All templates

Donor Feedback and Retention Insights Survey

Captures how donors feel about your communication, transparency, and impact reporting, plus what would make them give again — with an AI follow-up that digs into the real reasons behind their loyalty or hesitation instead of just a score. Built for development and fundraising teams running annual or post-campaign donor check-ins.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Thank you for supporting our mission! We'd love your honest feedback on your experience as a donor — it helps us serve our cause (and you) better. This should take about 4-5 minutes.

Q02
Multiple ChoiceRequired

In the past 12 months, how often have you donated to our organization?

  • This is my first gift
  • Once
  • 2-3 times
  • 4 or more times, or a recurring monthly gift
Q03
MatrixRequired

How much do you agree with each statement about your experience as a donor?

5 rows × 5 columns
  • It's easy to make a donation
  • I understand how my donations are being used
  • I receive timely updates on the impact of my gifts
  • I feel recognized and appreciated for my support
  • Communications from the organization feel relevant to me
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q04
Opinion ScaleRequired

How confident are you that your donations are creating the impact you intended?

Scale: 15
Min:Not confident at allMax:Extremely confident
Q05
Best–Worst Trade-off (MaxDiff)

Which of these would most and least influence whether you donate again?

  • More frequent updates on program impact
  • Faster or clearer tax receipts
  • Ability to designate my gift to a specific program
  • A simpler online donation process
  • Personal outreach or thank-you from staff
  • Recognition (donor wall, newsletter mention, etc.)
  • Matching gift opportunities
Pick best & worst per setBest:Most influentialWorst:Least influential
Q06
Opinion ScaleRequired

How likely are you to recommend supporting our organization to a friend or colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q07
AI Interview

Probe the reasoning behind the respondent's recommendation likelihood score and their confidence in impact. If the score is high, ask what specific moment or communication made them feel most connected to the cause. If the score is low or mid-range, find out what's causing hesitation — trust, communication gaps, or lack of visible impact — and ask what would need to change for them to feel differently. Anchor on concrete examples, not general sentiment.

Q08
Multiple Choice

How would you most prefer to hear updates from us about the impact of your giving?

  • Email newsletter
  • Text message updates
  • Social media
  • Phone call or personal note from staff
  • Annual printed report
Q09
Long Text

Is there anything else about your experience as a donor you'd like us to know?

Q10
Multiple Choice

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
Multiple Choice

Which range best reflects your total giving to us in the past 12 months?

  • Under $50
  • $50-$249
  • $250-$999
  • $1,000-$4,999
  • $5,000 or more
  • Prefer not to say
Q12
Message

Thank you for sharing your feedback! Your responses will be reviewed by our development team to shape how we communicate with and recognize donors like you going forward.

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 loyalty score with an AI follow-up interview that probes the actual reasoning behind a donor's likelihood-to-recommend rating, surfacing the 'why' behind hesitation or loyalty.
  • Combines structured measurement (matrix agreement statements, opinion scales, MaxDiff trade-off ranking) with open-ended and adaptive follow-up, giving both quantifiable trend data and qualitative depth in one flow.
  • Includes on-brand chat messages that frame the ask and close the loop by telling donors their feedback will be reviewed by the development team, reinforcing trust and transparency.
  • Captures practical segmentation data (donation frequency, giving range, age range, preferred communication channel) so fundraising teams can act on results by donor segment, not just aggregate scores.

Jotform

Donor Feedback Survey Form Template

A ready-to-use, static form template built on Jotform's general form-builder platform, easily customized with their drag-and-drop editor. It's a straightforward feedback form rather than a structured research instrument with built-in analysis logic. Good for quick deployment but leaves interpretation and follow-up entirely to the user.

What it does well

  • Fast to deploy and customize via Jotform's drag-and-drop builder
  • Familiar, widely-used form platform with broad integrations
  • Simple layout likely reduces respondent drop-off

Where it falls short

  • Static question set with no adaptive AI follow-up to probe donor reasoning
  • No automated per-response quality scoring or generated insights report
  • No documented methodology or transparent prompt logic behind question design

QuestionPro

Nonprofit Donor Feedback Survey Questions + Sample Survey Template

This is more of a sample-questions and guidance page than a single deployable template, aimed at helping nonprofits build their own donor survey. It offers useful question ideas for a nonprofit audience but requires assembly into a fielding-ready instrument on QuestionPro's platform. Depth of qualitative insight depends on how many open-ended items the user manually adds.

What it does well

  • Nonprofit-specific question examples tailored to donor context
  • Backed by an established enterprise survey platform with broad analytics tooling
  • Flexible for building a custom version rather than a rigid one-size-fits-all form

Where it falls short

  • No adaptive AI interview capability to dig into reasons behind scores
  • Page reads as a guide/question bank rather than a ready-to-field survey
  • No transparent prompt-level methodology or automated quality scoring per response

SurveyMonkey

Donor Feedback Survey Template: Ask Smart Questions to Improve Every Event

A pre-built, fielding-ready template on a well-known survey platform, framed partly around event-based donor feedback. It offers solid standard question types and reporting dashboards but is fundamentally a static questionnaire. Any follow-up on 'why' behind a rating would need to be manually scripted as additional fixed questions.

What it does well

  • Established platform with reliable distribution and reporting dashboards
  • Ready-to-use template reduces setup time
  • Wide familiarity among respondents and survey admins

Where it falls short

  • No adaptive AI follow-up questioning — all questions are fixed at design time
  • No automated quality scoring of individual responses
  • No published transparency into how questions or scoring logic were derived

SurveySparrow

Charity Donor Feedback Survey

A conversational-style, fielding-ready template designed for charities, likely leveraging SurveySparrow's chat-like UI for a friendlier feel. It's still a fixed question sequence rather than a genuinely adaptive interview that changes based on what a donor says. Useful for tone and engagement, less so for deep qualitative probing.

What it does well

  • Conversational UI likely improves completion rates versus traditional forms
  • Purpose-built for charity/nonprofit audiences
  • Mobile-friendly, chat-like presentation

Where it falls short

  • Conversational styling is not the same as true adaptive AI follow-up based on respondent answers
  • No automated per-response quality scoring
  • No voice AI interview option or transparent prompt documentation

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.