Survey example: API Developers survey about api documentation quality

Create conversational survey example by chatting with AI.

This is an AI survey example for API developers about API documentation quality—see and try the example. The survey reveals how easy it is to collect actionable feedback on your docs from real API engineers with a few clicks.

Building a truly effective API documentation quality survey is tough—standard forms miss nuance, and manual approaches eat up hours and return patchy data. Most teams struggle to get clarity that actually drives improvement.

Specific offers tools for designing conversational surveys powered by AI, giving you richer insights and making collecting developer feedback seamless and effortless. Every tool and method mentioned here is part of Specific’s platform.

What is a conversational survey and why AI makes it better for API developers

Collecting feedback from API developers about documentation quality presents a unique challenge. Developers want fast, targeted questions that respect their time, but traditional forms end up being a waste—few fill them out, and those who do rarely provide enough detail. That’s where AI-driven conversational surveys come in, transforming feedback into engaging, adaptive conversations rather than stiff questionnaires.

With AI, survey creation is drastically simplified. You can kick things off by simply describing what you want to know—a far cry from wrangling countless input fields by hand. Even better, AI handles follow-ups and probes deeper when it senses ambiguity, surfacing richer insights you’d otherwise miss. This is especially powerful for collecting high-quality feedback on API documentation, which, as 94% of developers say, makes or breaks their decision to stick with an API or not. [1]

Completion rates tell the same story. AI survey examples achieve completion rates of 70-80%, while old-school surveys seldom break 50%. [4] That’s because AI adapts in real time, asking what matters, skipping what doesn't, and minimizing friction for everyone.

Manual Surveys

AI-Generated Conversational Surveys

Time-consuming to create and customize

Built in seconds by describing your goal

Rigid, form-like experience

Dynamic chat adapts to the developer’s input

Frequent drop-offs mid-survey

Higher engagement and response rates

Manual data cleaning and analysis

Instant, AI-powered insights and summaries

Why use AI for API developer surveys? It's simple: AI takes the heavy lifting off your plate and produces better results. You get the questions right, adapt to nuance, and shorten the time from feedback to insight. Plus, AI surveys like the ones on Specific make the whole experience smooth for you and your developer audience—a must-have when product docs make a measurable difference in retention and even sales cycles. [2]

Specific is built for conversational surveys—both the creation and respondent experience are best-in-class, designed specifically to increase engagement and capture deep feedback from experts like API developers. If you want to explore the best questions to ask, check out our guide on best questions for API developers surveys about API documentation quality. If you’re ready to create your own, learn more about the AI survey builder or how to create API developer surveys about documentation quality for your team.

Automatic follow-up questions based on previous reply

The big leap with Specific’s conversational surveys is automatic follow-up. Our AI agent pays attention to every developer’s reply and—in real time—asks expert follow-up questions. This surface-level insight turns into a deep, contextual understanding, capturing all the details you’d get in a 1:1 interview, but at scale.

Think about it this way: If you didn’t probe further, you’d risk taking half-answers at face value, making your feedback data confusing or hollow. For example:

  • API developer: “The docs are okay, but I got stuck.”

  • AI follow-up: “Can you tell me more about where you got stuck? Was it a specific API endpoint, or something missing in the authentication section?”

Without that follow-up, you’d have no clue what “stuck” really means—or whether it’s a quick fix or a critical blocker. Automated follow-ups mean you no longer need to chase people down via email or schedule endless clarification calls. It’s all gathered, in the moment, for richer, actionable insight. See more on how this works at AI survey follow-up questions.

This is a new way to survey—give it a try and see the difference in your response quality. These follow-ups make every API documentation quality survey example feel truly conversational and natural, not just another dull checklist. That’s the magic of a conversational survey.

Easy editing, like magic

Editing your API documentation survey couldn’t be easier. With Specific, you can simply describe any change in plain language—“Add a question about error message clarity” or “Make the tone more welcoming”—and the AI handles it instantly, like an expert editor. No clicking through endless forms or worrying about missing logic. Just chat, update, and launch. Need to tweak the survey for a new API or to dig into another aspect of developer experience? In seconds, your conversational survey is ready to go. Learn more about our chat-based survey editor at AI survey editor.

Sharing: API developer survey delivery methods

Once your API documentation quality survey is ready, delivering it to developers is just as seamless. Specific offers two core delivery methods, so you can choose what fits your workflow:

  • Sharable landing page surveys—Perfect if you want to distribute your AI survey by email, post in developer Slack channels, share on GitHub or forums, or simply gather feedback in one link.

  • In-product surveys—Ideal when you want real-time feedback from API users right inside your developer portal or dashboard. This is invaluable for immediate context—ask about onboarding docs just after someone tries them, or trigger a survey after a developer finishes integrating a new endpoint.

For API developers and API documentation surveys, in-product surveys are especially powerful. They catch developers at the exact moment they hit documentation blockers or have fresh feedback, so you don’t have to rely on memory. But when you want to reach external or community users, or collect public feedback, landing page surveys work perfectly as well.

Analyzing responses—AI-powered survey insights

Once API developers start responding, AI survey analysis in Specific takes over—you don’t have to wrangle spreadsheets or comb through hundreds of open-ended answers. Every API survey response is instantly summarized, and the AI flags key topics, recurring problems, sentiment, and actionable advice for your team. You can even chat directly with AI about the results to ask nuanced follow-up questions, unlocking insights that would normally take days to surface. See our guide on how to analyze API developers API documentation quality survey responses with AI for a closer look at automated survey insights, topic detection, and deep-dive analysis features.

See this API documentation quality survey example now

Experience how easy it is to collect, refine, and act on developer feedback—see a real, working conversational survey for API developers and discover what makes Specific uniquely powerful for actionable, high-quality insights in minutes.

Try it out. It's fun!

Sources

  1. blog.api.market. 94% of developers say API documentation quality shapes their decision to use or stick with an API.

  2. blog.api.market. Poor API documentation can lengthen sales cycles by 50%.

  3. idratherbewriting.com. Only 23% of teams rate their own API docs as “good.”

  4. theysaid.io. AI conversational surveys see 70–80% completion, traditional surveys 45–50%.

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.