Here are some of the best questions for a Community College Student survey about career services and job placement, plus expert tips for making your survey. You can generate a survey like this in seconds with Specific.
10 best open-ended questions for community college student survey about career services and job placement
Open-ended questions let students express real opinions, unveil challenges, and share stories you might miss with checklists. When you want to go beyond yes/no and see the full context of their experience, these are your best option. They’re especially good at surfacing blind spots and actionable feedback you can’t anticipate in advance.
What types of career services have you used at our college, and how helpful were they for you?
Can you describe your ideal job after graduation?
What has been the biggest challenge or barrier you’ve faced when looking for a job or internship?
How could our career services better support your job search goals?
When thinking about in-demand local jobs, how confident do you feel about your preparation so far?
Share an experience (good or bad) you’ve had with our job placement or career counseling programs.
What kinds of employer connections or opportunities would you like to see more of on campus?
How do you typically search for jobs or internships while studying?
What role do you think technology (like AI tools or LinkedIn) should play in your job search support?
Are there any other ways we could help you feel more prepared for entering the workforce?
Open questions like these not only gather deeper insights, but they can also help address common gaps—like the low percentage of students who actually use job placement and career counseling services (under 40% according to the latest research [1]).
Best single-select multiple-choice questions for community college student survey about career services and job placement
Single-select multiple-choice questions work best when you want quick stats, easy comparisons, and to get students talking. If a topic is complex or sensitive, these questions can give students a springboard—and follow up with an open-ended “why” or a clarifying probe helps you get more detail.
Question: Have you used any of our campus career services in the past year?
Yes
No
Question: Which resource has been most helpful for your job search?
Job placement office
Career counseling
Faculty mentorship
Workshops/events
Other
Question: How prepared do you feel to secure a job after graduation?
Very prepared
Somewhat prepared
Not very prepared
Not at all prepared
When to follow up with "why?" If a student says they haven’t used career counseling, or feel unprepared, that’s your moment to ask, “Why?” or “Can you say more about what’s missing?” This digs into reasons and obstacles. For instance, if only 28% feel prepared for jobs post-graduation [2], followup probing is key to understanding the story behind that low number.
When and why to add the "Other" choice? Always give respondents a way out if your options miss something. With “Other,” students explain alternatives you never thought of—often leading to actionable ideas when followed up. Those open responses can uncover unexpected preferences or pain points.
NPS question for community college student survey about career services and job placement
NPS (Net Promoter Score) is a classic for measuring overall experience and loyalty—simply, “How likely are you to recommend our career services to a friend?” Using it in this context tells you if students would vouch for your programs, and helps benchmark over time. NPS lets you act fast: if your score is low, you know to dig deeper and focus efforts. You can instantly build an NPS survey for community college students in Specific’s AI survey builder.
The power of follow-up questions
Follow-up questions are where conversational surveys like those built with Specific shine. Instead of a flat response, the AI can instantly probe, clarify, or go deeper. Learn more about this in our automated follow-up questions feature deep-dive.
Smart followups mean you won’t miss a respondent’s real reasons. And you won’t have to circle back with endless emails—the system does the digging for you, saving hours and getting richer, more honest data.
Community college student: “I went to one workshop but didn’t find it helpful.”
AI follow-up: “What specifically didn’t meet your expectations in that workshop? How could it be improved?”
How many followups to ask? Usually, 2–3 followups are the sweet spot—enough to dig out real context but not overwhelm. And sometimes, you only need one if the answer is crystal clear. Specific lets you set this up: tell the AI when to keep probing, or when to skip to the next question once you’ve got what you need.
This makes it a conversational survey: Instead of a form, you get a chat. Students feel like they’re being listened to and understood—not just checked off on a list.
AI survey analysis: Don’t worry about wading through tons of open text responses—our AI can help you analyze survey results and group themes in seconds, making it easy to spot key patterns.
Once you see how conversational followups boost response quality, you’ll never want to go back. Try generating a survey to see it in action.
Prompt tips for AI survey question generation
If you’re using ChatGPT or Specific’s AI survey maker, prompts make all the difference. Start simple, then add detail. For example:
To get started, use:
Suggest 10 open-ended questions for Community College Student survey about Career Services And Job Placement.
But, for even better results, give context. For example, “We want to understand why students underuse services, which tech/tools they use for job search, and what support gaps exist.”
We want to design a survey to help our community college uncover why students don’t use career services, what support they want, and how technology (like AI or LinkedIn) could help. Suggest 10 open-ended questions, focusing on actionable feedback.
Next step: organize. Prompt the AI to group the above questions by topic:
Look at the questions and categorize them. Output categories with the questions under them.
Finally, for a deeper dive, ask for more questions in specific categories:
Generate 10 questions for categories like ‘Barriers to Service Use’ and ‘Desired Job Placement Support’.
What is a conversational survey?
Conversational surveys turn static forms into dynamic chats. With AI, you start with a few core questions, and let the survey adapt in real time—probing, prompting, and engaging like a real interviewer. Students don’t feel like they’re filling a form; it’s a dialogue that shows you’re genuinely interested in their answers.
Manual Survey Creation | AI-Generated Conversational Survey |
---|---|
Manual question writing, time-consuming edits | Quickly build full surveys by chatting or prompting |
Static, scripted, impersonal questions | Dynamic, context-aware followups and clarification |
Responses often incomplete or lacking depth | AI probes until you get actionable, nuanced insights |
Manual analysis; hard to summarize | Automated AI-powered theme discovery and summaries |
Why use AI for community college student surveys? With online job search evolving fast (77% of job seekers use AI tools, and 63% rely on LinkedIn recommendations [3]), you need survey tools that keep up. AI survey examples—especially the kind powered by Specific—make collecting and understanding these insights both effortless and future-proof.
Get more out of every survey. Specific’s conversational surveys use best-in-class chat UX that keeps students engaged, makes followups natural, and gives you results worth acting on. Read our how-to guide for building a community college student survey if you want to dig deeper.
See this career services and job placement survey example now
See how easy it is to build a survey that truly listens. Launch yours today and uncover hidden insights with AI-driven followups and analysis—no manual busywork, just actionable feedback that helps you improve student outcomes.