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Best questions for student survey about peer collaboration

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Adam Sabla

·

Aug 19, 2025

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Here are some of the best questions for a student survey about peer collaboration, plus tips for crafting the ideal ones. You can build a survey like this in seconds with Specific—just set your topic, describe your goals, and our AI does the hard work.

Best open-ended questions for a student survey about peer collaboration

Open-ended questions dig deeper into student experiences, letting them share rich, honest feedback in their own words. They’re especially valuable when you want nuanced insights, context, and stories—perfect for understanding the dynamics of how students work together. With these questions, you’re more likely to uncover new ideas, spot challenges early, and make students feel truly heard, leading to better participation and engagement [1] [2].

Here are 10 great open-ended questions for your student survey about peer collaboration:

  1. Can you describe a recent group project and how you and your classmates worked together?

  2. What do you enjoy most when collaborating with peers at school?

  3. What’s the biggest challenge you’ve faced during peer collaboration?

  4. How do you handle disagreements or conflicts within your group?

  5. In what ways did working with others help you understand the material better?

  6. Is there anything you wish would change about the way collaborative projects are organized?

  7. How comfortable do you feel expressing your ideas when working in a group? Why?

  8. What support do you need from teachers to make group work more effective?

  9. Can you share an example where teamwork went especially well (or poorly)? What made the difference?

  10. Do you have suggestions to improve peer collaboration at your school?

It’s a good idea to combine open-ended questions with other types, since they deliver rich, qualitative data but sometimes see higher nonresponse rates in certain student groups (for instance, younger students or those less confident in writing) [3].

Best single-select multiple-choice questions for student survey about peer collaboration

Single-select multiple-choice questions help you quickly quantify trends and compare results across groups. These are perfect if you want to spot patterns, measure opinions at a glance, or gently warm up students before diving into more complex questions. Sometimes, offering concise options makes it easier for students to participate, especially where open-ended feedback might otherwise feel daunting.

Here are three effective multiple-choice questions for your survey:

Question: How often do you work with classmates on assignments or projects?

  • Every day

  • A few times a week

  • A few times a month

  • Rarely

Question: When working in a group, how often do you feel your voice is heard?

  • Always

  • Usually

  • Sometimes

  • Rarely

  • Never

Question: What is the biggest obstacle to effective peer collaboration for you?

  • Group members don’t participate equally

  • Difficulty communicating ideas

  • Lack of clear roles/responsibilities

  • I prefer to work alone

  • Other

When to followup with "why?" You’ll get the most insight when you add a “why?” after a student selects a choice—especially if you spot negative trends, unclear reasoning, or just want students to elaborate. For example, if a student selects “Rarely” for feeling heard in groups, follow up with: “Can you tell us more about why you feel this way? What could help improve it?” This lets students give context and solutions, rather than just a number or label.

When and why to add the "Other" choice? If your list might miss something unique to your students, include “Other.” This lets respondents share unlisted challenges, and your AI survey can instantly follow up: “What would you say is the main obstacle for you?” These unexpected insights are gold for improving collaboration and tweaking your approach.

NPS-style question for peer collaboration: does it make sense?

Net Promoter Score (NPS) isn’t just for customers—it’s a smart fit for student surveys about peer collaboration. NPS provides a straightforward, single-question measure for sentiment:

“On a scale from 0 to 10, how likely are you to recommend working with your classmates to a friend in another school?”

This gives you a fast, benchmarkable pulse on how students view peer collaboration schoolwide. It also opens the door to dynamic follow-ups—ask what would increase their score or why they chose it for deeper insights. To instantly generate an NPS survey for students about peer collaboration, see this survey builder.

The power of follow-up questions

Follow-up questions transform data quality—turning vague answers into actionable insights. A recent study compared static online surveys with interactive AI surveys where follow-ups were generated in real time. The AI-powered approach achieved significantly more informative, relevant, and specific responses, while helping clarify answers that might otherwise be unclear [4].

With Specific, our AI asks real-time, context-aware follow-up questions, creating a conversation that feels natural—and gathers the full story behind each answer. This approach saves time; educators don’t have to email back and forth for clarification and can let the survey flow like an interview. Read more about our automated follow-up question capabilities.

  • Student: “Sometimes I don’t participate in group work.”

  • AI follow-up: “Can you share what makes it difficult to participate? Is it the group dynamic, the assignment, or something else?”

How many followups to ask? In most cases, 2–3 targeted follow-up questions are enough to capture full context—without overwhelming students. With Specific, you can set a maximum depth for follow-ups or allow the AI to move on once the details have been gathered. It’s flexible to your needs.

This makes it a conversational survey: When surveys incorporate real-time follow-ups, they turn into true conversations, not just forms. The result? Students open up more, and you can address relevant issues as they arise.

AI-powered survey analysis: Even if you end up with tons of unstructured text, tools like Specific make it easy to analyze responses with AI—surfacing themes, sentiment, and supporting instant follow-up actions.

Automated follow-ups are a newer concept, so we always recommend trying to generate your own survey to see how natural the experience feels.

How to prompt ChatGPT (or other AI) to generate great questions

If you want to brainstorm custom questions for your student survey about peer collaboration, the right prompt matters. Try this basic prompt to get started:

Suggest 10 open-ended questions for student survey about peer collaboration.

If you provide more detail or context about your goals, role, or the student audience, the AI will generate even better, more relevant questions. For example:

Imagine I am a high school teacher creating a survey to understand how students feel about working together on projects. I want questions that explore comfort level, challenges, outcomes, and ways to improve. Suggest 10 in-depth questions.

To organize your questions, use:

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

Once you see the categories (like “group dynamics,” “communication,” “learning outcomes,” etc.), ask the AI to go deeper:

Generate 10 follow-up questions for the category “group dynamics.”

This way, your survey covers all the right areas and gets focused, actionable feedback from students.

What is a conversational survey?

A conversational survey is an interactive experience where the survey adapts to responses in real time—asking follow-ups, clarifying intent, and making the process feel more like a chat than a form. This can be a game changer for student feedback, since it mirrors how students communicate every day.

Manual Survey

AI-Generated Conversational Survey

Static set of questions

Dynamic questions and follow-ups based on responses

One-size-fits-all experience

Personalized flow, adapts to each student

Risk of unclear or incomplete answers

Clarifies, probes, and gathers full context

Slow, manual analysis

Instant AI-powered insights and summaries

You can kick off your own AI survey from scratch with the Specific AI survey generator, which allows instant customization for any topic or audience.

Why use AI for student surveys? AI survey generators like Specific make it possible to create, launch, and analyze thoughtful, conversational surveys with far less effort. Instead of building a form question-by-question, you describe what you need (“collaboration in student groups,” “problem areas,” “student suggestions for improvement”) and let AI build an effective, research-backed survey in seconds. This is especially useful for long, complex, or recurring surveys where time and engagement matter most.

If you’d like a step-by-step guide, check out this article on how to create a student survey about peer collaboration—it covers setup, launch, and tips for engaging questions.

AI survey examples and conversational survey experiences like those Specific provides not only improve response quality, but also make it easier on both survey creators and respondents. The feedback process becomes smoother, quicker, and more genuine.

See this peer collaboration survey example now

Try a conversational peer collaboration survey to unlock richer student feedback, actionable insights, and effortless survey creation—all in one seamless experience with Specific.

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Sources

  1. Jotform Blog. Advantage of open-ended questions in surveys.

  2. Codeit Software Blog. Benefits of open-ended questions.

  3. Pew Research Center. Nonresponse rates on open-ended survey questions vary by demographic group, other factors.

  4. arXiv.org. Evaluating and improving the quality of survey data with AI-powered conversational surveys.

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.