Survey example: Clinical Trial Participants survey about visit burden
Create conversational survey example by chatting with AI.
This is an example of an AI survey for clinical trial participants about visit burden—see and try the example to experience how easy it is to collect deep, actionable feedback.
Clinical trial visit burden is tough to measure: so many surveys are overwhelming, tedious, or unclear, leading to poor data quality and higher dropout rates.
We’ve made it simple with Specific’s conversational survey tool—designed by experts and powered by AI. All the tools on this page are from Specific, helping you handle every step of clinical trial participant feedback with authority and ease.
What is a conversational survey and why AI makes it better for clinical trial participants
Getting honest, rich feedback from clinical trial participants is difficult—many surveys end up being burdensome, unclear, or just too long. Visit requirements in trials can be exhausting; 70% of participants live over two hours from a study site, and participant burden leads to higher dropout rates. Understanding this context is essential if you want accurate, actionable insights. [1]
This is where AI-powered conversational surveys change the game. Instead of dumping all questions in a rigid form, an AI survey example from Specific gently guides participants through the questions, mimicking a natural conversation. Participants feel heard, not interrogated, and you end up with much richer data.
Let’s run through a quick comparison:
Manual surveys | AI-generated surveys |
---|---|
Bland, generic questions | Personalized, context-aware questions |
Why use AI for clinical trial participants surveys?
You create a tailored, expert-level survey just by describing what you need—no survey jargon or laborious setup.
AI asks clarifying follow-ups in real time, uncovering hidden barriers like travel issues or scheduling constraints.
Your audience gets a smooth, chat-like experience that feels more like a check-in than a test, boosting both response rates and data quality.
Specific’s experience is best-in-class: participants move swiftly through the process, and you get the feedback you actually want—without the noise or confusion. This approach is why so many researchers trust Specific as their go-to AI survey maker for sensitive topics like visit burden. If you’re curious about what strong questions look like, dive into our guide to the best questions for clinical trial participant visit burden surveys.
Automatic follow-up questions based on previous reply
Let’s face it: open-ended survey questions often hit a dead end or yield vague replies. With Specific’s AI, every response from a clinical trial participant is met with an expert-level follow-up tailored to their answer, in real time. This turns your survey into a living interview, saving hours you’d otherwise spend chasing clarification over email or missing context entirely. For example:
Participant: “I couldn’t always make it to the weekly visits.”
AI follow-up: “Can you tell me more about what made some weekly visits difficult for you? Was it the distance, scheduling, or something else?”
Without automatic follow-ups, you’d end up guessing what "couldn’t always make it" actually means—and that ambiguity can kill your data quality or slow down your research. Instead, Specific’s AI follow-up questions probe for specifics, making ambiguity a thing of the past.
Ready to see how it works? Generate a survey and experience the interaction yourself—or if you want a completely custom survey for a different audience, start from scratch with our AI survey generator.
In essence, these follow-up questions make your survey truly conversational—every answer becomes a jumping-off point for a deeper, more meaningful dialogue.
Easy editing, like magic
Tweaking your survey is as effortless as chatting with a colleague. With Specific’s AI survey editor, you simply say what you want changed (“Add a question about travel costs”; “Make the tone more supportive”; “Ask if virtual check-ins would have helped”), and the AI instantly restructures your survey with expert precision. No more copy-pasting, rewording, or wrestling with confusing logic—you stay focused on your research, while AI handles the tedious stuff. Make real changes in seconds, not hours.
How to deliver the survey to clinical trial participants
Effective survey delivery is as important as smart question design. For clinical trial visit burden surveys, two methods excel:
Sharable landing page surveys: Perfect for emailing study participants, posting in a secure portal, or including in printed/distributed materials. Great for decentralized trials or when you need broad reach across geographies—especially relevant when 70% of participants live more than two hours from a trial site. [1]
In-product surveys: Best for ongoing clinical research platforms or mobile health apps. Instantly prompt feedback after a virtual check-in, record visit, or milestone—without disrupting the core participant experience. Use advanced targeting to ensure the right participants get the right questions at the right time.
Pick what fits your trial’s communication strategy. Participant-centric convenience means higher response rates and more reliable data—critical when 80% of trials face enrollment and retention problems. [1]
AI-powered analysis: make sense of responses instantly
Once you’ve collected responses, Specific’s AI survey analysis engine goes to work. No more manual coding, no more spreadsheet wrangling: the AI summarizes every answer, detects recurring themes, and offers automated, actionable insights. Even complex, qualitative feedback gets distilled into clear recommendations, so you can focus on making your trial less burdensome.
Features like automatic topic detection and chat-based analysis let you ask the AI about your data directly—curious how to analyze clinical trial participant visit burden survey responses with AI? Here’s a practical guide: how to analyze Clinical Trial Participants Visit Burden survey responses with AI.
This is next-level, automated survey insights—no data science degree required.
See this Visit Burden survey example now
Experience the difference—see how a smart, conversational AI survey helps you uncover real barriers and opportunities in clinical trials. Try it now to get better data and smarter insights—effortlessly.
Related resources
Sources
antidote.me. 5 ways to reduce the patient burden in clinical trials
pubmed.ncbi.nlm.nih.gov. Randomized trial on financial incentives and healthcare professional survey response rates
pubmed.ncbi.nlm.nih.gov. Complexity of trial protocols and participant burden