Here are some of the best questions for a Beta Testers survey about Performance, along with tips for crafting them. We’ve found that you can build an engaging, conversational survey in seconds with Specific, so you can focus on insight, not setup.
Best open-ended questions for Beta Testers survey about performance
Open-ended questions let beta testers share detailed feedback on performance—sometimes surfacing issues we never anticipated. This is crucial for uncovering surprises or bugs that rating grids can’t catch. In fact, studies show that 81% of respondents highlight problems that predefined options miss, like unexpected slowdowns or glitches, when given the chance to answer freely. [2] But it’s also true that open-ended questions have higher nonresponse rates (as much as 18% or even higher in some cases), so it’s smart to keep them focused and minimize survey fatigue. [1]
We recommend asking open-ended questions especially when you need:
Context about specific usage scenarios
Stories about “how” or “why” something happens
Unfiltered feedback about performance bottlenecks, errors, or slowdowns
Here are 10 of the best open-ended questions to ask beta testers about performance:
What’s the first thing you noticed about the product’s speed or responsiveness?
Can you describe any moments where the app felt slow or laggy?
Were there any features that seemed to take longer to load than expected?
Tell us about a time when performance affected your workflow—what happened?
How did the product handle when you multitasked or switched between features?
Did the performance change based on the device or browser you used? Please explain.
Were there any errors, freezes, or crashes? What were you doing at the time?
How do you compare the performance to similar tools you use?
Were you able to get your tasks done quickly, or did something slow you down?
Any other thoughts or suggestions on improving the product’s performance?
Best single-select multiple-choice questions for Beta Testers survey about performance
Single-select multiple-choice questions are perfect when you want to quantify opinions or spot trends quickly. They’re also a great way to start the conversation, making it easier for testers to respond, especially if they’re short on time. After all, sometimes picking a close match is more approachable than writing an essay response. You can always dig deeper later with a follow-up question.
Question: Overall, how would you rate the product’s performance?
Excellent
Good
Fair
Poor
Question: Which aspect of performance concerned you most?
Loading speed
Responsiveness to input
Stability/crashes
Other
Question: Compared to your expectations, how did the product perform?
Much better than expected
Somewhat better than expected
As expected
Worse than expected
When to follow up with "why?" After someone selects a multiple-choice answer—especially a negative or neutral one—it’s smart to ask, “Why did you choose that option?” This opens up the door for richer feedback. For example, if a beta tester picks "Fair" for performance, a follow-up like, “Could you tell us what felt lacking?” often uncovers specifics you’d otherwise miss.
When and why to add the "Other" choice? Always include "Other" when you can’t anticipate every possible answer. Beta testers may notice performance issues you didn’t list—adding "Other" (with a comment box) lets their feedback surface, and smart follow-ups can reveal valuable, unexpected insights.
NPS-style question for beta testers: does it fit?
The Net Promoter Score (NPS) is a simple, proven method to measure loyalty and overall sentiment—even in beta testing. For performance, asking how likely testers are to recommend the product (based on performance) is revealing. It quantifies satisfaction, quickly highlights detractors, and gives you an at-a-glance benchmark to monitor over time. The best part? You can automatically generate an NPS survey for your beta testers with one click through Specific's NPS survey builder.
NPS also pairs well with open-ended follow-up questions so you capture not just a score, but a story behind the number.
The power of follow-up questions
If you really want to unlock the value of your beta testers’ feedback, follow-up questions are essential. A single answer often isn’t enough—beta testers might say “it was slow” and leave you guessing why or where. That’s why we’ve designed Specific’s AI to ask smart, conversational follow-ups dynamically, just like an expert interviewer, in real time.
With follow-up questions, you get:
Details about why something felt slow or buggy
Context about device, browser, steps to reproduce, time of day, or frequency
Actionable insights without chasing testers for clarification after the fact
For example, here’s what happens if you skip follow-ups:
Beta tester: "The app was slow yesterday."
AI follow-up: "Can you tell us what you were trying to do when it felt slow?"
If you didn’t ask “what were you doing at the time?” that clue is lost, and your development team is left in the dark.
How many follow-ups to ask? In general, 2-3 targeted follow-ups are enough for most situations. The smart move is to set clear criteria: as soon as you get the specifics you need, skip to the next question. Specific makes this simple—just define your settings in the survey builder.
This makes it a conversational survey: Each clarification, each nudge for detail, keeps the conversation flowing like a real discussion, not a form. That’s what makes an AI-powered survey truly conversational.
AI survey response analysis, insights, summaries—Even if you collect tons of unstructured feedback, AI makes it easy to analyze and find key themes. See the best way to analyze responses from beta testers using AI for concrete tips.
Automated follow-ups are genuinely a new standard for performance surveys. If you haven’t tried it yet, generate a survey and see the difference for yourself.
How to prompt ChatGPT for great beta testers performance survey questions
Even if you’re using a popular AI model like ChatGPT to come up with your questions, how you prompt makes all the difference. Try starting with a direct request:
Suggest 10 open-ended questions for Beta Testers survey about Performance.
But don’t stop there: the more context you give, the sharper the questions become. Include details about the product, your target audience, and specific performance aspects. For example:
Our SaaS product is used by professional project managers on mobile and desktop. We want to know how the app performs under heavy multitasking and large data loads. Suggest open-ended questions for beta testers to uncover detailed performance feedback.
Once you have your initial questions, ask for structure:
Look at the questions and categorize them. Output categories with the questions under them.
Then, zoom in on the categories that matter most:
Generate 10 questions for categories “Loading speed” and “Stability/crashes.”
This layered prompting gets you a tailored set of high-value questions, fast. Remember: your end goal is feedback you can act on.
What is a conversational survey?
A conversational survey is not a static form. It’s an engaging chat—an AI-driven interview that adapts in real time, probes for clarity, and uncovers context. This live, conversational flow means every beta tester gets a survey that “feels” natural to them, while you get feedback that’s actually useful.
Traditional/manual surveys might ask the basics, but AI survey generators like Specific transform that experience. Here’s how the approach stacks up:
Manual Surveys | AI-generated Surveys |
|---|---|
Rigid form, no real-time adaptability | Dynamic, adapts and probes in context |
Manual analysis, slow insight gathering | Instant AI analysis, themes and summaries |
Hard to get detailed answers | Conversational style increases response quality |
Limited customization, slow iteration | Edit survey by chatting, iterate rapidly |
Why use AI for beta testers surveys? You save time, engage testers, ask better follow-ups, and analyze results faster. “AI survey example” designs can capture problems that manual forms miss, giving you a major edge in performance testing. If you want the best, Specific delivers with a best-in-class experience—both for you and your testers—making feedback truly smooth and actionable.
Curious how it works? Learn exactly how to create a beta testers performance survey with AI, step by step.
See this performance survey example now
Ready to uncover deep, actionable insights from beta testers about performance? See what makes conversational surveys smarter: rapid setup, AI-powered follow-ups, and real insight from every response. Experience smarter feedback today.