Survey example: Clinical Trial Participants survey about communication with study team

This is an example of an AI survey for clinical trial participants focused on communication with the study team—see and try the example to experience effective feedback collection from the participant’s perspective.

Creating clinical trial participant surveys about communication with the study team is tough: low response rates, unclear answers, and time-consuming manual follow-ups slow down research and lead to unreliable insights.

We’ve made it our mission at Specific to reinvent survey building and analysis for clinical research teams. Every tool on this page is part of Specific’s AI-driven survey suite, built for deeper, more actionable feedback.

What is a conversational survey and why AI makes it better for clinical trial participants

Traditional surveys—especially for clinical trial feedback—often miss the mark. Forms can be long, confusing, and static, leading to response rates as low as 10-30%. As a result, researchers end up with partial feedback that doesn’t represent the real experience of participants. [1]

That’s where conversational surveys powered by AI make a real difference for clinical trial participants. Instead of presenting a long list of questions, an AI survey feels like a chat—adapting the language, question order, and follow-ups to keep the participant engaged.

This approach matters: AI-driven surveys can reach completion rates of 70-90%, a huge leap over traditional survey forms. By making the process personal and adaptive, drop-off rates shrink and responses become more thoughtful. [1]

Why use AI for clinical trial participants surveys?

• AI adapts questions to each participant, reducing confusion and improving completion rates.

• Real-time validation catches inconsistencies early, cutting feedback errors by 50% and saving researchers manual cleaning. [2]

• AI-generated follow-ups collect richer context, leading to deeper insights into the participant’s actual experience with the study team.

Specific leads the way in user experience for conversational surveys, making feedback smooth and friendly for both creators and clinical trial respondents. If you want to learn more about choosing the best questions for this kind of survey, check out our detailed guide: best questions for clinical trial participants surveys about communication with the study team.

You can generate your own AI survey example from scratch if you want to experiment with something outside the provided template.

Automatic follow-up questions based on previous reply

What sets a conversational survey apart—especially for complex topics like communication during clinical trials—is the way it reacts to each response in real time. Specific’s AI will ask smart, targeted follow-up questions, just like a human expert would, based on your answers and context. This dynamic probing uncovers the “why” and “how” behind every response, resulting in much more valuable data.

Imagine relying on static, form-based surveys: if a participant gives a vague or partial answer, you’re left with gaps, or you have to email them later for clarification. That means delays and sometimes missed opportunities for insight.

Here’s how it plays out in practice:

• Participant: “Sometimes I found it hard to get updates.”

• AI follow-up: “Could you share a specific example of when you struggled to get updates from the study team, and how that affected your experience?”

Without this follow-up, you’d have no idea if the problem was rare or critical, or how it might have affected their engagement. With Specific’s AI-based follow-ups, you capture all the relevant context instantly. Learn more about automatic AI follow-up questions in conversational surveys.

These automated, intelligent probes save you hours chasing answers and give every participant a chance to clarify their thoughts as they go. We encourage you to generate a survey and see this “in-conversation” experience firsthand—the difference is immediate and powerful.

With follow-ups, it’s not just a form—it becomes a true conversation, unlocking the full value of a conversational survey.

Easy editing, like magic

Editing a survey in Specific is effortless—you simply chat with the AI, explain the tweak or addition you want, and it updates the survey with expert-level quality in seconds. There’s no need to learn complex logic or rearrange long lists of questions. The AI survey editor takes care of the heavy lifting, letting you focus on the research, not on tech headaches. See how it works in our AI survey editor.

You can iterate—add, reword, or remove questions—just by describing what you want to change. It’s faster than any manual builder and always up-to-date with best practices for clinical trial participant research.

Flexible delivery: survey pages and in-product

You can share these surveys in two simple ways, tailored for clinical trial participants and the communication with study team survey topic:

• Sharable landing page surveys: Perfect for emailing a secure link to participants, sharing in study team portals, or including in newsletters. No login or tech setup needed—just send the link and collect responses instantly.

• In-product surveys: Best if your participants are using a web portal or study companion app. The survey pops up directly in their dashboard or workflow, ensuring feedback is collected at just the right moment—like after messaging the study team, or finishing a visit summary.

For most clinical trials, a sharable landing page is ideal for at-home or email-based outreach, while in-product surveys shine when you want contextual feedback during the participant’s digital journey.

Analyzing AI survey responses is instant and insight-rich

With Specific’s AI survey analysis tools, all responses are automatically summarized, key themes are detected, and actionable insights pop out without any manual exporting or spreadsheet wrangling. Features like topic clustering and the option to chat with AI about your survey responses unlock faster cycles from raw data to summary reports.

If you’d like a deeper dive into how to analyze clinical trial participants communication with study team survey responses with AI, check out our guide. You’ll see how automated survey insights transform participant feedback into clear, guiding conclusions for your study team.

See this communication with study team survey example now

Jump in and experience how a conversational AI survey elevates clinical trial participant feedback. See richer insights, higher completion rates, and a smoother experience for both your team and your study participants.