Create your survey

Create your survey

Create your survey

Best questions for power user survey about advanced feature usage

Adam Sabla - Image Avatar

Adam Sabla

·

Aug 28, 2025

Create your survey

Here are some of the best questions for a Power User survey about advanced feature usage, plus quick tips on designing them. If you want to build a survey fast, you can generate one instantly with Specific: build your own conversational survey in seconds.

Best open-ended questions for power user survey about advanced feature usage

Open-ended questions are essential when we want deep, nuanced feedback. They let power users go beyond surface-level answers and share their real experiences, pain points, and wish lists. We use them whenever we want context—where, why, and how people use advanced features—rather than simple yes/no stats.

  1. Can you describe the most advanced features you use regularly and how they impact your workflow?

  2. What motivated you to first try out our advanced features?

  3. What specific tasks do these advanced features help you complete more efficiently?

  4. Describe a situation where an advanced feature saved you significant time or effort.

  5. Are there any advanced features you tried but stopped using? Why?

  6. What challenges have you faced when using advanced features?

  7. How would you improve our advanced feature set?

  8. Can you share any best practices or tips you’ve discovered when using advanced features?

  9. What other tools’ advanced features do you admire, and what makes them effective?

  10. Is there a feature you believe should be considered “advanced” but currently isn’t?

We see open-ends shine especially with power users—they often have domain expertise and unique stories. Plus, insights from one can inspire features for all. No surprise that over 50% of respondents in a recent AI workforce survey reported significant productivity gains with AI-enabled surveys, partly due to richer, more actionable responses. [5]

Best single-select multiple-choice questions for power user survey about advanced feature usage

Single-select multiple-choice questions are great when we need to quantify user trends, spot adoption clusters, or quickly identify top pain points. Some power users appreciate picking from quick options, especially as a prompt for a deeper follow-up—sometimes it’s easier to choose before explaining in detail.

Question: Which advanced feature do you find most valuable in your daily work?

  • Batch processing

  • Automation macros

  • Integrations/API

  • Data visualization

  • Other

Question: How often do you use advanced features?

  • Daily

  • Several times a week

  • Once a week

  • Rarely

  • Never

Question: When did you first begin using advanced features?

  • Immediately after signing up

  • After basic features felt limiting

  • Following a specific need or project

  • After seeing a tutorial or documentation

When to followup with "why?" Asking “why?” or requesting specifics right after a user picks an option is one of the best ways to dig deeper. For example, someone who selects “Data visualization” as most valuable can be prompted: “Why do you find data visualization the most valuable? Can you give an example from your workflow?” This is especially powerful with power users; we often uncover hidden needs or priorities by prompting for the story behind the choice.

When and why to add the "Other" choice? "Other" is crucial whenever we’re not 100% sure we’ve included every possible answer. It signals you value fresh perspectives and can lead to unexpected insights, especially with a follow-up asking, “Which other advanced feature do you use, and why is it important to you?”

Should you include an NPS question?

NPS (Net Promoter Score) is a powerful way to gauge not just satisfaction, but real advocacy among your most sophisticated users. For advanced feature usage, it tells us how feature depth and quality influence loyalty and word-of-mouth. Measuring NPS among your power users helps pinpoint whether your advanced capabilities are a true differentiator—and lets you segment feedback based on likelihood to recommend. Try it yourself with Specific’s AI-powered NPS survey template for power users.

The power of follow-up questions

Follow-up questions make the difference between bland and brilliant insights. Instead of guessing what “it doesn’t meet my needs” truly means, we let the AI probe in real time: “What needs did you have in mind?” Specific’s AI follow-up system automatically asks targeted, relevant clarifying questions, just like a skilled researcher.

  • Power user: I use batch processing sometimes, but only when the project is complex.

  • AI follow-up: What makes a project complex enough for you to use batch processing?

  • Power user: The integrations are useful, but can be confusing.

  • AI follow-up: Which part of setting up integrations do you find most confusing?

How many followups to ask? Two or three follow-ups are usually enough for each open-ended response. Go deeper if you want, but it’s smart to let users skip once you’ve collected enough info. Specific lets you control this easily, so every interaction stays concise and focused.

This makes it a conversational survey: Every response leads somewhere. Instead of a static form, it’s a chat-style conversation, where each answer shapes what comes next—so feedback is more honest, richer, and actionable.

AI-powered response analysis is now practical: AI lets you analyze and summarize responses lightning-fast, even with large volumes of open text. See how it works in our guide to AI-powered survey response analysis: you can ask the AI for trends, categorize pain points, and explore themes interactively, just like you would chat with ChatGPT.

According to recent benchmarks, AI surveys achieve completion rates between 70-80%, compared to just 45-50% for old-school forms—a massive lift for anyone wanting actionable insights. [6]

I recommend generating a survey yourself and experiencing how automatic AI follow-up questions feel—the difference is tangible.

How to prompt ChatGPT (or any GPT) to write great survey questions

Prompt engineering is a serious advantage when using AI tools. The more context we give, the better—the AI tailors questions that match your product, power user mindset, and research objectives.

A simple starter:

Suggest 10 open-ended questions for Power User survey about advanced feature usage.

More context means higher quality:

We’re building a survey for experienced users of our SaaS platform. Our goal is to find out how they use advanced features like automation, batch processing, and APIs, what value these add, and where they see friction. Can you suggest 10 highly targeted open-ended questions that dig into benefits, pain points, and feature gaps?

After you get your initial questions, organize them for structure:

Look at these questions and categorize them. Output categories with the questions under them.

Then, double down on what matters most. For example, if categories include Onboarding, Productivity, and Integrations, write:

Generate 10 questions for categories Productivity and Integrations.

Understanding conversational surveys

At the core, a conversational survey is an interactive chat, guided by AI or smart rules, that feels like a natural back-and-forth. Unlike traditional surveys, this format leverages dynamic follow-ups to encourage richer stories, clarify meaning, and prompt for details—no more rigid forms or unanswered questions. We’ve written a detailed guide to creating a conversational survey for advanced feature usage if you want step-by-step help.

Manual Surveys

AI-Generated Conversational Surveys

Static questions, no real interaction

Adaptive, chat-style engagement

Respondent fatigue—boring forms

Feels engaging, like talking to a product expert

Data often incomplete or unclear

Automatic follow-ups clarify and probe

Manual setup, slow analysis

Instant AI survey generation and analysis

Why use AI for power user surveys? The answer is engagement and insight. We need speed, precision, and the flexibility to ask probing follow-ups on the fly. AI survey examples—conversational, adaptive, and personalized—massively outperform clunky manual surveys both in completion rate and in the detail you extract from advanced users.

Specific offers the smoothest conversational survey experience—quick to build, easy for users, with truly actionable insights at the end.

See this advanced feature usage survey example now

Discover how much more value you can unlock with the right questions—see insights from your power users in a conversational flow, get smart follow-ups, and analyze responses instantly with AI. Create your survey in minutes and let Specific do the heavy lifting.

Create your survey

Try it out. It's fun!

Sources

  1. Authority Hacker. 75.7% of online marketers are now using AI tools.

  2. ITPro. 75% of developers use AI tools regularly, with 64% reporting weekly use.

  3. Axios. 93% of Gen Z knowledge workers, aged 22 to 27, are utilizing generative AI tools regularly.

  4. TechRadar Pro. British SMEs integrating AI in daily operations.

  5. Piktochart. Over 50% of respondents felt that AI significantly increased their productivity at work.

  6. SuperAGI. AI surveys achieve completion rates of 70-80%, compared to 45-50% for traditional surveys.

  7. 20i. 79% of web professionals use an AI tool at least once per week.

  8. Planable. Nearly 40% of marketers are using AI tools on a daily basis, with 17% using at least once per week.

  9. SuperAGI. Global AI market projection for 2025 and beyond.

  10. SurveyMonkey. 43% of users have used AI for work or professional purposes in the last three months.

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.

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.