Volunteer Remote Engagement Metrics
This dataset provides a detailed view of remote volunteer engagement for nonprofit projects, including volunteer demographics, engagement activities, digital channels, retention, feedback, and project impact scores. It enables NGOs to analyze participation trends, optimize outreach strategies, and improve volunteer support for greater project effectiveness.
Sample rows
preview · 8 of 80 rows · all 17 columns| volunteer_idstring | engagement_typestring | volunteer_feedback_ratinginteger | volunteer_retainedboolean | volunteer_countrystring | volunteer_namestring | volunteer_emailstring | project_idstring | project_namestring | ngo_idstring | ngo_namestring | engagement_datedate | engagement_channelstring | engagement_duration_minutesinteger | engagement_success_scorefloat | project_impact_scorefloat | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VLT10001 | onboarding | 5 | true | Mexico | Maria Sanchez | maria.sanchez@ | PRJ5001 | Rural Literacy Program | NGO3001 | GlobalEd Foundation | 2024-03-06 | video_call | 45 | 0.88 | 80.5 | Smooth onboarding, highly motivated. |
| VLT10002 | training | 4 | true | United States | John Lee | john.lee@ | PRJ5002 | Virtual Tutoring | NGO3002 | LearnOnline Initiative | 2024-04-12 | platform | 60 | 0.92 | 67 | Participated actively in training module. |
| VLT10003 | project_work | 5 | true | Nigeria | Fatima Al-Hassan | fatima.hassan@ | PRJ5003 | Health Awareness Campaign | NGO3003 | Wellness Reach | 2024-02-21 | chat | 120 | 0.77 | 94.3 | Coordinated group chat for campaign planning. |
| VLT10004 | feedback | 3 | false | Russia | Pavel Ivanov | ivanov.pavel@ | PRJ5004 | Remote Disaster Relief | NGO3004 | First Response | 2024-01-18 | 15 | 0.63 | 55.8 | Provided feedback after project completion. | |
| VLT10005 | check_in | 4 | true | China | Lina Chen | lina.chen@ | PRJ5005 | Environmental Advocacy | NGO3005 | Green Tomorrow | 2024-05-02 | phone | 20 | 0.84 | 70.2 | Phone check-in regarding campaign progress. |
| VLT10006 | project_work | 5 | true | South Africa | Samuel Johnson | samuel.johnson@ | PRJ5006 | Digital Mentorship Program | NGO3002 | LearnOnline Initiative | 2024-03-25 | platform | 90 | 0.89 | 88.9 | Mentored students via platform tools. |
| VLT10007 | training | 5 | true | Germany | Anne Müller | anne.mueller@ | PRJ5007 | Remote Career Coaching | NGO3006 | Pathways Forward | 2024-02-13 | video_call | 75 | 0.95 | 78.1 | Training session for new coaches. |
| VLT10008 | project_work | 5 | true | Brazil | Gabriel Souza | gabriel.souza@ | PRJ5008 | Virtual Health Monitoring | NGO3003 | Wellness Reach | 2024-04-07 | chat | 105 | 0.91 | 96.2 | Helped monitor patient data remotely. |
| VLT10009 | project_work | 4 | true | Egypt | Sara Ahmed | sara.ahmed@ | PRJ5009 | Remote Translation Services | NGO3007 | Voices United | 2024-02-28 | 60 | 0.82 | 83.3 | Translated important documents for NGO. | |
| VLT10010 | check_in | 3 | true | Egypt | Omar El-Masry | omar.masry@ | PRJ5009 | Remote Translation Services | NGO3007 | Voices United | 2024-03-15 | chat | 10 | 0.7 | 81.7 | Quick chat about translation timelines. |
| VLT10011 | training | 4 | true | India | Priya Kumar | priya.kumar@ | PRJ5010 | Remote IT Support | NGO3008 | TechBridge Foundation | 2024-05-11 | platform | 35 | 0.86 | 64.1 | Trained on new IT support protocols. |
| VLT10012 | feedback | 2 | false | United Kingdom | Oliver Smith | oliver.smith@ | PRJ5011 | Digital Community Forums | NGO3009 | Community First | 2024-01-23 | platform | 22 | 0.61 | 49.4 | Feedback was critical, suggested improvements. |
| VLT10013 | project_work | 5 | true | Italy | Sofia Rossi | sofia.rossi@ | PRJ5012 | Online Art Therapy | NGO3010 | Creative Minds | 2024-03-28 | video_call | 80 | 0.97 | 92 | Led an online art session for children. |
| VLT10014 | onboarding | 4 | true | Canada | David Brown | david.brown@ | PRJ5002 | Virtual Tutoring | NGO3002 | LearnOnline Initiative | 2024-02-09 | platform | 30 | 0.79 | 60.7 | Completed onboarding, ready for tutoring. |
| VLT10015 | project_work | 5 | true | South Africa | Zanele Dlamini | zanele.dlamini@ | PRJ5013 | Remote Social Work | NGO3001 | GlobalEd Foundation | 2024-04-20 | phone | 55 | 0.93 | 76.4 | Consulted families remotely via phone. |
| VLT10016 | training | 5 | true | Japan | Yuki Tanaka | yuki.tanaka@ | PRJ5014 | Virtual STEM Workshops | NGO3011 | Science Forward | 2024-03-03 | video_call | 100 | 0.96 | 90.8 | Facilitated STEM workshop training. |
| VLT10017 | project_work | 5 | true | Argentina | Juan Carlos Perez | juan.perez@ | PRJ5015 | Remote Legal Aid | NGO3012 | Justice Now | 2024-05-22 | platform | 110 | 0.88 | 84.5 | Assisted with online legal consultations. |
| VLT10018 | check_in | 3 | true | Germany | Linda Schmidt | linda.schmidt@ | PRJ5007 | Remote Career Coaching | NGO3006 | Pathways Forward | 2024-04-18 | platform | 12 | 0.72 | 75.6 | Checked in on mentee progress. |
| VLT10019 | training | 4 | true | Kenya | Mohammed Abdi | mohammed.abdi@ | PRJ5016 | Remote Agriculture Support | NGO3013 | FarmLink Africa | 2024-02-17 | video_call | 50 | 0.85 | 69.1 | Trained farmers on digital tools. |
| VLT10020 | onboarding | 3 | true | Russia | Elena Petrova | elena.petrova@ | PRJ5004 | Remote Disaster Relief | NGO3004 | First Response | 2024-03-19 | 25 | 0.69 | 57.2 | Onboarded via email, new to online volunteering. |
What the 80 rows show
from the 80-row sampleFeedback (engagement type) stands out: mean volunteer_
- 90%volunteer_
retained = true - 4median volunteer_
feedback_ rating - 5engagement channels
- 21ngos
- 21ngo names
- 46median engagement_
duration_ minutes
Median 4, from 2 to 5.
- string 11
- integer 2
- float 2
- date 1
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
volunteer_id | string | Unique identifier for each volunteerunique | VLT10001 |
volunteer_name | string | Full name of the volunteer | Maria Sanchez |
volunteer_email | string | Email address of the volunteerunique | tara.oneill@ |
volunteer_country | string | Country of residence for the volunteer | Mexico |
project_id | string | Unique identifier for the remote nonprofit project | PRJ5001 |
project_name | string | Name of the remote nonprofit project | Rural Literacy Program |
ngo_id | string | Unique identifier for the NGO | NGO3001 |
ngo_name | string | Name of the NGO overseeing the project | GlobalEd Foundation |
engagement_type | string | Type of engagement (e.g., onboarding, training, project work, feedback)6 values | onboarding |
engagement_channel | string | Digital channel used for engagement (e.g., email, video call, chat, platform)6 values | video_call |
notes | string | Additional notes or comments about the engagementoptional | Coached three mentees. |
| Numbers 4 columns | |||
engagement_duration_minutes | integer | Duration of engagement in minutes0 or more · optional | 45 |
engagement_success_score | float | Quantitative score indicating engagement effectiveness (0-1 scale)0 to 1 · optional | 0.88 |
volunteer_feedback_rating | integer | Volunteer feedback rating for the engagement (1-5 scale)1 to 5 · optional | 5 |
project_impact_score | float | Score representing the impact of the project (0-100 scale)0 to 100 · optional | 80.5 |
| Dates and times 1 column | |||
engagement_date | date | Date of volunteer engagement activity | 2024-03-06 |
| True or false 1 column | |||
volunteer_retained | boolean | Indicates if the volunteer is still active after engagement | true |
Use it for
A human resources dashboard
The volunteer_
retained rate, volunteer_ feedback_ rating by engagement_ type and a breakdown of volunteer_ country. Excel, Power BI or Tableau. Why do the 12 feedback rows have a mean volunteer_
feedback_ rating of 2.4? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Volunteers80VLT100015onboardi…VLT100024trainingVLT100043feedback
A software demo
Believable volunteers with volunteer_
name, volunteer_ email and volunteer_ country to fill a screen in front of a buyer.
blueprint · volunteer-remote-engagement-metrics
Behind this dataset
Same schema. As many rows as you need.
These 80 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.
- Each row represents a unique volunteer's monthly engagement record
- Engagement score combines attendance, task completion, and digital interactions
- Project type must be categorized (e.g. disaster relief, education, advocacy)
- Retention flag calculated based on three-month continued participation
- Remote engagement tools used must be specified (e.g. video calls, messaging platforms)
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- volunteer-remote-engagement-metrics