Workplace Digital Tool Adoption
This dataset provides detailed, timestamped logs of employee interactions with workplace digital tools, including user, tool, device, and location metadata. It enables comprehensive analysis of digital tool adoption, user engagement, and IT transformation initiatives, supporting both operational monitoring and strategic decision-making.
Sample rows
preview · 8 of 200 rows · all 17 columns| log_idstring | interaction_typestring | action_duration_secondsfloat | interaction_successboolean | tool_idstring | employee_idstring | employee_departmentstring | employee_rolestring | tool_namestring | tool_categorystring | interaction_timestampdatetime | device_typestring | location_citystring | location_statestring | location_countrystring | session_idstring | error_codestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A9K8X1D2 | login | 3.2 | true | T-1001 | EMP123A | Finance | Financial Analyst | Slack | communication | 2024-04-15T09:14:22 | desktop | Chicago | IL | USA | S-54321 | blank |
| F7J2M8K9 | message_sent | 12.7 | true | T-1002 | EMP456B | HR | HR Generalist | Microsoft Teams | collaboration | 2024-04-15T10:02:18 | mobile | New York | NY | USA | S-98765 | blank |
| Z2H7Q6W3 | file_upload | 6.5 | true | T-1003 | EMP789C | IT | System Administrator | Jira | productivity | 2024-04-15T11:28:46 | desktop | San Francisco | CA | USA | S-13579 | blank |
| M1V5B8P7 | file_download | 14.9 | true | T-1004 | EMP101D | Marketing | Content Strategist | Google Drive | productivity | 2024-04-15T12:47:59 | tablet | Austin | TX | USA | S-24680 | blank |
| Q4T8R3L6 | settings_change | 2 | false | T-1005 | EMP202E | Sales | Account Executive | Salesforce | analytics | 2024-04-15T13:33:10 | desktop | Seattle | WA | USA | S-31415 | ERR-401 |
| Y9U3K1A5 | message_received | 7.4 | true | T-1001 | EMP303F | Finance | Finance Manager | Slack | communication | 2024-04-15T14:21:34 | mobile | Phoenix | AZ | USA | S-11223 | blank |
| C6G9N2E8 | logout | 1.9 | true | T-1002 | EMP404G | HR | HR Coordinator | Microsoft Teams | collaboration | 2024-04-15T15:07:55 | desktop | Boston | MA | USA | S-33445 | blank |
| S1P7A9D3 | file_upload | 11.1 | true | T-1003 | EMP505H | IT | Security Engineer | Jira | productivity | 2024-04-15T16:22:41 | desktop | Denver | CO | USA | S-55667 | blank |
| L8W4R1F2 | login | 2.5 | true | T-1004 | EMP606I | Marketing | Digital Marketer | Google Drive | productivity | 2024-04-15T17:30:58 | mobile | Miami | FL | USA | S-77889 | blank |
| J3M9T2B7 | message_sent | 9.6 | true | T-1005 | EMP707J | Sales | Sales Manager | Salesforce | analytics | 2024-04-15T18:45:13 | desktop | Dallas | TX | USA | S-99001 | blank |
| N5T6B2C4 | logout | 1.2 | true | T-1001 | EMP123A | Finance | Financial Analyst | Slack | communication | 2024-04-16T08:03:27 | desktop | Chicago | IL | USA | S-54321 | blank |
| X2J3Q5V8 | settings_change | 0.8 | false | T-1002 | EMP456B | HR | HR Generalist | Microsoft Teams | collaboration | 2024-04-16T09:16:09 | tablet | New York | NY | USA | S-98765 | ERR-402 |
| B7V2M6N5 | message_received | 8.3 | true | T-1003 | EMP789C | IT | System Administrator | Jira | productivity | 2024-04-16T10:24:31 | desktop | San Francisco | CA | USA | S-13579 | blank |
| E5J8K9H3 | file_download | 6.2 | true | T-1004 | EMP101D | Marketing | Content Strategist | Google Drive | productivity | 2024-04-16T11:42:56 | desktop | Austin | TX | USA | S-24680 | blank |
| W4L2R9T5 | file_upload | 13.3 | true | T-1005 | EMP202E | Sales | Account Executive | Salesforce | analytics | 2024-04-16T12:54:08 | mobile | Seattle | WA | USA | S-31415 | blank |
| U3C8P1K7 | login | 2.8 | true | T-1001 | EMP303F | Finance | Finance Manager | Slack | communication | 2024-04-16T13:36:44 | desktop | Phoenix | AZ | USA | S-11223 | blank |
| D6G4N8X2 | logout | 1.6 | true | T-1002 | EMP404G | HR | HR Coordinator | Microsoft Teams | collaboration | 2024-04-16T14:49:20 | mobile | Boston | MA | USA | S-33445 | blank |
| K1U8A3S7 | file_download | 7.9 | true | T-1003 | EMP505H | IT | Security Engineer | Jira | productivity | 2024-04-16T15:57:02 | desktop | Denver | CO | USA | S-55667 | blank |
| V9B5C2E6 | settings_change | 0.4 | false | T-1004 | EMP606I | Marketing | Digital Marketer | Google Drive | productivity | 2024-04-16T16:39:15 | tablet | Miami | FL | USA | S-77889 | ERR-403 |
| H2N7W4G8 | message_received | 10.2 | true | T-1005 | EMP707J | Sales | Sales Manager | Salesforce | analytics | 2024-04-16T17:51:30 | desktop | Dallas | TX | USA | S-99001 | blank |
What the 200 rows show
from the 200-row sampleLogout (interaction type) stands out: mean action_
- 85%interaction_
success = true - 10.3median action_
duration_ seconds - 3device types
- 5tool categories
- 9employee departments
- 23location countries
Median 10.3, from 0.0 to 44.2.
- string 14
- float 1
- datetime 1
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
log_id | string | Unique identifier for each interaction log entryunique | A9K8X1D2 |
employee_id | string | Unique identifier for the employee performing the interaction | EMP123A |
employee_department | string | Department to which the employee belongs9 departments | Finance |
employee_role | string | Job role or title of the employeeoptional | Financial Analyst |
tool_id | string | Unique identifier for the digital tool interacted with | T-1001 |
tool_name | string | Name of the digital tool | Slack |
tool_category | string | Category of the digital tool (e.g., communication, productivity, collaboration)5 values · optional | communication |
interaction_type | string | Type of interaction performed (e.g., login, file_upload, message_sent)8 values | login |
device_type | string | Type of device used for the interaction (e.g., desktop, mobile, tablet)desktop · mobile · tablet · other · optional | desktop |
location_city | string | City where the interaction took placeoptional | Chicago |
location_state | string | State or region where the interaction took placeoptional | IL |
location_country | string | Country where the interaction took placeoptional | USA |
session_id | string | Identifier for the user's session during which the interaction occurredoptional | S-54321 |
error_code | string | Error code if the interaction failed; blank if successfuloptional | ERR-401 |
| Numbers 1 column | |||
action_duration_seconds | float | Duration of the interaction in seconds0 or more · optional | 3.2 |
| Dates and times 1 column | |||
interaction_timestamp | datetime | Date and time when the interaction occurred | 2024-04-15T09:14:22 |
| True or false 1 column | |||
interaction_success | boolean | Indicates whether the interaction was successful | true |
Use it for
A technology dashboard
The interaction_
success rate, action_ duration_ seconds by interaction_ type and a breakdown of tool_ id. Excel, Power BI or Tableau. Why do the 30 logout rows have a mean action_
duration_ seconds of 4.9? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs200A9K8X1D23.2loginF7J2M8K912.7message_…Q4T8R3L62settings…
A software demo
Believable logs with employee_
id, employee_ department and employee_ role to fill a screen in front of a buyer.
blueprint · workplace-digital-tool-adoption
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 17 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.
- Tool type: comm, productivity, analytics
- Usage frequency tracked per week
- Employee department mapped
- Adoption flags for new tools
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
- workplace-digital-tool-adoption