Survey example: College Graduate Student survey about stipend and financial support

This is an example of an AI survey for college graduate students about stipend and financial support—see and try the example. If you want to learn how to gather truly meaningful feedback, this survey shows what’s possible using a conversational, AI-powered approach.

Building an effective stipend and financial support survey is notoriously tricky. Questions get skipped, details are missed, and responses end up feeling shallow or inconsistent.

At Specific, we’re obsessed with making research easier and smarter. All tools mentioned here—including this example—are powered by Specific’s conversational survey platform.

What is a conversational survey and why AI makes it better for college graduate students

Getting useful answers from college graduate student stipend and financial support surveys is hard. Traditional methods mean lots of forms, confusing logic, and a low response rate—especially on sensitive money topics. Even expert-designed surveys struggle to capture all the real-life nuance of financial support and stipends.

That’s where an AI survey generator comes in. Instead of filling out rigid, generic forms, college graduate students get a natural chat-like conversation. It’s more engaging for both you (the creator) and your students, and the survey can adapt in real time to what participants actually say. AI-generated surveys are different because the entire creation process feels like interacting with a knowledgeable research partner—no expert questionnaire skills needed. Just describe what you want to learn, and the AI survey builder handles the question wording, order, logic, and even empathy.

Why use AI for college graduate student surveys?

• Financial support is personal and varies widely—a conversational AI survey adapts to each student's lived experience.

• Respondents are more likely to be honest and thorough when it feels like they’re heard, not just ticking boxes.

• Automatic follow-up questions draw out richer detail about loans, assistantships, stipends, grants, and more, without the mental friction of a traditional survey.

In the 2019–20 academic year, roughly 74% of graduate students received some form of financial aid, but most surveys miss the context behind those numbers or variations between programs and institutions. [1] An AI survey example from Specific lets you get beyond surface-level stats to real stories.

Specific leads the way in best-in-class, mobile-friendly conversational surveys, making it easier for both you and your participants to collect and share feedback in a way that feels human, not like a bureaucratic form. If you’re curious about effective stipend survey design, check out our related guides on the best survey questions or how to create a college graduate student stipend survey.

Automatic follow-up questions based on previous reply

The magic of Specific’s approach is its smart AI follow-up questions. The survey dynamically asks personalized probes, just like a sharp interviewer who listens intently. If a student’s answer is unclear or incomplete, AI instantly prompts them to clarify—resulting in higher quality and more actionable insights. This is where a conversational survey truly shines.

• Graduate student: “I get financial help from my department.”

• AI follow-up: “Can you share whether that support is a stipend, assistantship, grant, or another form of aid? How well does it cover your living costs?”

• Graduate student: “I use loans to pay for most expenses.”

• AI follow-up: “Do your loan repayments feel manageable after graduation? How did you decide between different borrowing options?”

If follow-ups aren’t asked, you’re left wondering: What kind of support did they get? Is it typical for their field? Did it actually help? The result—lost insights, more confusion, and missed opportunities to understand college graduate student needs. Thanks to AI-driven, real-time followups, the conversation feels natural—students clarify, elaborate, and you collect richer stories, not just checkboxes.

Try generating a survey yourself and experience how every answer is handled with genuine curiosity. This is the essence of a conversational survey—it’s a dialogue, not just data collection.

Interested in the technical side of automated probing? Read our feature overview on automatic AI follow-up questions.

Easy editing, like magic

Survey revisions are where most tools fall short. With Specific’s AI survey editor, you simply chat: “Add a question about food insecurity, then clarify how the stipend compares to the cost of living.” The AI rewrites or expands your survey instantly, structuring follow-ups and clarifying logic—all with expert guidance under the hood. No fiddling with question trees or logic blocks. Edit and iterate in seconds to fit any stipend, loan, or grant scenario—and focus on what matters: asking the right questions.

Curious about how our AI builds surveys to match your exact needs? See the details on the AI survey generator page—or create any custom survey you want.

Flexible delivery: in-product widget or landing page link

With Specific, you can send your AI survey example to college graduate students the way that fits them best:

• Sharable landing page surveys: Great for sending out a link via email, posting to a student forum, or even sharing in group chats—ideal for stipend and financial support research where respondents are scattered across departments or campuses.

• In-product surveys: Perfect when you have a student portal or app—ask about support programs or stipend satisfaction at key moments, like when funding or grant results are published.

For stipend and support feedback, sharable links usually drive the highest reach, but embedded in-product surveys can gather authentic responses at just the right time without any friction.

AI-powered analysis in seconds

No more copy-pasting answers into spreadsheets or dread over dozens of open-ended responses. With Specific’s AI survey analysis features, all responses are automatically summarized, key topics are detected, and you can chat with AI about what you’re seeing. Instantly surface trends in stipend size, types of support, or barriers students face.

If you want to learn more about how to analyze college graduate student stipend and financial support survey responses with AI, our detailed walkthrough explains how to translate responses into real-world action. This is survey data analysis without the headaches—deep themes, automatic visualizations, powerful AI chat.

Our approach means richer automated survey insights and faster understanding for anyone looking to improve program equity or financial aid structures.

See this stipend and financial support survey example now

See firsthand how AI and conversational design unlock better insights from college graduate students—smarter follow-ups, fast analysis, and a more human touch to sensitive financial questions. Don’t just imagine the difference—try the example and see why this AI survey maker sets the new standard for financial support research.