Here are some of the best questions for a Patient survey about Smoking Cessation Support, plus tips on how to build them so you get real, actionable feedback. You can generate a tailored survey with Specific in seconds.
Best open-ended questions for patient survey about smoking cessation support
Open-ended questions are powerful for uncovering honest, unexpected insights—the kind you won’t get from a tick-box form. They're ideal when you want patients to freely describe their motivations, experiences, or barriers. This depth is vital: research shows that highly engaged patients are far more likely to receive effective cessation advice and follow through with it than less-engaged ones, meaning richer answers drive better support outcomes [2].
Can you describe your experience with any previous attempts to quit smoking?
What motivates you most to try quitting smoking now?
What challenges or barriers have you faced when trying to stop smoking?
How do you think smoking cessation support could be improved for patients like you?
What kind of support or resources would make it easier for you to quit?
Can you share a time when you felt most successful in reducing or quitting smoking? What helped?
What concerns or worries do you have about available cessation programs?
How has smoking affected your daily life or health?
What’s one thing healthcare providers could do differently to better support your quit journey?
Is there a specific type of program or intervention you wish existed for quitting?
These open-ended options help reveal what actually moves the needle for patients, guiding programs that truly work.
Best single-select multiple-choice questions for patient survey about smoking cessation support
Single-select multiple-choice questions are perfect if you need quick, quantifiable data or want to make it easy for someone to reply. They’re also a great opener—once a patient picks an option, you can dig deeper with follow-ups for more detail.
Question: What type of smoking cessation support have you tried before?
Counseling with a healthcare provider
Nicotine replacement therapy (patches/gum, etc.)
Prescription medication
Quitline telephone support
Online or social media support groups
Other
Question: Which factor would most encourage you to try quitting smoking again?
Support from healthcare professionals
Financial incentives
Personal motivation
Family or social support
Other
Question: How satisfied are you with the smoking cessation support you have received so far?
Very satisfied
Somewhat satisfied
Neutral
Somewhat dissatisfied
Very dissatisfied
When to follow up with “why?” If you want to uncover root causes or motivations. For example, if a patient selects “Prescription medication” as the support tried, ask: “Why did you choose this method, and how effective was it for you?” This follow-up can clarify success rates or reveal pain points, crucial for designing effective programs.
When and why to add the “Other” choice? Use “Other” to make sure you’re not forcing respondents into your preset buckets. Follow-up questions after “Other” can reveal valuable new trends—for instance, a patient might mention an innovative peer-led method you hadn’t considered.
NPS question for patient survey about smoking cessation support
Net Promoter Score (NPS) is a simple but powerful way to gauge the overall effectiveness of your support programs. Asking “How likely are you to recommend our smoking cessation support to others?” on a 0-10 scale reveals your strongest advocates—and your biggest issues. For patient smoking cessation support, this one score offers a high-level view that’s easy to track over time. Pair it with smart follow-ups to understand the “why” behind the rating, and you turn a basic score into actionable insights. You can launch an NPS survey with this quick template.
The power of follow-up questions
If you’re not using follow-up questions, you risk missing the real story—surface answers just aren’t enough. With Specific, automated AI follow-up questions adapt in real time, based on each patient’s answer and your goals. This saves a ton of manual work (just imagine chasing patients via email for every clarification) and feels natural for both parties.
Patient: “I tried a support group but it didn’t help.”
AI follow-up: “What was missing in that support group experience?”
Without that follow-up, you'd get a vague data point. With it, you know exactly why a support group failed—and how to fix it.
How many follow-ups to ask? Usually, 2-3 are enough to get full context. But you can set logic in Specific so the AI stops once the key info is in, avoiding survey fatigue while still unlocking depth.
This makes it a conversational survey, not a cold Q&A—so patients open up more, yielding richer and more reliable feedback.
AI survey response analysis is simple, even with tons of open text. You can use AI to analyze patient survey responses—AI summarizes, identifies key themes, and makes sense of complex data in minutes.
Ready to see how powerful this is? Try building a survey and watch the automated follow-up process unfold for yourself.
How to compose a prompt for GPTs to generate great questions
Simple prompts work—but giving more context gives you way better, relevant questions. Start by telling ChatGPT what you want:
Suggest 10 open-ended questions for Patient survey about Smoking Cessation Support.
You get even better output if you add background (your goals, the audience, preferred tone). For example:
I’m designing a survey for patients who’ve tried quitting smoking in the last year. The goal is to uncover barriers, motivations, and suggestions for support programs. Suggest 10 open-ended survey questions that encourage honest, detailed feedback.
Then, organize and deepen the results:
Look at the questions and categorize them. Output categories with the questions under them.
Pick your favorite categories, and ask for more:
Generate 10 questions focused on “Barriers to Quitting” and “Desired Support Methods”.
This process zeroes in on exactly the questions you need for a high-impact survey.
What is a conversational survey?
A conversational survey feels like chatting—not form-filling. Instead of generic forms, you (or the patient) get personalized follow-up questions, momentum, and empathy. That’s why AI-powered creators like Specific are taking over—the difference versus manual survey editing is night and day.
Manual Survey Creation | AI-Generated Conversational Survey |
|---|---|
Scripting every question yourself | Instantly generate question flows from a prompt |
Responses are often surface-level | Dynamic follow-ups probe for depth |
Slow to set up and edit | Edit any survey by chatting, using AI-powered survey editor |
Manual analysis of written responses | Automated AI analysis and summaries |
Why use AI for patient surveys? AI survey builders help you launch high-quality, personalized interviews instantly—no scripting or technical knowledge needed. They dynamically adjust to each patient, collecting rich insights that generic forms simply miss. You get AI survey examples and AI survey templates that are tailored, robust, and easy to deploy. For detailed instructions, check our guide on how to create a patient survey about smoking cessation support.
With Specific, you’ll see best-in-class user experience for both patients and survey creators—our conversational surveys increase the engagement rate and deliver feedback that’s actually usable, quick, and clear.
See this smoking cessation support survey example now
Start your own interactive survey to uncover honest patient insights—conversational AI and real-time follow-ups make the process more personal, faster, and deeper than traditional surveys.