Nonprofit Grant Workflow Event Log

This dataset provides a comprehensive event log for nonprofit grant management workflows, capturing every step from application submission to review, approval, and remote collaboration. It enables detailed analysis of operational efficiency, transparency, and distributed team performance, supporting process optimization and improved grant outcomes.

  • last updated 28 Nov 2025
  • by GoMask
The brief that made it

Operational process analysis and bottleneck identification in grant management

Sample rows

preview · 8 of 120 rows · all 19 columns
event_idstringevent_typestringprocessing_duration_minutesfloatremote_participationbooleanapplication_categorystringgrant_application_idstringapplicant_organization_namestringapplication_submitted_datedateevent_timestampdatetimeactor_user_idstringactor_namestringactor_rolestringreview_decisionstringapproval_statusstringcollaboration_toolstringapplication_amount_requestedfloatapplication_amount_approvedfloatapplication_titlestringcomment_textstring
EVT-0001submission30.5falseenvironmentGRA-1001Green Future Initiative2024-03-122024-03-12T09:10:00USR-201Linda Tranapplicantblankpendingblank50000blankUrban Green Spaces Revitalizationblank
EVT-0002submission24falsehealthGRA-1002Healthy Hearts Foundation2024-03-142024-03-14T15:25:00USR-202James Ahmedapplicantblankpendingblank75000blankCommunity Cardiovascular Screeningblank
EVT-0003review56.4trueenvironmentGRA-1001Green Future Initiative2024-03-122024-03-13T10:30:00USR-301Maya O'Neillreviewerneeds revisionneeds revisionTeams50000blankUrban Green Spaces RevitalizationPlease provide additional details on community engagement.
EVT-0004submission31.2falseeducationGRA-1003Bright Minds Academy2024-03-152024-03-15T14:08:00USR-203Katherine Leeapplicantblankpendingblank62000blankAfter School STEM Programblank
EVT-0005review49.7truehealthGRA-1002Healthy Hearts Foundation2024-03-142024-03-15T11:45:00USR-302Samuel YatesreviewerapprovedapprovedZoom7500068000Community Cardiovascular ScreeningStrong proposal with clear objectives.
EVT-0006comment15.8trueenvironmentGRA-1001Green Future Initiative2024-03-122024-03-13T15:22:00USR-301Maya O'Neillreviewerblankneeds revisionTeams50000blankUrban Green Spaces RevitalizationLooking forward to the revised proposal.
EVT-0007submission28falsehousingGRA-1004Hope for Tomorrow2024-03-172024-03-17T09:37:00USR-204David Kimapplicantblankpendingblank47000blankEmergency Shelter Expansionblank
EVT-0008review67.2truehousingGRA-1004Hope for Tomorrow2024-03-172024-03-18T10:05:00USR-303Priya PatelreviewerapprovedapprovedSlack4700047000Emergency Shelter ExpansionMeets urgent community needs.

What the 120 rows show

from the 120-row sample

Review (event type) stands out: mean processing_duration_minutes is 48.9, against 26.3 for the rest.

  • 39%remote_participation = true
  • 32.8median processing_duration_minutes
  • 3actor roles
  • 3review decisions
  • 3collaboration tools
  • 5approval statuses
Mean processing_duration_minutes by event_type120 rows
05010030.6submi…45 rows48.9review49 rows19.3appro…18 rows15.4rejec…2 rows15.8comme…1 rows18.2update5 rows
processing_duration_minutes120 rows, in bands of 10
02040120312321166110050100processing_duration_minutes →

Median 32.8, from 9.8 to 88.9.

application_category120 rows · 8 values
  1. health36
  2. education33
  3. environment31
  4. arts6
  5. housing4
  6. food4
  7. youth4
  8. safety2
19 columns by typefrom the column list below
  • string 13
  • float 3
  • date 1
  • datetime 1
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 13 columns
event_idstringUnique identifier for each workflow event log entryuniqueEVT-0001
grant_application_idstringUnique identifier for the grant application associated with the eventGRA-1001
applicant_organization_namestringName of the nonprofit organization applying for the grantGreen Future Initiative
event_typestringType of workflow event (e.g., submission, review, approval, comment, collaboration)7 valuessubmission
actor_user_idstringUnique identifier for the user who performed the eventUSR-201
actor_namestringName of the user who performed the eventLinda Tran
actor_rolestringRole of the user in the workflow (e.g., applicant, reviewer, approver, collaborator)applicant · reviewer · approver · collaborator · adminapplicant
review_decisionstringDecision made during review events (e.g., approved, rejected, needs revision); blank for non-review eventsapproved · rejected · needs revision · · optionalneeds revision
approval_statusstringCurrent approval status of the grant application at the time of the eventpending · approved · rejected · in review · needs revision · optionalpending
collaboration_toolstringName of the remote collaboration tool used (e.g., Zoom, Teams, Slack); blank if not applicable3 tools · optionalTeams
comment_textstringText of any comment or note made during the event; blank if not applicableoptionalStrong leadership focus.
application_titlestringTitle or short description of the grant applicationTech Skills for Women
application_categorystringCategory or focus area of the grant application (e.g., education, health, environment)8 categories · optionalenvironment
Numbers 3 columns
processing_duration_minutesfloatTime taken to process the event in minutes; blank if not applicable0 or more · optional30.5
application_amount_requestedfloatAmount of funding requested in the grant application0 or more · optional50000
application_amount_approvedfloatAmount of funding approved for the grant application; blank if not yet approved0 or more · optional68000
Dates and times 2 columns
application_submitted_datedateDate when the grant application was submitted2024-03-12
event_timestampdatetimeDate and time when the event occurred2024-03-12T09:10:00
True or false 1 column
remote_participationbooleanIndicates if the event involved remote participation (true/false)false

Use it for

  • remote partici…39%47 of 120 rowsmean processing durat…30.6subm…48.9revi…19.3appr…15.4reje…

    A government dashboard

    The remote_participation rate, processing_duration_minutes by event_type and a breakdown of application_category. Excel, Power BI or Tableau.

  • Why do the 49 review rows have a mean processing_duration_minutes of 48.9?

    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 events with grant_application_id, applicant_organization_name and application_submitted_date to fill a screen in front of a buyer.

Not quite right?

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blueprint · nonprofit-grant-workflow-event-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 19 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 event must be timestamped with UTC format.
  • Events must link to a specific grant application ID.
  • Remote team action logs must specify user role (reviewer, approver, coordinator).
  • Approval or rejection actions must include reason code.
  • Status changes are only permitted by authorized roles.
  • No duplicate event entries per grant per day.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-grant-workflow-event-log

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