Volunteer Experience & Program Evaluation Survey
Assesses how volunteers experience training, communication, recognition, and support, and how likely they are to keep volunteering or recommend the program. An AI follow-up interview digs into the specific experience behind their satisfaction score so program staff know exactly what to fix or protect.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which program or role best describes most of your volunteer work with us?
- (Replace with Program A)
- (Replace with Program B)
- (Replace with Program C)
- Event-based / one-time volunteering
- Other
How long have you been volunteering with us?
- Less than 1 month
- 1-6 months
- 6-12 months
- 1-3 years
- More than 3 years
How much do you agree with each statement about your volunteer experience?
- I received adequate training for my role
- Staff communicate clearly about expectations and schedules
- My contributions are recognized appropriately
- I feel supported by staff or coordinators when I have questions or issues
- I understand the impact my volunteer work has on the mission
Overall, how satisfied are you with your experience volunteering here?
How likely are you to continue volunteering with us over the next 12 months?
How likely are you to recommend volunteering with us to a friend or colleague?
If we could only improve a few things about the volunteer experience, which would matter most to you — and which matter least?
- Better initial training
- More flexible scheduling
- Clearer role expectations
- More frequent communication from staff
- More recognition for contributions
- More opportunities to take on leadership
- More chances to connect with other volunteers
- More visibility into the impact of the work
Anchor on the respondent's most recent volunteering shift or task and reconstruct what actually happened: what they were asked to do, how prepared and supported they felt in the moment, and any friction with staff, scheduling, or unclear expectations. If their satisfaction or continuation likelihood was low, probe for the specific incident or pattern behind it and what would need to change for them to rate it higher; if it was high, probe what specifically made it feel worthwhile so it can be protected and replicated.
Is there anything else about your volunteer experience — good or bad — that we haven't asked about?
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Thank you for sharing your experience! Your answers go directly to our volunteer program team and will shape training, recognition, and support changes for everyone who gives their time here.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond a single satisfaction score with an AI follow-up interview that anchors on the respondent's most recent volunteering shift or task and reconstructs what actually happened, so program staff get concrete detail instead of guessing what a low or high rating means
- Combines structured measurement (matrix agreement statements, satisfaction, retention likelihood, and recommendation likelihood on opinion scales) with a max-diff trade-off question to prioritize which improvements matter most
- Includes an open-ended long-text catch-all plus demographic questions (tenure, role, age, gender) so results can be segmented by volunteer type without bloating the core survey
- Automated per-response quality scoring and auto-generated reports mean staff aren't manually reading every transcript to find what to fix or protect
Jotform
Volunteer Evaluation Form TemplateA ready-to-field form builder template for evaluating volunteers, with Jotform's usual drag-and-drop customization and integrations. It's built around structured questions rather than any conversational follow-up, so it's better suited to routine check-ins than deep diagnostic feedback.
What it does well
- Easy to customize and embed via Jotform's form builder
- Likely integrates with Jotform's broader workflow/automation and payment ecosystem
- Fielding-ready template, not just a guide
Where it falls short
- Static question set with no adaptive follow-up to probe why a volunteer rated something low or high
- No voice AI interview option or automated per-response quality scoring
- No published methodology on how questions were designed or scored
Typeform
Free Volunteer Evaluation Form TemplateTypeform's conversational one-question-at-a-time format is polished and pleasant to fill out, which can help completion rates. It's still a fixed script, though — every respondent sees the same questions in the same order regardless of their answers.
What it does well
- Clean, mobile-friendly conversational UI
- Free to use as a starting template
- Easy branching logic for basic skip patterns
Where it falls short
- No adaptive AI interviewing — logic jumps are pre-set, not generated from the respondent's actual answer
- No voice interview or guided screen-share task capability
- No automated quality scoring of open-ended responses
QuestionPro
Volunteer Experience Survey TemplateA conventional survey template covering the same core themes (training, communication, recognition) as QuestionPunk's, backed by QuestionPro's enterprise survey and analytics platform. It relies on standard question types and reporting dashboards rather than any AI-driven probing during the interview itself.
What it does well
- Broad survey-platform feature set (logic, dashboards, panel access)
- Template directly targets volunteer experience, so question themes overlap well
- Established analytics and cross-tabulation tools
Where it falls short
- No adaptive AI follow-up interview to reconstruct a specific recent volunteering experience
- No voice AI interview option
- No transparent per-question prompt methodology published for respondents or admins
SurveyMonkey
Volunteer Survey Questions And TemplateSurveyMonkey offers a straightforward volunteer feedback template plus supporting guidance on question wording, useful for teams building their own survey from scratch. It's a static questionnaire with SurveyMonkey's standard analytics, not an interview experience.
What it does well
- Well-known, easy-to-deploy survey builder
- Includes guidance/context around volunteer survey question design
- Solid baseline reporting and export options
Where it falls short
- No adaptive follow-up questioning based on individual responses
- No voice AI interview or guided task/screen-share functionality
- No automated response quality scoring
Frequently asked questions
What questions are in the “Volunteer Experience & Program Evaluation Survey” template?
The template includes 13 ready-to-use questions, starting with: “Thanks for giving your time as a volunteer — now we'd like a few minutes of it back to hear how the experience has been…” · “Which program or role best describes most of your volunteer work with us?” · “How long have you been volunteering with us?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 13 questions in about 7 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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