Survey example: Clinical Trial Participants survey about informed consent understanding
Create conversational survey example by chatting with AI.
This is an example of an AI survey for Clinical Trial Participants about Informed Consent Understanding—see and try the example now.
Creating surveys that truly measure whether clinical trial participants understand informed consent is tough; unclear forms and non-engaging formats often yield unreliable answers and poor completion rates.
At Specific, we build all the tools showcased here so you can launch better surveys and get richer, more actionable feedback with minimal effort.
What is a conversational survey and why AI makes it better for Clinical Trial Participants
Getting accurate feedback from clinical trial participants often fails due to low engagement and high drop-off rates, especially with traditional surveys. The problem? Most forms are too long or hard to understand, leading to confusion and incomplete data.
Conversational surveys, created with AI, solve this by making the experience feel like a natural, intelligent chat rather than a rigid form. Instead of clicking through static questions, participants get personalized follow-ups that adjust based on what they say, making the process smoother and more engaging. Specific's platform is designed from the ground up for these AI-powered, mobile-friendly interviews, so every participant feels heard and every answer is contextualized.
Manual vs. AI-generated surveys:
Aspect | Manual Survey | AI-generated Conversational Survey |
---|---|---|
Creation speed | Slow, needs manual scripting | Instant via conversational prompt |
Participant engagement | Low, often boring forms | High, chat-like and dynamic |
Follow-up questions | Static, rarely adapted | Adaptive, context-aware |
Completion rates | 10-30% typical completion | 70-90% with AI[1] |
Data quality | Inconsistent, superficial | Richer, deeper context |
Why use AI for Clinical Trial Participants surveys?
AI survey generators adapt follow-up questions in real time based on each answer, ensuring clarity and completeness.
AI-powered surveys can boost response rates by up to 40% and raise completion rates to 70-90%—huge advantages over manual methods[1][3].
Conversational surveys reduce fatigue and frustration, turning feedback into a friendly chat.
Specific leads in providing best-in-class user experiences for conversational surveys, making data collection intuitive for researchers and effortless for participants. If you want to learn more about designing good questions, check out our guide on best questions for clinical trial participants surveys about informed consent understanding, or see how to easily create your own clinical trial participant survey. If you prefer building a survey from scratch, visit our AI survey generator for full flexibility.
Automatic follow-up questions based on previous reply
With Specific, AI-driven follow-up questions go beyond static forms: the system listens to every answer and poses smart prompts in real time, just like a seasoned researcher. This method uncovers the "why" behind each response, allowing researchers to dive deep into participants' understanding of informed consent—without tedious back-and-forth emails or manual clarification.
Let’s imagine what happens when you don’t have smart follow-ups:
Clinical trial participant: "I think I understood most of it."
AI follow-up: "Could you share which parts were clear to you, and which were confusing?"
Without the AI’s nudge, you’d be left guessing what “most of it” means. These targeted, contextual follow-ups lead to richer, more reliable insights and save hours compared to manual outreach. Want to dig deeper into this feature? See how Automatic AI follow-up questions work.
Curious how a survey feels with dynamic followups? Just try generating one—you'll see the conversation evolve naturally, collecting better, deeper feedback from participants. This is what makes a survey conversational, not just a list of questions.
Easy editing, like magic
You don’t need to navigate complicated interfaces or rewrite scripts to adjust your survey. With Specific, editing is as simple as telling the AI what you want changed in a chat—change the tone, add questions, or reword prompts, and it instantly applies expert-level updates for you. No more repetitive manual tweaks—just clear edits, done in seconds. For a detailed look, visit our AI survey editor overview.
Delivering surveys to clinical trial participants
Getting feedback from clinical trial participants hinges on reaching them where they are most comfortable, and on making their feedback experience painless.
Sharable landing page surveys: Email a simple link to participants or embed the survey in patient portals to assess informed consent understanding. Participants answer on any device at their convenience—no app installs or logins required.
In-product surveys: Gather immediate feedback from participants navigating an online consent module or clinical portal. Launch the survey at the right step in the process for precise, real-time insights on comprehension and decision-making.
For most cases—especially when participants are not inside your app—a sharable landing page is the hassle-free choice. But if you’re running digital consent or onboarding tools, in-product surveys provide targeted, contextual feedback exactly when it’s needed.
AI survey analysis: instant, actionable insights
Once responses roll in, Specific’s AI survey analysis features take over—summarizing every answer, detecting recurring themes, and extracting key insights within seconds. No spreadsheets, no manual effort. Advanced algorithms detect topics, analyze sentiment with over 95% accuracy, and make it simple to chat with AI about survey responses.
Want more details? Read our step-by-step guide on how to analyze clinical trial participants informed consent understanding survey responses with AI to see how fast and rich feedback analysis can be.
See this Informed Consent Understanding survey example now
Experience how fast, in-depth insights can be with a conversational, AI-powered survey—see the example in action and discover a new standard for feedback and understanding.
Related resources
Sources
superagi.com. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy and User Engagement in 2025.
metaforms.ai. AI-Powered Surveys vs. Traditional Online Surveys: Survey Data Collection Metrics.
gitnux.org. Survey Statistics: Analysis and Market Data 2024.
seosandwitch.com. AI Customer Satisfaction Stats 2024.