Hybrid Nonprofit Staff Operations Tracker

This dataset provides detailed daily records of nonprofit staff activity, capturing remote and onsite work modes, digital engagement, task completion, and operational efficiency metrics. Designed for hybrid teams, it enables organizations to optimize resource allocation, identify workflow bottlenecks, and enhance team productivity during digital transformation. The flat structure supports robust reporting, analytics, and workforce management.

  • last updated 23 Dec 2025
  • by GoMask
The brief that made it

Monitor and optimize nonprofit staff resource allocation and productivity

Sample rows

preview · 8 of 80 rows · all 21 columns
staff_idstringwork_modestringhours_workedfloatmanager_idstringfirst_namestringlast_namestringemailstringrolestringdepartmentstringactivity_datedatecheck_in_timedatetimecheck_out_timedatetimetasks_completedintegertasks_pendingintegerdigital_engagement_scorefloatmeetings_attendedintegerissues_reportedintegerlocation_citystringlocation_statestringlocation_countrystringnotesstring
STF001onsite8.25STF015JillianNguyenjillian.nguyen@impactnow.orgProgram ManagerCommunity Outreach2024-05-132024-05-13T08:17:002024-05-13T16:32:007282.330DenverCOUSACoordinated volunteer orientation; high engagement.
STF002remote8.22STF017BradleySinghbradley.singh@impactnow.orgIT SpecialistTechnology2024-05-132024-05-13T09:02:002024-05-13T17:15:005093.721blankblankblankResolved ticket backlog; reported VPN issue.
STF003hybrid7.63STF011AlejandraCruzalejandra.cruz@impactnow.orgFundraising AssociateDevelopment2024-05-132024-05-13T10:22:002024-05-13T18:00:006188.420San JoseCAUSAPrepared donor call scripts.
STF004onsite8.32STF013MohammedAlvimohammed.alvi@impactnow.orgOperations CoordinatorOperations2024-05-132024-05-13T07:58:002024-05-13T16:17:008275.112ChicagoILUSAFacility maintenance scheduled.
STF005remote8.1STF001PaigeAndersonpaige.anderson@impactnow.orgVolunteer CoordinatorCommunity Outreach2024-05-132024-05-13T08:44:002024-05-13T16:50:009098.230blankblankblankVirtual volunteer check-ins completed.
STF006hybrid8STF014LucasEvanslucas.evans@impactnow.orgCommunications SpecialistMarketing2024-05-132024-05-13T09:30:002024-05-13T17:30:007167.621AustinTXUSADrafted press release.
STF007onsite8.17STF016FatimaKhanfatima.khan@impactnow.orgHR SpecialistHuman Resources2024-05-132024-05-13T08:00:002024-05-13T16:10:004161.421SeattleWAUSAOnboarded new staff.
STF008remote7.9STF019SamuelLeesamuel.lee@impactnow.orgFinance OfficerFinance2024-05-142024-05-14T09:11:002024-05-14T17:05:005254.710blankblankblankProcessed expense reimbursements.

What the 80 rows show

from the 80-row sample

Onsite (work mode) stands out: mean hours_worked is 8.3, against 7.7 for the rest.

  • 7.9median hours_worked
  • 7location states
  • 8location cities
  • 15departments
  • 6median tasks_completed
  • 1median tasks_pending
Mean hours_worked by work_mode80 rows
05108.3onsite27 rows7.7remote30 rows7.7hybrid23 rows
hours_worked80 rows, in bands of 0.25
0153027572419132016.7589.25hours_worked →

Median 7.9, from 6.9 to 9.0.

manager_id71 rows with a value · 9 left blank
  1. STAFF202400512
  2. STAFF20240018
  3. STF0176
  4. STF0135
  5. STF0145
  6. STAFF20240235
  7. STF0014
  8. STAFF20240174
  9. STF0153
  10. STF0113
21 columns by typefrom the column list below
  • string 12
  • integer 4
  • float 2
  • date 1
  • datetime 2

Columns

21 columns in three groups
blueprint · 21 columns
columntypedescriptionexample
Text 12 columns
staff_idstringUnique identifier for each staff memberuniqueSTF001
first_namestringStaff member's first nameJillian
last_namestringStaff member's last nameNguyen
emailstringStaff member's email addressuniquesamuel.lee@impactnow.org
rolestringStaff member's job title or roleProgram Manager
departmentstringDepartment or team the staff member belongs tooptionalCommunity Outreach
manager_idstringStaff ID of the manager or supervisoroptionalSTF015
work_modestringWork mode for the staff member on a given day (onsite, remote, hybrid, leave)onsite · remote · hybrid · leaveonsite
location_citystringCity where the staff member worked on the activity date (if onsite or hybrid)8 cities · optionalDenver
location_statestringState or province where the staff member worked on the activity date (if onsite or hybrid)7 states · optionalCO
location_countrystringCountry where the staff member worked on the activity date (if onsite or hybrid)optionalUSA
notesstringAdditional notes or comments about the staff member's activity or operational issuesoptionalDrafted press release.
Numbers 6 columns
hours_workedfloatTotal hours worked by the staff member on the activity date0 or more · optional8.25
tasks_completedintegerNumber of assigned tasks completed on the activity date0 or more · optional7
tasks_pendingintegerNumber of assigned tasks still pending at the end of the activity date0 or more · optional2
digital_engagement_scorefloatScore representing the staff member's digital engagement (e.g., logins, collaboration, tool usage) for the activity date0 to 100 · optional82.3
meetings_attendedintegerNumber of meetings attended by the staff member on the activity date0 or more · optional3
issues_reportedintegerNumber of workflow or operational issues reported by the staff member on the activity date0 or more · optional0
Dates and times 3 columns
activity_datedateDate for which the activity record applies2024-05-13
check_in_timedatetimeTime when staff member checked in for workoptional2024-05-13T08:17:00
check_out_timedatetimeTime when staff member checked out from workoptional2024-05-13T16:32:00

Use it for

  • median hours w…7.980 rowsmean hours worked by …8.3onsite7.7remote7.7hybrid

    A human resources dashboard

    Hours_worked by work_mode and a breakdown of manager_id. Excel, Power BI or Tableau.

  • Why do the 27 onsite rows have a mean hours_worked of 8.3?

    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 staffs with first_name, last_name and email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset80 rows21 columns
Yours1,000 rows21 columnslocation_city: UK only

blueprint · hybrid-nonprofit-staff-operations-tracker

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 21 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
  • Include both remote and onsite staff for each operational day
  • Track activity types (meetings, outreach, admin, training) with time spent
  • Log digital tool usage rates and connectivity issues per shift
  • Flag days with missed KPIs or delayed deliverables
  • Include anonymized staff role and project association
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
hybrid-nonprofit-staff-operations-tracker

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