Here are some of the best questions for a teacher survey about inclusive teaching, as well as tips on designing them for insightful results. You can build your own survey in seconds with Specific, making thoughtful feedback easy to collect.
Best open-ended questions for teacher survey about inclusive teaching
Open-ended questions are excellent for capturing richer, more nuanced responses—giving teachers space to express real experiences and ideas. We use these when we want depth and context, but we’re mindful that too many can lower completion rates; on average, surveys with 10 open-ended questions have a 78% completion rate, which is 10 percentage points lower than those with just one open-ended question [3]. Still, research shows 80.7% of leadership teams find open-text answers 'very useful' or 'useful' for improvement [2].
How do you define inclusive teaching in your own classroom?
Can you share an example where you successfully made your teaching more inclusive?
What challenges do you face when trying to make your lessons inclusive for all students?
How do you adapt materials or activities for students with diverse learning needs?
In what ways do you collaborate with colleagues to improve inclusivity?
What types of support or resources would help you teach more inclusively?
Describe a time you noticed a student benefiting from an inclusive strategy. What was different?
How do you ensure students from all backgrounds feel represented in your lessons?
What are the most pressing barriers to creating an inclusive classroom environment?
Is there a professional development topic on inclusive teaching you wish was offered?
Best single-select multiple-choice questions for teacher survey about inclusive teaching
Single-select multiple-choice questions work best when we want to quantify trends and find patterns fast. They’re great icebreakers—respondents can just pick an option quickly instead of composing text. They also set the stage for deeper conversation through smart follow-ups, making it easier for even time-pressed teachers to participate.
Examples:
Question: Which of the following do you consider the biggest barrier to inclusive teaching in your classroom?
Limited resources or materials
Lack of training or support
Time constraints
Student attitudes or behaviors
Other
Question: How confident do you feel in implementing inclusive teaching strategies?
Very confident
Somewhat confident
Not very confident
Not confident at all
Question: How often do you adapt your lesson plans for students with additional needs?
Very often
Sometimes
Rarely
Never
When to follow up with "why?" After a teacher selects a choice, asking “why?” can unearth rich insights. For example, if a teacher selects "Limited resources," you might follow up with, “Why do you feel resources are limited for inclusive teaching?” This context helps uncover the real story behind a choice, making the feedback actionable. Research shows follow-up designs lead to longer, more thematic responses than static designs [4].
When and why to add the "Other" choice? The "Other" choice is essential when you want to surface unexpected barriers or ideas. Sometimes teachers face challenges not listed, so by including "Other"—and following up with an open-ended prompt—you encourage candid, original feedback that can shape future improvements.
NPS question for measuring inclusive teaching perceptions
Net Promoter Score (NPS) is a simple, research-backed way to gauge overall sentiment. For a teacher survey on inclusive teaching, NPS asks how likely a teacher is to recommend current school practices or resources related to inclusivity. This helps school leaders monitor engagement and surface loyalty, while tailored follow-ups gather “why” behind the score. It’s quick, familiar, and actionable for benchmarking shift over time. You can see an example or generate your own NPS survey here.
The power of follow-up questions
Adding follow-up questions is where surveys get their edge. As we highlighted on our automatic AI followup questions feature page, when you prompt teachers with smart, contextual follow-ups, you nudge them to clarify, expand, and supply the depth that’s often missing in forms. Specific’s AI generates these in real time—like an attentive interviewer—saving hours compared to manual follow-ups over email.
Teacher: “I find it hard to use inclusive materials.”
AI follow-up: “Can you tell me more about what makes finding or using these materials difficult?”
This way, ambiguous or brief responses become actionable data that you can trust and use.
How many followups to ask? Generally, two to three follow-up questions help capture the full context—without exhausting your respondent. With Specific, you can control this automatically, skipping to the next question when you have what you need.
This makes it a conversational survey—not just a form, but an AI-led chat that feels like a natural exchange. Teachers respond more thoughtfully when it feels like a genuine conversation, boosting both clarity and completion rates [5].
AI survey response analysis: Even if you have lots of long, open-ended responses, it’s easy to analyze trends with Specific’s AI. See our guide on how to analyze responses using AI. It saves you hours that would otherwise be spent reading and tagging responses by hand.
This approach is new—try generating a survey and see how automated follow-ups transform your feedback quality.
How to compose a prompt for AI to generate great teacher survey questions
If you’re using ChatGPT or other GPT-based tools to brainstorm teacher survey questions for inclusive teaching, get straight to it with:
Suggest 10 open-ended questions for teacher survey about inclusive teaching.
But you’ll get better results when you add more context about your goal or who you are. For example:
I’m collecting feedback from primary and secondary teachers to understand challenges and best practices for inclusive teaching in a diverse classroom. Please suggest 10 open-ended questions focused on real situations and actionable insights.
Then, to organize the output, try:
Look at the questions and categorize them. Output categories with the questions under them.
Once you see the categories, identify where you want to dig deeper. For instance, if “Barriers to inclusion” or “Resource needs” stand out, try:
Generate 10 questions for categories "Barriers to inclusion" and "Resource needs".
What is a conversational survey?
Conversational surveys transform traditional question lists into interactive chat-like dialogues powered by AI, like those created with Specific. Unlike static forms, these surveys feel like an expert is guiding you through questions—adapting and probing based on your responses.
Here’s a quick comparison:
Manual Survey Creation | AI-Generated Conversational Survey |
|---|---|
Slow; lots of manual editing | Instant survey creation from simple prompts |
Generic questions; hard to personalize | Questions adapt to respondent’s context |
No follow-ups unless you ask later by email | Smart, in-conversation follow-ups for clarity |
Tricky to analyze long-text answers | AI summarizes and finds key insights automatically |
Why use AI for teacher surveys? With AI-driven conversational surveys, you create better-quality feedback by gently probing for stories and details educators may not think to include on their own. You’ll also see higher engagement compared to traditional forms, thanks to the conversational design that mirrors natural communication [5]. Try an AI survey example and see the difference in your data.
Specific delivers one of the best user experiences for conversational surveys—efficient for creators, enjoyable for respondents. Explore our guide to building a teacher survey about inclusive teaching or start one in minutes.
See this inclusive teaching survey example now
Ready to get powerful feedback? See a real inclusive teaching survey example and experience firsthand how a conversational approach drives deeper, more meaningful insights—no manual effort required.