Best questions for student survey about parking

Here are some of the best questions for a student survey about parking, plus tips on how to easily build them. With Specific, you can generate great parking surveys for students in seconds.

The best open-ended questions for student survey about parking

Open-ended questions help us understand not just what students think about parking, but why. They're perfect for surfacing new issues or ideas we haven’t considered, especially if we want real, detailed feedback instead of just statistics. Here are the top questions we recommend for a student survey on parking:

1. What is your biggest frustration with current parking options on campus?

2. Can you describe a recent experience you had searching for a parking spot at school?

3. What improvements would you like to see in the campus parking system?

4. Are there specific times or days when parking is especially challenging for you?

5. How does the availability (or lack) of parking affect your day-to-day schedule?

6. What do you think about the cost of parking permits or fees at our school?

7. If you could change one thing about parking on campus, what would it be?

8. Do you feel safe parking your vehicle on campus? Why or why not?

9. Have you ever considered alternative transportation options because of parking difficulties? Tell us more.

10. Is there anything else you want to share about parking that hasn’t been covered?

Open-ended questions give you the “why,” and with tools like Specific, you can even have AI follow up in the moment—this really boosts the richness of your feedback. AI survey systems have dramatically improved data quality and analysis efficiency; for instance, AI-powered surveys have achieved completion rates of 70-90%, far higher than traditional forms. [1]

Best single-select multiple-choice questions for student survey about parking

Single-select multiple-choice questions are great when we need to quantify responses or make it easy for students to answer quickly. Sometimes, offering choices helps start the conversation—students can pick what fits, and we can always dig deeper with a follow-up “why.” Here are three strong examples for a campus parking survey:

Question: How would you rate your overall satisfaction with parking options on campus?

• Very satisfied

• Satisfied

• Neutral

• Dissatisfied

• Very dissatisfied

Question: What is your main method of transportation to campus?

• Car (I drive myself and park)

• Public transit

• Bicycle/Scooter

• Carpool

• Walking

• Other

Question: How often do you have trouble finding a parking spot when you arrive at school?

• Almost always

• Sometimes

• Rarely

• Never

When to follow up with "why?" If a student selects "Dissatisfied" (or any answer indicating a problem), it’s smart to ask a follow-up question: "Why do you feel dissatisfied with parking options?" This invites specifics, so we don’t just collect numbers without context. Doing this through conversational survey platforms like Specific makes it effortless—the survey flows naturally and the insight quality skyrockets.

When and why to add the "Other" choice? Always add an “Other” option if you suspect students might have answers beyond your listed choices. This helps uncover surprising or niche feedback that a rigid set of options would miss. Following up after “Other” can reveal unexpected trends or needs.

Should you include an NPS-style question?

The Net Promoter Score (NPS) question—“How likely are you to recommend our parking system to other students?”—is a staple in feedback surveys. It’s a quick pulse-check on student satisfaction and loyalty, and makes benchmarking easy over time. For issues like parking, the NPS approach helps institutions pinpoint how parking impacts overall campus experience. It's straightforward to set up an NPS survey for students about parking with Specific's builder, with smart follow-ups depending on the score students give.

The power of follow-up questions

Automated follow-up questions make all the difference. Traditional surveys stop at the surface, but with tools like Specific’s AI-powered follow-ups, you get deeper, richer insights right away. AI can ask smart, contextual follow-ups in real time, just like a human expert interviewer, closing gaps in the data. This saves tons of back-and-forth emails or clarifications, and actually boosts engagement—AI survey completion rates now reach 70-90%, compared to just 10-30% with legacy forms. [1]

• Student: "Parking is a hassle."

• AI follow-up: "Can you describe a recent situation when parking was especially challenging for you?"

How many follow-ups to ask? In most student surveys, 2-3 well-targeted follow-ups are perfect. You want enough detail to understand the real issue, but not so many that it feels repetitive. Specific lets you set this limit and even lets students skip if enough detail has been provided.

This makes it a conversational survey—you aren’t just collecting static responses, you’re engaging in a back-and-forth like a real conversation, which leads to much more actionable findings.

AI response analysis is easy. Even with lots of open text, tools like AI survey response analysis make interpretation fast and smart. AI can summarize, spot themes, and highlight sentiment with up to 95% accuracy, making massive qualitative data sets manageable. [3]

Automated follow-ups are a new best practice—try generating a survey and see how it transforms the feedback process instantly.

How to prompt ChatGPT (or other GPTs) for great survey questions

If you want to brainstorm with AI, here’s how I approach it. Start with a broad prompt to get ideas:

Suggest 10 open-ended questions for student survey about parking.

You’ll get better results by telling the AI more about your context—who you are, your goals, and what kind of data you need. Here’s an improved prompt:

I am organizing a survey to understand university students' experiences with parking on campus. We want to address frustration, accessibility, cost, and safety. Suggest 10 open-ended questions that will help us identify root challenges and make campus parking better.

Next, ask AI to group the questions by topic for clarity:

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

Once you see the categories, select the ones most relevant and refine further:

Generate 10 questions specifically about “Parking Safety” and “Accessibility.”

This iterative approach lets the AI dial in exactly what you need for your student parking survey.

What is a conversational survey?

Conversational surveys, like those built with Specific, use real-time back-and-forth—mimicking a live interview. Instead of a static list of questions, AI tailors follow-ups based on each student’s responses, making the survey adaptable, engaging, and contextually rich. This results in higher response rates, fewer misunderstandings, and deeper insights.

Compare this to manual survey creation:

Why use AI for student surveys? AI-driven survey generators like Specific let us quickly launch surveys, gather richer feedback, and analyze responses more efficiently than ever. For student parking topics (or any university issue), AI-generated surveys save time, increase engagement, and improve data quality.

For step-by-step instructions, check out this how-to article on creating a student survey about parking.

Specific delivers the best-in-class experience for conversational surveys—making it simple for students to share what’s really on their minds, and for teams to gain actionable insights from every response.

See this parking survey example now

Create your own conversational student parking survey with smart, AI-powered follow-ups—get deeper insights, save analyzing hours, and engage students like never before.