Survey example: Citizen survey about bike lanes and trails
Create conversational survey example by chatting with AI.
This is an example of an AI survey about bike lanes and trails for citizens—see and try the example for yourself, and experience how modern feedback tools can redefine community engagement.
Creating surveys about bike lanes and trails that truly capture what citizens want is harder than it sounds; traditional forms leave a lot to be desired, especially when you want the real story behind the numbers.
With Specific, we’ve built survey tools rooted in deep expertise, designed to make every citizen voice count—and every insight actionable.
What is a conversational survey and why AI makes it better for citizens
If you’ve ever built a citizen survey about bike lanes and trails and felt it was too stiff or too one-sided, you’re not alone. Generic forms don’t adapt, leaving gaps in the data and incomplete stories. Enter the modern alternative: the conversational survey, where the AI acts like a facilitator, making the entire process interactive and personal.
AI-powered surveys fundamentally change the experience by holding a back-and-forth conversation instead of running through a script. For example, when a citizen shares thoughts about safety on local bike paths, the survey can seamlessly ask a tailored follow-up—diving into what “safe” means to them or which intersections feel risky. This isn’t just new tech—this is a real improvement for communities seeking honest feedback.
Why does this matter? Studies show that AI surveys achieve completion rates between 70% and 90%, compared to just 10% to 30% for traditional surveys [1]. That’s a massive difference and reflects how much more engaging these AI conversation-style surveys are for citizens. AI adjusts on the fly—if respondents seem hesitant, it makes things easier; if someone is eager to share more, it digs deeper.
Manual surveys | AI-generated surveys |
---|---|
Rigid question order, few follow-ups | Adaptive conversations, relevant follow-ups |
High drop-off rates | 70-90% completion (far higher engagement) |
Tedious to build and analyze | Built, delivered, and analyzed in a single flow |
Why use AI for citizen surveys? The main reason: Context. AI-powered conversational surveys from Specific let people share their lived experiences—the whys and hows behind their responses, not just checkboxes and numbers. The result? Deeper insights for planners and city leaders, and citizens who actually feel heard. Not only that, but the experience is smooth and easy to navigate, both for you as the creator and everyone filling out the survey.
You want citizens engaged, not bored. That’s what our conversational AI survey examples deliver. If you want to know what questions work best, check our guide on best questions for a citizen survey about bike lanes and trails. If you want to start a survey from scratch, try our AI survey generator.
Automatic follow-up questions based on previous reply
The hardest part of any survey isn’t always the initial question—it’s digging deeper when the answer is vague or interesting. That’s where Specific stands out. Our AI doesn’t just move on; it listens, thinks, and follows up just like a human interviewer. The system uses real-time understanding to prompt richer, contextual feedback right as the citizen is sharing. This saves you hours you’d otherwise spend chasing clarification through emails or long analysis sessions, and it leads to clear, actionable responses.
Here’s a glimpse of what happens without thoughtful follow-ups:
Citizen: "I think the bike lanes are okay."
AI follow-up: "Thanks for sharing! When you say 'okay,' what’s one thing you’d improve or change, if anything?"
Without that second question, you’re left with a bland “okay.” The real-world insights—the ones city planners can actually use—are hidden just beneath the surface. AI-powered automatic follow-ups tease those out, effortlessly. Want to see this in action? Generate a survey and experience it firsthand, or explore the feature in depth at automatic AI follow-up questions.
Ultimately, these follow-ups are what make the process conversational. Instead of a rigid form, you initiate a dialogue—improving not just engagement, but real understanding of what’s on your community’s mind.
Easy editing, like magic
Nobody loves wrestling with a survey builder’s endless menus and options, especially when changes need to be made quickly. With Specific, edits are as easy as chatting. You simply describe what you want changed—add a question, adjust the tone, clarify a prompt—and the AI handles all the heavy lifting. There’s no need to be an expert on logic or branching; just say it, and the tool does the rest. Change anything in seconds. Explore this in more detail at our AI survey editor page.
Flexible delivery: landing page or in-product
How you deliver a survey can be just as important as the questions you ask. With Specific, you have two powerful options—and each is perfect for different citizen engagement scenarios around bike lanes and trails:
Sharable landing page surveys:
Great for public consultations—share with residents via community newsletters, local social media, or QR codes at trailheads.
Perfect when you want a broad, inclusive response.
Best for cities with apps or websites where you want immediate, contextual feedback—for example, right after someone uses a local bike route app feature.
Triggers conversations at the ideal moment, so you capture authentic reactions.
For citizen engagement around bike lanes and trails, landing page delivery is usually the fastest route to broad feedback—though in-product surveys win when you want feedback tied to specific user actions or digital touchpoints.
Instant AI survey analysis and actionable insights
Collecting responses is only the beginning. What makes AI survey analysis so powerful in Specific is the auto-magic that follows: survey results are instantly summarized, themes extracted, and insights surfaced—saving hours of manual review. AI can process citizen feedback 60% faster than traditional methods and reaches up to 95% accuracy in sentiment analysis [2].
Features like automatic topic detection, key theme extraction, and direct chat with AI—tailored to your survey—make understanding trends a breeze. Forget spreadsheets; just run a conversational query and get answers. Check out how to analyze citizen bike lanes and trails survey responses with AI for a practical walkthrough, or learn about our AI survey response analysis functionality.
See this bike lanes and trails survey example now
Don’t miss the chance to experience a true AI survey example for citizens—see and try the live conversational survey, and discover the benefits of engaging, accurate, and actionable community insights for yourself.
Related resources
Sources
superagi.com. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025
seosandwitch.com. AI Customer Satisfaction Statistics and Facts (2024)