Survey example: API Developers survey about sdk usability
Create conversational survey example by chatting with AI.
This is an example of an AI survey about SDK usability for API developers. If you want to gather smarter feedback, see and try the example.
Creating effective API developers SDK usability surveys can feel overwhelming—getting quality responses and actionable insights is tough, especially with low engagement and unclear answers.
We've seen this pain point a lot at Specific. We’ve built a set of specialized survey tools to help solve these issues, so if you want to go deeper, everything you see here is powered by Specific.
What is a conversational survey and why AI makes it better for API developers
Most traditional surveys for API developers land with a thud—response rates are low, and questions often don't adapt in real time to developer-specific needs. The challenge? Developers want concise, purposeful surveys that actually listen to their feedback, and product teams need data they can actually use.
Conversational surveys change the game. Instead of firing generic questions in a flat form, the survey becomes a two-way, interactive chat—capturing more context and keeping developers engaged instead of bored or annoyed. But building these surveys manually takes time, expertise, and effort that few teams have on hand. That’s where an AI survey builder like Specific steps in.
Let’s compare:
Manual Survey Creation | AI-generated Conversational Survey |
---|---|
Static, generic questions | Dynamic, adaptive questions based on responses |
Time-consuming set up | Survey created by AI in seconds from a prompt |
Low engagement; feels like a chore | Feels like a chat—more personal and engaging |
Rarely includes follow-ups | Expert-level follow-up questions for clarity |
Manual analysis of results | Automated, AI-powered insights on completion |
Why use AI for API developer surveys?
It’s proven that survey design has a huge impact on response rates—surveys with a conversational tone and interactive features (like those Specific offers) see response rates as high as 40% compared to old-school methods. When targeting API developers, the bar for meaningful engagement is even higher, but using targeted, conversational, AI-powered strategies, some tech companies have boosted participation rates up to 60%—and the very best teams see rates over 90% when they address clarity, frequency, and context. [1][2]
Specific delivers a top-tier conversational survey experience, with the AI survey example on this page built to collect deeper, clearer feedback from API developers about SDK usability. If you want to create your own, try our AI survey generator or follow our guide to create an API developer survey about SDK usability.
Automatic follow-up questions based on previous reply
Asking a direct question gets you a direct answer. But rarely is it complete or clear, especially with technical topics like SDK usability. Specific’s AI is always listening—it automatically asks smart, context-aware follow-up questions based on the respondent’s last answer, mirroring what a sharp interviewer would do in real time. This means richer, more detailed insights—without the usual time drain of sending follow-up emails or running interviews yourself.
Let’s look at an example:
API developer: “The documentation wasn’t helpful.”
AI follow-up: “Can you tell me which sections of the documentation you found confusing, or what information was missing?”
API developer: “Integration took a while.”
AI follow-up: “Was there a particular step in the integration process that slowed you down, or was it related to SDK compatibility issues?”
Without these follow-ups, you’re often stuck with vague or incomplete feedback. With the right probing, you get clarity—immediately. If you’re curious, try generating a survey like this and see how the automated follow-ups work. Want to know more? Check out how it works in detail on our AI follow-up questions feature page.
Those follow-ups are what make the survey conversational, not just transactional—so you’re running a true conversational survey, not a form with a different skin.
Easy editing, like magic
Building good surveys used to mean tinkering endlessly, iterating one dull form field at a time. With Specific, you tell the AI—in natural language—what you want to change and it rewrites or restructures the survey instantly, using best practices and its expertise. No clunky UI. No technical hoops to jump through. Want to adjust a question about SDK privacy or add a multiple-choice about documentation? You get it done in seconds, not hours. Discover more about the editing process on our AI survey editor feature page.
Survey delivery: in-product & landing page
Whether you’re gathering feedback from a specific set of API developers or the broader community, Specific gives you two flexible options:
Sharable landing page surveys are perfect for posting to developer forums, sending in newsletters, or sharing with any audience outside your own product. You get a unique link to distribute wherever your developer audience is most active, making it ideal for early feedback on SDK documentation or new versions.
In-product surveys are embedded directly in your SaaS product or dashboard. These trigger at the right moment—like after an integration is completed or when a new SDK feature is launched—getting fresh, relevant context while it’s still top of mind. This is by far the most effective way to reach developers who actually use your SDK in production and to get usability feedback in context.
If you’re running a platform or developer tool, prioritize in-product delivery—it targets the right developers at key moments and prevents survey fatigue. Curious about how you might combine multiple approaches? We have more on survey delivery in our guide to the best questions and tactics for API developers about SDK usability.
AI survey analysis: instant insights, zero spreadsheets
After collecting responses from API developers, you want answers—not a headache. Our AI-powered analysis engine in Specific highlights key themes, summarizes complex feedback, and lets you chat directly with the results (think ChatGPT for survey data). No need to wade through spreadsheets or track down patterns manually. Features like instant topic detection and conversational filtering mean you can turn SDK usability feedback into product improvements fast. To learn more about how this works, read our guide on how to analyze API developers SDK usability survey responses with AI.
See this SDK usability survey example now
Get inspired by the best—see how a true conversational survey works for API developers, go deeper with real-time follow-up, and turn feedback into action instantly with AI.
Related resources
Sources
abinoda.com. Survey Participation Rates: How to Get More Responses from Developer Experience Surveys
gitnux.org. Average Survey Response Rate Statistics
arxiv.org. Audit of Android Third-Party SDKs Privacy Policy and Over-Collection of Sensitive Data