inactive periods (no usage) flagged.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-work-collaboration-tool-usage

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