This article will guide you on how to create a patient survey about smoking cessation support. With Specific, you can build or generate such a survey in seconds—just click to create a survey in no time.
Steps to create a survey for patients about smoking cessation support
If you want to save time, just click this link to generate a survey with Specific. Setting up a conversational patient survey about smoking cessation support truly is that easy. Here’s what the process looks like:
Tell what survey you want.
Done.
Honestly, you don’t even need to read any further if your goal is just to quickly set up a patient survey. With Specific, the AI-powered survey generator uses expert knowledge to craft effective questions and, uniquely, follows up with respondents to gather deeper insights—going far beyond traditional survey forms. If you want to try a more customized approach, visit the AI survey builder to create any survey from scratch.
Why patient surveys on smoking cessation support truly matter
If you’re in healthcare and not regularly running patient recognition surveys or feedback surveys on smoking cessation support, you’re missing out on some of the most actionable data possible. Let’s break down the key reasons why these surveys are crucial:
Patient involvement boosts outcomes: Recent research indicates that patients who receive smoking cessation information during medical visits report higher satisfaction with their care. This type of survey participation directly supports better patient engagement and healthcare outcomes. [1]
Customized interventions: Surveys actively engage people in discussions about their smoking habits—meaning the likelihood of patients receiving counseling and support to quit increases. [2]
Identify missed support opportunities: Without regular feedback, you may overlook gaps or misunderstand what your patients truly need to quit smoking—or which types of support resonate most.
So, if you’re not collecting regular feedback using these methods, you’re missing out on discovering opportunities to boost quit rates and increase overall satisfaction.
What makes a good patient survey on smoking cessation support?
Creating a high-quality survey is as much about structure as substance. Here are the distinguishing features of a strong patient survey on smoking cessation support:
Clear, unbiased questions—Avoid leading language. Ask direct, simple questions about the patient’s experiences and needs.
Conversational tone—A friendly, approachable question style encourages honest participation and helps respondents relax—even when touching on personal topics.
The clearest indicator of a good survey? The number and quality of responses you collect. You want both: strong participation and valuable, honest insights.
Bad Practices | Good Practices |
Using jargon or complex language | Simple, accessible language |
Leading or biased questions | Neutral, open-ended prompts |
No follow-up on vague answers | Conversational AI probes for clarity |
If you’re looking for more tips, check our deep dive into best questions for patient surveys about smoking cessation support.
What are the best question types for a patient survey about smoking cessation support?
Your survey’s impact hinges not just on “what you ask,” but also “how you ask.” Mixing question types helps capture a full view of your patients’ needs, experiences, and motivations.
Open-ended questions get patients talking—these are ideal for discovering experiences or challenges you couldn’t anticipate in advance. Use them early to surface themes, or as follow-ups after multiple-choice questions for more depth.
What are the biggest challenges you’ve faced when trying to quit smoking?
Can you describe any support or advice from healthcare staff that helped you most?
Single-select multiple-choice questions are best for gathering quantifiable data, making it easy to spot patterns or quickly segment your patients.
Which type of support do you feel would be most helpful for quitting smoking?
Phone counseling
Online resources
In-person workshops
Printed materials
NPS (Net Promoter Score) question—This is perfect for quickly gauging how likely patients are to recommend your smoking cessation program to others. If you want to try it out or generate one instantly, check out our NPS survey generator for patients.
On a scale from 0-10, how likely are you to recommend this clinic’s smoking cessation support to someone trying to quit?
Followup questions to uncover "the why"—These are critical when you get a generic, unclear, or brief response. Follow-ups let you ask “why” or “can you elaborate?” in a conversational, low-pressure way, diving deeper into experience and motivations. For example:
Can you explain what made it difficult to quit during your last attempt?
Why did you choose phone counseling over other support types?
If you want more question ideas or expert tips on crafting the perfect survey, explore our full guide on best questions for patient surveys about smoking cessation support.
What is a conversational survey?
Conversational surveys feel and function more like a messaging chat than a static form. The core idea: instead of sending a list of impersonal questions, you engage your patient in a dynamic, two-way conversation powered by AI. Why is this better?
Traditional/manual surveys: Often rigid, miss context, and can feel tiring or impersonal. Respondents may skip over questions or provide incomplete answers.
AI-powered conversational surveys: Adapts in real time, asks clarifying questions, and feels engaging for both participant and researcher.
Manual Surveys | AI-Generated Surveys |
Static list of questions | Adaptive, conversational flow |
Limited to pre-set logic | Real-time follow-ups and probing |
Can feel cold or detached | Feels like a natural chat |
Why use AI for patient surveys? AI survey generators, like Specific, take all heavy lifting off your shoulders. With just a prompt, you get expert-quality surveys with dynamic followups—no more form builders or laborious editor screens. See our article on how to easily analyze responses from patient surveys to see just how seamless the full process is. If you want to try editing your survey by simply chatting with AI, the AI survey editor is perfect for fast, incremental changes without dealing with forms and lists.
Specific offers best-in-class user experience for conversational surveys—patients find the process smooth and natural, greatly increasing the likelihood of honest, high-quality feedback. If you’re hunting for the perfect AI survey example or looking to make your feedback collection feel personal, conversational AI delivers, hands-down.
The power of follow-up questions
What sets conversational surveys apart? The power to ask the right follow-up question, at the right moment. Specific uses AI to automatically generate smart follow-ups, building context in real time and digging deeper just like a seasoned researcher. For a full rundown on how it works under the hood, see our guide on automated follow-up questions in surveys.
Manual surveys often fall short. Without timely follow-ups, you risk cryptic responses that leave you guessing:
Patient: "I tried quitting once, but it didn’t work."
AI follow-up: "Can you tell me more about what made it difficult to quit last time?"
How many followups to ask? Usually, two to three targeted follow-ups are enough to uncover the “why” without making the survey feel repetitive. Specific even lets you set a limit and skip to the next question as soon as you have what you need.
This makes it a conversational survey—the back-and-forth exchange keeps the respondent engaged and encourages richer, more meaningful responses.
AI survey response analysis, analyze qualitative feedback from patients—the beauty of using AI is how it simplifies working through hundreds of open-ended replies. See our article on how to analyze responses from patient surveys about smoking cessation support.
This automated follow-up experience is something new that’s changing the game—give it a try and see how much richer your data becomes.
See this smoking cessation support survey example now
Create your own survey to capture real patient stories and actionable insights instantly, with AI-driven follow-ups and effortless analysis—making each response count.