Survey example: Community College Student survey about tutoring and academic support

Create conversational survey example by chatting with AI.

This is an example of an AI survey for a community college student about tutoring and academic support—see and try the example now.

Many teams struggle to create effective surveys for community college students about tutoring and academic support because traditional forms either feel too impersonal or don’t dig deep enough to reveal barriers and motivators.

Specific is the leading platform for building, delivering, and analyzing conversational surveys that actually capture the full picture, using real AI to make it effortless.

What is a conversational survey and why AI makes it better for community college students

Gathering truly insightful feedback from community college students about tutoring and academic support is tough. Classic form-based surveys rarely go beyond surface-level answers, and few have the time or resources to conduct live interviews at scale. Even when you manage to send out a traditional survey, most students either skip it or respond briefly, adding noise instead of clarity.

That’s where an AI survey example—powered by a conversational survey builder—changes the game. Instead of sending static, one-size-fits-all forms, the Specific platform creates a chat-like experience driven by AI, so students engage as they would in a real conversation. They get smart follow-ups, more relevant questions, and a sense of being understood—leading to better data.

Manual survey forms

AI-generated conversational surveys

Static questions, no follow-ups

Dynamic, personalized prompts in real time

Low engagement

Feels natural & interactive for students

Limited context from responses

Rich, multi-layered insights thanks to probing

Why use AI for community college student surveys?

  • Deeper insights: The AI conversational format gets beyond yes/no or checkboxes, surfacing what students actually need from support services.

  • Higher completion rates: It’s simply more fun and personal, especially for Gen Z students used to texting and messaging apps.

  • Real-time adaptation: The AI picks up on nuances and topics students care about, maximizing relevance.

  • Time-saving: No more manually writing (and rewriting) question flows.

Research consistently shows why this matters: students who participate in tutoring and academic support services experience higher academic performance and retention rates[1], but they often face barriers to accessing help, from scheduling conflicts to simply not knowing what’s available[3]. By deploying an agile, conversational survey, you’re more likely to surface these obstacles organically—and actually do something about them.

Specific delivers a best-in-class conversational survey experience, making feedback collection painless both for survey creators and students. If you want more ideas on what to ask, check out our guide on the best questions for a community college student tutoring and academic support survey or see how to easily create your own survey with AI here.

Automatic follow-up questions based on previous reply

Static forms only scratch the surface—for richer insight, you need expert follow-up questions. With Specific’s AI survey example, the conversation adapts in real time. Smart follow-up prompts probe for clarification, detail, or motivation when a student’s initial reply is vague or open-ended, much as a seasoned researcher would do in a one-on-one interview. This isn’t just nice-to-have: it’s transformative. Here’s why.

  • Community college student: “I used tutoring last semester. It was fine.”

  • AI follow-up: “That’s helpful to know! Can you share what you found most helpful, or anything that could have improved the experience for you?”

Without follow-up, you’re left guessing what “fine” means—was it convenient, unclear, or just underwhelming? Automated, contextual follow-ups save everyone from clunky, manual email chases and rapidly build a fuller, more actionable dataset. See more about how our automatic follow-up feature works here.

Want to see this in practice? Try generating a survey with Specific and experience how real, contextual, and actionable the responses become.

Follow-up questions like these make your survey a true conversation—this is what we mean by a conversational survey.

Easy editing, like magic

Editing your AI survey is as simple as having a chat. Just tell Specific’s AI survey editor what you want to tweak—change a question, adjust tone, or add a new data point—and it handles the heavy lifting while bringing its expert knowledge to the process. No endless clicking or form-building: updates happen in seconds, so you can iterate on your conversational survey as you go. Dive deeper on how effortless it is to build or edit surveys with our AI survey editor.

Survey delivery: reach your community college students anywhere

Delivering your tutoring and academic support survey to community college students is seamless with Specific. You choose the best channel—landing page or in-product—based on your audience and goals:

  • Sharable landing page surveys are perfect for emailing, posting in learning management systems, or sharing on social media and class forums.

  • In-product surveys work inside your academic portal, student resources app, or campus website—great for reaching students right where they’re engaging with support tools.

For surveys about tutoring and academic support (where response rates are highest when you meet students where they’re active), both approaches are effective—use landing pages for broader outreach and in-product for timely, context-aware feedback.

AI-powered survey analysis: instant insights, no spreadsheets

Once you’ve collected responses, Specific automatically summarizes, detects key topics, and highlights actionable insights—no spreadsheet wrangling, no manual coding. With AI-powered survey analysis, you can even chat with AI about survey responses to dig deeper or test hypotheses on the fly. This enables you to quickly discover what’s working with your academic support programs, surface root causes, and report out in minutes. Want proof? See our guide to how to analyze community college student tutoring and academic support survey responses with AI for practical tips.

See this tutoring and academic support survey example now

See for yourself how dynamic questions, automatic follow-ups, and instant AI-powered analysis can reveal what your students need most—experience the survey and unlock better insights for your tutoring and academic support programs!

Try it out. It's fun!

Sources

  1. National Center for Education Statistics. Utilization of Tutoring Services and Student Outcomes

  2. Journal of College Student Retention. Academic Support Services and Student Retention

  3. Community College Research Center. Barriers to Accessing Academic Support Resources

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Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.