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Best questions for student survey about grievance processes

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Adam Sabla

·

Aug 18, 2025

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Here are some of the best questions for a student survey about grievance processes, plus practical tips for building them. You can generate a survey in seconds with Specific—it’s as simple as chatting with an expert.

Best open-ended questions for student survey about grievance processes

Open-ended questions let us go beyond checkboxes and really hear what students think. They help uncover nuanced stories, frustrations, and concrete suggestions. We reach far deeper insight than with rigid forms—especially when students have experiences that don’t fit neatly into standard options. In one large-scale hospital survey, 76% of respondents voluntarily left comments, leading to richer feedback and actionable improvement ideas. [1] But open-enders do take more effort from students, and response rates can be lower. That said, the insights are often worth it—especially when we’re trying to spot patterns or issues no one has considered. Here are our favorites:

  1. Can you describe a recent experience you had with the grievance process at our institution?

  2. What challenges, if any, did you face while trying to file a grievance?

  3. How did staff or administration handle your concern throughout the process?

  4. Were your expectations met by how your grievance was resolved? Why or why not?

  5. Is there anything about the grievance process that was confusing or unclear to you?

  6. How has your perception of the school changed after going through the grievance process?

  7. What would make the grievance process better for students like you?

  8. Did you feel your voice was heard during the grievance process? Please elaborate.

  9. Were there any resources or support you wish you had access to while submitting your grievance?

  10. If you could change one thing about the grievance process, what would it be?

These types of questions often surface issues that rating grids completely miss—one wide-ranging survey found 81% of participants revealed concerns not covered by the fixed options. [3] The key here is to listen for the unexpected. And with tools like Specific, analyzing all that qualitative feedback is much easier due to automated tagging and insights (for more, see our article on how to analyze responses with AI).

Best single-select multiple-choice questions for student survey about grievance processes

Single-select multiple-choice questions are perfect when we want to quantify opinions or get a conversation started fast. Sometimes students feel more comfortable quickly choosing an option rather than composing a long answer. Once we spot a trend, we can dig deeper with follow-ups, gaining both breadth and context.

Three useful example questions:

Question: How easy was it for you to find information about the grievance process?

  • Very easy

  • Somewhat easy

  • Somewhat difficult

  • Very difficult

  • I haven’t looked for this information

Question: Did you feel comfortable approaching staff about your grievance?

  • Yes, definitely

  • Somewhat

  • No, not at all

  • I didn’t approach staff

Question: What was the outcome of your grievance?

  • Resolved to my satisfaction

  • Partially resolved

  • Not resolved

  • Process still ongoing

  • Other

When to followup with "why?" It’s good practice to follow up a multiple-choice selection with “why?” or “can you tell us more?”—especially when the answer reveals dissatisfaction or confusion. For example, if a student selects “Not resolved,” ask: “Can you share more about why you feel this way?” This doubles the value of the original answer without increasing survey fatigue.

When and why to add the "Other" choice? Always include an “Other” option when you suspect you may not have every scenario covered. When students pick “Other,” follow up with an open-ended question like, “Can you describe what happened?” This approach uncovers insights you may never have thought to ask about directly.

Worth noting: closed-ended questions attract higher response rates (sometimes 98-99% completion), while open-enders can dip much lower. [2] So mix both types to get the best of both worlds—breadth and depth.

NPS-style question for student survey about grievance processes

The Net Promoter Score (NPS) question is a staple for student experience surveys, and it works surprisingly well in the context of grievance processes. Ask: “How likely are you to recommend our grievance process to a friend or fellow student if they had a concern?” on a 0–10 scale. It gives you a clear measure of overall satisfaction, and with AI-powered followups, you can immediately ask students to explain either high praise or concerns. This instantly segments promoters, passives, and detractors.

If you want to skip the setup, try generating a ready-to-use NPS survey designed specifically for student grievance processes using this preset survey tool.

The power of follow-up questions

Follow-up questions are where conversational surveys shine. By asking “why?” at the right moment—or clarifying a confusing answer in real time—you extract the context that transforms scattered feedback into actionable insight. Specific’s automated AI follow-ups read each answer and reply with probing questions, just like an expert researcher would. This conversational style feels natural and tends to build trust, so students open up and give detail that’s impossible in static forms.

  • Student: “The process was hard.”

  • AI follow-up: “What specifically made it hard for you to submit your grievance?”

Without followups, we’re left with vague responses that require time-consuming manual outreach. With automated AI follow-ups, clarity comes instantly—no emails, no back-and-forth, and no lost context.

How many followups to ask? Typically, 2–3 thoughtful follow-up questions suffice per topic, but Specific lets you control the depth and allows students to skip ahead if they’re finished. This flexibility ensures you strike the balance between richness and respect for their time.

This makes it a conversational survey: Every interaction feels less like “taking a survey” and more like having a meaningful, dynamic conversation that adapts to each response.

Easy AI-powered analysis: Even with dozens of open-ended responses, you can summarize and analyze feedback with AI—grouping themes, spotting trends, and answering custom followup questions instantly.

Curious what that feels like? Try generating your survey and watch how Specific’s AI crafts smart, real-time followups automatically.

Prompting ChatGPT to draft great student survey questions about grievance processes

Writing good survey questions takes time, but with modern AI, you can shortcut the brainstorm. For best results, start with a clear, direct prompt:

Suggest 10 open-ended questions for student survey about grievance processes.

But context supercharges results. Tell the AI who your students are, what you’re hoping to learn, or the unique features of your institution—for example:

Our college is updating its grievance process. Suggest 10 open-ended questions for a student survey about recent experiences, clarity of the process, and ideas for improvement. Please consider international students and undergraduates too.

Once you have some options, prompt again for categorization:

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

Finally, pick your key themes and go deeper:

Generate 10 questions for categories such as “Staff support” and “Clarity of steps.”

This stepwise prompting produces a focused, purposeful survey. Or jump ahead and use Specific’s generator—it’s built on similar principles, but faster and designed for actionable, conversational results.

What is a conversational survey?

Unlike traditional survey forms, a conversational survey feels like messaging with a thoughtful interviewer. The chat-style format guides students naturally, adapts to their answers, and responds in real time with clarifying or probing follow-ups. That means fewer skipped questions and much richer, more honest responses.

Manual surveys

AI-generated (conversational) surveys

Long, fixed forms

Feels like a chat

Generic, static questions

Adaptive, context-aware questions

Rare or delayed follow-up

Real-time clarifications and probing

Manual data analysis

Instant AI-powered analysis

This makes AI survey generation radically more engaging and actionable for both creators and respondents. You can learn more about how to create survey with AI here.

Why use AI for student surveys? With AI, you draft, adapt, and launch tailored surveys in minutes. You collect feedback in a format students relate to, and the platform does the heavy lifting—summarizing responses, surfacing key themes, and giving you a way to actually use the results. AI survey examples like those built with Specific have set a new standard for user-friendly, insight-rich research. And as a platform, Specific’s conversational surveys provide a smoother, more enjoyable experience than tedious legacy forms, both for teams and students.

See this grievance processes survey example now

Ready for actionable feedback? See how a conversational survey brings student voices to life, captures detail you can use, and adapts on the fly. Create your own and get meaningful answers quickly with Specific’s AI-powered approach.

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Sources

  1. PubMed. The value of patient comments in patient experience surveys: qualitative analysis.

  2. Pew Research Center. Why do some open-ended survey questions result in higher item nonresponse rates than others?

  3. Thematic. Why use open-ended questions in 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.