Clinical Trial Participants survey about communication with study team

Create expert-level survey by chatting with AI.

Need to improve how Clinical Trial Participants communicate with the study team? You can generate a high-quality AI-powered survey in seconds—just click to start, right here on Specific, and it’s free.

Why Clinical Trial Participant feedback on communication matters

If you’re not actively asking Clinical Trial Participants about their communication with the study team, you’re almost certainly missing out on critical feedback and opportunities to improve retention and trust. Strong, transparent communication is directly tied to participant satisfaction and willingness to stay engaged in clinical trials. For example, one study found that participants who considered dropping out of a trial rated their communication with research doctors significantly lower (4.14 vs 4.46) than those who weren’t considering leaving [1]. That’s a gap with major consequences—better communication literally keeps people involved.

Clear, proactive feedback helps you:

  • Spot issues early, before they grow into bigger problems or dropouts

  • Build trust: 85% of participants reported feeling more trusting when researchers were transparent about trial processes [4]

  • Uncover what works: Feedback reveals which outreach or touchpoints (phone, email, teleconferences) make participants more engaged and more likely to continue [3]

  • Meet regulatory and ethical obligations for participant care and satisfaction

Yet, it’s easy to overlook these touchpoints or ask only surface-level questions. If you don't ask—and don’t ask the right way—you risk losing valuable insights and even participants. For actionable tips on designing your questions, check out our guide on best questions for a Clinical Trial Participants survey about communication with your study team.

Why use an AI survey generator for Clinical Trial communication surveys?

Traditional survey creation is manual, slow, and can put barriers in the way of getting the feedback you need. An AI survey generator does the heavy lifting: you simply describe what you want to know—such as “I need to understand how well our study team communicates with Clinical Trial Participants”—and get a well-structured, effective survey in seconds.

Here’s a quick comparison:

Manual Survey Creation

AI-Generated (with Specific)

Brainstorm and research every question from scratch

Instant AI suggestions tailored to Clinical Trial Participants

Prone to bias or vague wording

Expert-calibrated questions, reduce bias automatically

Time-consuming editing and review process

Edit and iterate instantly—just chat with the AI survey editor

Difficult to add conversational logic or follow-ups

Built-in smart follow-up questions for richer feedback

With Specific’s AI survey generator, we’ve made it possible to create and launch a professional conversational survey in less than a minute—so you can focus on acting on insights, not tinkering with forms. Our user experience stands out: both survey creators and respondents enjoy a frictionless, chat-like process that keeps people engaged, digging deeper with natural prompts.

Want to build your own? See how to create a Clinical Trial Participants survey with Specific for detailed steps or just try it right here.

Designing survey questions that drive real insights

Writing survey questions for Clinical Trial Participants is trickier than it looks. Poorly phrased questions get vague or misleading responses; great questions get powerful insight. Here’s what that looks like:

  • Bad question: “How was your experience with the study team?” (Too broad and subject to bias)

  • Good question: “Can you describe a specific instance when you found information from the study team unclear, and what would have helped?” (Actionable and invites stories)

Specific’s AI survey generator helps you avoid common mistakes, suggesting wording that’s precise, neutral, and easy to understand—not just for the research team, but for the participant, too. Because our system actively prevents leading or ambiguous questions, you get far more actionable feedback. If you want to write better questions yourself, follow these guiding tips:

  • Be specific: Focus each question on one idea at a time

  • Stick to plain language: Avoid jargon and qualifiers

  • Invite examples or stories: Ask for “a time when…” or “can you recall…”

For more practical advice and ready-to-use question examples, check our best question guide for Clinical Trial Participant communication surveys.

Automatic follow-up questions based on previous reply

What sets a conversational AI survey apart is its ability to ask smart, real-time follow-up questions based on what the respondent actually says. With Specific, our AI acts like a sharp interviewer—probing for detail, clarifying any ambiguity, and making every conversation richer. Instead of static forms, your Clinical Trial Participants get a natural, responsive experience, vastly improving the depth and quality of your insights.

This matters because open responses can be unclear or incomplete without context. For example:

  • Clinical Trial Participant: “Sometimes the information wasn’t clear.”

  • AI follow-up: “Can you tell me about a specific situation when information from the study team felt unclear, and what would have made it better?”

If you skip these follow-ups, you’re left guessing—losing the nuance behind each answer and missing what really needs improving.

Followups make the survey a conversation. This means every feedback exchange feels like a real chat, not just a cold form—which is especially important for topics as sensitive and personal as clinical research participation. See this in action with our automatic AI follow-up questions feature. Generate a survey right here and see the difference for yourself.

How to deliver your survey to Clinical Trial Participants

Getting the survey in front of your participants is easy with Specific, whether you want to reach them outside the product environment or engage them directly during their online interactions with your platform. Here are two flexible options:

  • Sharable landing page surveys: Perfect for emailing survey links to participants, sharing in a patient portal, or sending automatically after a study visit. Most Clinical Trial Participants communicate with the study team through channels like email or portal links, so this option offers speed and broad reach.

  • In-product surveys: If you have a digital health platform or online interface for participants, in-product surveys can pop up as chat widgets during a session. This is great for capturing feedback immediately after important study milestones or communication moments.

Not sure which to use? For most Clinical Trial communication feedback, landing page surveys are the most direct and accessible, but in-product can deliver great results for digital-first trials. Decide based on your workflow and where participants will be most comfortable engaging. For more, see our guide to in-product conversational surveys.

AI survey analysis: Get instant insights from responses

Once responses are in, you don’t have to wade through spreadsheets or spend hours coding qualitative data. Specific’s AI survey analysis instantly highlights key themes, summarizes open-text responses, and even lets you ask the AI questions about your data in plain language. Features like topic detection mean you’ll spot major concerns or successes right away. To learn more about how to analyze Clinical Trial Participants Communication With Study Team survey responses with AI, see our in-depth how-to.

Create your Communication With Study Team survey now

Generate a high-quality, conversational Clinical Trial Participants communication survey in seconds—click to start and see powerful results today.

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Sources

  1. PubMed. Lower communication quality scores among participants considering dropping out of clinical trials

  2. PubMed. Survey: How clinical trial participants first learn results and satisfaction with communication methods

  3. PubMed. Usefulness of teleconference communication and participant retention in multi-center clinical trials

  4. H3D Centre. Strategies for effective communication between researchers and participants in clinical trials

  5. PubMed. Participant satisfaction with receiving trial results by telephone

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.