Best questions for high school freshman student survey about discipline policy fairness

Here are some of the best questions for a High School Freshman Student survey about discipline policy fairness, plus tips for crafting meaningful ones. You can quickly generate a complete, conversational survey with Specific in seconds.

Best open-ended questions for discipline policy fairness surveys

Open-ended questions let students explain their experiences in their own words, leading to honest insights and themes you might miss with multiple-choice. We use these when we want detail, examples, and emotional context—not just “yes” or “no.” A few well-placed open questions can shift your understanding of discipline fairness on campus.

1. Can you describe a time when you felt a school rule was applied fairly or unfairly?

2. What does “fair discipline” mean to you personally?

3. How do you feel when you see rules enforced at school?

4. In your view, what consequences should there be for breaking school rules?

5. What changes, if any, would you like to see in how discipline is handled at our school?

6. Have you ever seen someone treated differently because of who they are? How did this affect you?

7. If you could create one new rule to make school more fair, what would it be and why?

8. How comfortable do you feel speaking to teachers or staff about discipline concerns?

9. What advice would you give to new students about dealing with school rules?

10. Is there anything else you want to share about experiences with discipline at our school?

These types of questions uncover stories and perceptions. For example, a 2023 study found that 19.3% of students reported receiving unfair discipline at school, and those who did experienced much higher levels of persistent sadness and negative mental health outcomes. Open-ended questions help illuminate the “why,” surfacing needs schools may otherwise miss. [1]

Best single-select multiple-choice questions

Single-select multiple-choice questions are ideal when you want to quantify perceptions or get a fast snapshot. They work well at the start of a survey to break the ice, or when you want to spot patterns—then dig deeper with follow-ups.

Question: Do you think school discipline policies are fair?

• Yes, very fair

• Somewhat fair

• Not very fair

• Not fair at all

Question: Have you ever received discipline at school that you felt was unfair?

• Yes

• No

Question: When discipline is given, do you feel the same rules apply to everyone?

• Always

• Usually

• Rarely

• Never

• Other

When to follow up with “why?” You should follow up when an answer begs for a story or reason. For example, if a student answers “No” to “Do you think school discipline policies are fair?”, ask “Why do you feel that way?”—this gets to root causes and specific events.

When and why to add the “Other” choice? Use "Other" when none of your listed options might fit everyone. Following up on "Other" lets you uncover unexpected patterns or personal perspectives you hadn’t thought of.

Did you know that among students who reported receiving unfair discipline, over half reported persistent feelings of sadness or hopelessness, and in some cases, this escalated to considerations or attempts of self-harm? [1] These quick multiple-choice questions can help identify at-risk students while the follow-ups capture their stories.

NPS question: Gauging overall perceived fairness

Net Promoter Score (NPS) isn’t just for customer satisfaction. It’s a proven single-question metric for overall sentiment—and it fits perfectly for fairness topics. Try asking:

“On a scale from 0 to 10, how likely are you to recommend this school to a friend who cares about fair discipline policies?”

After the rating, use a follow-up: “What is the main reason for your score?” This reveals details behind the number. You can build an NPS survey for high school discipline policy fairness in one step.

The power of follow-up questions

Follow-up questions turn flat answers into rich stories by clarifying what respondents mean. We built automated follow-up questions into Specific’s AI survey engine for this reason: our AI listens for vague, incomplete, or unexpected replies and gently digs deeper to clarify. This is a massive time-saver compared to chasing people with emails or one-off interviews.

• Student: “The rules are unfair sometimes.”

• AI follow-up: “Can you share a specific example of when you felt the rules were unfair?”

How many followups to ask? We usually find 2–3 is enough. Go deeper if the response is important or unclear, but let students skip if they’ve made their main point—Specific lets you set these preferences when building a survey.

This makes it a conversational survey: every response can spark a natural exchange, not just a one-way form.

AI survey response analysis: It used to be hard to deal with pages of text answers. Now, with AI-powered tools like AI survey response analysis, all those open-ended replies are instantly summarized, categorized, and searchable—making your job dramatically easier.

Try generating a survey and watch how follow-ups shift the quality of the feedback you get—there’s no better way to discover why students see discipline as fair or unfair.

How to compose prompts for ChatGPT or other GPTs

If you want to draft your own survey in ChatGPT or GPT-powered tools, start simple, then add detail:

Start with:

Suggest 10 open-ended questions for High School Freshman Student survey about Discipline Policy Fairness.

You’ll get better results by adding context about your goals, who you are, and what you want to achieve. For example:

I’m a school counselor designing a survey to understand if our school’s discipline policies are fair from the perspective of high school freshmen. Our goal is to spot areas for improvement and ensure students feel heard. Suggest 10 open-ended questions that will help us understand real student experiences with discipline fairness.

Next, help AI organize results:

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

Now, choose which aspect matters most and dig deeper:

Generate 10 questions for categories “personal experience,” “suggested changes,” and “feelings about rules.”

This flow helps AI zero in on exactly what you care about most—making a better, more usable survey.

What is a conversational survey?

Conversational surveys mimic a natural back-and-forth: instead of static forms, students get questions one at a time, with the AI reacting to what they say—just like a person would. It feels friendlier and less intimidating, which means students are more likely to finish and say what they really think. Building these is effortless: instead of painstakingly scripting every step, you just describe your needs in plain language. The AI survey generator at Specific transforms your prompt into a ready-to-use, best-in-class survey.

Why use AI for high school freshman student surveys? With AI tools, you create richer, targeted surveys faster, collect higher-quality responses, and eliminate most of the analysis grunt work. This is particularly powerful when exploring topics like “AI survey examples” or customizing for niche audiences—every survey feels expertly tailored. Specific distinguishes itself by offering a conversational survey experience that’s smooth and enjoyable for creators and students alike. You can learn how to create a high school discipline policy survey step-by-step here.

See this discipline policy fairness survey example now

Want rich feedback from students and less manual work? See how effortless it is to get deeper, more honest answers—create your own conversational survey in seconds with automated AI follow-ups and easy response analysis.