This article will guide you on how to create a college graduate student survey about diversity and inclusion in just seconds. Specific makes it effortless to generate a strong, insightful survey for this topic.
Steps to create a survey for college graduate students about diversity and inclusion
If you want to save time, just click this link to generate a survey with Specific.
Tell what survey you want.
Done.
You don’t even need to read further. AI does the heavy lifting—it builds your survey with expert knowledge and even asks respondents smart follow-up questions to gather deeper insights automatically. If you want to explore or customize more, try the AI survey generator for any type of survey.
Why surveys on diversity and inclusion matter for college graduate students
Surveys about diversity and inclusion aren’t just “nice to have”—they’re essential for understanding the real campus experience. With approximately 41% of undergraduates in the U.S. being students of color as of fall 2024[1], campuses are more diverse than ever, yet real inclusion is an ongoing effort. Conducting these surveys provides:
Direct feedback on what helps or harms a student’s sense of belonging.
Early signals if discrimination or bias exists—don’t let issues fester unseen.
Insights to guide DEI programs, making them effective and data-driven.
If you’re not running these, you’re missing out on the true pulse of student life. For instance, only 43% of college students feel a sense of belonging on their campus[2]. That’s a huge missed opportunity if we ignore feedback. The importance of college graduate student recognition surveys can’t be underestimated—these responses highlight unmet needs and inspire real change.
Plus, college grad feedback is instrumental: 81% of Gen Z students say DEI efforts have a positive impact on campus[3]. Without actionable insights, institutions may overlook perspectives essential for growth and inclusion.
What makes a good survey on diversity and inclusion?
Quality surveys go beyond surface-level questions. To collect both high quantity and high quality responses, focus on these essentials:
Clear, unbiased questions—avoid leading language, don’t assume experiences.
Conversational tone—students respond more honestly when questions sound natural and non-judgmental.
Here’s a quick table to visualize the difference:
Bad practices | Good practices |
|---|---|
Loaded or leading questions | Open, neutral language |
A good survey is measured by response rate and answer depth, not just completion numbers. The best tools, like Specific, use conversational AI to boost both, making students comfortable enough to provide genuine insights.
What are the best question types for college graduate student survey about diversity and inclusion?
The most valuable college graduate student survey about diversity and inclusion combines a variety of question types. Here’s how they work—and examples:
Open-ended questions allow students to share experiences in their own words and surface unexpected nuances. Use these when looking for stories, context, or new issues emerging “between the lines.”
Can you share an experience at college where you felt truly included—or excluded? What happened?
In what ways could campus leadership better support diversity among graduate students?
Single-select multiple-choice questions help quantify perceptions and spot patterns. These are effective when you want to measure scale or frequencies by choice.
How inclusive do you feel your college’s environment is for graduate students?
Very inclusive
Somewhat inclusive
Neutral
Not very inclusive
NPS (Net Promoter Score) question helps you rapidly gauge advocacy or satisfaction, with simple 0-10 scoring—and allows for easy benchmarking across time or cohorts. For instant creation, check out this link to generate an NPS survey automatically.
On a scale from 0-10, how likely are you to recommend your graduate program to students from diverse backgrounds?
Followup questions to uncover "the why" make all the difference when you need richer context. These are essential for ambiguous or surprising answers—the AI will ask clarifying questions to dig deeper, just like an expert interviewer would.
What made you choose “somewhat inclusive” earlier?
Can you give an example of actions that impacted your sense of belonging?
If you want to explore or get inspired with more best questions for college graduate student surveys about diversity and inclusion, check out our curated guide for more ideas and tips: best questions for college graduate student surveys about diversity and inclusion.
What is a conversational survey?
A conversational survey is structured as a friendly back-and-forth dialogue—think chat, not a static form. This format increases comfort and authenticity, leading respondents to open up and give you better answers. It works especially well for sensitive topics, like diversity and inclusion, where tone and trust matter.
With AI survey generators like Specific, you can build these conversational surveys instantly from a simple prompt. Compare this to the time-consuming manual route:
Manual survey creation | AI-generated conversational surveys |
|---|---|
Hours spent designing | Ready in seconds |
Why use AI for college graduate student surveys? AI-powered survey builders save hours of tedious work, catch blind spots, adapt tone for your audience, and ensure high-quality data from day one. When you use an AI survey example or draft using Specific’s conversational builder, the process is streamlined for both creators and respondents.
Specific’s user experience stands out: every survey is truly conversational, gathering feedback that feels like a real conversation rather than yet another cold form. To learn how to create a survey with this approach step by step, check our guide: how to analyze responses from college graduate student surveys.
The power of follow-up questions
Follow-up questions are the secret weapon for transforming your college graduate student survey about diversity and inclusion from surface-level to profound. Specific’s AI handles these automatically: it “listens” to replies and dynamically asks deeper or clarifying questions—just like a skilled interviewer. You get richer, clearer data while saving the hassle of chasing respondents over email.
Student: “I sometimes feel left out during group projects.”
AI follow-up: “Can you share what made you feel excluded? Was it related to your background or something else?”
How many followups to ask? Usually, 2-3 followups hit the sweet spot for depth without overwhelming. Specific lets you set this limit—and even skip to the next question if you’ve collected enough info.
This makes it a conversational survey: natural, adaptive, and always respondent-centered, unlike rigid forms.
AI survey response analysis and AI-powered insights—Analyzing open-ended replies is simple with Specific’s tools. Even with lots of text, AI makes it a breeze; explore how in our guide: how to analyze responses from college graduate student surveys about diversity and inclusion.
Auto followups are a new concept—try generating a survey just to experience how much context you can uncover with a few prompts. Read how automatic AI follow-up questions work in depth.
See this diversity and inclusion survey example now
Create your own survey in seconds and unlock genuine, actionable feedback from graduate students. The AI-driven format, real-time probing, and rich analysis make it the most effective way to understand your audience’s true experiences and perceptions.