Government Digital Service Adoption

This dataset provides detailed records of citizen interactions with digital government platforms, including demographic information, engagement types, channels, service outcomes, and feedback. It enables comprehensive analysis of service adoption, user experience, and outreach effectiveness, supporting data-driven improvements in public sector digital services.

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

Monitoring citizen adoption and usage patterns of digital government services

Sample rows

preview · 8 of 200 rows · all 17 columns
engagement_idstringservice_outcomestringfeedback_scoreintegercitizen_countrystringcitizen_idstringplatform_idstringplatform_namestringservice_idstringservice_namestringengagement_datetimedatetimeengagement_typestringengagement_channelstringengagement_duration_secondsintegercitizen_age_groupstringcitizen_genderstringcitizen_postal_codestringfeedback_commentsstring
A9F2-7B3Csuccess4UKCITZ1001PLTF001Tax PortalSRVC101Tax Filing2024-02-05T10:14:23Zloginweb11225-34femaleW1A 1AAQuick and easy process, thanks.
B8Z7-3C1Dpending3USACITZ1002PLTF002Benefits PortalSRVC201Unemployment Benefits Application2024-02-05T11:43:56Zapplication_submissionweb164545-54male90210Application took longer than expected.
C1X5-2M8Qsuccess5CanadaCITZ1003PLTF003Healthcare PortalSRVC301Vaccination Appointment Booking2024-02-06T09:05:17Zinformation_requestmobile_app21035-44femaleA1B 2C3Very helpful and user-friendly.
D4Y6-8P2Ksuccess4FranceCITZ1004PLTF004Transport PortalSRVC401Driver's License Renewal2024-02-07T13:22:41Zdocument_uploadweb55255-64male75001Uploading documents was simple.
E5M8-6N3Ssuccess5GermanyCITZ1005PLTF002Benefits PortalSRVC202Disability Benefits Inquiry2024-02-07T16:12:18Zinformation_requestphone34165+female10115Agent was very informative.
F7Q1-2C9Lsuccess4UKCITZ1006PLTF001Tax PortalSRVC102Tax Payment2024-02-08T08:49:36Zloginmobile_app9535-44maleSW1A 2AAMobile experience was smooth.
G2J8-5P6Xsuccess5USACITZ1007PLTF003Healthcare PortalSRVC302Prescription Renewal2024-02-08T15:15:07Zapplication_submissionweb36745-54female10001Renewal processed quickly.
H5T3-7B4Qsuccess4FranceCITZ1008PLTF004Transport PortalSRVC402Vehicle Registration2024-02-09T17:30:10Zdocument_uploadweb43325-34male75018Good instructions for upload.

What the 200 rows show

from the 200-row sample

Success (service outcome) stands out: mean feedback_score is 4.3, against 2.8 for the rest.

  • 4median feedback_score
  • 4engagement channels
  • 5citizen genders
  • 6engagement types
  • 7platform names
  • 7citizen age groups
Mean feedback_score by service_outcome193 rows
0484.3success149 rows1.5failure2 rows2.9pending40 rows2.0cancelled2 rows
feedback_score193 rows, in bands of 0.5
04080101603807266135feedback_score →

Median 4, from 1 to 5.

citizen_country200 rows · top 10 of 31 values
  1. UK32
  2. Canada21
  3. France20
  4. Germany18
  5. USA12
  6. AT8
  7. GB7
  8. Italy7
  9. Australia6
  10. India6
17 columns by typefrom the column list below
  • string 14
  • integer 2
  • datetime 1

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 14 columns
engagement_idstringUnique identifier for each citizen engagement recorduniqueA9F2-7B3C
citizen_idstringUnique identifier for the citizen (anonymized if necessary)CITZ1001
platform_idstringUnique identifier for the digital government platformPLTF001
platform_namestringName of the digital government platform (e.g., Tax Portal, Benefits Portal)7 namesTax Portal
service_idstringUnique identifier for the specific government service accessedSRVC101
service_namestringName of the government service accessed (e.g., Tax Filing, Passport Renewal)Tax Filing
engagement_typestringType of engagement (e.g., login, application submission, information request)6 valueslogin
engagement_channelstringChannel used for engagement (e.g., web, mobile app, kiosk)web · mobile_app · kiosk · phone · otherweb
citizen_age_groupstringAge group of the citizen (e.g., 18-24, 25-34, 35-44, etc.)7 values · optional25-34
citizen_genderstringGender of the citizenmale · female · non_binary · prefer_not_to_say · other · optionalfemale
citizen_postal_codestringPostal code of the citizen's residenceoptionalW1A 1AA
citizen_countrystringCountry of the citizen's residenceoptionalUK
service_outcomestringOutcome of the engagement (e.g., success, failure, pending)success · failure · pending · cancelled · optionalsuccess
feedback_commentsstringOptional free-text feedback provided by the citizenoptionalForm was confusing.
Numbers 2 columns
engagement_duration_secondsintegerDuration of the engagement in seconds0 or more · optional112
feedback_scoreintegerOptional feedback score provided by the citizen (1-5 scale)1 to 5 · optional4
Dates and times 1 column
engagement_datetimedatetimeDate and time when the citizen engaged with the platform/service2024-02-05T10:14:23Z

Use it for

  • median feedbac…4193 rowsmean feedback score b…4.3succ…1.5fail…2.9pend…2.0canc…

    A government dashboard

    Feedback_score by service_outcome and a breakdown of citizen_country. Excel, Power BI or Tableau.

  • Why do the 149 success rows have a mean feedback_score of 4.3?

    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 engagements with citizen_id, platform_id and platform_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows17 columns
Yours1,000 rows17 columnscitizen_postal_code: UK only

blueprint · government-digital-service-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
  • Usage tracked by service type
  • Exclude duplicate logins
  • Monthly unique user summary
  • Include only active services
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-digital-service-adoption

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