Remote Volunteer Engagement Metrics

This dataset provides detailed metrics on remote volunteer engagement for nonprofits, tracking individual participation, activity types, engagement levels, and measurable impact across virtual programs. It enables organizations to optimize volunteer management, monitor operational outcomes, and fulfill ESG or grant compliance reporting requirements.

  • last updated 26 Nov 2025
  • by GoMask
The brief that made it

Optimize remote volunteer program management and resource allocation

Sample rows

preview · 8 of 60 rows · all 19 columns
volunteer_idstringactivity_typestringimpact_valuefloatis_esg_compliantbooleanimpact_metricstringvolunteer_namestringvolunteer_emailstringorganization_idstringorganization_namestringactivity_idstringactivity_namestringactivity_start_datetimedatetimeactivity_end_datetimedatetimeparticipation_statusstringengagement_scorefloathours_contributedfloatreporting_period_startdatereporting_period_enddateis_grant_compliantboolean
vol_001mentoring3truementees supportedJessica Leejessica.lee21@example.orgorg_1001Global Youth Connectact_5001Virtual Mentoring Session2023-03-12T10:00:002023-03-12T11:30:00completed92.51.52023-03-012023-03-31true
vol_002fundraising1500.75truefunds raisedMohammed Al-Farouqmohammed.farouq@example.netorg_1002Green Future Foundationact_5002Online Fundraiser2023-02-20T18:00:002023-02-20T21:00:00completed87.232023-02-012023-02-28false
vol_003admin_support12falsecases processedTanya Rodrigueztanya.rod@example.comorg_1003Learning Allies Networkact_5003Admin Support Shift2023-04-03T09:00:002023-04-03T11:00:00attended7522023-04-012023-04-30true
vol_004outreach24truecalls madeEmily Zhangemilyz_zhang@example.orgorg_1004Care & Share Collectiveact_5004Outreach Campaign Call2023-03-18T13:00:002023-03-18T14:30:00completed81.61.52023-03-012023-03-31true
vol_005training11falsevolunteers trainedLuis Martinezluis.martinez@example.coorg_1001Global Youth Connectact_5005Virtual Training2023-04-10T16:00:002023-04-10T18:00:00attended66.822023-04-012023-04-30false
vol_006mentoringblankfalseblankNatalie Brownnbrown_2023@example.netorg_1005Urban Impact Initiativeact_5006Mentoring Kickoff2023-04-20T10:00:002023-04-20T11:00:00registered002023-04-012023-04-30false
vol_007fundraising500.6falsefunds raisedSamuel Kimsamuel.kim@example.comorg_1002Green Future Foundationact_5007Online Fundraiser2023-02-21T18:00:002023-02-21T21:00:00attended42.32.52023-02-012023-02-28true
vol_008admin_supportblankfalseblankAnita Desaianita.desai@example.orgorg_1003Learning Allies Networkact_5008Admin Support Shift2023-04-05T09:00:002023-04-05T10:00:00no_show002023-04-012023-04-30false

What the 60 rows show

from the 60-row sample

Fundraising (activity type) stands out: mean impact_value is 1,192, against 13.9 for the rest.

  • 58%is_esg_compliant = true
  • 16.0median impact_value
  • 5participation statuses
  • 17organizations
  • 17organization names
  • 79.0median engagement_score
Mean impact_value by activity_type51 rows
01,0002,0003.7mentor…12 rows1,192fundra…10 rows20.1admin_…10 rows13.9traini…9 rows19.9outrea…10 rows
impact_value51 rows, in bands of 250
02550411121121101,2502,250impact_value →

Median 16.0, from 2.0 to 2,200.

impact_metric51 rows with a value · 9 left blank
  1. volunteers trained7
  2. mentees supported6
  3. funds raised5
  4. cases processed5
  5. calls made5
  6. students mentored3
  7. auction proceeds2
  8. students tutored2
  9. pledges received2
  10. emails sent1
19 columns by typefrom the column list below
  • string 10
  • float 3
  • date 2
  • datetime 2
  • boolean 2

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 10 columns
volunteer_idstringUnique identifier for each volunteeruniquevol_001
volunteer_namestringFull name of the volunteerJessica Lee
volunteer_emailstringEmail address of the volunteeruniquetanya.rod@example.com
organization_idstringUnique identifier for the nonprofit organizationorg_1001
organization_namestringName of the nonprofit organizationGlobal Youth Connect
activity_idstringUnique identifier for the virtual volunteer activityact_5001
activity_namestringName of the virtual volunteer activityOnline Fundraiser
activity_typestringType of virtual activity (e.g., mentoring, fundraising, admin support)6 valuesmentoring
participation_statusstringStatus of volunteer participation (e.g., registered, attended, completed, cancelled)registered · attended · completed · cancelled · no_showcompleted
impact_metricstringDescription or label of the impact metric measured (e.g., funds raised, people mentored)optionalmentees supported
Numbers 3 columns
engagement_scorefloatQuantitative score representing volunteer engagement in the activity (e.g., 0-100)0 to 100 · optional92.5
hours_contributedfloatTotal hours contributed by the volunteer for the activity0 or more · optional1.5
impact_valuefloatNumeric value of the impact achieved (e.g., amount raised, number of beneficiaries)0 or more · optional3
Dates and times 4 columns
activity_start_datetimedatetimeStart date and time of the activity2023-03-12T10:00:00
activity_end_datetimedatetimeEnd date and time of the activityoptional2023-03-12T11:30:00
reporting_period_startdateStart date of the reporting period for ESG or grant complianceoptional2023-03-01
reporting_period_enddateEnd date of the reporting period for ESG or grant complianceoptional2023-03-31
True or false 2 columns
is_esg_compliantbooleanIndicates if the activity meets ESG compliance requirementsoptionaltrue
is_grant_compliantbooleanIndicates if the activity meets grant compliance requirementsoptionaltrue

Use it for

  • is esg complia…58%35 of 60 rowsmean impact value by …3.7ment…1.2kfund…20.1admi…13.9trai…

    A human resources dashboard

    The is_esg_compliant rate, impact_value by activity_type and a breakdown of impact_metric. Excel, Power BI or Tableau.

  • Why do the 10 fundraising rows have a mean impact_value of 1,192?

    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 volunteers with volunteer_name, volunteer_email and organization_id to fill a screen in front of a buyer.

Not quite right?

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This dataset60 rows19 columns
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blueprint · remote-volunteer-engagement-metrics

Behind this dataset

Same schema. As many rows as you need.

These 60 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
  • Track volunteer hours logged for each activity
  • Categorize engagement type (training, event, support)
  • Include feedback rating from volunteers (1-5)
  • Calculate impact score based on activity outcomes
  • Flag volunteers inactive for more than 30 days
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-volunteer-engagement-metrics

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