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.

  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Modeling user engagement and adoption of workplace digital tools

Sample rows

preview · 8 of 200 rows · all 17 columns
log_idstringinteraction_typestringaction_duration_secondsfloatinteraction_successbooleantool_idstringemployee_idstringemployee_departmentstringemployee_rolestringtool_namestringtool_categorystringinteraction_timestampdatetimedevice_typestringlocation_citystringlocation_statestringlocation_countrystringsession_idstringerror_codestring
A9K8X1D2login3.2trueT-1001EMP123AFinanceFinancial AnalystSlackcommunication2024-04-15T09:14:22desktopChicagoILUSAS-54321blank
F7J2M8K9message_sent12.7trueT-1002EMP456BHRHR GeneralistMicrosoft Teamscollaboration2024-04-15T10:02:18mobileNew YorkNYUSAS-98765blank
Z2H7Q6W3file_upload6.5trueT-1003EMP789CITSystem AdministratorJiraproductivity2024-04-15T11:28:46desktopSan FranciscoCAUSAS-13579blank
M1V5B8P7file_download14.9trueT-1004EMP101DMarketingContent StrategistGoogle Driveproductivity2024-04-15T12:47:59tabletAustinTXUSAS-24680blank
Q4T8R3L6settings_change2falseT-1005EMP202ESalesAccount ExecutiveSalesforceanalytics2024-04-15T13:33:10desktopSeattleWAUSAS-31415ERR-401
Y9U3K1A5message_received7.4trueT-1001EMP303FFinanceFinance ManagerSlackcommunication2024-04-15T14:21:34mobilePhoenixAZUSAS-11223blank
C6G9N2E8logout1.9trueT-1002EMP404GHRHR CoordinatorMicrosoft Teamscollaboration2024-04-15T15:07:55desktopBostonMAUSAS-33445blank
S1P7A9D3file_upload11.1trueT-1003EMP505HITSecurity EngineerJiraproductivity2024-04-15T16:22:41desktopDenverCOUSAS-55667blank

What the 200 rows show

from the 200-row sample

Logout (interaction type) stands out: mean action_duration_seconds is 4.9, against 12.6 for the rest.

  • 85%interaction_success = true
  • 10.3median action_duration_seconds
  • 3device types
  • 5tool categories
  • 9employee departments
  • 23location countries
Mean action_duration_seconds by interaction_type200 rows
010207.4login32 ro…4.9logo…30 ro…15.3file…29 ro…13.9file…30 ro…11.9mess…22 ro…9.8mess…21 ro…16.0sett…36 ro…
action_duration_seconds200 rows, in bands of 5
035703264503412421102545action_duration_seconds →

Median 10.3, from 0.0 to 44.2.

tool_id200 rows · top 10 of 38 values
  1. T-10018
  2. T-10028
  3. T-10038
  4. T-10048
  5. T-10058
  6. TL-00238
  7. TL-0027
  8. TL-0117
  9. TL-0087
  10. TL-3037
17 columns by typefrom the column list below
  • string 14
  • float 1
  • datetime 1
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 14 columns
log_idstringUnique identifier for each interaction log entryuniqueA9K8X1D2
employee_idstringUnique identifier for the employee performing the interactionEMP123A
employee_departmentstringDepartment to which the employee belongs9 departmentsFinance
employee_rolestringJob role or title of the employeeoptionalFinancial Analyst
tool_idstringUnique identifier for the digital tool interacted withT-1001
tool_namestringName of the digital toolSlack
tool_categorystringCategory of the digital tool (e.g., communication, productivity, collaboration)5 values · optionalcommunication
interaction_typestringType of interaction performed (e.g., login, file_upload, message_sent)8 valueslogin
device_typestringType of device used for the interaction (e.g., desktop, mobile, tablet)desktop · mobile · tablet · other · optionaldesktop
location_citystringCity where the interaction took placeoptionalChicago
location_statestringState or region where the interaction took placeoptionalIL
location_countrystringCountry where the interaction took placeoptionalUSA
session_idstringIdentifier for the user's session during which the interaction occurredoptionalS-54321
error_codestringError code if the interaction failed; blank if successfuloptionalERR-401
Numbers 1 column
action_duration_secondsfloatDuration of the interaction in seconds0 or more · optional3.2
Dates and times 1 column
interaction_timestampdatetimeDate and time when the interaction occurred2024-04-15T09:14:22
True or false 1 column
interaction_successbooleanIndicates whether the interaction was successfultrue

Use it for

  • interaction su…85%170 of 200 rowsmean action duration …7.4login4.9logo…15.3file…13.9file…

    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.

  • A software demo

    Believable logs with employee_id, employee_department and employee_role to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows17 columns
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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.

Rules it was built with
  • Tool type: comm, productivity, analytics
  • Usage frequency tracked per week
  • Employee department mapped
  • Adoption flags for new tools
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
workplace-digital-tool-adoption

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