This article will guide you how to create a Clinical Trial Participants survey about Communication With Study Team. You can build this type of survey in seconds with Specific—just generate and launch.
Steps to create a survey for Clinical Trial Participants about Communication With Study Team
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Tell what survey you want.
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You don’t even need to read further. With AI survey generators like Specific, you get an expert-made survey configured instantly. The AI even asks smart follow-up questions to capture better insights from participants—effortless, accurate, and conversational.
Why Clinical Trial Participants feedback surveys matter
Not running feedback surveys for clinical trial participants means missing out on essential improvements. If we don’t give participants a voice, gaps in the communication process with the study team will persist—and so will participant frustrations, unnecessary dropouts, and missed opportunities to strengthen protocols.
Shorter, well-designed questionnaires lead to higher response rates and better data quality. Studies show that concise surveys not only reduce participant burden but also ensure more completions and usable feedback. [1]
Electronic surveys (ePROs) are now the standard. They're proven to improve engagement, streamline collection, and prevent manual errors. [2] If you’re not using the latest tools, you’re missing out on cleaner, faster, and more actionable responses.
Direct communication feedback exposes blind spots. Often, what researchers think is clear can feel confusing or overwhelming to participants. Without targeted feedback, these issues may never surface.
The bottom line: collecting, analyzing, and acting on this feedback is the key to improving trial outcomes, boosting participant retention, and enhancing overall study quality. If you’re not running these surveys, you’re missing half the picture.
What makes a great survey on communication with the study team
When we design a survey for Clinical Trial Participants about communication with the study team, our priority is to make every question:
Clear and unbiased. Confusing or leading questions skew results and frustrate respondents.
Conversational in tone. It builds trust, encourages openness, and increases the likelihood of honest responses about sensitive topics.
Here’s a quick comparison for visual guidance:
Bad practice | Good practice |
|---|---|
“Did the staff always explain everything perfectly?” | “How clear was the information you received about your care?” |
Long, jargon-heavy questions | Short, plain-language questions |
One-size-fits-all answers | Open response options + follow-ups |
Ultimately, a great survey yields both a high number and quality of responses. The right mix uncovers actionable insights without overwhelming participants. Remember, details matter—a well-tuned question pays off in better answers.
Question types and examples for a Clinical Trial Participants survey about communication with study team
Let’s think through the most effective question formats for Clinical Trial Participants when it comes to communication with their study team.
Open-ended questions are ideal for uncovering nuanced experiences—good when you want detailed stories or to understand the why behind issues. Use these when you want context, unexpected insights, or real feelings. For example:
What is one thing you'd change about how the study team communicates with you?
Can you describe a time when you felt especially supported—or let down—by the team’s communication?
Single-select multiple-choice questions are perfect when you need structured feedback or to compare participant experiences directly. They make response analysis easy and highlight trends quickly. For example:
How confident do you feel about reaching the study team with questions?
Very confident
Somewhat confident
Not confident
I’m not sure
NPS (Net Promoter Score) question measures overall satisfaction or likelihood to recommend, and is benchmarkable across studies. For an instant template, see our NPS survey generator. For example:
On a scale from 0-10, how likely are you to recommend participating in this study—based on your experience communicating with the study team?
Followup questions to uncover "the why" help you dig deeper when an answer is unclear or suggests a problem. This is critical for open-ended and even multiple-choice responses. Example follow-ups:
Can you share more details about what confused you?
What would have made communication clearer for you?
If you want a bigger library of ideas and expert tips, check out our guide on the best questions for Clinical Trial Participants surveys about communication.
What is a conversational survey?
Conversational surveys aren’t your typical forms—they feel like chatting with a person. The benefit: higher engagement, richer stories, and fewer abandoned surveys. Instead of scrolling through endless checkboxes, participants get personalized, real-time interactions that adapt based on their answers.
This is where AI-based survey builders shine. With AI, survey generation skips manual drag-and-drop: you simply describe your aims and the AI builds a survey, automatically adding context-aware follow-ups, translations, and smart logic. That’s worlds apart from the old way—no scripting, no survey fatigue, no wasted time.
Manual survey building | AI-generated conversational surveys |
|---|---|
Hours spent templating | Seconds to create |
Static forms and dull questions | Dynamic, personalized conversations |
Low engagement rates | High completion and rich insights |
Why use AI for Clinical Trial Participants surveys? AI enables us to adapt questions on the fly, probe for clarity, and summarize insights instantly. With an AI survey example, what used to require dedicated survey experts and days of editing now takes just minutes. Specific’s user experience is built for this—smooth on mobile, no app download, and engaging for both survey creators and participants.
Interested in a step-by-step guide? Here’s more on creating surveys that get results.
The power of follow-up questions
Automated follow-up questions are a game-changer. With Specific’s AI follow-up question feature, surveys act like a live interview—AI probes responses just like a skilled researcher would. The moment a Clinical Trial Participant shares feedback, AI follows up right away to clarify or dig deeper, saving teams hours of back-and-forth emails and rescuing unclear answers before they stall analysis.
Participant: “Sometimes I felt confused after appointments.”
AI follow-up: “Could you tell us what specific information or instructions were unclear for you?”
How many followups to ask? Usually, 2-3 targeted follow-ups per open-ended answer are enough. You want to give space for rich detail without causing fatigue. With Specific, you can adjust when to move to the next question as soon as you get the clarity you need.
This makes it a conversational survey: each participant feels heard and understood, which encourages honest sharing—and yields better data.
AI-powered analysis, text summaries, and instant insights: Don’t worry about analyzing long text answers. With tools like AI survey response analysis and response analysis for Clinical Trial Participants surveys, you can chat with GPT about your data and extract the “why” behind trends.
This approach—AI-automated, real-time, and contextual—is new and powerful. If you haven’t yet, try generating a survey and see how follow-ups transform participant feedback.
See this Communication With Study Team survey example now
Ready to boost Clinical Trial Participants’ feedback quality, get actionable insights, and experience the power of conversational AI surveys? See what a modern survey should look like and create your own survey—all in seconds.