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Best questions for college graduate student survey about program satisfaction

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Adam Sabla

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Aug 29, 2025

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Here are some of the best questions for a college graduate student survey about program satisfaction, along with tips on how to create them. With Specific, you can build a tailored survey in seconds—no hassle, just deep insights.

Best open-ended questions to ask college graduate students about program satisfaction

Open-ended questions are fantastic when you want detailed, honest feedback that goes beyond numbers. They help you understand the real reasons behind satisfaction levels, surface overlooked issues, and capture personal stories you’d never expect. Here are the top 10 open-ended questions for a college graduate student survey about program satisfaction—these unlock both big-picture trends and granular details:

  1. What aspects of your program have contributed most to your satisfaction as a graduate student?

  2. Can you describe any challenges or frustrations you encountered during your graduate studies?

  3. How well did the program prepare you for your current or future career goals?

  4. What support services (academic, administrative, or personal) have made the biggest difference for you?

  5. Were there experiences or opportunities in your program you feel are missing or could be improved?

  6. Can you share a moment when you felt especially engaged or inspired during your graduate program?

  7. If you could change one thing about your graduate experience, what would it be, and why?

  8. How inclusive and supportive did you find the program environment for students of diverse backgrounds?

  9. Which courses, professors, or learning experiences stand out as most valuable to you?

  10. What would you advise prospective students considering this graduate program?

Quantitative data is helpful, but these questions capture the unique perspectives and experiences that numbers alone can’t express. In fact, recent data show that more than 80% of third-year Ph.D. students at Vanderbilt expressed overall satisfaction with their program experience—open-ended responses reveal why they feel that way and what could make it even better. [1]

Best single-select multiple-choice questions for measuring program satisfaction

Single-select multiple-choice questions are perfect when you need to quickly quantify satisfaction, compare across groups, or get the conversation started. Structured choices let students respond easily—great for busy respondents or when you’re scanning for overall trends before digging deeper with follow-ups.

Question: Overall, how satisfied are you with your graduate program?

  • Very satisfied

  • Satisfied

  • Neutral

  • Dissatisfied

  • Very dissatisfied

Question: How well did the program meet your expectations for academic quality?

  • Far exceeded expectations

  • Exceeded expectations

  • Met expectations

  • Fell short of expectations

  • Not sure

Question: What was your primary reason for choosing this graduate program?

  • Reputation of the institution

  • Specific faculty or research area

  • Career advancement prospects

  • Location or convenience

  • Other

When to follow up with "why?" Use a follow-up when a response opens the door for richer feedback. For example, if a graduate student selects “Dissatisfied,” ask: “Why did you feel dissatisfied?” This approach transforms quick selects into detailed insights.

When and why to add the "Other" choice? Use the “Other” option when you can’t predict all possible responses. If a student chooses “Other,” ask a follow-up: “Please explain your reason.” This often uncovers unexpected insights you wouldn’t catch otherwise.

NPS: Is it useful for program satisfaction?

NPS (Net Promoter Score) gauges how likely a student is to recommend the program to others, revealing both overall satisfaction and word-of-mouth potential. For graduate programs, it’s a leading indicator of both experience quality and future reputation. We’ve seen that institutions with a high NPS tend to see greater student loyalty and more positive program recommendations. To create an NPS survey designed for graduate students, you can auto-generate it in a few clicks.

Incorporating NPS is especially valuable when combined with targeted open-ended follow-ups to understand what drives both promoters and detractors, ensuring program improvements are strategic and student-centered.

The power of follow-up questions

Follow-up questions are where conversational surveys truly shine—they clarify answers, dig deeper, and surface stories or pain points that first responses may leave out. With Specific, automated AI follow-up questions are generated dynamically, just like a skilled interviewer would. This saves tons of time compared to chasing responses by email and keeps the feedback conversation both natural and focused. If you want to know more, check out our guide on automatic AI follow-up questions.

  • Graduate student: “The support services were okay.”

  • AI follow-up: “Can you tell me more about which support services were just okay, and what improvements would have been helpful?”

How many followups to ask? Generally, 2–3 follow-ups give you both depth and clarity without overwhelming the respondent. And if you’re using a smart conversational survey tool like Specific, you can set the number of follow-ups and allow skipping once you have the context you need.

This makes it a conversational survey. With follow-ups happening in real time, participants engage in an interactive feedback chat, not just a static form—resulting in higher response quality and completion rates.

AI survey analysis is simple and powerful. Even with lots of qualitative detail, AI-powered tools like Specific let you analyze every response easily, surface themes, and quantify trends—even in messy data.

Conversational, AI-powered follow-ups are a step-change in feedback collection. Try generating a survey to see this in action—the experience is eye-opening and genuinely informative.

How to prompt ChatGPT to generate effective program satisfaction questions

When using AI language models to create questions for a graduate student survey, the prompt you provide is crucial. Start simple, then add context to make the AI perform its best. For example, you might begin with:

Suggest 10 open-ended questions for College Graduate Student survey about Program Satisfaction.

But for even better, more tailored results, give additional context about goals, background, and what you want to learn. For instance:

We are preparing a survey for recent college graduate students to understand their satisfaction with our program, focusing on career readiness, diversity and inclusion, and support services. Please suggest 10 open-ended questions that will help identify both strengths and areas for improvement.

After the AI has generated questions, you can further refine with:

Look at the questions and categorize them. Output categories with the questions under them.

Review the categories and drill deeper. For instance:

Generate 10 questions for the "career readiness" and "support services" categories.

What is a conversational survey?

A conversational survey is an interactive, AI-driven feedback exchange, not a static form. Each question is delivered in a chat-like format, and real-time follow-ups probe for details, clarification, and stories. This makes the survey feel like a real conversation—keeping graduate students engaged and turning quick replies into rich insights.

Traditional manual survey creation takes hours, requires expertise, and usually results in a generic form. With an AI survey generator like Specific’s, you simply describe the goal, and the system creates effective, nuanced questions (and follow-ups) in seconds. Here’s a quick comparison:

Manual Survey Creation

With AI Survey Generator

Time-consuming, requires survey expertise

Fast—generate high-quality questions instantly

Static: no follow-up unless hard-coded

Dynamic: real-time follow-ups for full context

Easily misses nuances in feedback

AI probes to clarify, ensuring actionable insight

Difficult to analyze unstructured responses

Built-in AI analysis for both quantitative and qualitative data

Why use AI for college graduate student surveys? AI surveys boost response rates, reduce bias, and deliver richer, more actionable data. Intelligent automation has already been shown to increase survey response rates by up to 50% and reduce survey bias by 30%. [4][5] When you’re collecting nuanced feedback like program satisfaction, these gains are game-changing.

Try a full walkthrough on how to create a survey about graduate program satisfaction and explore the best-in-class experience Specific brings—smart, friendly, and designed to make giving and analyzing feedback smooth for everyone involved.

See this program satisfaction survey example now

You can experience the impact of a conversational survey yourself—see a real-world program satisfaction survey example and discover how Specific’s AI turns one-size-fits-all surveys into deep-dive conversations. Get richer insights and engage your respondents like never before—start now!

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Sources

  1. Vanderbilt University News. Graduate Student Survey Indicates Satisfaction with Graduate Experience (2024)

  2. South Dakota State University. Graduate Student Survey Results (2021–2022)

  3. Reuters. Law Student Satisfaction Rates Remain High, but Lower for Students of Color (2024)

  4. Psico-Smart. Integrating AI and Machine Learning in Employee Satisfaction Survey Management Software (2023)

  5. Sobot.io. Best Automated Customer Satisfaction Surveys Tools (2025)

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.