Survey example: Community College Student survey about diversity and inclusion
Create conversational survey example by chatting with AI.
This is an example of an AI survey for Community College Students about diversity and inclusion—see and try the example to experience the power of conversational surveys.
Most diversity and inclusion surveys for community colleges fall flat—they can be tedious, fail to capture nuance, and often aren’t built to encourage honest, open feedback.
At Specific, we specialize in AI-powered, conversational survey tools that make it effortless to understand the real experiences of students. All of the tools and examples on this page run on the Specific platform.
What is a conversational survey and why AI makes it better for community college students
Designing an effective diversity and inclusion survey for community college students is challenging. The student body is richly diverse—over 69% of California community college students come from diverse ethnic and racial backgrounds[4]—but traditional surveys often miss crucial context or disengage respondents. Even the most thoughtfully written paper or online forms can end up collecting vague, incomplete, or unhelpful responses.
Enter the AI survey generator—these tools transform data collection into a more engaging, two-way conversation. Instead of static questions, an AI survey example for diversity and inclusion dynamically adapts, asking smart follow-ups in a natural, chat-like experience. This not only encourages fuller, more honest sharing, but elicits richer insights into the experiences of every community college student.
Unlike legacy manual survey builders, where you’re left piecing together questions and flows, an AI survey builder like Specific uses best practices in real time. Here’s how it compares:
Manual Survey Creation | AI-Powered Conversational Survey |
---|---|
Rigid, pre-scripted questions | Dynamic follow-ups based on responses |
One-size-fits-all language | Adapts tone, clarifies, personalizes |
Time-consuming to create and update | Build or edit in a conversational chat, instantly |
Low engagement and superficial feedback | Feels like a real conversation—higher quality responses |
Why use AI for community college student surveys?
You get richer context from underrepresented students—to help close gaps in understanding and drive real change.
Technological tools like AI-powered survey platforms are now supporting DEI strategies and bridging insight gaps faster and with greater accuracy. [7]
You can design and iterate your survey in minutes, not days.
Specific is focused on delivering the absolute best experience for both survey creators and student respondents when it comes to conversational surveys. Want inspiration for effective questions?
Automatic follow-up questions based on previous reply
Specific’s AI doesn’t just ask static questions—it reads and understands each community college student’s reply, then jumps in with relevant, real-time follow-up questions, just like a thoughtful human interviewer. This is the beating heart of a conversational survey. It’s how you get past the “surface level” and unlock stories, challenges, and actionable insight—without ever needing to chase down respondents over email or schedule another meeting.
Here’s what happens without follow-ups:
Student: “I don’t always feel included in class.”
(No follow-up): That’s the end—you’re left guessing about the details and reasoning.
Now, here’s how it works with automatic AI follow-ups:
Student: “I don’t always feel included in class.”
AI follow-up: “Could you share a specific moment when you felt this way? Was there something your instructor or classmates did?”
Follow-ups like these create trust and drive clarity—while saving hours of manual follow-up by your team. Curious what that feels like live? Try generating a survey and see how the conversation unfolds for yourself. Learn more about automatic AI follow-up questions.
It’s these smart, contextual follow-ups that transform a plain survey into a true conversational survey—one where every unique experience gets the attention it deserves.
Easy editing, like magic
Editing your survey with Specific is a breeze. Instead of hunting through lists and menus, you just tell the AI—right in a chat—what you want to add, remove, or change. Want to tweak the tone? Add a new diversity-related question for first-year community college students? You describe the change, and the AI survey editor updates your survey instantly with expert-level precision. It’s the fastest way to level up your questions and refine your approach. Use it to update your survey in seconds, with all the heavy lifting done for you.
Delivering surveys: landing pages and in-product widgets
Specific gives you two powerful, flexible methods to reach community college students and gather diversity and inclusion feedback:
Sharable landing page surveys:
Great for emailing to the student body, posting in the student portal, sharing with DEI committees, or collecting anonymous feedback at scale.
No logins or accounts required for respondents—just a simple, accessible page with your conversational AI survey.
Perfect for colleges with student apps or learning portals. Trigger diversity and inclusion surveys after class registration, or embed them in the student help desk.
Target specific cohorts: e.g., first-generation students, STEM majors, or students from underrepresented backgrounds.
If your goal is to maximize accessibility and reach for all campus groups—landing page surveys are the top choice. For embedded, always-on feedback in digital spaces, in-product surveys shine.
Analyzing responses: AI makes it effortless
Once the responses start flowing in, Specific’s AI-powered survey analysis instantly distills feedback. Forget sifting through endless spreadsheets—AI summarizes every community college student’s comment, surfaces key DEI themes, and gives you crystal-clear, actionable insights. With automatic topic detection and the ability to chat directly with AI about your survey data, you’ll get to real answers much faster. Learn more about how to analyze Community College Student Diversity And Inclusion survey responses with AI.
See this diversity and inclusion survey example now
Try this conversational AI survey for community college students about diversity and inclusion—see firsthand how smart follow-ups, easy editing, and automated analysis deliver insights that traditional tools simply can’t.
Related resources
Sources
urban.org. In 2021, 40% of Black students, 51% of Latinx students, and 41% of American Indian and Alaska Native students enrolled in postsecondary programs attended community colleges.
OCCRL, University of Illinois. Faculty diversity lags; in 2016, approximately 75% of community college faculty were White, while more than half of the student body consisted of historically underrepresented groups.
calmatters.org. Minority students achieve better grades and pass rates when taught by faculty who share their racial or ethnic background.
asccc.org. 69% of California community college students come from diverse backgrounds, but 61% of tenured faculty are White.
bizjournals.com. Linn-Benton Community College’s hires from ethnically diverse groups rose from 8% in 2016 to 24% in 2018–2023 with new programs.
ccdaily.com. Community colleges use diversity dashboards to analyze data and enhance equity and student success.
cccco.edu. ACCJC adopted a 2021 social justice policy embedding equity-minded and anti-racist standards for 137 colleges.
ft.com. Technological tools, like AI-powered survey platforms, support DEI by identifying gaps and creating inclusive environments.