Beta Testers survey about feature requests

Create expert-level survey by chatting with AI.

Generating a high-quality Beta Testers survey about feature requests doesn’t have to feel daunting or time-consuming. Instead, you can use an AI survey generator right here on Specific to get thoughtful surveys with just a click—fast, effective, and built for insight. Ready to try? Let’s dive in.

Why gather feature requests from beta testers?

Soliciting feedback from beta testers on feature requests does more than collect a wish list—it uncovers real product gaps, surfaces novel ideas, and validates what matters to your audience. If you’re not running these surveys, you’re overlooking a goldmine of actionable insights and risking missed opportunities for product growth. The importance of beta testers feedback can’t be overstated: over half of teams (51.53%) actively involve end users in their testing process, recognizing that feedback from people actually using the product is essential for building what users truly want and need [1].

  • Without structured input, you risk building features no one asked for or missing critical pain points.

  • Continuous feedback loops help prioritize your roadmap, decreasing wasted development resources.

  • Recognition surveys also boost tester engagement; when people feel heard, they’re more likely to stay involved and provide better insights.

Plus, 82% of QA professionals believe AI will be important in the next 3-5 years, including for analyzing feedback like this [1].

The advantage of using an AI survey generator

Manually writing and structuring surveys eats up both your time and mental energy. An AI survey generator like the one built into Specific offloads the guesswork, instantly creates relevant questions, and even proposes smart follow-up prompts to dig deeper—all at your command. According to recent data, 78% of software testers have already adopted AI to streamline tasks including test case and feedback survey generation [1]. The bottom line: AI survey builders not only make the process faster, they consistently deliver higher-quality, better-structured surveys.

Manual surveys

AI-generated surveys

Labor-intensive and repetitive

Generated instantly from a prompt

Prone to unclear or biased questions

Expert phrasing, avoids bias

No automated probing, only what’s listed

Real-time dynamic follow-ups for depth

Difficult to iterate quickly

Easy to update by chatting with AI

Why use AI for beta testers surveys?

Specific offers best-in-class user experience when it comes to conversational, AI-powered surveys. The feedback process feels like a real chat, drawing out richer, more detailed responses from your beta testers. It’s immediate, context-aware, and seamlessly adapts the survey flow—giving you a modern advantage over static forms.

You can explore more about the benefits of conversational surveys in our related guide: how to create beta testers survey about feature requests.

Designing questions that drive real insight

Great insights depend on asking the right questions—the difference between “What did you think of this feature?” (vague) and “What problem did this feature help you solve? What, if anything, would have made it more useful for your workflow?” (specific and actionable). Specific’s AI draws on expert knowledge to craft questions and avoids vague, leading, or biased phrasing automatically.

Let’s look at a concrete example:

  • Bad question: “Did you like the new update?” (subjective, result is yes/no, zero context)

  • Good question: “What’s one thing about the new update that improved your experience—or something you’d change?”

Our tool also guides you away from questions that slide into asking for multiple things at once or assuming user experience.

Actionable tip: Focus each question on a single topic and invite elaboration ("What did you expect to happen when you used X? What happened instead?"). If you want a deeper dive on question design for this use case, check out best questions for beta testers survey about feature requests.

Automatic follow-up questions based on previous reply

Specific’s AI dynamically generates follow-up survey questions in real time, based on each unique response from your beta testers. These context-aware probes avoid ambiguity and clarify intent—something static forms can’t do. For example, if someone gives an unclear reply, here’s how it plays out:

  • Beta tester: “The new search feature is ok, but I’m not sure about it.”

  • AI follow-up: “Could you share what felt off about the search feature? Was it the speed, accuracy, or another aspect?”

If you don’t ask follow-ups, you end up with incomplete responses that drive more manual work later—like chasing testers down via email. Our AI handles it on the spot, making the process seamless and ensuring you get clear, actionable feedback.

Follow-ups turn surveys into conversations, so it’s a full conversational survey experience. Want to see how it feels? Try generating your own survey now and watch these automatic follow-ups at work. More on this capability here: automatic AI follow-up questions.

How to deliver your beta testers survey

Getting surveys in front of your audience shouldn’t require workarounds. At Specific, you can launch surveys to beta testers in a way that fits your workflow—whether you want to share via link or collect responses inside your platform. Here’s how:

  • Sharable landing page surveys: Instantly generate a unique survey link. Email it to your beta testers, share in Slack, or attach it to your next release notes. Perfect for testing new features with a selected set of users or capturing ad hoc product feedback.

  • In-product surveys: Directly reach users while they’re engaging with your product. Target specific testers based on their actions (like triggering the survey after they use a new feature) and collect contextual feedback without breaking the experience.

For most feature requests surveys with beta testers, in-product delivery ensures maximum response rates and captures feedback when it’s fresh. But landing page links are invaluable for external testers or private beta cohorts.

Analyzing survey responses with AI

When it’s time to review results, Specific’s AI survey analysis makes it effortless. The platform automatically summarizes responses, detects recurring topics, and helps you chat with the data—as if you had a dedicated research analyst analyzing every beta tester’s feedback. No more copy-pasting into spreadsheets or losing time on manual reviews. For a deeper look at these capabilities, see our guide on how to analyze beta testers feature requests survey responses with AI.

Create your feature requests survey now

Start gathering richer, smarter feature feedback from your beta testers—use our AI survey generator to create your custom survey in seconds and discover what matters most.

Try it out. It's fun!

Sources

  1. Katalon. Test Automation Statistics for 2025

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.