Survey example: Clinical Trial Participants survey about decentralized trial experience
Create conversational survey example by chatting with AI.
This is an example of an AI survey about decentralized trial experience for clinical trial participants—see and try the example instantly. It’s the fastest way to understand how real conversational surveys would feel in action.
If you’ve ever tried building a clinical trial participant decentralized trial experience survey, you know how tricky it is to get honest, detailed feedback—traditional forms rarely work well.
All tools here are from Specific, the authority on conversational AI surveys and effortless, in-depth feedback analysis.
What is a conversational survey and why AI makes it better for clinical trial participants
Let’s be honest—creating effective surveys for clinical trial participants can be a headache. Participants are busy, easily distracted, and often disengaged with standard forms. If you want to dig into their true experience with decentralized clinical trials, you need a fresh approach.
This is where AI surveys come into their own. Instead of dumping a static list of questions on someone, we use conversational surveys powered by AI. With this approach, the survey feels more like a friendly chat than a stagnant form. That’s a big deal, because clinical participants are far more likely to respond openly in a conversation—especially when the survey adapts to what they say in real time.
Traditional methods have limits. According to a study in Medical Care, even mail-based surveys targeting non-physicians managed only about a 68% response rate—and the quality of information was often spotty or incomplete. McKinsey found that 30% of survey data is either inaccurate or totally incomplete, risking the reliability of the final insights [1][2]. AI changes the game: recent data shows that AI-driven surveys achieve completion rates as high as 90%, compared to the usual 10–30% you see with legacy approaches [3].
Let’s look quickly at how a conversational AI survey example stacks up:
Feature | Traditional surveys | AI-generated surveys (Specific) |
---|---|---|
Format | Static forms, rigid questions | Chat-like, dynamic, adapts to answers |
Participant engagement | Low, easily dropped | High, feels like a conversation |
Follow-ups | Rare, manual | Automated, contextual, real-time |
Data quality | Often incomplete or unclear | Rich, clarified, more actionable |
Creation process | Painstaking, slow | Instant with AI, conversational |
Why use AI for clinical trial participants surveys?
Higher response rates—AI surveys see significantly increased completion rates for clinical audiences.
More accurate data—Participants clarify their true experience in context, giving you insights you can trust.
Effortless creation—You don’t have to be a survey pro; the AI does the heavy lifting with expert logic.
Better participant experience—Specific’s conversational AI surveys turn survey fatigue into thoughtful engagement, making it easy for participants to respond meaningfully.
You can dig deeper into how to easily create a clinical trial participant decentralized trial experience survey with Specific or use the AI survey generator for any purpose.
We’ve focused our product on delivering the best conversational survey experiences for clinical trial participants. When your feedback process feels like a natural chat, both you—and your respondents—win.
Automatic follow-up questions based on previous reply
One big reason our AI survey examples feel so different: Specific’s dynamic follow-up questions. The platform uses AI to read every answer and ask smart clarifications—just like an expert interviewer would. It’s not only rapid, it lets you dig down for full context without making participants feel interrogated.
Think about the difference. With forms, you often end up chasing down vague answers via email or, worse, just guessing what someone meant. With Specific’s automatic AI followup questions, you avoid all that:
Participant: “It was a bit confusing.”
AI follow-up: “Could you share more about what made it confusing? Was it the instructions or the technology itself?”
Without this context, your insight is incomplete. With it, you know exactly where to focus next.
Participant: “The app was slow sometimes.”
AI follow-up: “Did the slow performance affect your ability to complete certain tasks during the trial?”
When you don’t ask, you guess—or miss out. Try generating a survey yourself to see how these conversational follow-ups feel in action.
Follow-ups are what make a survey truly conversational: instead of a cold, form-based experience, every participant feels understood.
Easy editing, like magic
Editing your survey is as simple as sending a chat message. Just describe what you want—add, change, rephrase, or remove a question. The AI takes care of it instantly, bringing in expert logic so you don’t have to sweat the details. No jumping between complicated menus; you can perfect your survey in seconds with the AI survey editor.
Survey delivery: shareable pages or in-product survey widget
You can reach clinical trial participants anywhere they are, thanks to flexible delivery options:
Sharable landing page surveys—generate a quick shareable link for your decentralized trial experience survey. Great for emailing participants, posting in trial portals, or embedding in newsletters.
In-product surveys—built specifically for digital clinical trials and apps. Place the conversational survey directly inside your patient-facing software to reach participants in the moment, without extra effort.
For decentralized clinical trials, in-product delivery is especially valuable—collect feedback seamlessly as participants use your app, or target follow-up surveys after specific actions.
Analyze survey responses instantly with AI
Now comes the best part: all your survey responses are instantly summarized, key themes surfaced, and actionable insights delivered through AI analysis—no data wrangling or spreadsheets required. Features like automatic topic detection and chat-based exploration let you go from raw survey data to answers in seconds. If you want to learn more about how to analyze clinical trial participant decentralized trial experience survey responses with AI, we go deep on this in our resource hub. See how AI survey analysis lets you focus on what matters—interpreting trends and making decisions fast.
See this decentralized trial experience survey example now
Ready to see a real AI-powered clinical trial participant survey in action? Try the conversational survey example and experience how deeper insights, natural conversations, and automatic follow-ups can upgrade your decentralized trial feedback—fast.
Related resources
Sources
Medical Care. Postal and electronic survey response rates and quality in health research.
McKinsey via SuperAGI. Maximizing Survey Efficiency With AI: Case Studies and Success Stories.
SuperAGI. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement.