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Is a survey qualitative or quantitative? A guide for donor feedback in community programs and nonprofit impact surveys

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Adam Sabla

·

Aug 28, 2025

Create your survey

When designing donor surveys about nonprofit impact, you'll quickly face the question: is a survey qualitative or quantitative? For community programs, especially those seeking to show real change, the answer isn’t always either-or.

Donor surveys about nonprofit impact almost always need both: hard numbers and the nuanced feedback that only stories and details can provide. Community programs thrive on data that explains not just what happened, but why it mattered—something numbers alone rarely capture.

Understanding qualitative vs quantitative data in nonprofit impact measurement

Let’s break things down. Quantitative data is about numbers, ratings, and percentages—anything you can measure or chart. Think: “What percentage of donors increased their giving last year?”

Meanwhile, qualitative data digs into stories, motivations, and feedback. It’s the “why” behind the impact—what changed for families, how a program inspired someone, or which unmet needs still linger.

Quantitative surveys shine when you want to track clear metrics: donation amounts, participation rates, or satisfaction scores. They’re perfect for benchmarking and showing progress with numbers your board or funders will appreciate.

Qualitative surveys are better when you want to capture personal stories, dive into donor motivations, and uncover how your community programs are really making a difference. When you’re after suggestions for improvement—or you suspect there’s more going on beneath the surface—open-ended questions let people share what matters most.

Aspect

Quantitative

Qualitative

Type of question

How likely are you to donate again (0-10)?

What inspired your most recent donation?

Best for

Tracking giving trends, satisfaction scores

Understanding motivations, improvement ideas

Response example

“8 out of 10”

“I donated because I saw the impact stories from last year’s program.”

When to use qualitative surveys for donor and program feedback

In my experience, qualitative surveys are unbeatable when you need to understand donor engagement beyond the numbers. If you want to uncover the real reasons donors support your cause, see how your community program is affecting lives, or get honest suggestions on how to improve—you’ll need open-ended feedback.

  • Exploring why donors give—What motivates people beyond tax receipts or social proof?

  • Evaluating program effectiveness—What changes do participants feel on the ground?

  • Gathering actionable improvement suggestions—What hurdles or gaps do stakeholders see that numbers don’t show?

Early-stage program assessment is where qualitative surveys excel. When you don’t yet know what matters—maybe you’re launching a pilot or trying a new outreach method—it’s best to let respondents guide you with their own words.

Impact storytelling is another sweet spot. When you need captivating narratives for grant applications or donor updates, collecting stories lets you paint a vivid picture that numbers simply can’t match.

Thanks to conversational AI surveys, gathering this type of feedback is easier than ever. When AI asks smart, real-time follow-ups, the experience feels like a natural conversation—not an interrogation. These intelligent follow-up questions, which you can learn more about on our automatic AI follow-up questions guide, make sure nothing important gets left unsaid. Suddenly, surveys feel more like interviews, and respondents open up.

When quantitative surveys deliver better nonprofit insights

That said, quantitative surveys are essential for certain nonprofit measurement needs. If your board expects quarterly donation stats, or you need to compare program outcomes between two neighborhoods, structured questions make it easy to collect, analyze, and report on key metrics.

  • Measuring trends in donation volume and average gift size

  • Comparing program participation rates by location or demographic

  • Reporting overall satisfaction or impact scores for grant applications

Grant reporting is where numbers rule. Funders want to see percentages, year-over-year growth, and improvement in objective measures. With a carefully constructed quantitative survey, you can deliver exactly what they expect.

Resource allocation is another classic use case. If you’re trying to decide which community program to scale or sunset, statistical data tells you which initiatives deliver the most bang for each buck.

But here’s the trick: even quantitative surveys benefit from open-ended follow-up questions—short invites for context. A simple “Please explain” or “Tell us more” at the end of a critical rating question can surface why someone gave a low score.

AI survey builders now make it trivial to create mixed-method surveys that combine both types, so you get numbers and nuance in one seamless flow.

Making qualitative nonprofit data analysis simple with AI

I know firsthand how traditional qualitative analysis can eat up hours. Reading every comment, categorizing responses, and finding themes in hundreds of donor stories is daunting—even for seasoned teams. Good news: AI-powered qualitative data analysis tools can reduce data-cleanup time by up to 80%, letting you focus on insights, not busywork [1].

With AI analysis features, your old bottlenecks vanish. AI identifies key themes, pulls out popular phrases, and even clusters stories for you. So you’re not overwhelmed—you see immediately what matters to donors or program participants.

Even better, you aren’t stuck with static reports. You can actually chat with AI about your nonprofit survey data, asking questions like “What motivates our major donors?” or “Which community programs create the most meaningful change for youth participants?” It’s as simple as texting an expert researcher on demand.

Here are some example prompts I love using for nonprofit analysis:

“Summarize the top reasons our donors say they first decided to support our community program.”

Try:

“List the most common suggestions donors gave for improving the volunteer experience.”

Or dig into always-hot topics:

“Which program outcomes do families mention most often as evidence of real community impact?”

You can even spin up multiple analysis threads, each focused on a different challenge: one for donor retention insights, one for volunteer satisfaction, and another for program impact. Powerful and time-saving.

AI-driven analysis tools don’t just speed up review—they spot connections you might miss, making every response count. [2][3]

Building conversational surveys that capture both data types

The best nonprofit impact surveys rarely stick to one approach. Effective surveys blend quantitative structure with qualitative depth. I recommend starting with simple, structured questions—like ratings or frequency—and then letting conversational AI follow up for stories and specifics.

Smart survey flow makes this easy: kick things off with ratings (e.g., “How likely are you to donate again?”), then use real-time AI follow-ups to ask, “What motivated your score?” or “What would make you more likely to donate?”

Here’s how a well-blended section could look:

“On a scale of 0-10, how likely are you to recommend our community program to a friend?”
Follow-up: “What’s the biggest reason for your answer?”

With a conversational survey editor, you can adjust these questions just by describing what you want to change—the AI handles the details for you. Want to refine the tone or ask for more specific examples? Just say so. Multilingual support is also built-in, meaning you can reach more diverse donors across your community programs, no translation headaches required.

This mixed-method approach ensures your surveys feel natural, adaptive, and respectful of people’s time—while collecting everything you need to drive real nonprofit impact.

Transform your nonprofit feedback collection today

Understanding both the numbers and the stories behind donor feedback is how high-performing nonprofits create real, lasting impact. Whether you’re collecting qualitative insights into donor motivation or delivering hard quantitative metrics for grant reports, conversational AI surveys adapt to your needs and empower your team to act on both.

Specific delivers a best-in-class user experience for conversational surveys, making it seamless and engaging for everyone involved—creators and respondents alike.

If you’re not running these types of surveys, you’re missing out on deeper donor connections and clearer program impact stories. Start learning what matters most—create your own survey.

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Sources

  1. Sopact. AI-powered qualitative data analysis software accelerates and cleans up the feedback process for organizations by up to 80%.

  2. Looppanel. AI survey analysis tools make it straightforward to analyze both structured and unstructured feedback for deep insights.

  3. Thematic. Thematic's approach to AI-powered analysis combines automated theme detection with human oversight for accurate nonprofit survey results.

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.