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.
Sample rows
preview · 8 of 200 rows · all 15 columns| interaction_idstring | interaction_typestring | productivity_scorefloat | is_remoteboolean | manager_idstring | employee_idstring | employee_namestring | departmentstring | tool_namestring | interaction_datetimedatetime | duration_minutesfloat | project_codestring | location_citystring | location_countrystring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INTA1001 | Message Sent | 82.5 | true | EMP1007 | EMP1001 | Jessica Turner | Marketing | Slack | 2024-03-05T09:14:00Z | blank | PRJ-2024A1 | Austin | US | Sent update to project channel |
| INTA1002 | Meeting Attended | 74.3 | true | EMP1010 | EMP1002 | Samuel Lee | Finance | Zoom | 2024-03-05T11:02:00Z | 48.2 | PRJ-2024F3 | Toronto | CA | Quarterly budget review |
| INTA1003 | File Shared | 89.2 | true | EMP1012 | EMP1003 | Priya Patel | Engineering | Teams | 2024-03-06T15:44:00Z | blank | PRJ-2024E2 | Bangalore | IN | Shared design doc with backend team |
| INTA1004 | Meeting Hosted | 80 | false | EMP1013 | EMP1004 | Michael Chen | IT | Google Meet | 2024-03-07T08:20:00Z | 60 | PRJ-2024IT1 | San Francisco | US | Weekly infrastructure sync |
| INTA1005 | Task Created | 67.8 | true | EMP1011 | EMP1005 | Fatima Mansour | Product | Asana | 2024-03-07T13:33:00Z | blank | PRJ-2024P1 | London | GB | Created task for feature scoping |
| INTA1006 | Message Received | 60.5 | false | EMP1014 | EMP1006 | Lucas Schmidt | Sales | Slack | 2024-03-08T09:01:00Z | blank | PRJ-2024S2 | Berlin | DE | Received client feedback |
| INTA1007 | Meeting Attended | 71.4 | true | EMP1001 | EMP1007 | Anna Kim | Marketing | Teams | 2024-03-08T16:30:00Z | 34.6 | PRJ-2024A1 | Seoul | KR | Biweekly team catch-up |
| INTA1008 | Task Completed | 95.1 | true | EMP1012 | EMP1008 | Gabriel Oliveira | Engineering | Trello | 2024-03-09T10:12:00Z | blank | PRJ-2024E2 | Rio de Janeiro | BR | Completed sprint task |
| INTA1009 | Meeting Hosted | 77 | false | EMP1015 | EMP1009 | Olivia Jones | HR | Zoom | 2024-03-09T14:40:00Z | 45 | PRJ-2024HR1 | Chicago | US | Hosted new hire orientation |
| INTA1010 | File Shared | 53.2 | true | EMP1002 | EMP1010 | David Smith | Finance | Google Meet | 2024-03-09T17:15:00Z | blank | PRJ-2024F3 | Dublin | IE | Shared financial report |
| INTA1011 | Task Completed | 88.6 | true | EMP1005 | EMP1011 | Emily Zhang | Product | Asana | 2024-03-10T11:45:00Z | blank | PRJ-2024P1 | Shanghai | CN | Completed MVP deliverable |
| INTA1012 | Meeting Hosted | 85.4 | false | blank | EMP1012 | Carlos Fernandez | Engineering | Teams | 2024-03-10T15:00:00Z | 50 | PRJ-2024E2 | Madrid | ES | Hosted API integration meeting |
| INTA1013 | Other | 49 | true | EMP1016 | EMP1013 | Sarah Muller | IT | Other | 2024-03-11T08:55:00Z | blank | blank | Zurich | CH | Used custom monitoring tool |
| INTA1014 | Meeting Attended | 65.8 | true | EMP1006 | EMP1014 | Ivan Petrov | Sales | Zoom | 2024-03-11T12:15:00Z | 27.7 | PRJ-2024S2 | Moscow | RU | Attended prospect call |
| INTA1015 | Message Sent | 61 | true | EMP1009 | EMP1015 | Rebecca Wilson | HR | Teams | 2024-03-11T16:22:00Z | blank | PRJ-2024HR1 | Manchester | GB | Messaged benefits info |
| INTA1016 | Message Received | 44.8 | false | EMP1013 | EMP1016 | Tomislav Novak | IT | Slack | 2024-03-12T10:08:00Z | blank | blank | Zagreb | HR | Received bug report |
| INTA1017 | Task Created | 72.9 | true | EMP1007 | EMP1001 | Jessica Turner | Marketing | Asana | 2024-03-12T14:45:00Z | blank | PRJ-2024A1 | Austin | US | Created social media campaign task |
| INTA1018 | Message Sent | 56.2 | true | EMP1010 | EMP1002 | Samuel Lee | Finance | Slack | 2024-03-12T15:38:00Z | blank | PRJ-2024F3 | Toronto | CA | Sent update on expenses |
| INTA1019 | Task Completed | 93.8 | true | EMP1012 | EMP1003 | Priya Patel | Engineering | Teams | 2024-03-13T09:22:00Z | blank | PRJ-2024E2 | Bangalore | IN | Completed unit testing |
| INTA1020 | Meeting Attended | 75.7 | false | EMP1013 | EMP1004 | Michael Chen | IT | Google Meet | 2024-03-13T13:10:00Z | 41.9 | PRJ-2024IT1 | San Francisco | US | Attended server upgrade session |
What the 200 rows show
from the 200-row sampleTask Completed (interaction type) stands out: mean productivity_
- 64%is_
remote = true - 71.0median productivity_
score - 7tool names
- 10departments
- 54location countries
- 40.5median duration_
minutes
Median 71.0, from 38.9 to 97.3.
- string 11
- float 2
- datetime 1
- boolean 1
Columns
15 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
interaction_id | string | Unique identifier for each recorded interaction with a remote collaboration toolunique | INTA1001 |
employee_id | string | Unique identifier for the employee performing the interaction | EMP1001 |
employee_name | string | Full name of the employee | Jessica Turner |
department | string | Department or team the employee belongs to10 departments | Marketing |
manager_id | string | Unique identifier for the employee's manageroptional | EMP1007 |
tool_name | string | Name of the remote collaboration tool used (e.g., Zoom, Slack, Teams)7 values | Slack |
interaction_type | string | Type of interaction performed (e.g., message sent, meeting attended, file shared)8 values | Message Sent |
project_code | string | Code or identifier for the project associated with the interactionoptional | PRJ-2024A1 |
location_city | string | City from which the employee performed the interactionoptional | Austin |
location_country | string | Country from which the employee performed the interactionoptional | US |
notes | string | Optional notes or comments about the interactionoptional | Quarterly budget review |
| Numbers 2 columns | |||
duration_minutes | float | Duration of the interaction in minutes (if applicable, e.g., meeting length)0 or more · optional | 48.2 |
productivity_score | float | Estimated productivity impact score (0-100) assigned to the interaction0 to 100 · optional | 82.5 |
| Dates and times 1 column | |||
interaction_datetime | datetime | Date and time when the interaction occurred | 2024-03-05T09:14:00Z |
| True or false 1 column | |||
is_remote | boolean | Indicates if the interaction was performed remotely (true) or on-site (false) | true |
Use it for
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.
- Interactions200INTA100182.5Message …INTA100274.3Meeting …INTA100480Meeting …
A software demo
Believable interactions with employee_
id, employee_ name and department to fill a screen in front of a buyer.
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.
- 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.
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- remote-work-collaboration-tool-usage