Government Digital Service Adoption Logs

This dataset provides detailed logs of digital government service adoption across departments, including user onboarding rates, feature-level utilization, reported issues, and resource allocation. It enables digital transformation leaders to monitor rollout progress, identify adoption bottlenecks, and optimize strategies for increasing citizen engagement with public services. The structured data supports trend analysis, resource planning, and targeted improvements in digital government initiatives.

  • last updated 13 Jan 2026
  • by GoMask
The brief that made it

Monitor and report on digital service adoption across government departments

Sample rows

preview · 8 of 95 rows · all 18 columns
log_idstringresource_allocation_hoursfloatdepartment_namestringdepartment_idstringservice_idstringservice_namestringrollout_datedatelog_datedateonboarded_usersintegertotal_eligible_usersintegerfeature_namestringfeature_utilization_countintegerfeature_utilization_usersintegerissues_reported_countintegercritical_issues_countintegerissue_summarystringcitizen_engagement_countintegernotesstring
A1B2C3D4-0198.5Ministry of HealthDPT-001SV-1001e-Health Records2023-02-152023-03-018801200Patient Lookup520390122System lag during peak hours340Initial adoption phase; training ongoing
E5F6G7H8-0262Department of EducationDPT-002SV-1002Digital Classrooms2023-01-102023-02-05430600Assignment Submission29021081File upload failures150High educator adoption, students pending
I9J0K1L2-0334.5Transport AuthorityDPT-003SV-1003Online Permitting2023-03-202023-04-01290350Permit Renewal17012050blank110Smooth rollout, minimal training needed
M3N4O5P6-04120Ministry of FinanceDPT-004SV-1004Tax Filing Portal2023-02-012023-02-1510501300Form Submission860790154Incorrect form validation540Peak filing season
Q7R8S9T0-0588Social ServicesDPT-005SV-1005Benefit Applications2022-12-182023-01-10680800Claim Tracking390290102Claim status delays300Increased inquiries after holiday period
U1V2W3X4-06105.25Ministry of HealthDPT-001SV-1001e-Health Records2023-02-152023-03-159901200Lab Results43031091Delayed result uploads375Lab integration completed
Y5Z6A7B8-0759.8Department of EducationDPT-002SV-1002Digital Classrooms2023-01-102023-02-20480600Attendance Tracker34027060blank140Student onboarding increased
C1D2E3F4-0838Transport AuthorityDPT-003SV-1003Online Permitting2023-03-202023-04-15340350Application Status19015071Status updates delayed120Majority of permits processed online

What the 95 rows show

from the 95-row sample
  • 42.0median resource_allocation_hours
  • 10departments
  • 10services
  • 15service names
  • 347median onboarded_users
  • 350median total_eligible_users
resource_allocation_hours95 rows, in bands of 20
0204035121158587310100200resource_allocation_hours →

Median 42.0, from 4.8 to 182.0.

department_name95 rows · top 10 of 15 values
  1. Ministry of Health10
  2. Department of Education10
  3. Transport Authority10
  4. Ministry of Finance9
  5. Social Services9
  6. Department for Finance5
  7. Department for Environment5
  8. Department for Health5
  9. Department for Transport5
  10. Department for Education5
18 columns by typefrom the column list below
  • string 8
  • integer 7
  • float 1
  • date 2

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 8 columns
log_idstringUnique identifier for each adoption log entryuniqueA1B2C3D4-01
department_idstringUnique identifier for the government department10 departmentsDPT-001
department_namestringFull name of the government departmentMinistry of Health
service_idstringUnique identifier for the digital government service10 servicesSV-1001
service_namestringName of the digital service being adoptede-Health Records
feature_namestringName of a tracked feature within the digital servicePatient Lookup
issue_summarystringShort summary of the most significant issues reported (if any)optionalFile upload failures
notesstringAdditional notes or context for this log entryoptionalPeak filing season
Numbers 8 columns
onboarded_usersintegerNumber of users onboarded to the service as of log_date0 or more880
total_eligible_usersintegerTotal number of users eligible to onboard within the department0 or more1200
feature_utilization_countintegerNumber of times the feature was used during the log period0 or more520
feature_utilization_usersintegerNumber of unique users who used the feature during the log period0 or more390
issues_reported_countintegerNumber of issues reported for the service during the log period0 or more12
critical_issues_countintegerNumber of critical issues reported during the log period0 or more2
resource_allocation_hoursfloatTotal staff hours allocated to support the service during the log period0 or more · optional98.5
citizen_engagement_countintegerNumber of citizen interactions with the service during the log period0 or more · optional340
Dates and times 2 columns
rollout_datedateDate the digital service was rolled out to the department2023-02-15
log_datedateDate this log entry was recorded2023-03-01

Use it for

  • median resourc…42.095 rows

    A government dashboard

    Resource_allocation_hours and a breakdown of department_name. Excel, Power BI or Tableau.

  • What pattern can you find in 95 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 95 rows.

  • A software demo

    Believable logs with department_id, department_name and service_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 18 columns, your size and your rules. See 20 rows before you pay.

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This dataset95 rows18 columns
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blueprint · government-digital-service-adoption-logs

Behind this dataset

Same schema. As many rows as you need.

These 95 rows came out of a blueprint — 18 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
  • Each row represents a unique government department's adoption event.
  • Include service name, launch date, monthly active users, and usage rate change.
  • Log any reported issues or feedback along with time to resolution.
  • Departments can appear multiple times for different services or months.
  • Only core digital services (not internal IT tools) are included.
Rows
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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-logs

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